386 20 11858 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 Multi-Criteria Usability Evaluation of mHealth Applications on Type 2 Diabetes Mellitus Using Two Hybrid MCDM Models: CODAS-FAHP and MOORA-FAHP Subject The topic of the resource CODAS; FAHP; MOORA; T2DM mHealth applications; usability; usability score Description An account of the resource People use mHealth applications to help manage and keep track of their health conditions more effectively. With the increase of mHealth applications, it has become more difficult to choose the best applications that are user-friendly and provide user satisfaction. The best techniques for any decision-making challenge are multi-criteria decision-making (MCDM) methodologies. However, traditional MCDM methods cannot provide accurate results in complex situations. Currently, researchers are focusing on the use of hybrid MCDM methods to provide accurate decisions for complex problems. Thus, the authors in this paper proposed two hybrid MCDM methods, CODAS-FAHP and MOORA-FAHP, to assess the usability of the five most familiar mHealth applications that focus on type 2 diabetes mellitus (T2DM), based on ten criteria. The fuzzy Analytic Hierarchy Process (FAHP) is applied for efficient weight estimation by removing the vagueness and ambiguity of expert judgment. The CODAS and MOORA MCDM methods are used to rank the mHealth applications, depending on the usability parameter, and to select the best application. The resulting analysis shows that the ranking from both hybrid models is sufficiently consistent. To assess the proposed frameworks stability and validity, a sensitivity analysis was performed. It showed that the result is consistent with the proposed hybrid model. 2022 by the authors. Licensee MDPI, Basel, Switzerland. Creator An entity primarily responsible for making the resource Gupta K.; Roy S.; Poonia R.C.; Kumar R.; Nayak S.R.; Altameem A.; Saudagar A.K.J. Source A related resource from which the described resource is derived Applied Sciences (Switzerland), Vol-12, No. 9 Publisher An entity responsible for making the resource available MDPI 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/10.3390/app12094156" target="_blank" rel="noreferrer noopener">https://doi.org/10.3390/app12094156</a> <a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85129311119&doi=10.3390%2Fapp12094156&partnerID=40&md5=1b0282689918c9156d7a85df6669d18c" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85129311119&doi=10.3390%2fapp12094156&partnerID=40&md5=1b0282689918c9156d7a85df6669d18c</a> Rights Information about rights held in and over the resource All Open Access; Gold Open Access Relation A related resource ISSN: 20763417 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 Gupta K., Faculty of Computing and Information Technology, Usha Martin University, Ranchi, 835103, India; Roy S., Faculty of Computing and Information Technology, Usha Martin University, Ranchi, 835103, India; Poonia R.C., Department of Computer Science, CHRIST (Deemed to be University), Bangalore, 560029, India; Kumar R., Department of Computer Science and Engineering, GIET University, Rayagada, 765022, India; Nayak S.R., Amity School of Engineering and Technology, Amity University Uttar Pradesh, Noida, 201303, India; Altameem A., Department of Computer Science and Engineering, College of Applied Studies and Community Services, King Saud University, Riyadh, 11533, Saudi Arabia; Saudagar A.K.J., Information Systems Department, Imam Mohammad Ibn Saud Islamic University (IMSIU), Riyadh, 11432, Saudi Arabia 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 Multi-dynamics and emission tailored fluoroperovskite-based down-conversion phosphors for enhancing the current density and stability of the perovskite solar cells Description An account of the resource State-of-the-art and innovative research is being intensively employed on perovskite solar cells (PSCs) to expand their frontiers further. This study is a successful attempt to drive the limit of photocurrent density (Jsc) beyond conventional PSCs (which typically utilize the visible spectrum alone) through a nonlinear optical phenomenon called down-conversion (DC). The use of DC luminescence to harness the UV region from the solar spectrum is explored by utilizing Eu3+ activated RbCaF3, a fluoroperovskite-based phosphor material. It is observed that PSCs, which used RbCaF3:Eu3+ incorporated TiO2 electron transport layer (ETL), enhanced their Jsc and UV stability compared to those with pristine TiO2-oriented ETL. Such improvement in the aforementioned devices is due to the result of converting high-energy UV photons to effectively absorbable low-energy visible photons for perovskite absorbers. Overall, the DC-aided PSC offered a substantial Jsc of 23.54 mA cm?2 (9.2% superior to the conventional PSC) and boosted its power conversion efficiency (PCE) from 11.2% to 13.3%. It is evident that DC-based PSCs show a much better shelf-life when compared to conventional PSCs. This unique approach for boosting the Jsc with enhanced stability can be utilized for the potential applications of PSCs. 2023 The Royal Society of Chemistry. Creator An entity primarily responsible for making the resource Kunka Ravindran A.; Ramesh J.K.; Narendhiran S.; Arumugam R.; Muthu S.P.; Perumalsamy R. Source A related resource from which the described resource is derived Sustainable Energy and Fuels, Vol-7, No. 9, pp. 2288-2300. Publisher An entity responsible for making the resource available Royal Society of Chemistry 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/10.1039/d3se00354j" target="_blank" rel="noreferrer noopener">https://doi.org/10.1039/d3se00354j</a> <a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85153087309&doi=10.1039%2Fd3se00354j&partnerID=40&md5=96680fb7e6e598501550b8994c968ce8" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85153087309&doi=10.1039%2fd3se00354j&partnerID=40&md5=96680fb7e6e598501550b8994c968ce8</a> Rights Information about rights held in and over the resource Restricted Access Relation A related resource ISSN: 23984902 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 Kunka Ravindran A., Department of Physics, SSN Research Centre, Sri Sivasubramaniya Nadar College of Engineering, Tamilnadu, Chennai, 603110, India; Ramesh J.K., Department of Physics, SSN Research Centre, Sri Sivasubramaniya Nadar College of Engineering, Tamilnadu, Chennai, 603110, India, Department of Physics, Materials Science Research Center, Indian Institute of Technology Madras, Tamilnadu, Chennai, 600036, India; Narendhiran S., Department of Physics, SSN Research Centre, Sri Sivasubramaniya Nadar College of Engineering, Tamilnadu, Chennai, 603110, India, Department of Physics and Electronics, Christ (Deemed to be University), Karnataka, Bangaluru, 560029, India; Arumugam R., CNR-SPIN, c/o University of Salerno, Fisciano, I-84084, Italy; Muthu S.P., Department of Physics, SSN Research Centre, Sri Sivasubramaniya Nadar College of Engineering, Tamilnadu, Chennai, 603110, India; Perumalsamy R., Department of Physics, SSN Research Centre, Sri Sivasubramaniya Nadar College of Engineering, Tamilnadu, Chennai, 603110, 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 Multi-frame twin-channel descriptor for person re-identification in real-time surveillance videos Subject The topic of the resource Cumulative matching curve; Multi-frame descriptor; Person re-identification; Video surveillance Description An account of the resource Automatic re-identification of people entering the camera network is an important and challenging task. Multiple frames of the same person will be easily available in surveillance videos for re-identification. Dealing with pose variations of the person in the image and partial occlusion issues is major challenge in single-frame re-identification process. The use of more frames from the surveillance videos can generate robust descriptor to tackle issues of pose variations and occlusion. In this paper, we have emphasized on using multiple frames from the same video to generate a multi-frame twin-channel descriptor. The work deals with building a spatial-temporal descriptor which takes advantage of the twin paths to extract features of the person image. Mahalanobis distance metric learning algorithms is used for matching and evaluation. Our descriptor is evaluated on two benchmark datasets and found to surpass the performance of the existing methods. 2017, Springer-Verlag London Ltd. Creator An entity primarily responsible for making the resource Sathish P.K.; Balaji S. Source A related resource from which the described resource is derived International Journal of Multimedia Information Retrieval, Vol-6, No. 4, pp. 289-294. Publisher An entity responsible for making the resource available Springer London Date A point or period of time associated with an event in the lifecycle of the resource 2017-01-01 Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.1007/s13735-017-0136-9" target="_blank" rel="noreferrer noopener">https://doi.org/10.1007/s13735-017-0136-9</a> <a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85031902888&doi=10.1007%2Fs13735-017-0136-9&partnerID=40&md5=7d5a8906a27a1df5815a26b922b88981" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85031902888&doi=10.1007%2fs13735-017-0136-9&partnerID=40&md5=7d5a8906a27a1df5815a26b922b88981</a> Rights Information about rights held in and over the resource Restricted Access Relation A related resource ISSN: 21926611 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 Sathish P.K., Department of Computer Science and Engineering, Christ University, Bengaluru, 560074, India; Balaji S., Centre for Incubation, Innovation, Research and Consultancy, Jyothi Institute of Technology, Bengaluru, India https://archives.christuniversity.in/files/original/56e2fb67046ee5322a729d35eefa2e7f.png ae8597b1fb62da5294ca14f6fc0ece85 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 Patents Subject The topic of the resource Patent Description An account of the resource Patent Patent Patents 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-functional rechargeable chalk dust collector with recycling unit / Subject The topic of the resource Chemistry Description An account of the resource Patent Number: 202041009633, Applicant: Pramod Kandoth Madathil. A detachable electronic chalk dust collector consisting of a control unit having dust collecting components, a dusting unit with alternative directional suction, inbuilt collection unit and sensors. An attachable recharging and recycling unit with di-suction unit and multifunctional ports and sensors. Creator An entity primarily responsible for making the resource K M, Pramod. Source A related resource from which the described resource is derived <a href="https://drive.google.com/file/d/1vKNARU1p08PmNZBqRtFdtwP_PcKksxua/view" target="_blank" title="Multi-functional rechargeable chalk dust collector with recycling unit /" rel="noreferrer noopener">https://drive.google.com/file/d/1vKNARU1p08PmNZBqRtFdtwP_PcKksxua/view</a> Publisher An entity responsible for making the resource available Intellectual Property India Date A point or period of time associated with an event in the lifecycle of the resource 2020-03-17 Language A language of the resource English Type The nature or genre of the resource Patent 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-Layer Ensemble Deep Reinforcement Learning based DDoS Attack Detection and Mitigation in Cloud-SDN Environment Subject The topic of the resource Cloud environment; DDoS attacks; Deep learning; Reinforcement learning; Software defined network Description An account of the resource Cloud computing (CC) remains as a promising environment which offers scalable and cost effectual computing facilities. The combination of the SDN technique with the CC platform simplifies the complexities of cloud networking and considerably enhances the scalability, manageability, programmability, and dynamism of the cloud. This study introduces a novel Multi-Layer Ensemble Deep Reinforcement Learning based DDoS Attack Detection and Mitigation (MEDR-DDoSAD) technique in Cloud-SDN Environment. The major aim of the presented technique lies in the recognition of DDoS attacks from the cloud-SDN platform. The MEDR-DDoSAD technique transforms the input data into images and the features are derived via deep convolutional neural network based Xception model. 2022 IEEE. Creator An entity primarily responsible for making the resource Christila S.A.; Sivakumar R. Source A related resource from which the described resource is derived 4th International Conference on Circuits, Control, Communication and Computing, I4C 2022, pp. 451-455. 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/I4C57141.2022.10057641" target="_blank" rel="noreferrer noopener">https://doi.org/10.1109/I4C57141.2022.10057641</a> <a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85150244806&doi=10.1109%2FI4C57141.2022.10057641&partnerID=40&md5=04f16986941ff2e850718bad897f5402" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85150244806&doi=10.1109%2fI4C57141.2022.10057641&partnerID=40&md5=04f16986941ff2e850718bad897f5402</a> Rights Information about rights held in and over the resource Restricted Access Relation A related resource ISBN: 979-835039747-5 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 Christila S.A., CHRIST (Deemed to Be University), Dept. of Computer Science, Karnataka, Bengaluru, India; Sivakumar R., CHRIST (Deemed to Be University), Dept. of Computer Science, Karnataka, 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 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 Multi-layer Stacking-based Emotion Recognition using Data Fusion Strategy Subject The topic of the resource Electroencephalograph (eeg); Emotion recognition; Feature selection; Linear regression based correlation coefficient; Machine learning techniques; Multi-layer stacking model Description An account of the resource Electroencephalography (EEG), or brain waves, is a commonly utilized bio signal in emotion detection because it has been discovered that the data recorded from the brain seems to have a connection between motions and physiological effects. This paper is based on the feature selection strategy by using the data fusion technique from the same source of EEG Brainwave Dataset for Classification. The multi-layer Stacking Classifier with two different layers of machine learning techniques was introduced in this approach to concurrently learn the feature and distinguish the emotion of pure EEG signals states in positive, neutral and negative states. First layer of stacking includes the support vector classifier and Random Forest, and the second layer of stacking includes multilayer perceptron and Nu-support vector classifiers. Features are selected based on a Linear Regression based correlation coefficient (LR-CC) score with a different range like n1, n2,n3,n4 a, for d1 used n1 and n2 dataset,for d2 dataset, combined dataset of n3 and n4 are used and developed a new dataset d3 which is the combination of d1 and d2 by using the feature selection strategy which results in 997 features out of 2548 features of the EEG Brainwave dataset with a classification accuracy of emotion recognition 98.75%, which is comparable to many state-of-the-art techniques. It has been established some scientific groundwork for using data fusion strategy in emotion recognition. 2022. International Journal of Advanced Computer Science and Applications. All Rights Reserved. Creator An entity primarily responsible for making the resource Tahseen S.; Danti A. Source A related resource from which the described resource is derived International Journal of Advanced Computer Science and Applications, Vol-13, No. 6, pp. 433-442. Publisher An entity responsible for making the resource available Science and Information Organization 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/10.14569/IJACSA.2022.0130654" target="_blank" rel="noreferrer noopener">https://doi.org/10.14569/IJACSA.2022.0130654</a> <a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85133405438&doi=10.14569%2FIJACSA.2022.0130654&partnerID=40&md5=7e9025aa218d53d6f7c1110b4f8fa1e1" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85133405438&doi=10.14569%2fIJACSA.2022.0130654&partnerID=40&md5=7e9025aa218d53d6f7c1110b4f8fa1e1</a> Rights Information about rights held in and over the resource All Open Access; Gold Open Access Relation A related resource ISSN: 2158107X 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 Tahseen S., Dept. of Computer Science and Engineering, Christ University, Bangalore, India; Danti A., Dept. of Computer Science and Engineering, Christ 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 Book Chapter 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/. Title A name given to the resource Multi-level Prediction of Financial Distress of Indian Companies Using Machine Learning Subject The topic of the resource Financial distress; Machine learning; Modern models; Multi-level; Performance measures; Prediction Description An account of the resource Predicting Financial Distress (FD) and shielding companies from reaching that stage is vital, even indispensable for every business. FD, if not attended to on time, ultimately leads to bankruptcy. Prediction variables are essential to forecast the wreckage in the business; however, the prediction is successful when suitable models are used. This study aims to predict FD at three levels: from mild to severe, by applying a machine learning algorithm. The study identifies modern models using the machine learning approach for predicting multi-level FD and summarises the significance of modern models through machine learning technology, to sustain the future development of the economy. The modern models are free from rigid assumptions and have proved to be the best in the prediction of FD. The results show that FD prediction is important at multiple stages. The models performance will be high when the best features are selected using the Pearson Correlation and SFS Feature selection approach. Among the ten models used in the study, LightGBM Classifier shows the highest performance of 80.43% accuracy without feature selection. However, with Pearson Correlation Approach and SFS Feature Selection methods, the accuracy is 82.68% and 86.95% respectively. This study has major implications for the stakeholders of the company to take timely decisions on their investment and for the management as a yardstick to check the performance of the business. The Author(s), under exclusive license to Springer Nature Switzerland AG 2025. Creator An entity primarily responsible for making the resource Fernandes R.L.; Tantia V. Source A related resource from which the described resource is derived Studies in Systems, Decision and Control, Vol-555, pp. 265-274. 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 2025-01-01 Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.1007/978-3-031-67890-5_25" target="_blank" rel="noreferrer noopener">https://doi.org/10.1007/978-3-031-67890-5_25</a> <a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85210150952&doi=10.1007%2F978-3-031-67890-5_25&partnerID=40&md5=eda7d05f977bb495219f6150c474fa16" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85210150952&doi=10.1007%2f978-3-031-67890-5_25&partnerID=40&md5=eda7d05f977bb495219f6150c474fa16</a> Rights Information about rights held in and over the resource Restricted Access Relation A related resource ISSN: 21984182 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 Book chapter Coverage The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant Fernandes R.L., Christ University, Hosur Road, Bangalore, 560029, India; Tantia V., Christ University, Hosur Road, Bangalore, 560029, 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 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 Multi-Model Traffic Forecasting in Smart Cities using Graph Neural Networks and Transformer-based Multi-Source Visual Fusion for Intelligent Transportation Management Subject The topic of the resource Congestion forecasting; Graph neural networks; Multi-modal traffic forecasting; Recursive feature elimination; Smart cities; Transformer-based multi-source visual fusion Description An account of the resource In the intelligent transportation management of smart cities, traffic forecasting is crucial. The optimization of traffic flow, reduction of congestion, and improvement of theoverall transportation systemefficiency all depend on accurate traffic pattern projections. In order to overcome the difficulties causedby the complexity and diversity of urban traffic dynamics, this research suggests a unique method for multi-modal traffic forecasting combining Graph Neural Networks (GNNs) and Transformer-based multi-source visual fusion. GNNs are employed in this method to capture the spatial connections betweenvarious road segments and to properly reflect the basic structure of the road network. The model's ability to effectively analyse traffic dynamics and relationships between nearby locations is enhanced by graphsrepresenting the road layout, which also increases theoutcome of traffic predictions. Recursive Feature Elimination (RFE) is employed to improve the model's feature selection process and choose the most pertinent features for traffic prediction, producing forecasts that are more effective and precise. Utilizing real-time data, the performance of the suggested strategywasassessed, enabling it to adjust to shifting traffic patterns and deliver precise projections for intelligent transportation management. The empirical outcomes show exceptional results ofperformance metrics for the proposed approach, achieving anamazing accuracy of 99%. The resultsshow that the suggested techniques findings have the ability to anticipate traffic and exhibit a superior level of reliability whichsupports efficient transportation management in smart cities. The Author(s), under exclusive licence to Intelligent Transportation Systems Japan 2024. Creator An entity primarily responsible for making the resource Dhanasekaran S.; Gopal D.; Logeshwaran J.; Ramya N.; Salau A.O. Source A related resource from which the described resource is derived International Journal of Intelligent Transportation Systems Research, Vol-22, No. 3, pp. 518-541. Publisher An entity responsible for making the resource available Springer 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/s13177-024-00413-4" target="_blank" rel="noreferrer noopener">https://doi.org/10.1007/s13177-024-00413-4</a> <a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85201395364&doi=10.1007%2Fs13177-024-00413-4&partnerID=40&md5=dae60889095fac07bf59c2caacfff581" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85201395364&doi=10.1007%2fs13177-024-00413-4&partnerID=40&md5=dae60889095fac07bf59c2caacfff581</a> Rights Information about rights held in and over the resource Restricted Access Relation A related resource ISSN: 13488503 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 Dhanasekaran S., Department of Electronics and Communication Engineering, Sri Eshwar College of Engineering, Tamil Nadu, Coimbatore, 641202, India; Gopal D., Department of Electronics and Communication Engineering, AVN Institute of Engineering and Technology, Hyderabad, India; Logeshwaran J., Department of Computer Science, CHRIST (Deemed to be University), Karnataka, Bengaluru, India; Ramya N., Department of Electronics and Communication Engineering, M.Kumarasamy College of Engineering, Karur, India; Salau A.O., Department of Electrical/Electronics and Computer Engineering, Afe Babalola University, Ado-Ekiti, Nigeria, Saveetha School of Engineering, Saveetha Institute of Medical and Technical Sciences, Tamil Nadu, Chennai, 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 Multi-objective ANT lion optimization algorithm based mutant test case selection for regression testing Subject The topic of the resource Genetic algorithm; Matlab; Mutant test case; Regression testing; Software testing Description An account of the resource The regression testing is principally carried out on modified parts of the programs. The quality of programs is the only concern of regression testing in the case of produced software. Main challenges to select mutant test cases are related to the affected classes. In software regression testing, the identification of optimal mutant test case is another challenge. In this research work, an evolutionary approach multi objective ant-lion optimization (MOALO) is proposed to identify optimal mutant test cases. The selection of mutant test cases is processed as multi objective enhancement problem and these will solve through MOALO algorithm. Optimal identification of mutant test cases is carried out by using the above algorithm which also enhances the regression testing efficiency. The proposed MOALO methods are implemented and tested using the Mat Lab software platform. On considering the populace size of 100, at that point the fitness estimation of the proposed framework, NSGA, MPSO, and GA are 3, 2.4, 1, and 0.3 respectively. The benefits and efficiencies of proposed methods are compared with random testing and existing works utilizing NSGA-II, MPSO, genetic algorithms in considerations of test effort, mutation score, fitness value, and time of execution. It is found that the execution times of MOALO, NSGA, MPSO, and GA are 2.8, 5, 6.5, and 7.8 respectively. Finally, it is observed that MOALO has higher fitness estimation with least execution time which indicates that MOALO methods provide better results in regression testing. 2021 Scientific Publishers. All rights reserved. Creator An entity primarily responsible for making the resource Tripathi A.; Srivastava S.; Mittal H.; Sinha S.; Yadav V. Source A related resource from which the described resource is derived Journal of Scientific and Industrial Research, Vol-80, No. 7, pp. 582-592. Publisher An entity responsible for making the resource available National Institute of Science Communication and Information Resources 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="" target="_blank" rel="noreferrer noopener"></a> <a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85116109051&partnerID=40&md5=4364c82591b63310aa68949ba64a73f1" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85116109051&partnerID=40&md5=4364c82591b63310aa68949ba64a73f1</a> Rights Information about rights held in and over the resource Restricted Access Relation A related resource ISSN: 224456 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 Tripathi A., VIT Bhopal University, Madhya Pradesh, India; Srivastava S., Christ University, India; Mittal H., Raj Kumar Goel Institute of Technology, Uttar Pradesh, Ghaziabad, India; Sinha S., JSS Academy of Technical Education, Uttar Pradesh, Noida, India; Yadav V., ABES Engineering College, Uttar Pradesh, Ghaziabad, 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 PHD PhD PhD Thesis 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/. Relation A related resource 61000371 Title A name given to the resource Multi-Objective Optimization Approaches for Solar Photovoltaic Inverter Control and Energy Balance in A Smart Grid Environment Subject The topic of the resource Electrical and Electronics Engineering Description An account of the resource Placement of distributed generation in electrical distribution system is a critical newlineaspect of optimizing grid performance and ensuring effcient integration of renewable energy sources. Renewable based sources must be properly positioned and sized to avoid bidirectional power and#64258;ows, voltage/frequency and#64258;uctuations and performance degradation. Solar Photovoltaic Systems and Wind Turbines are potentially becoming the preferred renewable energy based, distribution generation sources. Precise control mechanisms like advanced inverter strategies and direct load control are crucial for regulating voltage, frequency and reactive power output, thereby optimizing grid operation and maximizing integration benefts from these sources. However, optimizing the allocation and operation of these systems in grid connected and islanded modes, particularly in radially confgured systems, requires addressing algorithmic challenges, problems related to nonlinear optimization, newlinevariable generations and load variations. To effectively allocate these systems in the newlineelectrical distribution system, advanced optimization techniques capable of newlinehandling multi-objective, nonlinear problems are needed. Similarly, optimizing the power factor of the distributed generation sources and optimizing the load factor in these systems demand adaptive algorithms that can manage nonlinear objectives and dynamic system conditions. In response to the above research questions, this study focuses on determining the optimal placement and sizing of the distributed generation sources in the electrical distribution system with the objective to minimize real power loss and improve voltage stability. Learning enthusiasm based teaching learning based optimization algorithm has been employed for location selection and sizing optimization. The effectiveness of the proposed approach is validated on standard IEEE 33-bus and newline69-bus test systems, demonstrating decreased distribution losses and improved voltage stability. Creator An entity primarily responsible for making the resource Nirmala, John Source A related resource from which the described resource is derived Author's Submission Publisher An entity responsible for making the resource available Christ(Deemed to be University) Date A point or period of time associated with an event in the lifecycle of the resource 2024-01-01 Contributor An entity responsible for making contributions to the resource Janamala, Varaprasad and Rodrigues, Joseph Rights Information about rights held in and over the resource Open Access Format The file format, physical medium, or dimensions of the resource PDF Language A language of the resource English Type The nature or genre of the resource PhD Identifier An unambiguous reference to the resource within a given context <a href="http://hdl.handle.net/10603/597565" target="_blank" rel="noreferrer noopener">http://hdl.handle.net/10603/597565</a> 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 Multi-stage fuzzy swarm intelligence for automatic hepatic lesion segmentation from CT scans Subject The topic of the resource CALOFCM; Chaos theory; Computed tomography (CT); Fuzzy C-Means (FCM); Hepatic lesion; Swarm intelligence (SI) Description An account of the resource Segmentation of liver and hepatic lesions using computed tomography (CT) is a critical and challenging task for doctors to accurately identify liver abnormalities and to reduce the risk of liver surgery. This study proposed a novel dynamic approach to improve the fuzzy c-means (FCM) clustering algorithm for automatic localization and segmentation of liver and hepatic lesions from CT scans. More specifically, we developed a powerful optimization approach in terms of accuracy, speed, and optimal convergence based on fast-FCM, chaos theory, and bio-inspired ant lion optimizer (ALO), named (CALOFCM), for automatic liver and hepatic lesion segmentation. We employed ALO to guide the FCM to determine the optimal cluster centroids for segmentation processes. We used chaos theory to improve the performance of ALO in terms of convergence speed and local minima avoidance. In addition, chaos theory-based ALO prevented the FCM from getting stuck in local minima and increased computational performance, thus increasing stability, reducing sensitivity in the iterative process, and allowing the best centroids to be used by FCM. We validated the proposed approach on a group of patients with abdominal liver CT images, and the results showed good detection and segmentation performance compared with other popular techniques. This new hybrid approach allowed for the clinical diagnosis of hepatic lesions earlier and more systematically, thereby helping medical experts in their decision-making. 2020 Elsevier B.V. Creator An entity primarily responsible for making the resource Anter A.M.; Bhattacharyya S.; Zhang Z. Source A related resource from which the described resource is derived Applied Soft Computing Journal, Vol-96 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 2020-01-01 Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.1016/j.asoc.2020.106677" target="_blank" rel="noreferrer noopener">https://doi.org/10.1016/j.asoc.2020.106677</a> <a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85090040754&doi=10.1016%2Fj.asoc.2020.106677&partnerID=40&md5=0b43d754e84d67818adac14ac91c6a33" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85090040754&doi=10.1016%2fj.asoc.2020.106677&partnerID=40&md5=0b43d754e84d67818adac14ac91c6a33</a> Rights Information about rights held in and over the resource Restricted Access Relation A related resource ISSN: 15684946 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 Anter A.M., School of Biomedical Engineering, Health Science Center, Shenzhen University, Shenzhen, 518060, China, Faculty of Computers and Artificial Intelligence, Beni-Suef University, Benisuef, 62511, Egypt; Bhattacharyya S., Department of Computer Science and Engineering, CHRIST (Deemed to be University), Bangalore, India; Zhang Z., School of Biomedical Engineering, Health Science Center, Shenzhen University, Shenzhen, 518060, China, Peng Cheng Laboratory, Shenzhen, 518055, China 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-view video summarization Subject The topic of the resource Euclidean distance; Key frames; Spatio temporal; Threshold values; Video summarization Description An account of the resource Video summarization is the most important video content service which gives us a short and condensed representation of the whole video content. It also ensures the browsing, mining, and storage of the original videos. The multi- view video summaries will produce only the most vital events with more detailed information than those of less salient ones. As such, it allows the interface user to get only the important information or the video from different perspectives of the multi-view videos without watching the whole video. In our research paper, we are focusing on a series of approaches to summarize the video content and to get a compact and succinct visual summary that encapsulates the key components of the video. Its main advantage is that the video summarization can turn numbers of hours long video into a short summary that an individual viewer can see in just few seconds. Springer India 2016. Creator An entity primarily responsible for making the resource Thingom C.; Yeon G. Source A related resource from which the described resource is derived Advances in Intelligent Systems and Computing, Vol-435, pp. 461-473. Publisher An entity responsible for making the resource available Springer Verlag Date A point or period of time associated with an event in the lifecycle of the resource 2016-01-01 Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.1007/978-81-322-2757-1_46" target="_blank" rel="noreferrer noopener">https://doi.org/10.1007/978-81-322-2757-1_46</a> <a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-84959112550&doi=10.1007%2F978-81-322-2757-1_46&partnerID=40&md5=99be903d36f214c289b144f946db42f5" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-84959112550&doi=10.1007%2f978-81-322-2757-1_46&partnerID=40&md5=99be903d36f214c289b144f946db42f5</a> Rights Information about rights held in and over the resource Restricted Access Relation A related resource ISSN: 21945357; ISBN: 978-813222756-4 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 Thingom C., Centre for Digital Innovation, Christ University, Bangalore, India; Yeon G., Centre for Digital Innovation, Christ 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 Reviews Review Faculty Publications- Reviews 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 Multicomponent Synthesis Strategies, Catalytic Activities, and Potential Therapeutic Applications of Pyranocoumarins: A Comprehensive Review Subject The topic of the resource carbon-based nanocatalyst; organocatalyst; pyranocoumarins; transition metal-based catalyst; transition metal-based nanocatalyst Description An account of the resource Fused coumarins, because of their remarkable biological and therapeutic properties, particularly pyranocoumarins, have caught the interest of synthetic organic chemists, leading to the development of more efficient and environmentally friendly protocols for synthesizing pyranocoumarin derivatives. These compounds are the most promising heterocycles discovered in both natural and synthetic sources, with anti-inflammatory, anti-HIV, antitubercular, antihyperglycemic, and antibacterial properties. This review employed the leading scientific databases Scopus, Web of Science, Google Scholar, and PubMed up to the end of 2022, as well as the combining terms pyranocoumarins, synthesis, isolation, structural elucidation, and biological activity. Among the catalysts employed, acidic magnetic nanocatalysts, transition metal catalysts, and carbon-based catalysts have all demonstrated improved reaction yields and facilitated reactions under milder conditions. Herein, the present review discusses the various multicomponent synthetic strategies for pyranocoumarins catalyzed by transition metal-based catalysts, transition metal-based nanocatalysts, transition metal-free catalysts, carbon-based nanocatalysts, and their potential pharmacological activities. 2023 The Authors. Chemistry & Biodiversity published by Wiley-VHCA AG, Zurich, Switzerland. Creator An entity primarily responsible for making the resource Jayalakshmi M.; Joy F.; Nizam A.; Naidu Krishna S.B. Source A related resource from which the described resource is derived Chemistry and Biodiversity, Vol-20, No. 10 Publisher An entity responsible for making the resource available John Wiley and Sons 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/10.1002/cbdv.202300836" target="_blank" rel="noreferrer noopener">https://doi.org/10.1002/cbdv.202300836</a> <a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85173457061&doi=10.1002%2Fcbdv.202300836&partnerID=40&md5=2e997a936715286ea44f6a7ee2bd4768" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85173457061&doi=10.1002%2fcbdv.202300836&partnerID=40&md5=2e997a936715286ea44f6a7ee2bd4768</a> Rights Information about rights held in and over the resource All Open Access; Hybrid Gold Open Access Relation A related resource ISSN: 16121872; PubMed ID: 37702294; CODEN: CBHIA 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 Review Coverage The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant Jayalakshmi M., Department of Chemistry, CHRIST (Deemed to be University), Karnataka, Bangalore, 560029, India; Joy F., Department of Chemistry, CHRIST (Deemed to be University), Karnataka, Bangalore, 560029, India; Nizam A., Department of Chemistry, CHRIST (Deemed to be University), Karnataka, Bangalore, 560029, India; Naidu Krishna S.B., Institute for Water and Wastewater Technology, Durban University of Technology, Durban, 4000, South Africa, Department of Biomedical and Clinical Technology, Durban University of Technology, Durban, 4000, South Africa https://archives.christuniversity.in/files/original/14a5ebf8fffd46c2b668ba8c2929c8bb.png 390d04552178b166ead5c57c6a2eab42 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 Multidrug Resistant Bacteria: The Fatal Menace in Healthcare Subject The topic of the resource Biotechnology Description An account of the resource Mapana Journal of Sciences, Vol-11 (1), pp. 31-47. ISSN-0975-3303 Creator An entity primarily responsible for making the resource Sarojini Suma Publisher An entity responsible for making the resource available Mapana Journal of Sciences Date A point or period of time associated with an event in the lifecycle of the resource 2012 Language A language of the resource English 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 Book Chapter 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/. Title A name given to the resource Multifaceted Anticancer Potential of Trigonella foenum-graecum Subject The topic of the resource Anti-angiogenic; Antiapoptotic; Anticancer; Antioxidant; Diosgenin; Trigonella foenum-graecum Description An account of the resource The past decade saw a revolution in the discovery of genetic and epigenetic factors paving way for various types of cancers. With a better understanding of the causes, comes a chance of wider possibility of targeting the root causes of cancer. Nature is a storehouse of natural anticancer molecules, many yet to be explored. Trigonella foenumgraecum (fenugreek) is one such plant, having a huge potential for modulating prophylactic and therapeutic aspects of cancer. Cuisines world over make uses of this legume in multiple ways. This small herb has been found to be loaded with many secondary metabolites like diosgenin, coumarin, trigonelline and so on that reduce inflammation, promote apoptosis, act as antioxidants, regulates cell proliferation, etc., thereby reducing the effects of various hallmarks of cancer. Components of T. foenum-graecum extracts have been found to be effective in alleviating both solid tumours and blood cancers. The milieu of phytochemicals present in T. foenum-graecum has already been shown to have antimicrobial, antioxidant and neuroprotective properties by several studies done in different parts of the world. The current chapter attempts to have a comprehensive look at the potential of various bioactive principles in Trigonella foenum-graecum to be used for the prevention and treatment of cancer. In today's global scenario, where cancer incidences are alarmingly rising, such natural remedies would indeed go a long way in preventing various types of cancer and imparting a better quality of life. 2021 Nova Science Publishers, Inc. Creator An entity primarily responsible for making the resource Sarojini S.; Iyer S.K. Source A related resource from which the described resource is derived Horizons in Cancer Research, Vol-79, pp. 1-42. Publisher An entity responsible for making the resource available Nova Science Publishers, Inc. 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="" target="_blank" rel="noreferrer noopener"></a> <a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85107484944&partnerID=40&md5=b596aae27108067c3ad6041be34e51e9" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85107484944&partnerID=40&md5=b596aae27108067c3ad6041be34e51e9</a> Rights Information about rights held in and over the resource Restricted Access Relation A related resource ISBN: 978-153619359-6; 978-153619330-5 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 Book chapter Coverage The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant Sarojini S.; Iyer S.K., Department of Life Sciences, CHRIST (Deemed to be University), Bangalore, 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 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 Multifaceted Destination Personality Traits: A Short Communication on Understanding from Tourists Perspective Subject The topic of the resource branding; destination; perception; personality traits; tourists Description An account of the resource This short communication is an extract from a major research work on destination branding, and this cull out of analysis focused on the multifaceted destination personality traits that the destinations possess and perhaps how such perceptions of tourists differ based on the selected personal factors. Though there are many studies in the destination branding literature, the evidence regarding the personality traits is still at the stage of progression, and approaches referring to multifaceted personality traits are unseen. After the pilot testing, a structured questionnaire was floated to 400 tourists who visited the selected destinations a district in Tamil Nadu, India, between June 2019 and February 2020, where 327 responses were finalized. The questionnaire had statements measuring the destinations personality traits and other questions on tourists characteristics. Combined mean calculation and multivariate results revealed that two personality traits, welcoming and friendly, were emphasized by the tourists and perceived in common. Also, personality traits such as spiritual and charming were found to be commonly perceived. The mean values also indicated the existence of multifaceted destination personality traits some inherent and some perceived. Marketers and others thereof have been recommended on the branding and advertising strategies based on the outcome of this communication. The limitations and scope of this research have been indicated. 2022, Associated Management Consultants Pvt. Ltd.. All rights reserved. Creator An entity primarily responsible for making the resource Sabari Shankar R.; John P.R.V. Source A related resource from which the described resource is derived Indian Journal of Marketing, Vol-52, No. 3, pp. 50-59. Publisher An entity responsible for making the resource available Associated Management Consultants Pvt. Ltd. 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/10.17010/ijom/2022/v52/i3/168657" target="_blank" rel="noreferrer noopener">https://doi.org/10.17010/ijom/2022/v52/i3/168657</a> <a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85127342215&doi=10.17010%2Fijom%2F2022%2Fv52%2Fi3%2F168657&partnerID=40&md5=7a175aa92f4107e50acdaf518e316c3d" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85127342215&doi=10.17010%2fijom%2f2022%2fv52%2fi3%2f168657&partnerID=40&md5=7a175aa92f4107e50acdaf518e316c3d</a> Rights Information about rights held in and over the resource Restricted Access Relation A related resource ISSN: 9738703 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 Sabari Shankar R., IIMBx Digital Initiative, Indian Institute of Management Bangalore, Bilekahalli, Opp. Apollo Hospital, Karnataka, Bangalore, 560 076, India; John P.R.V., School of Business and Management, CHRIST Deemed to be University, Hulimavu, Bannerghatta Road, Bangalore, Karnataka, 560 076, 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 Reviews Review Faculty Publications- Reviews 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 Multifarious pigment producing fungi of Western Ghats and their potential Subject The topic of the resource anticancer; endophyte; fungi; natural colorant; pigments; Western Ghats Description An account of the resource Concerns about the negative impacts of synthetic colorants on both con-sumers and the environment have sparked a surge of interest in natural col-orants. This has boosted the global demand for natural colorants in the food, cosmetics and textile industries. Pigments and colorants derived from plants and microorganisms are currently the principal sources used by mod-ern industry. When compared to the hazardous effects of synthetic dyes on human health, natural colors are quickly degradable and have no negative consequences. In fact, fungal pigments have multidimensional bioactivity spectra too. Western Ghats, a biodiversity hotspot has a lot of unique eco-logical niches known to harbor potential endophytic pigment-producing fungi having enumerable industrial and medical applications. Most of the fungi have coevolved with the plants in a geographical niche and hence the endophytic associations can be thought to bring about many mutually ben-eficial traits. The current review aims to highlight the potential of fungal pigments found in the Western ghats of India depicting various methods of isolation and screening, pigment extraction and uses. There is an urgent need for bioprospecting for the identification and characterization of ex-tremophilic endophytic fungi to meet industry demands and attain sustain-ability and balance in nature, especially from geographic hotspots like the Western Ghats. 2022 Horizon e-Publishing Group. All rights reserved. Creator An entity primarily responsible for making the resource Sivakumar B.; Rao N.R.; Poornamath B.P.; Jayaram S.; Sarojini S. Source A related resource from which the described resource is derived Plant Science Today, Vol-9, No. 3, pp. 733-747. Publisher An entity responsible for making the resource available Horizon e-Publishing Group 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/10.14719/pst.1759" target="_blank" rel="noreferrer noopener">https://doi.org/10.14719/pst.1759</a> <a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85135534637&doi=10.14719%2Fpst.1759&partnerID=40&md5=abfc81a6ef9003ef8467c0d2792ff6f1" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85135534637&doi=10.14719%2fpst.1759&partnerID=40&md5=abfc81a6ef9003ef8467c0d2792ff6f1</a> Rights Information about rights held in and over the resource All Open Access; Gold Open Access Relation A related resource ISSN: 23481900 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 Review Coverage The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant Sivakumar B., Department of Life Sciences, CHRIST (Deemed to be University), Bengaluru, 560 029, India; Rao N.R., Department of Life Sciences, CHRIST (Deemed to be University), Bengaluru, 560 029, India; Poornamath B.P., Department of Life Sciences, CHRIST (Deemed to be University), Bengaluru, 560 029, India; Jayaram S., Department of Life Sciences, CHRIST (Deemed to be University), Bengaluru, 560 029, India; Sarojini S., Department of Life Sciences, CHRIST (Deemed to be University), Bengaluru, 560 029, 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 Multifarious Potential of Biopolymer-Producing Bacillus subtilis NJ14 for Plant Growth Promotion and Stress Tolerance in Solanum lycopercicum L. and Cicer arietinum L: A Way Toward Sustainable Agriculture Subject The topic of the resource Biofertilizer; Biopolymer; Halotolerance; Plant growth promotion; Polyhydroxyalkanoates Description An account of the resource Diverse practices implementing biopolymer-producing bacteria have been examined in various domains lately. PHAs are among the major biopolymers whose relevance of PHA-producing bacteria in the field of crop improvement is one of the radical unexplored aspects in the field of agriculture. Prolonging shelf life is one serious issue hindering the establishment of biofertilizers. Studies support that PHA can help bacteria survive stressed conditions by providing energy. Therefore, PHA-producing bacteria with Plant Growth-Promoting ability can alter the existing problem of short shelf life in biofertilizers. In the present study, Bacillus subtilis NJ14 was isolated from the soil. It was explored to understand the ability of the strain to produce PHA and augment growth in Solanum lycopersicum and Cicer arietinum. NJ14 strain improved the root and shoot length of both plants significantly. The root and shoot length of S. lycopersicum was increased by 3.49 and 0.41cm, respectively. Similarly, C. arietinum showed a 9.55 and 8.24cm increase in root and shoot length, respectively. The strain also exhibited halotolerant activity (up to 10%), metal tolerance to lead (up to 1000?g/mL) and mercury (up to 100?g/mL), indicating that the NJ14 strain can be an ideal candidate for a potent biofertilizer. Graphical Abstract: (Figure presented.) The Author(s), under exclusive licence to Springer Science+Business Media, LLC, part of Springer Nature 2023. Creator An entity primarily responsible for making the resource James N.; Umesh M. Source A related resource from which the described resource is derived Molecular Biotechnology, Vol-66, No. 5, pp. 1031-1050. Publisher An entity responsible for making the resource available Springer 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/s12033-023-01001-9" target="_blank" rel="noreferrer noopener">https://doi.org/10.1007/s12033-023-01001-9</a> <a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85179998171&doi=10.1007%2Fs12033-023-01001-9&partnerID=40&md5=8e044c229f2615f92013055f210bc601" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85179998171&doi=10.1007%2fs12033-023-01001-9&partnerID=40&md5=8e044c229f2615f92013055f210bc601</a> Rights Information about rights held in and over the resource Restricted Access Relation A related resource ISSN: 10736085; PubMed ID: 38097901 | LS; 2023-2024; Vol-2; 0128-0147 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 James N., Department of Life Sciences, CHRIST (Deemed to be University), Hosur Road, Karnataka, Bengaluru, 560029, India; Umesh M., Department of Life Sciences, CHRIST (Deemed to be University), Hosur Road, Karnataka, Bengaluru, 560029, 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 Reviews Review Faculty Publications- Reviews 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 Multifractal analysis of volatility for detection of herding and bubble: Evidence from CNX Nifty HFT Subject The topic of the resource Econophysics; Generalized Hurst exponent; Multifractal detrended fluctuation analysis Description An account of the resource This study delves into the herding and bubble detection in the volatility domain of a capital market underlying. Furthermore, it focuses on creating heuristics, so that common investors find it relatively easy to understand the state of the market volatility. Hence, it can be termed that this study is focused on the specific financial innovation regarding bubble and herding detection coupled with investor awareness. The traces of possible volatility bubble emerge when it is positioned against its own lags (both lag1 and lag2). The volatility trigger indicated clear traces of herding and an embedded parabola function. Continuous and repetitive parabola function hinted at a subtle presence of "fractals". Firstly, the detrended fluctuation analysis has been used with its multifractal variant. Secondly, the regularized form of Hurst calculation and analysis have been used. Both tests reveal the traces of nascent bubble formation owing to prominent herding in CNX Nifty HFT environment. They also indicate a clear link with Hausdorff topological patterns. These patterns would help to create heuristics, enabling investors to be aware of possible bubble and herd situations. Bikramaditya Ghosh, Emira Kozarevic, 2019. Creator An entity primarily responsible for making the resource Ghosh B.; Kozarevic E. Source A related resource from which the described resource is derived Investment Management and Financial Innovations, Vol-16, No. 3, pp. 182-193. Publisher An entity responsible for making the resource available LLC CPC Business Perspectives 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/10.21511/imfi.16(3).2019.17" target="_blank" rel="noreferrer noopener">https://doi.org/10.21511/imfi.16(3).2019.17</a> <a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85072130501&doi=10.21511%2Fimfi.16%283%29.2019.17&partnerID=40&md5=f60da887996d3e97be90853764d8f670" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85072130501&doi=10.21511%2fimfi.16%283%29.2019.17&partnerID=40&md5=f60da887996d3e97be90853764d8f670</a> Rights Information about rights held in and over the resource All Open Access; Gold Open Access Relation A related resource ISSN: 18104967 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 Review Coverage The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant Ghosh B., Department of Finance, Christ Institute of Management, Christ University, India; Kozarevic E., Department of Finance and Financial Policy, University of Tuzla, Bosnia and Herzegovina