571 20 16481 Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Faculty Publications Book Chapter Faculty Publications- Book Chapter Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Creator An entity primarily responsible for making the resource Ramakrishnan, Rashmi; Al-Khayri, Jameel M.; Nagella, Praveen Title A name given to the resource Harnessing Salt-Tolerant Medicinal Plants: A Sustainable Approach to Agriculture and Herbal Medicine Date A point or period of time associated with an event in the lifecycle of the resource 01-01-2026 Source A related resource from which the described resource is derived Environmental Science and Engineering;Volume;Part F1931;pp.91-111 Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.1007/978-3-032-01059-9_5" target="_blank" rel="noreferrer noopener">https://doi.org/10.1007/978-3-032-01059-9_5</a> <a href="https://www.scopus.com/pages/publications/105039337010?origin=resultslist" target="_blank" rel="noreferrer noopener">https://www.scopus.com/pages/publications/105039337010?origin=resultslist</a> Coverage The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant Ramakrishnan R., Department of Life Sciences, School of Sciences, Christ University, Bengaluru, India; Al-Khayri J.M., Department of Agriculture Biotechnology, College of Agriculture and Food Sciences, King Faisal University, Al-Ahsa, Saudi Arabia; Nagella P., Department of Life Sciences, School of Sciences, Christ University, Bengaluru, India Description An account of the resource Global agricultural productivity is significantly hampered by salt-affected soils, which calls for sustainable management techniques. The promise of salt-tolerant medicinal plants as a twofold answer for recovering saline lands and generating useful phytochemicals for therapeutic applications is highlighted in this review. Through a variety of adaptation processes, such as osmoprotection, ion compartmentalization, and antioxidant defense, certain medicinal species, such as Aloe vera, Catharanthus roseus, Plantago ovata, Capparis spp., and Salicornia, exhibit an innate tolerance to high salinity. Exogenous applications of plant biostimulants, beneficial microbes, and nanoparticles can further increase their resilience. Furthermore, the integration of omics approachesgenomics, transcriptomics, proteomics, and metabolomicshas advanced our understanding of the molecular basis of salt tolerance and secondary metabolite regulation in these plants. In addition to promoting their wider application in saline agriculture and herbal medicine, this review highlights the ecological and pharmacological importance of salt-tolerant medicinal plants, providing a viable route to soil regeneration and the synthesis of bioactive compounds. The Author(s), under exclusive license to Springer Nature Switzerland AG 2026. Subject The topic of the resource Halophytes; Salinity stress; Salt-tolerant medicinal plants; Stress adaptation; Sustainable agriculture Publisher An entity responsible for making the resource available Springer Science and Business Media Deutschland GmbH Relation A related resource ISSN: 18635520; Language A language of the resource English Type The nature or genre of the resource Book chapter Rights Information about rights held in and over the resource Restricted Access; Hardcopy may be available in the library Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Faculty Publications Book Chapter Faculty Publications- Book Chapter Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Creator An entity primarily responsible for making the resource Ramakrishnan, Rashmi; Al-Khayri, Jameel M.; Nagella, Praveen Title A name given to the resource Phytochemicals and Biological Activities of Flowers of Chrysanthemum Date A point or period of time associated with an event in the lifecycle of the resource 01-01-2026 Source A related resource from which the described resource is derived Bioactive Compounds in Edible Flowers;pp.102-128 Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.1201/9781003645979-6" target="_blank" rel="noreferrer noopener">https://doi.org/10.1201/9781003645979-6</a> <a href="https://www.scopus.com/pages/publications/105029210116?origin=resultslist" target="_blank" rel="noreferrer noopener">https://www.scopus.com/pages/publications/105029210116?origin=resultslist</a> Coverage The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant Ramakrishnan R., Department of Life Sciences, School of Sciences, CHRIST University, Bengaluru, 560029, India; Al-Khayri J.M., Department of Agricultural Biotechnology, College of Agriculture and Food Sciences, King Faisal University, Al-Ahsa, 31982, Saudi Arabia; Nagella P., Department of Life Sciences, School of Sciences, CHRIST University, Bengaluru, 560029, India Description An account of the resource A prominent edible flower in the Asteraceae family, Chrysanthemum morifolium is used extensively in traditional medicine and as a functional food because of its many different bioactive compounds. It has significant pharmacological properties and is abundant in flavonoids, phenolic acids, terpenoids, polysaccharides, and derivatives of caffeoylquinic acid. Its neuroprotective, hepatoprotective, anticancer, antidiabetic, antioxidant, anti-inflammatory, and larvicidal qualities have all been shown in scientific research. The reduction of oxidative stress and apoptosis in brain cells is associated with its neuroprotective effects, whereas the modulation of antioxidant pathways is associated with its hepatoprotective benefits. Because of its capacity to trigger apoptosis and control the cell cycle in cancer cells, the flower is said to have anticancer properties. It also supports its antidiabetic potential by improving glucose metabolism and insulin sensitivity. Its anti-inflammatory and antioxidant properties aid in the fight against oxidative stress and associated illnesses. Although moderate consumption is advised, toxicological research indicates that it is generally safe to consume. Processing methods such as formulation, drying, and extraction affect the compounds stability and bioavailability. Through a thorough examination of its phytochemistry, biological activities, safety profile, and processing considerations, this chapter emphasizes C. morifolium as a valuable natural therapeutic and functional food ingredient, highlighting its potential to prevent disease and promote health. 2026 Hosakatte Niranjana Murthy. Publisher An entity responsible for making the resource available CRC Press Relation A related resource ISBN: 978-104058108-7; 978-104107986-6; Language A language of the resource English Type The nature or genre of the resource Book chapter Rights Information about rights held in and over the resource Restricted Access; Hardcopy may be available in the library Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Faculty Publications Book Chapter Faculty Publications- Book Chapter Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Creator An entity primarily responsible for making the resource Ramakrishnan, Rashmi; Nagella, Praveen; Al-Khayri, Jameel M. Title A name given to the resource Biotic and Abiotic Elicitation for Enhanced Production of Stilbenes Date A point or period of time associated with an event in the lifecycle of the resource 01-01-2025 Source A related resource from which the described resource is derived Elicitation Methods for Improvement in Plant Secondary Metabolites;pp.365-384 Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.1007/978-981-95-0343-8_17" target="_blank" rel="noreferrer noopener">https://doi.org/10.1007/978-981-95-0343-8_17</a> <a href="https://www.scopus.com/pages/publications/105024047188?origin=resultslist" target="_blank" rel="noreferrer noopener">https://www.scopus.com/pages/publications/105024047188?origin=resultslist</a> Coverage The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant Ramakrishnan R., Department of Life Sciences, School of Sciences, Christ University, Bengaluru, India; Nagella P., Department of Life Sciences, School of Sciences, Christ University, Bengaluru, India; Al-Khayri J.M., Department of Agricultural Biotechnology, College of Agriculture and Food Sciences, King Faisal University, Al-Ahsa, Saudi Arabia Description An account of the resource Stilbenes are a class of phytoalexins with important pharmacological characteristics, such as anti-inflammatory, anticancer, and antioxidant effects. These substances have drawn interest due to their possible uses in the pharmaceutical, nutraceutical, and cosmetic sectors. Nevertheless, the endogenous production of stilbenes in plants is often limited, necessitating the development of strategies to boost their yield. Elicitation has been shown to be a viable strategy for increasing stilbene biosynthesis in plants by utilizing both biotic and abiotic elicitors. This review delves deeply into the most recent developments in biotic and abiotic elicitation methods used to boost stilbene production. The mechanisms by which different biotic elicitors, including plantmicrobe symbiosis, pathogen infection, and microbial interactions, stimulate the biosynthesis of stilbenes are discussed. Discussion of the molecular mechanisms behind elicitor-induced stilbene biosynthesis emphasizes the activation of key biosynthetic pathways, regulatory genes, and transcription factors. It has been demonstrated that elicitors like methyl jasmonate, chitosan, and fungal extracts, as well as UV-C light and cyclodextrins, increase the expression of key enzymes like resveratrol synthase (RS), stilbene synthase (STS), and phenylalanine ammonia-lyase (PAL), which, in turn, increases the accumulation of stilbenes. Recent developments in metabolic engineering are emphasized as promising methods to further increase stilbene yields, such as gene editing and overexpressing biosynthetic genes. By integrating these strategies, we focus on offering a thorough insight into the elicitation processes that can be harnessed to optimize stilbene production, thereby contributing to the development of sustainable and efficient production systems for these valuable phytochemicals. To aid in the development of superior and scalable methods for producing these valuable compounds, this review attempts to provide a thorough understanding of how to improve stilbene production biotechnologically by integrating insights on biotic and abiotic elicitation. 2025 The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. Subject The topic of the resource abiotic elicitors; Biotic elicitors; Cyclodextrins; Elicitors; Methyl jasmonate; Resveratrol; Stilbenes Publisher An entity responsible for making the resource available Springer Science+Business Media Relation A related resource ISBN: 978-981950343-8; 978-981950342-1; Language A language of the resource English Type The nature or genre of the resource Book chapter Rights Information about rights held in and over the resource Restricted Access; Hardcopy may be available in the library Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Articles Article Faculty Publications -Articles Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Identification of broken characters in degraded documents Subject The topic of the resource Chain code; Heuristic information; Horizontal projection profile; Mean-based thresholding; OCR; Vertical projection profile Description An account of the resource Optical Character Recognition (OCR) deals with the recognition of characters in a text document. Steps like Preprocessing, Segmentation and Recognition are embedded in the OCR machine. When a document is scanned it will be taken into OCR and will recognize the characters. But noisy scanning of documents, low-quality printed documents and thresholding error leads to the generation of broken characters. When these documents are given as inputs into OCR, the recognition becomes a tedious process since the broken characters are misunderstood by the OCR machine. So the broken characters have to be identified and segmented separately. This work aims to enhance the degraded documents with broken characters using image processing techniques. For identifying or recognizing the broken character from the image various techniques like vertical projection profile, horizontal projection profile, chain code, mean based thresholding are used. The lines from the document are separated using line segmentation. Separate characters are extracted using Vertical Projection Profile and Horizontal Projection Profile. The character is identified using chain coding. The broken characters are found from them using Mean-based Thresholding and is merged using Heuristic information. The proposed method achieves an accuracy of 92.88% and also performs well for color image documents as well as black and white image documents also because of the effective preprocessing. 2018 Intelligent Network and Systems Society. Creator An entity primarily responsible for making the resource Ramalingam K.; Bhojan R. Source A related resource from which the described resource is derived International Journal of Intelligent Engineering and Systems, Vol-11, No. 3, pp. 130-137. Publisher An entity responsible for making the resource available Intelligent Network and Systems Society Date A point or period of time associated with an event in the lifecycle of the resource 2018-01-01 Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.22266/IJIES2018.0630.14" target="_blank" rel="noreferrer noopener">https://doi.org/10.22266/IJIES2018.0630.14</a> <a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85050968301&doi=10.22266%2FIJIES2018.0630.14&partnerID=40&md5=aed79443139d4376c917bc45e98201f7" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85050968301&doi=10.22266%2fIJIES2018.0630.14&partnerID=40&md5=aed79443139d4376c917bc45e98201f7</a> Rights Information about rights held in and over the resource All Open Access; Bronze Open Access Relation A related resource ISSN: 2185310X Format The file format, physical medium, or dimensions of the resource Online Language A language of the resource English Type The nature or genre of the resource Article Coverage The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant Ramalingam K., Department of Computer Science, Christ University, Hosur Road, Bengaluru, Karnataka, India; Bhojan R., Department of Computer Science, Christ University, Hosur Road, Bengaluru, Karnataka, India Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Faculty Publications Article Faculty Publications -Articles Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Creator An entity primarily responsible for making the resource Ramalingegowda, Rashmi; Nagalapur Gadilingappa, Manjula; Borehalli Mayegowda, Shilpa; M, Sahana; T, Vikramadhithya; Muthukumaran; H, Sachin D. Title A name given to the resource A heavy metal tolerant Thiopseudomonas alkaliphila strain as a potential plant growth promoter isolated from Bengaluru region Date A point or period of time associated with an event in the lifecycle of the resource 01-01-2026 Source A related resource from which the described resource is derived Gene Reports;Volume;42;Issue;;Article No.;102425; Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.1016/j.genrep.2025.102425" target="_blank" rel="noreferrer noopener">https://doi.org/10.1016/j.genrep.2025.102425</a> <a href="https://www.scopus.com/pages/publications/105027041729?origin=resultslist" target="_blank" rel="noreferrer noopener">https://www.scopus.com/pages/publications/105027041729?origin=resultslist</a> Coverage The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant Ramalingegowda R., Department of Microbiology, School of Basic and Applied Sciences (SBAS), Dayananda Sagar University, Karnataka, Bengaluru, 560100, India; Nagalapur Gadilingappa M., Department of Microbiology, School of Basic and Applied Sciences (SBAS), Dayananda Sagar University, Karnataka, Bengaluru, 560100, India; Borehalli Mayegowda S., Department of Psychology, CHRIST -Deemed to be University, Bangalore Kengeri Campus, Kanmanike, Kumbalgodu, Mysore Road, Karnataka, Bangalore, 560074, India; M S., Department of Microbiology, School of Basic and Applied Sciences (SBAS), Dayananda Sagar University, Karnataka, Bengaluru, 560100, India; T V., Department of Clinical Genetics, Anderson Diagnostic Services Pvt Ltd, Kilpauk, Chennai, 600010, India; Muthukumaran, Department of Clinical Genetics, Anderson Diagnostic Services Pvt Ltd, Kilpauk, Chennai, 600010, India; H S.D., Department of Clinical Genetics, Anderson Diagnostic Services Pvt Ltd, Kilpauk, Chennai, 600010, India Description An account of the resource Thiopseudomonas alkaliphila, a Pseudomonadaceae has diverse environmental role that has not been much explored. Current study highlights, the isolated strain from industrial sites of Bengaluru with heavy metal tolerance against lead, chromium and cadmium. The antibiotic susceptibility test (AST) and minimum inhibitory concentration (MIC) showed sensitive against all the antibiotics used in the study. Subsequently, 16s rRNA analysis established and closely related to T. alkaliphila D2441 strain, whole genome was submitted, GenBank SRA database accession number is as follows PRJNA1258058. The unravelling of genetic determinants analyzed for heavy metals, antibiotic resistance and plant growth promoting traits were compared with related strains. A single chromosome with 2,400,551 bp length, average GC ratio 49.44 % and with 1941 protein-encoding genes (PEGs), the strain can bioremediate different heavy metals (354 genes/proteins), along with an aptitude as plant growth promoting rhizobacteria (PGPR) evidenced by genes showcasing tolerance against adverse environmental conditions under stress for phytohormones, plant nutrient acquisition, heat and shock chaperones, siderophore etc. The study highlights, T. alkaliphila as a non-pathogenic, potential heavy metal remediator with potential activity for PGPR traits at genetic levels. 2025 Subject The topic of the resource Antibiotic susceptibility test (AST); Heavy metals; Minimum inhibitory concentration (MIC); Plant growth promoting rhizobacteria (PGPR); Thiopseudomonas alkaliphila Publisher An entity responsible for making the resource available Elsevier Inc. Relation A related resource ISSN: 24520144; Language A language of the resource English Type The nature or genre of the resource Article Rights Information about rights held in and over the resource Restricted Access; Hardcopy may be available in the library Format The file format, physical medium, or dimensions of the resource online Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Conference Papers Conference Paper Faculty Publications- Conference Papers Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource CBMIR: Content Based Medical Image Retrieval Using Hybrid Texture Feature Extraction Method Subject The topic of the resource CBIR; CBMIR; Euclidean Distance Method; LBP; Precision; Recall Description An account of the resource Due to the revolution of digital era in the medical domain at various hospitals across the world, the online users on the internet access have been increased. So the amount of collections of digitized medical images has grown rapidly and continuously. As well it is ratting significant to mention that the images are globally used by radiologists, professors in medical colleges and Lab technicians, etc. These Images are increasingly applied to communicate information about patient history. In this context, there is a necessity to develop appropriate systems to manage these medical images in storage and retrieval for diagnosis of the patient information. Another big issue is the convolution of image data and that can be interpreted in different ways. In order to manipulate these data and establish policies to its content is very tedious job. This will raise another big question. These issues motivated the researchers to give more focus on the image retrieval area whose goal is trying to solve those problems to provide an efficient retrieval system to the user community. In this perspective, this work has been proposed to facilitate radiologists, professors in medical colleges, lab technicians, and all other medical image user communities for their purpose for easy access from the remote location. 2022 IEEE. Creator An entity primarily responsible for making the resource Ramamurthy B.; Prasanna M. Source A related resource from which the described resource is derived 2022 2nd International Conference on Advances in Electrical, Computing, Communication and Sustainable Technologies, ICAECT 2022 Publisher An entity responsible for making the resource available Institute of Electrical and Electronics Engineers Inc. Date A point or period of time associated with an event in the lifecycle of the resource 2022-01-01 Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.1109/ICAECT54875.2022.9807970" target="_blank" rel="noreferrer noopener">https://doi.org/10.1109/ICAECT54875.2022.9807970</a> <a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85134201353&doi=10.1109%2FICAECT54875.2022.9807970&partnerID=40&md5=8b2e883ef40c6e14dde6b97d32053949" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85134201353&doi=10.1109%2fICAECT54875.2022.9807970&partnerID=40&md5=8b2e883ef40c6e14dde6b97d32053949</a> Rights Information about rights held in and over the resource Restricted Access Relation A related resource ISBN: 978-166541120-2 Format The file format, physical medium, or dimensions of the resource Online Language A language of the resource English Type The nature or genre of the resource Conference paper Coverage The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant Ramamurthy B., CHRIST(Deemed to Be University), Computer Science Department, Karnataka, Bangalore, India; Prasanna M., SITE, Vit, Tamil Nadu, Vellore, India Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Articles Article Faculty Publications -Articles Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource High gain ultra wideband fractal antenna Subject The topic of the resource Frequency Selective Surfaces; Gain Enhancement; HFSS; Metasurface Reflectors; UWB Antenna Description An account of the resource A high gain Compact Octagonal Ultra-wideband Fractal Antenna (COUFA) using the Dual Layer Meta Frequency Selective Surface Reflector (DLMFSSR) is presented in this manuscript. The proposed Frequency Selective Surface (FSS) provides a suitable reflection phase to act as a reflector and is capable of enhancing the gain of the antenna in its wide operating bandwidth. The proposed antenna design provides better impedance bandwidth of 2-10.37 GHz with significant increase in the gain of 0.41-11.83 dB at various resonance frequencies in comparison with the antenna without reflector. The complete antenna with DLMFSSR is designed and simulated using High Frequency Structure Simulator (HFSS). The Proposed antenna, FSS are fabricated and the numerical results for return loss S11, VSWR and gain are demonstrated. Simulation and fabrication results are found to be worthy, which suites the design malleable enough for several modern UWB wireless applications. Copyright 2019 American Scientific Publishers All rights reserved. Creator An entity primarily responsible for making the resource Ramamurthy V.; Govindarajan Y. Source A related resource from which the described resource is derived Journal of Computational and Theoretical Nanoscience, Vol-16, No. 4, pp. 1597-1601. Publisher An entity responsible for making the resource available American Scientific Publishers Date A point or period of time associated with an event in the lifecycle of the resource 2019-01-01 Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.1166/jctn.2019.8082" target="_blank" rel="noreferrer noopener">https://doi.org/10.1166/jctn.2019.8082</a> <a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85067062695&doi=10.1166%2Fjctn.2019.8082&partnerID=40&md5=a9cfde6c66d2c36e90119c1a152777ea" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85067062695&doi=10.1166%2fjctn.2019.8082&partnerID=40&md5=a9cfde6c66d2c36e90119c1a152777ea</a> Rights Information about rights held in and over the resource Restricted Access Relation A related resource ISSN: 15461955 Format The file format, physical medium, or dimensions of the resource Online Language A language of the resource English Type The nature or genre of the resource Article Coverage The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant Ramamurthy V., Department of Electronics and Communication Engineering, Christ University, Bangalore, 560074, India; Govindarajan Y., Department of Electronics and Communication Engineering, Annamalai University, Chidambaram, 608002, India Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Articles Article Faculty Publications -Articles Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Mutual Information Pre-processing Based Broken-stick Linear Regression Technique for Web User Behaviour Pattern Mining Subject The topic of the resource Broken-stick linear regression analysis; Frequent access; Mutual information based pre-processing; Usage behaviour; Web patterns; Web user. Description An account of the resource Web usage behaviour mining is a substantial research problem to be resolved as it identifies different user's behaviour pattern by analysing web log files. But, accuracy of finding the usage behaviour of users frequently accessed web patterns was limited and also it requires more time. Mutual Information Pre-processing based Broken-Stick Linear Regression (MIP-BSLR) technique is proposed for refining the performance of web user behaviour pattern mining with higher accuracy. Initially, web log files from Apache web log dataset and NASA dataset are considered as input. Then, Mutual Information based Pre-processing (MI-P) method is applied to compute mutual dependence between the two web patterns. Based on the computed value, web access patterns which relevant are taken for further processing and irrelevant patterns are removed. After that, Broken-Stick Linear Regression analysis (BLRA) is performed in MIP-BSLR for Web User Behaviour analysis. By applying the BLRA, the frequently visited web patterns are identified. With the identification of frequently visited web patterns, MIP-BSLR technique exactly predicts the usage behaviour of web users, and also increases the performance of web usage behaviour mining. Experimental evaluation of MIP-BSLR method is conducted on factors such as pattern mining accuracy, false positives, time requirements and space requirements with respect to number of web patterns. Outcomes show that the proposed technique improves the pattern mining accuracy by 14%, and reduces the false positive rate by 52%, time requirement by 19% and space complexity by 21% using Apache web log dataset as compared to conventional methods. Similarly, the pattern mining accuracy of NASA dataset is increased by 16% with the reduction of false positive rate by 47%, time requirement by 20% and space complexity by 22% as compared to conventional methods. 2020. All Rights Reserved. Creator An entity primarily responsible for making the resource Raman G.; Raj G.K. Source A related resource from which the described resource is derived International Journal of Intelligent Engineering and Systems, Vol-14, No. 1, pp. 244-256. Publisher An entity responsible for making the resource available Intelligent Network and Systems Society Date A point or period of time associated with an event in the lifecycle of the resource 2021-01-01 Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.22266/IJIES2021.0228.24" target="_blank" rel="noreferrer noopener">https://doi.org/10.22266/IJIES2021.0228.24</a> <a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85099564117&doi=10.22266%2FIJIES2021.0228.24&partnerID=40&md5=58be3865df9371db9349ce708ee1518d" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85099564117&doi=10.22266%2fIJIES2021.0228.24&partnerID=40&md5=58be3865df9371db9349ce708ee1518d</a> Rights Information about rights held in and over the resource All Open Access; Bronze Open Access Relation A related resource ISSN: 2185310X Format The file format, physical medium, or dimensions of the resource Online Language A language of the resource English Type The nature or genre of the resource Article Coverage The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant Raman G., Department of Computer Science and Engineering, School of Engineering and Technology, CHRIST (Deemed to be University), Bangalore, 560074, India; Raj G.K., Department of Computer Science and Engineering, School of Engineering and Technology, CHRIST (Deemed to be University), Bangalore, 560074, India Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Articles Article Faculty Publications -Articles Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Co-sputtered V2O5TiN composite on Ag-network current collector for high-performance flexible transparent thin-film supercapacitors Subject The topic of the resource Silver; Specific capacitance; Sputtering; Supercapacitor; TiN; V2O5 Description An account of the resource Next-generation wearables require extremely capable electrochemical energy-storage devices that exhibit improved performance with high flexibility and transparency. Herein, we present a highly flexible and transparent electrochemical thin-film supercapacitor electrode fabricated by co-sputtering V2O5 and TiN on an Ag-network-based current collector. The electrodes' physical properties, optical properties, and structural morphologies are studied using X-ray diffraction, UVvisible spectroscopy, and scanning electron microscopy, respectively. A symmetric device is fabricated using V2O5 and TiN on an Ag network, and the TiN sputter power is varied to optimize the performance. The device performance of the co-sputtered electrodes at various composition ratios is studied. The optimized V2O5TiN (200?40)/Ag electrode device with pseudocapacitive behavior delivers an excellent areal specific capacitance of 98.66 mF cm2 at a current density of 4 mA cm2 with a charge retention of 90.12 % after 6000 cycles. The V2O5TiN (200?40)/Ag electrode device outperforms other reported electrodes, with an energy density and power density of 30.83 ?Wh cm2 and 2999.67 ?W cm2, respectively, and excellent mechanical stability. 2023 Creator An entity primarily responsible for making the resource Raman V.; Clament Sagaya Selvam N.; Mitta S.B.; Kim H.-K. Source A related resource from which the described resource is derived Journal of Alloys and Compounds, Vol-971 Publisher An entity responsible for making the resource available Elsevier Ltd Date A point or period of time associated with an event in the lifecycle of the resource 2024-01-01 Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.1016/j.jallcom.2023.172450" target="_blank" rel="noreferrer noopener">https://doi.org/10.1016/j.jallcom.2023.172450</a> <a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85176567057&doi=10.1016%2Fj.jallcom.2023.172450&partnerID=40&md5=63180b1fb8a658d4bc18d39232be2dd0" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85176567057&doi=10.1016%2fj.jallcom.2023.172450&partnerID=40&md5=63180b1fb8a658d4bc18d39232be2dd0</a> Rights Information about rights held in and over the resource Restricted Access Relation A related resource ISSN: 9258388; CODEN: JALCE Format The file format, physical medium, or dimensions of the resource Online Language A language of the resource English Type The nature or genre of the resource Article Coverage The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant Raman V., School of Advanced Materials Science and Engineering, Sungkyunkwan University, Gyeonggi-do, Suwon, 16419, South Korea; Clament Sagaya Selvam N., Department of Chemistry, CHRIST University, Bangalore, 560029, India; Mitta S.B., Advanced Institute of Nano-Technology (SAINT), Sungkyunkwan University, Gyeonggi-do, Suwon, 16419, South Korea; Kim H.-K., School of Advanced Materials Science and Engineering, Sungkyunkwan University, Gyeonggi-do, Suwon, 16419, South Korea Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Faculty Publications Book Chapter Faculty Publications- Book Chapter Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Creator An entity primarily responsible for making the resource Raman, Manju Shree; Koppa, Krishna B.; Chithambar Gupta, V.; Bhat, Vinayak Anil; Guru Basava Aradhya, S.; Selvakumar, P. Title A name given to the resource Digital transformation and sustainability artificial intelligence and sustainable development Date A point or period of time associated with an event in the lifecycle of the resource 01-01-2025 Source A related resource from which the described resource is derived Effects of Digitalization and Circular Economy on Sustainable Policy and Climate Change Prevention;pp.69-96 Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.4018/979-8-3693-9909-5.ch003" target="_blank" rel="noreferrer noopener">https://doi.org/10.4018/979-8-3693-9909-5.ch003</a> <a href="https://www.scopus.com/pages/publications/105011447560?origin=resultslist" target="_blank" rel="noreferrer noopener">https://www.scopus.com/pages/publications/105011447560?origin=resultslist</a> Coverage The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant Raman M.S., Christ University, India; Koppa K.B., CMS-B School, Jain University (Deemed), India; Chithambar Gupta V., Presidency University, India; Bhat V.A., CMS-B School, Jain University (Deemed), India; Guru Basava Aradhya S., Chandigarh Group of Colleges, Jhanjeri, India; Selvakumar P., Department of Science and Humanities, Nehru Institute of Technology, Coimbatore, India Description An account of the resource Digital transformation and sustainability are increasingly intertwined in today's rapidly evolving landscape, where technological advancements and environmental concerns converge to shape the future of industries, communities, and societies. Operations, strategies and This transformation can enhance efficiency, improve customer experiences, and foster innovation. However, it also carries the responsibility of addressing the pressing sustainability social inequities. The relationship between digital transformation and sustainability is complex, yet synergistic. On one hand, blockchain-provides powerful tools for enhancing sustainability efforts across various sectors. For example, can consumption be smart while improving efficiencies reducing waste? Additionally, big data analytics can help organizations assess their environmental impact, enabling informed decision-making that supports sustainable practices. This data-driven approach allows companies to track their carbon footprints, manage resources more effectively, and identify areas for improvement. 2025, IGI Global Scientific Publishing. Publisher An entity responsible for making the resource available IGI Global Relation A related resource ISBN: 979-836939911-8; 979-836939909-5; Language A language of the resource English Type The nature or genre of the resource Book chapter Rights Information about rights held in and over the resource Restricted Access; Hardcopy may be available in the library Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Faculty Publications Conference Paper Faculty Publications- Conference Papers Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Creator An entity primarily responsible for making the resource Ramana, Nagella Venkata; Kumar, Mukesh; Vidyashree, D.V.; Chand Basha, S.; Pandey, Vivekanand; Kaliappan, S. Title A name given to the resource Financial Behaviour Analysis for Payment Bank Adoption Using Random Forest and PCA: An Indian Perspective Date A point or period of time associated with an event in the lifecycle of the resource 01-01-2025 Source A related resource from which the described resource is derived 2025 IEEE International Conference on Emerging Trends in Computing and Communication, ETCOM 2025; Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.1109/ETCOM66606.2025.11437052" target="_blank" rel="noreferrer noopener">https://doi.org/10.1109/ETCOM66606.2025.11437052</a> <a href="https://www.scopus.com/pages/publications/105037347042?origin=resultslist" target="_blank" rel="noreferrer noopener">https://www.scopus.com/pages/publications/105037347042?origin=resultslist</a> Coverage The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant Ramana N.V., Madanapalle Institute of Technology and Science Deemed to be University, Department of Management Studies, Andhra Pradesh, Madanapalle, India; Kumar M., Maharshi Markandeshwar Institute of Management, MMDU, Department of Management, Mullana, India; Vidyashree D.V., Christ University, Department of Commerce, Karnataka, Bengaluru, India; Chand Basha S., St. Ann's College of Engineering and Technology, Department of Business Administration, Andhra Pradesh, Chirala, India; Pandey V., Amity University Patna, Department of Management, Bihar, India; Kaliappan S., Lovely Professional University, Division of Research and Development, Punjab, Phagwara, India Description An account of the resource The gradual acceptance of payment banks in India constitutes an important challenge to equitable financial development, especially for underbanked rural communities. The proposed study handles the difficulty by examining financial behaviour through a hybrid machine learning methodology that integrates Principal Component Analysis (PCA) for dimensionality reduction with a Random Forest classifier for predictive modelling. The study utilises datasets obtained from Kaggle that reflect demographic, behavioural, and digital engagement variables. PCA preserves approximately 9 0% of variance while reducing feature complexity, allowing the Random Forest to effectively characterise adoption behaviour. In comparison to conventional classifiers such as Logistic Regression, SVM, and Decision Trees, the suggested model improved performance, attaining 96.7% accuracy, 95.8% precision, 97.1% recall, 96.4% F 1-score, and an AUC-ROC of 0.982. The findings exceed all chosen baselines, demonstrating the system's resilience and reliability. The approach provides behavioural insights essential for policy formulation and strategic engagement by pinpointing the most significant adoption determinants. This research greatly advances the digital banking sector by integrating data science with social impact, providing a clear, high-performing solution to inform financial inclusion policies. It establishes a basis for the development of future real-time and personalised adoption prediction systems utilising advanced AI methodologies. 2025 IEEE. Subject The topic of the resource Behavioural Prediction; Digital Access; Digital Trust; Dimensionality Reduction; Ensemble Classifiers; Financial Behaviour Analysis; Financial Inclusion; Indian Banking; Machine Learning; Mobile Banking; Payment Bank Adoption; PCA; Principal Components; Random Forest Publisher An entity responsible for making the resource available Institute of Electrical and Electronics Engineers Inc. Relation A related resource ISBN: 979-833158508-2; Language A language of the resource English Type The nature or genre of the resource Conference paper Rights Information about rights held in and over the resource Restricted Access; Hardcopy may be available in the library Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Articles Article Faculty Publications -Articles Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Statistical features learning to predict the crop yield in regional areas Subject The topic of the resource Classification; Clustering; Computer science; Machine learning; Statistical features Description An account of the resource The plethora of information presented in the form of benchmark dataset plays a significant role in analyzing and understanding the crop yield in certain regions of regional territory. The information may be presented in the form of attributes makes a prediction of crop yield in various regions of machine learning. The information considered for processing involves data cleaning initially followed by binning to reduce the missing data. The information collected is subjected to clustering of data items based on patterns of similarity, The data items that are similar in nature is fed to the system with similarity measure, which involves understanding the distance of data items from its related data item leading to hyper parameters for analyzing of information while calculating the crop yield. The information may be used to ascertain the patterns of data that exhibit similarity with nearest neighbor represented by another attribute. Thus, the research method has yielded an accuracy of 89.62% of classification for predicting the crop yield in agricultural areas of Karnataka region. 2022 Institute of Advanced Engineering and Science. All rights reserved. Creator An entity primarily responsible for making the resource Ramanahalli P.P.; Siddamallu H.K.; Basavaraju R.K.Y. Source A related resource from which the described resource is derived International Journal of Electrical and Computer Engineering, Vol-12, No. 5, pp. 5321-5329. Publisher An entity responsible for making the resource available Institute of Advanced Engineering and Science Date A point or period of time associated with an event in the lifecycle of the resource 2022-01-01 Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.11591/ijece.v12i5.pp5321-5329" target="_blank" rel="noreferrer noopener">https://doi.org/10.11591/ijece.v12i5.pp5321-5329</a> <a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85135259782&doi=10.11591%2Fijece.v12i5.pp5321-5329&partnerID=40&md5=c921de52d50fb0823a25bfdda33c122e" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85135259782&doi=10.11591%2fijece.v12i5.pp5321-5329&partnerID=40&md5=c921de52d50fb0823a25bfdda33c122e</a> Rights Information about rights held in and over the resource All Open Access; Gold Open Access; Green Open Access Relation A related resource ISSN: 20888708 Format The file format, physical medium, or dimensions of the resource Online Language A language of the resource English Type The nature or genre of the resource Article Coverage The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant Ramanahalli P.P., School and Computer Science and Applications, REVA University, Bangalore, India; Siddamallu H.K., School of Computer Science and Applications, REVA University, Bangalore, India; Basavaraju R.K.Y., Department of Computer Science and Engineering, Christ (Deemed to be University), Bangalore, India Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Articles Article Faculty Publications -Articles Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource On families of graphs which are both adjacency equienergetic and distance equienergetic Subject The topic of the resource 05C50; 05C76; Distance energy; Distance equienergetic graphs; Equienergetic graphs; Graph energy Description An account of the resource Let A(G) and D(G) be the adjacency and distance matrices of a graph G respectively. The adjacency energy or A-energy EA(G) of a graph G is defined as the sum of the absolute values of the eigenvalues of A(G). Analogously, the D-energy ED(G) is defined to be the sum of the absolute values of the eigenvalues of D(G). One of the interesting problems on graph energy is to characterize those graphs which are equienergetic with respect to both the adjacency and distance matrices. A weaker problem is to construct the families of graphs which are equienergetic with respect to both the adjacency and distance matrices. In this paper, we find the explicit relations between A-energy and D-energy of certain families of graphs. As a consequence, we provide an answer to the above open problem (Indulal in https://icgc2020.wordpress.com/invitedlectures, 2020; http://www.facweb.iitkgp.ac.in/rkannan/gma.html, 2020) The Indian National Science Academy 2022. Creator An entity primarily responsible for making the resource Ramane H.S.; Parvathalu B.; Ashoka K.; Pirzada S. Source A related resource from which the described resource is derived Indian Journal of Pure and Applied Mathematics, Vol-55, No. 1, pp. 198-209. Publisher An entity responsible for making the resource available Indian National Science Academy Date A point or period of time associated with an event in the lifecycle of the resource 2024-01-01 Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.1007/s13226-022-00355-1" target="_blank" rel="noreferrer noopener">https://doi.org/10.1007/s13226-022-00355-1</a> <a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85143701097&doi=10.1007%2Fs13226-022-00355-1&partnerID=40&md5=7c0a408480b326b1f4ad06c806c44217" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85143701097&doi=10.1007%2fs13226-022-00355-1&partnerID=40&md5=7c0a408480b326b1f4ad06c806c44217</a> Rights Information about rights held in and over the resource Restricted Access Relation A related resource ISSN: 195588 Format The file format, physical medium, or dimensions of the resource Online Language A language of the resource English Type The nature or genre of the resource Article Coverage The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant Ramane H.S., Department of Mathematics, Karnatak University, Karnataka, Dharwad, 580003, India; Parvathalu B., Department of Mathematics, Christ University, Karnataka, Bangalore, 560029, India; Ashoka K., Department of Mathematics, Karnatak Universitys Karnatak Arts College, Karnataka, Dharwad, 580001, India; Pirzada S., Department of Mathematics, University of Kashmir, Kashmir, Srinagar, 190006, India Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Faculty Publications Article Faculty Publications -Articles Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Creator An entity primarily responsible for making the resource Ramane, H.S.; Parvathalu, B.; Ashoka, K.; Patil, D. Title A name given to the resource ITERATED LINE GRAPHS WITH ONLY NEGATIVE EIGENVALUES ?2, THEIR COMPLEMENTS AND ENERGY Date A point or period of time associated with an event in the lifecycle of the resource 01-01-2025 Source A related resource from which the described resource is derived Palestine Journal of Mathematics;Volume;14;Issue;3;pp.926-939 Identifier An unambiguous reference to the resource within a given context <a href="https://www.scopus.com/pages/publications/105022652561?origin=resultslist" target="_blank" rel="noreferrer noopener">https://www.scopus.com/pages/publications/105022652561?origin=resultslist</a> Coverage The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant Ramane H.S., Department of Mathematics, Karnatak University, Karnataka, Dharwad, 580003, India; Parvathalu B., Department of Mathematics, Karnatak Universitys Karnatak Arts/Science College, Karnataka, Dharwad, 580001, India; Ashoka K., Department of Mathematics, Christ University, Karnataka, Bangalore, 560029, India; Patil D., Department of Mathematics, SSPO GFGC, Karnataka, Muddebihal, 586212, India Description An account of the resource In this article, several iterated line graphs Lk (G) with all equal negative eigenvalues ?2 are characterized for k ? 1 and their energy consequences are presented. Also the spectra and the energy of complement of these graphs are obtained, interestingly they have exactly two positive eigenvalues with different multiplicities. Moreover, we characterize a large class of equienergetic graphs which extend some of the existing results. Palestine Polytechnic University-PPU 2025. Subject The topic of the resource Complement of a graph; Eigenvalues of graphs; Energy of a graph; Equitable partition; Iterated line graphs Publisher An entity responsible for making the resource available Palestine Polytechnic University Relation A related resource ISSN: 22195688; Language A language of the resource English Type The nature or genre of the resource Article Rights Information about rights held in and over the resource Restricted Access; Hardcopy may be available in the library Format The file format, physical medium, or dimensions of the resource online Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Articles Article Faculty Publications -Articles Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource AIFMS Autonomous Intelligent Fall Monitoring System for the Elderly Persons Subject The topic of the resource Drugs; Fall Detection; Medication; Night Vision; Nocturia; Retro-Reflective Stickers Description An account of the resource Falls are the major cause of injuries and death of elders who live alone at home. Various research works have provided the best solution to the fall detection approach during the day. However, falls occur more at night due to many factors such as low or zero lighting conditions, intake of medication/drugs, frequent urination due to nocturia disease, and slippery restroom. Based on the required factors, an autonomous monitoring system based on night condition has been proposed through retro-reflective stickers pasted on their upper cloth and infrared cameras installed in the living environment of elders. The developed system uses features such as changes in orientation angle and distance between the retro-reflective stickers to identify the human shape and its characteristics for fall identification. Experimental analysis has also been performed on various events of fall and non-fall activities during the night exclusively in the living environment of the elder, and the system achieves an accuracy of 96.2% and fall detection rate of 92.9%. Copyright 2022, IGI Global. Creator An entity primarily responsible for making the resource Ramanujam E.; Perumal T. Source A related resource from which the described resource is derived International Journal of Ambient Computing and Intelligence, Vol-13, No. 1 Publisher An entity responsible for making the resource available IGI Global Date A point or period of time associated with an event in the lifecycle of the resource 2022-01-01 Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.4018/IJACI.304727" target="_blank" rel="noreferrer noopener">https://doi.org/10.4018/IJACI.304727</a> <a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85151788420&doi=10.4018%2FIJACI.304727&partnerID=40&md5=7a3599040130307943dc977669533ea9" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85151788420&doi=10.4018%2fIJACI.304727&partnerID=40&md5=7a3599040130307943dc977669533ea9</a> Rights Information about rights held in and over the resource Restricted Access Relation A related resource ISSN: 19416237 Format The file format, physical medium, or dimensions of the resource Online Language A language of the resource English Type The nature or genre of the resource Article Coverage The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant Ramanujam E., School of Engineering and Technology, Christ University, Deemed, India; Perumal T., Universiti Putra Malaysia, Malaysia Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Conference Papers Conference Paper Faculty Publications- Conference Papers Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource A Review on Artificial Intelligence Techniques for Multilingual SMS Spam Detection Subject The topic of the resource Deep learning; Ham; Machine learning; NLP; Phishing; Smishing; SMS; Spam; Spam detection Description An account of the resource With social networks increased popularity and smartphone technology advancements, Facebook, Twitter, and short text messaging services (SMS) have gained popularity. The availability of these low cost text-based communication services has implicitly increased the intrusion of spam messages. These spam messages have started emerging as an important issue, especially to short-duration mobile users such as aged persons, children, and other less skilled users of mobile phones. Unknowingly or mistakenly clicking the hyperlinks in spam messages or subscribing to advertisements puts them under threat of debiting their money from either the bank account or the balance of the network subscriber. Different approaches have been attempted to detect spam messages in the last decade. Many mobile applications have also evolved for spam detection in English, but still, there is a lack of performance. As English has been completely covered under natural language processing, other regional languages, such as Urdu and Hindi variants, have specific issues detecting spam messages. Mobile users suffer greatly from these issues, especially in multilingual countries like India. Thus, this paper critically reviews the artificial intelligence-based spam detection system. The review lists out the existing systems that use machine and deep learning techniques with their limitations, merits, and demerits. In addition, this paper covers the scope for future enhancements in natural language processing to efficiently prevent spam messages rather than detect spam messages. The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2024. Creator An entity primarily responsible for making the resource Ramanujam E.; Shankar K.; Sharma A. Source A related resource from which the described resource is derived Lecture Notes in Electrical Engineering, Vol-1087, pp. 525-536. Publisher An entity responsible for making the resource available Springer Science and Business Media Deutschland GmbH Date A point or period of time associated with an event in the lifecycle of the resource 2024-01-01 Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.1007/978-981-99-6690-5_40" target="_blank" rel="noreferrer noopener">https://doi.org/10.1007/978-981-99-6690-5_40</a> <a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85184126718&doi=10.1007%2F978-981-99-6690-5_40&partnerID=40&md5=9198e0130c57f870011c868962fd9f9e" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85184126718&doi=10.1007%2f978-981-99-6690-5_40&partnerID=40&md5=9198e0130c57f870011c868962fd9f9e</a> Rights Information about rights held in and over the resource Restricted Access Relation A related resource ISSN: 18761100; ISBN: 978-981996689-9 Format The file format, physical medium, or dimensions of the resource Online Language A language of the resource English Type The nature or genre of the resource Conference paper Coverage The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant Ramanujam E., Computer Science and Engineering, National Institute of Technology Silchar, Assam, Silchar, 788010, India; Shankar K., Electronics and Instrumentation Engineering, National Institute of Technology Silchar, Assam, Silchar, 788010, India; Sharma A., Department of Computer Science and Engineering, Christ (Deemed to be) University, Bengaluru, India Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Conference Papers Conference Paper Faculty Publications- Conference Papers Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Multi-lingual Spam SMS detection using a hybrid deep learning technique Subject The topic of the resource deep learning; ham; machine learning; smishing; spam; Spam detection Description An account of the resource Nowadays, the incremental usage of mobile phones has made spam SMS messages a big concern. Sending malicious links through spam messages harms our mobile devices physically, and the attacker might have a chance to steal sensitive information from our devices. Various state-of-the-art research works have been proposed for SMS spam detection using feature-based, machine, and deep learning techniques. These approaches have specific limitations, such as extracting and selecting signifi-cant and quality features for efficient classification. Very few deep learning techniques are only used for classifying spam detection. Moreover, the benchmark spam datasets written in English are mostly used for evaluation. Very few papers have detected spam messages for other languages. Hence, this paper creates a multilingual SMS spam dataset and proposes a hybrid deep learning technique that combines the Convolutional Neural Network and Long Short-Term Memory (LSTM) model to classify the message dataset. The performance of this proposed hybrid model has been compared with the baseline deep learning models using accuracy, precision, recall, and F1-score metrics. 2022 IEEE. Creator An entity primarily responsible for making the resource Ramanujam E.; Shankar K.; Sharma A. Source A related resource from which the described resource is derived Proceedings - 2022 IEEE Silchar Subsection Conference, SILCON 2022 Publisher An entity responsible for making the resource available Institute of Electrical and Electronics Engineers Inc. Date A point or period of time associated with an event in the lifecycle of the resource 2022-01-01 Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.1109/SILCON55242.2022.10028936" target="_blank" rel="noreferrer noopener">https://doi.org/10.1109/SILCON55242.2022.10028936</a> <a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85147854946&doi=10.1109%2FSILCON55242.2022.10028936&partnerID=40&md5=ec29cdc2d6e81114e170bd9792238392" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85147854946&doi=10.1109%2fSILCON55242.2022.10028936&partnerID=40&md5=ec29cdc2d6e81114e170bd9792238392</a> Rights Information about rights held in and over the resource Restricted Access Relation A related resource ISBN: 978-166547100-8 Format The file format, physical medium, or dimensions of the resource Online Language A language of the resource English Type The nature or genre of the resource Conference paper Coverage The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant Ramanujam E., National Institute of Technology Silchar, Computer Science and Engineering, Assam, India; Shankar K., National Institute of Technology Silchar, Electronics and Instrumentation Engineering, Assam, India; Sharma A., Computer Science and Engineering, Christ (Deemed to Be) University, Bangalore, India Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Conference Papers Conference Paper Faculty Publications- Conference Papers Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Improving Indoor occupancy estimation using a hybrid CNN-LSTM approach Subject The topic of the resource air quality; CNN; Deep learning; IAQ; LSTM; occupancy estimation Description An account of the resource Indoor Air Quality (IAQ) monitoring has been a significant research domain in energy conservation. Many energy resources are required to maintain the IAQ using airconditioning or other ventilation systems. Currently, the research works highly optimize an on-demand driven energy usage depending on the occupant present inside the building. In the last decade, numerous research works have evolved for such an optimization by installing sensors and predicting occupants using machine learning techniques. This research fails to deploy non-intrusive sensors and appropriate machine learning algorithms to predict the occupancy count. Advancement in neural network techniques termed deep learning has made significant performance in recognition and cognitive tasks. Thus, this paper proposes a hybrid deep learning model that stacks the convolutional neural network (CNN) and long short term memory (LSTM) to improve the prediction rate of the occupancy count. Experimentation has been carried out in real-time multivariate sensor data for the occupancy estimation and evaluated the performance in terms of accuracy, RMSE, MAPE, and coefficients of determinants. 2022 IEEE. Creator An entity primarily responsible for making the resource Ramanujam E.; Sharma A.; Hussian J.J.; Perumal T. Source A related resource from which the described resource is derived 2022 International Conference on Intelligent Controller and Computing for Smart Power, ICICCSP 2022 Publisher An entity responsible for making the resource available Institute of Electrical and Electronics Engineers Inc. Date A point or period of time associated with an event in the lifecycle of the resource 2022-01-01 Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.1109/ICICCSP53532.2022.9862328" target="_blank" rel="noreferrer noopener">https://doi.org/10.1109/ICICCSP53532.2022.9862328</a> <a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85137793534&doi=10.1109%2FICICCSP53532.2022.9862328&partnerID=40&md5=d9cdf155a7d0cf48064875c460483e6b" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85137793534&doi=10.1109%2fICICCSP53532.2022.9862328&partnerID=40&md5=d9cdf155a7d0cf48064875c460483e6b</a> Rights Information about rights held in and over the resource Restricted Access Relation A related resource ISBN: 978-166547258-6 Format The file format, physical medium, or dimensions of the resource Online Language A language of the resource English Type The nature or genre of the resource Conference paper Coverage The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant Ramanujam E., School of Engineering and Technology, Christ (Deemed to Be) University, Department of Computer Science and Engineering, Bengaluru, India; Sharma A., School of Engineering and Technology, Christ (Deemed to Be) University, Department of Computer Science and Engineering, Bengaluru, India; Hussian J.J., School of Engineering and Technology, Christ (Deemed to Be) University, Department of Computer Science and Engineering, Bengaluru, India; Perumal T., Universiti Putra, Department of Computer Science, Serdany, Selangor, Malaysia Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Faculty Publications Conference Paper Faculty Publications- Conference Papers Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Creator An entity primarily responsible for making the resource Ramar, Gobinath; Sivasakthivel, Ramkumar; Stephen, R.; Balan, R.V. Siva; Sahu, Mayank Title A name given to the resource Modern Approaches for Automatic Question Paper Generator Date A point or period of time associated with an event in the lifecycle of the resource 01-01-2025 Source A related resource from which the described resource is derived 2025 International Conference on Computing Technologies and Data Communication, ICCTDC 2025; Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.1109/ICCTDC64446.2025.11158798" target="_blank" rel="noreferrer noopener">https://doi.org/10.1109/ICCTDC64446.2025.11158798</a> <a href="https://www.scopus.com/pages/publications/105019050810?origin=resultslist" target="_blank" rel="noreferrer noopener">https://www.scopus.com/pages/publications/105019050810?origin=resultslist</a> Coverage The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant Ramar G., Christ University, Karnataka, Bangalore, India; Sivasakthivel R., Christ University, Karnataka, Bangalore, India; Stephen R., Christ University, Karnataka, Bangalore, India; Balan R.V.S., Christ University, Karnataka, Bangalore, India; Sahu M., Christ University, Karnataka, Bangalore, India Description An account of the resource The Automatic question paper generation system in the educational field can be useful in improving the quality of question paper, distribution and evaluation process. The system can be used for maintaining the quality of the questions with higher accuracy and less error rate compared with other existing systems at a lower cost. This article gives a comprehensive literature survey of modern approaches followed in automatic question generation (AQPG) systems and categorizing the approaches used for the question paper generation process. The techniques such as rule-based, encoder-decoder based, generative adversarial network (GAN)-based, reinforcement learning-based, and transformer-based approaches are discussed in the paper and evaluated using standard metrics. The article presents insights into the strengths and limitations of each approach through the systematic comparison and analysis of multiple studies using BLEU-4, ROUGE-L, and METEOR metrics on the SQuAD dataset. The research finding of the article gives a better opportunity to the researcher and educators to improve the knowledge about automated question paper generator systems as well as the challenges incorporated during the implementation process of question paper generation. This article also gives a depiction of AI enabled solution in automated question paper generator. 2025 IEEE. Subject The topic of the resource BLEU-4; Generative Adversarial Network; METEOR; Reinforcement Learning; ROUGE-L; SQuAD Publisher An entity responsible for making the resource available Institute of Electrical and Electronics Engineers Inc. Relation A related resource ISBN: 979-833152798-3; Language A language of the resource English Type The nature or genre of the resource Conference paper Rights Information about rights held in and over the resource Restricted Access; Hardcopy may be available in the library Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Conference Papers Conference Paper Faculty Publications- Conference Papers Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource An Interrogation of Android Application-Based Privilege Escalation Attacks Subject The topic of the resource Android application; Application Security; Mobile Platform Security; Operating System Description An account of the resource Android is among the most widely used operating systems among consumers. The standard security model must address several dangers while still being usable by non-security users due to the wide range of use cases, including access to cameras and microphones and use cases for sharing information, entertainment, business, and health. The Android operating system has taken smartphone technology to peoples front doors. Thanks to recent technological developments, people from all walks of life can now access it. However, the popularity of the Android platform has exacerbated the growth of cybercrime via mobile devices. The open-source nature of its operating system has made it a target for hackers. This research paper examines the comparative study of the Android Security domain in-depth, classifying the attacks on the Android device. The study covers various threats and security measures linked to these kinds and thoroughly examines the fundamental problems in the Android security field. This work compares and contrasts several malware detection techniques regarding their methods and constraints. Researchers will utilize the information to comprehensively understand Android security from various perspectives, enabling them to develop a more complete, trustworthy, and beneficial response to Androids vulnerabilities. 2023 American Institute of Physics Inc.. All rights reserved. Creator An entity primarily responsible for making the resource Ramasamy G.; Arulkumar N.; Rajan A.P.; Rohini V. Source A related resource from which the described resource is derived AIP Conference Proceedings, Vol-2909, No. 1 Publisher An entity responsible for making the resource available American Institute of Physics Inc. Date A point or period of time associated with an event in the lifecycle of the resource 2023-01-01 Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.1063/5.0182955" target="_blank" rel="noreferrer noopener">https://doi.org/10.1063/5.0182955</a> <a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85179874529&doi=10.1063%2F5.0182955&partnerID=40&md5=e1c3b709e46fab8dd69c21ccb413208c" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85179874529&doi=10.1063%2f5.0182955&partnerID=40&md5=e1c3b709e46fab8dd69c21ccb413208c</a> Rights Information about rights held in and over the resource Restricted Access Relation A related resource ISSN: 0094243X; ISBN: 978-073544750-9 Format The file format, physical medium, or dimensions of the resource Online Language A language of the resource English Type The nature or genre of the resource Conference paper Coverage The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant Ramasamy G., Department of Computer Science, CHRIST (Deemed to be University), Bangalore, India; Arulkumar N., Department of Statistics and Data Science, CHRIST (Deemed to be University), Bangalore, India; Rajan A.P., Department of Computer Science, CHRIST (Deemed to be University), Bangalore, India; Rohini V., Department of Computer Science, CHRIST (Deemed to be University), Bangalore, India