77 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 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 Efficient Fuzzy Logic Cluster Formation Protocol for Data Aggregation and Data Reporting in Cluster-Based Mobile Crowdsourcing Subject The topic of the resource Cluster cranium; Data aggregation; Data reporting; Mobile crowdsourcing; Query optimization; Security Description An account of the resource Crowdsourcing is a procedure of outsourcing the data to an abundant range of individual workers rather than considering an exclusive entity or a company. It has made various types of chances for some difficult issues by utilizing human knowledge. To acquire a worldwide optimal task assignment scheme, the platform usually needs to collect location information of all workers. During this procedure, there is a major security concern; i.e., the platform may not be trustworthy, and so, it brings about a threat to workers location privacy. Recently, many distinguished research papers are published to address the security and privacy issues in mobile crowdsourcing. According to our knowledge, the security issues that occur in terms of data reporting were not addressed. Secure and efficient data aggregation and data reporting are the critical issue in Mobile Crowdsourcing (MCS). Cluster-based mobile crowdsourcing (CMCS) is the efficient way for data aggregation and data reporting. In this paper, we propose a novel procedure, the efficient fuzzy logic cluster formation protocol (EFLCFP) for cluster formation, and use cluster cranium (CC) for data aggregation and data reporting. We recommend a couple of secure and efficient data transmission (SET) protocols for CMCS, (i) SET-IBE uses additively homomorphic identity-based encryption system and (ii) SET-IBOOS uses the identity-based online/offline digital signature system, respectively. Then, we have widen the features of cluster cranium by increasing the propensity to achieve aggregation and reporting on the data yielded by the requesters without scarifying their privacy. Also, considering query optimization using cost and latency. 2022, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. Creator An entity primarily responsible for making the resource Renukadevi M.; Mary Anita E.A.; Mohana Geetha D. Source A related resource from which the described resource is derived Lecture Notes in Networks and Systems, Vol-351, pp. 427-446. 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 2022-01-01 Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.1007/978-981-16-7657-4_35" target="_blank" rel="noreferrer noopener">https://doi.org/10.1007/978-981-16-7657-4_35</a> <a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85126228633&doi=10.1007%2F978-981-16-7657-4_35&partnerID=40&md5=a37e6bb7d6d2bed05075a37849e9c4f2" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85126228633&doi=10.1007%2f978-981-16-7657-4_35&partnerID=40&md5=a37e6bb7d6d2bed05075a37849e9c4f2</a> Rights Information about rights held in and over the resource Restricted Access Relation A related resource ISSN: 23673370; ISBN: 978-981167656-7 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 Renukadevi M., Department of CSE, S.A. Engineering College, Chennai, India; Mary Anita E.A., Department of CSE, School of Engineering and Technology, CHIRST University, Bengaluru, India; Mohana Geetha D., Department of CSE, Sri Krishna College of Engineering and Technology, Coimbatore, 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 An Efficient HOG-Centroid Descriptor for Human Gait Recognition Subject The topic of the resource Centroid; Descriptor; Feature fusion; Gait; HOG; Silhouette Description An account of the resource Automatic recognition of human gait have gained much attention nowadays. Histogram of Oriented Gradient (HOG) is a widely adopted descriptor for object's shape analysis. In this paper, combination of HOG descriptor with silhouette centroid for human gait recognition is proposed. The resultant descriptor, namely HOG-Centroid, achieves better recognition performance on comparison with HOG descriptor individually as well as other existing gait recognition methods. Experiments are carried out with CASIA gait dataset B and cumulative matching scores of 95.3%, 98.1% and 99.2% are obtained for rank 1, rank 5 and rank 10 respectively. 2019 IEEE. Creator An entity primarily responsible for making the resource Sugandhi K.; Raju G. Source A related resource from which the described resource is derived Proceedings - 2019 Amity International Conference on Artificial Intelligence, AICAI 2019, pp. 355-360. 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 2019-01-01 Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.1109/AICAI.2019.8701366" target="_blank" rel="noreferrer noopener">https://doi.org/10.1109/AICAI.2019.8701366</a> <a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85065618469&doi=10.1109%2FAICAI.2019.8701366&partnerID=40&md5=eb92a946574c1129c67cb7be7ed985f0" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85065618469&doi=10.1109%2fAICAI.2019.8701366&partnerID=40&md5=eb92a946574c1129c67cb7be7ed985f0</a> Rights Information about rights held in and over the resource Restricted Access Relation A related resource ISBN: 978-153869346-9 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 Sugandhi K., Department of Information Technology, Kannur University, Kannur, Kerala, 670567, India; Raju G., Department of CSE, Christ (Deemed to Be University), Bengaluru, Karnataka, 560764, 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 An efficient hybrid approach for numerical study of two-dimensional time-fractional Cattaneo model with Riesz distributed-order space-fractional operator along with stability analysis Subject The topic of the resource Cattaneo model; Distributed-order derivative; Finite element method; Legendre spectral method; Stability analysis Description An account of the resource In this article, we study and analyze the two-dimensional time-fractional Cattaneo model with Riesz space distributed-order. To obtain approximate solutions of this type of fractional model the combined and effective numerical approach based on the ADI Galerkin method and the Legendre spectral method used the ADI Galerkin numerical method uses the finite difference approach. The ADI Galerkin numerical method is used to approximate the proposed model in terms of the time variable, and the Legendre spectral method is applied to discretize the fractional model with respect to the space variable. Also, the convergence analysis and stability of the proposed method are discussed and reviewed in this manuscript. In the end, some numerical examples are tested for the effectiveness and accuracy of the proposed method. As well as, in the numerical examples section, the presented numerical approach is compared with two numerical methods and the results are reported in a table. 2024 IOP Publishing Ltd. All rights, including for text and data mining, AI training, and similar technologies, are reserved. Creator An entity primarily responsible for making the resource Derakhshan M.H.; Mortazavifar S.L.; Veeresha P.; Gez-Aguilar J.F. Source A related resource from which the described resource is derived Physica Scripta, Vol-99, No. 9 Publisher An entity responsible for making the resource available Institute of Physics 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/10.1088/1402-4896/ad6d02" target="_blank" rel="noreferrer noopener">https://doi.org/10.1088/1402-4896/ad6d02</a> <a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85201868007&doi=10.1088%2F1402-4896%2Fad6d02&partnerID=40&md5=7c45678867b3e81e70191af8d351c71c" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85201868007&doi=10.1088%2f1402-4896%2fad6d02&partnerID=40&md5=7c45678867b3e81e70191af8d351c71c</a> Rights Information about rights held in and over the resource Restricted Access Relation A related resource ISSN: 318949; CODEN: PHSTB 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 Derakhshan M.H., Department of Industrial Engineering, Apadana Institute of Higher Education, Shiraz, Iran, Zand Institute of Higher Education, Faculty of Engineering, Shiraz, 71887-73489, Iran; Mortazavifar S.L., Zand Institute of Higher Education, Faculty of Engineering, Shiraz, 71887-73489, Iran; Veeresha P., Department of Mathematics, CHRIST, Deemed to be University, Bengaluru, 560029, India; Gez-Aguilar J.F., Centro de Investigaci en Ingenier y Ciencias Aplicadas (CIICAp-IICBA), UAEM, Universidad Automa del Estado de Morelos, Cuernavaca, Mexico 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 An efficient hybrid digital architecture for space vector PWM method for multilevel VSI Subject The topic of the resource Hybrid digital structure; Multilevel inverter; Space vector pulse width modulation (SVPWM); Voltage source inverter (VSI) Description An account of the resource This paper presents an efficient, cost effective design implementation of a hybrid digital architecture for space vector pulse width modulation (SVPWM) method for multilevel inverters (MLIs). The SVPWM method is one of the most popular real time PWM method for three phase voltage source inverter (VSI). The implementation of SVPWM method becomes complex with an increase in the number of levels in a multilevel inverter. The SVPWM method for multilevel inverter is a multitask system. The main constraint when it comes to implementing SVPWM for multilevel inverters is the processing of dwell time computation and the generation of PWM gate signals for all of the switches with an accurate delay. A hybrid hardware structure consisting of a simple low-cost, low-power dsPIC micro controller (dsPIC 30F4011) and a state of the art Field Programmable Gate Array (FPGA) (Cyclone V 5CGXFC5C6F27C7N) is used to implement SVPWM. The proposed hybrid digital architecture utilizes the advantages and resources of the dsPIC and FPGA. The hybrid digital architecture meets the timing constraints of multitasking through synchronization and parallelism. A communication interface between the dsPIC and the FPGA reduces the design complexity. The software overhead for the communication interface remains fixed for any number of levels. The hybrid structure of the digital architecture provides scalability for the SVPWM method with more number of levels in multilevel inverter. The operation of the proposed hybrid digital architecture is experimentally validated with an optimized SVPWM method for a five level VSI. An optimized region identification algorithm and simple dwell time expressions are described for a five level SVPWM. The input DC of the five level VSI is obtained from a differential power processing (DPP) based PV system. Experimental results under different operating conditions are presented. 2020, The Korean Institute of Power Electronics. Creator An entity primarily responsible for making the resource Anjana K.G.; Kumar M.A.; Biswas J.; Barai M. Source A related resource from which the described resource is derived Journal of Power Electronics, Vol-20, No. 5, pp. 1328-1341. 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 2020-01-01 Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.1007/s43236-020-00120-9" target="_blank" rel="noreferrer noopener">https://doi.org/10.1007/s43236-020-00120-9</a> <a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85087813967&doi=10.1007%2Fs43236-020-00120-9&partnerID=40&md5=fd7841f7fcc84e3e3b1679e3ddab9a47" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85087813967&doi=10.1007%2fs43236-020-00120-9&partnerID=40&md5=fd7841f7fcc84e3e3b1679e3ddab9a47</a> Rights Information about rights held in and over the resource Restricted Access Relation A related resource ISSN: 15982092 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 Anjana K.G., Department of Electrical and Electronics Engineering, National Institute of Technology, Calicut, India; Kumar M.A., Department of Electrical and Electronics Engineering, National Institute of Technology, Calicut, India; Biswas J., Department of Computer Science, Christ University, Bangalore, India; Barai M., Department of Electrical and Electronics Engineering, National Institute of Technology, Calicut, 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 An efficient image denoising method based on bilateral filter model and neighshrink SURE Subject The topic of the resource Bilateral filter; Image denoising; Neighshrink SURE; Wavelet thresholding Description An account of the resource In all the instances of image acquisition, transmission and storage, the unwanted noise gets into the information content of the image and thereby introduces an unpleasant visual quality to the observer. So the field of image processing has produced a lot of image denoising algorithms and techniques to improve the visual quality of the image. Since noise cannot be reduced to zero practically, the need for faithful and efficient denoising techniques to produce almost noiseless images demands a systematic research work in the field of denoising methods. The denoising process using a bilateral filter even though produces improvement in the image quality, it does not show consistency when the noise level is high and also the peak signal to noise ratio (PSNR) and Image quality Index (IQI) do not show any improvement. This paper proposes an improved algorithm that incorporates the function of bilateral filter model and wavelet thresholding using Neighshrink SURE method. The results show significant improvement in both PSNR and IQI values with respect to the four standard test images under various noise conditions. BEIESP. Creator An entity primarily responsible for making the resource Naragund M.N.; Jagadale B.N.; Priya B.S.; Panchaxri; Hegde V. Source A related resource from which the described resource is derived International Journal of Recent Technology and Engineering, Vol-8, No. 3, pp. 8470-8475. Publisher An entity responsible for making the resource available Blue Eyes Intelligence Engineering and Sciences Publication 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/10.35940/ijrte.C6629.098319" target="_blank" rel="noreferrer noopener">https://doi.org/10.35940/ijrte.C6629.098319</a> <a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85073549674&doi=10.35940%2Fijrte.C6629.098319&partnerID=40&md5=cfb0bedcb77d7c770336d8b994b8963d" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85073549674&doi=10.35940%2fijrte.C6629.098319&partnerID=40&md5=cfb0bedcb77d7c770336d8b994b8963d</a> Rights Information about rights held in and over the resource All Open Access; Gold Open Access Relation A related resource ISSN: 22773878 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 Naragund M.N., Department of Physics and Electronics, CHRIST (Deemed to be University), Bengaluru, India; Jagadale B.N., Department of PG studies and research in Electronics, Kuvempu University, Shimoga, India; Priya B.S., Department of Electronics, Kuvempu University, Shimoga, India; Panchaxri, Department of Electronics, SSA Govt. First grade College, Ballari, India; Hegde V., Department of Electronics, MESMM Arts and Science College, Sirsi, 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 An Efficient Inclusion Complex Based Fluorescent Sensor for Mercury (II) and its Application in Live-Cell Imaging Subject The topic of the resource Chemosensor; Colorimetric; Fluorescence enhancement; Hg2+; Hydroxypropyl-beta-cyclodextrin (H-CD); Inclusion complex Description An account of the resource The formation of an inclusion complex between hydroxypropyl-?-cyclodextrin (H-CD) and 4-acetylphenyl-4-(((6-chlorobenzo[d]thiazol-2-yl)-imino)-methyl)-benzoate (L) was investigated by FT-IR, 1H-NMR, X-ray diffraction (XRD), FT-Raman, scanning electron microscope (SEM) techniques in the solid-state, absorption and emission spectroscopy in the liquid state and the virtual state as molecular docking technique. The binding properties of the inclusion complex (H-CD: L) with cations in deionized water was observed via absorbance and photoluminescence (PL) emission spectroscopy. The fluorescence probe (H-CD: L) inclusion complex (IC) was examined for several heavy metal cations, and identified that the PL emission wavelength of the complex displayed a continuous rise in the fluorescence intensity for Hg2+. A linearity range of 1 108 11 108M and limit of detection value of 2.71 1010M was found to be achieved for the detection of Hg2+. This outcome proves that the inclusion complex H-CD: L would be a promising material for the development a solid-state fluorescence probe for detecting Hg2+. It also shows application in real sample analysis and cell imaging. 2022, The Author(s), under exclusive licence to Springer Science+Business Media, LLC, part of Springer Nature. Creator An entity primarily responsible for making the resource Keerthana P.; Abbo H.; Cherian A.R.; Titinchi S.; Varghese A. Source A related resource from which the described resource is derived Journal of Fluorescence, Vol-32, No. 3, pp. 1109-1124. 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 2022-01-01 Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.1007/s10895-022-02931-4" target="_blank" rel="noreferrer noopener">https://doi.org/10.1007/s10895-022-02931-4</a> <a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85126786566&doi=10.1007%2Fs10895-022-02931-4&partnerID=40&md5=955b1de3bc687cbea3dd4771ad4c0ffa" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85126786566&doi=10.1007%2fs10895-022-02931-4&partnerID=40&md5=955b1de3bc687cbea3dd4771ad4c0ffa</a> Rights Information about rights held in and over the resource Restricted Access Relation A related resource ISSN: 10530509; PubMed ID: 35305207; CODEN: JOFLE 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 Keerthana P., Department of Chemistry, CHRIST (Deemed To Be University), Hosur Road, Bengaluru, 560029, India; Abbo H., Department of Chemistry, University of the Western Cape, Cape Town, South Africa, Department of Chemistry, College of Science, University of Basrah, Basrah, Iraq; Cherian A.R., Department of Chemistry, CHRIST (Deemed To Be University), Hosur Road, Bengaluru, 560029, India; Titinchi S., Department of Chemistry, University of the Western Cape, Cape Town, South Africa; Varghese A., Department of Chemistry, CHRIST (Deemed To Be University), Hosur Road, Bengaluru, 560029, India https://archives.christuniversity.in/files/original/180dd6ca48aa38b60306174514347365.jpg cab2e5ea026c11da557600ba85ba4e1e 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 An efficient inclusion complex based fluorescent sensor for mercury (II) and its application in live-cell imaging / Subject The topic of the resource Chemistry Description An account of the resource Journal of Fluorescence, Vol.32, pp.1109–1124, ISSN No: 1573-4994. The formation of an inclusion complex between hydroxypropyl-β-cyclodextrin (H-CD) and 4-acetylphenyl-4-(((6-chlorobenzo[d]thiazol-2-yl)-imino)-methyl)-benzoate (L) was investigated by FT-IR, 1H-NMR, X-ray diffraction (XRD), FT-Raman, scanning electron microscope (SEM) techniques in the solid-state, absorption and emission spectroscopy in the liquid state and the virtual state as molecular docking technique. The binding properties of the inclusion complex (H-CD: L) with cations in deionized water was observed via absorbance and photoluminescence (PL) emission spectroscopy. Creator An entity primarily responsible for making the resource Abbo, Hanna., Cherian, Anila Rose., Titinchi, Salam., Varghese, Anitha. Source A related resource from which the described resource is derived <a href="https://link.springer.com/article/10.1007/s10895-022-02931-4" target="_blank" title="" An efficient inclusion complex based fluorescent sensor for mercury (II) and its application in live-cell imaging"" rel="noreferrer noopener">https://link.springer.com/article/10.1007/s10895-022-02931-4</a> Publisher An entity responsible for making the resource available SpringerLink Date A point or period of time associated with an event in the lifecycle of the resource 2022-05-13 Language A language of the resource English Type The nature or genre of the resource Research Publication 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 An efficient load balancing in cloud computing using hybrid Harris hawks optimization and cuckoo search algorithm Subject The topic of the resource Cloud computing; Hybrid Harris hawks optimization-cuckoo search algorithm; Load balancing; Quality of service; Service level agreement; Task scheduling Description An account of the resource Cloud computing has rapidly emerged as a burgeoning research field in recent times. However, despite this growth, a comprehensive examination of this domain reveals persistent issues in the application of cloud-based systems concerning workload distribution. The abundance of resources and virtual machines (VMs) within cloud computing underscores the importance of efficient task allocation as a critical process. Within the infrastructure as a service (IaaS) architecture, load balancing (LB) remains a pivotal but challenging task. The occurrence of overloaded or underloaded hosts/servers during cloud access is undesirable, as it leads to operational delays and system performance degradation. To address LB issues effectively, it is imperative to deploy a proficient access scheduling algorithm capable of distributing tasks across the available resources. A novel approach was introduced by combining the Harris hawks optimization and cuckoo search algorithm (HHO-CSA), with a specific focus on critical service level agreement (SLA) parameters, particularly deadlines, to uphold LB in a cloud environment. The primary objective of the hybrid HHO-CSA methodology is to provide task attributes, resource allocation, VMs prioritization, and quality of service (QoS) to clients within cloud computing applications. The outcome analysis reveals that the proposed hybrid HHO-CSA algorithm results in a resource utilization reduction of 52%, with an execution time of 529.84 ms and a makespan of 638.88 ms. These values outperform those of existing SLA-based LB algorithms. Effective task scheduling plays a pivotal role in ensuring the seamless execution of tasks within a cloud system, while LB significantly aligns with the SLAs available to users. Drawing insights from the existing literature, the suggested hybrid HHO-CSA method addresses the research gap by effectively mitigating the challenges. 2023, Accent Social and Welfare Society. All rights reserved. Creator An entity primarily responsible for making the resource Pani A.K.; Manohar M.; Thomas M.; Kumar P. Source A related resource from which the described resource is derived International Journal of Advanced Technology and Engineering Exploration, Vol-10, No. 105, pp. 1050-1062. Publisher An entity responsible for making the resource available Accent Social and Welfare Society 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/10.19101/IJATEE.2022.10100466" target="_blank" rel="noreferrer noopener">https://doi.org/10.19101/IJATEE.2022.10100466</a> <a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85170093103&doi=10.19101%2FIJATEE.2022.10100466&partnerID=40&md5=2d5945e0d43fea281fa5081d2e64e705" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85170093103&doi=10.19101%2fIJATEE.2022.10100466&partnerID=40&md5=2d5945e0d43fea281fa5081d2e64e705</a> Rights Information about rights held in and over the resource All Open Access; Gold Open Access Relation A related resource ISSN: 23945443 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 Pani A.K., Department of Computer Science and Engineering, CHRIST (Deemed to be University), Bengaluru, India; Manohar M., Department of Computer Science and Engineering, CHRIST (Deemed to be University), Bengaluru, India; Thomas M., School of Computer Science, RV University, Bengaluru, India; Kumar P., Department of Computer Science and Engineering, Motihari College of Engineering, Bihar, 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 An Efficient Localized Route Recommendation Scheme using Fusion Algorithm for VANET based Applications Subject The topic of the resource co-operative vehicles; Fusion Algorithm; genetic algorithm; heuristic based approaches; Localized route recommendation Description An account of the resource The evolution of vehicles has led to the need for improved and advanced techniques to solve traffic related problems. The improvement related to cooperative vehicles has been a recent focus in dealing with such difficulties. The most popular application of co-operative vehicles is the route planning for travelers. In this paper, an innovative module namely Localized Route Recommendation with Fusion Algorithm (LR2FA) is proposed to enumerate a localized route recommendation system to communicate to co-operative vehicles. Traffic parameters such as vehicle speed and density information collected from the centralized location and used as decision factor to provide suggestions of routes using a novel Fusion Algorithm (FA). To evaluate the factors for route suggestion, FA uses a combination of genetic and heuristic-based approaches. The performance of the proposed localized route references is analyzed using simulated values of vehicle speed and density. It is seen from the results that the proposed LR2FA provides top fitting routes compared to greedy based route suggestion. 2022 IEEE. Creator An entity primarily responsible for making the resource Sankaranarayanan M.; Sajini S.; Anita E.A.M.; Janet J. Source A related resource from which the described resource is derived 2022 6th International Conference on Trends in Electronics and Informatics, ICOEI 2022 - Proceedings, pp. 672-677. 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/ICOEI53556.2022.9777188" target="_blank" rel="noreferrer noopener">https://doi.org/10.1109/ICOEI53556.2022.9777188</a> <a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85131960675&doi=10.1109%2FICOEI53556.2022.9777188&partnerID=40&md5=18628fe2f91011dc8bea084f7bd4e174" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85131960675&doi=10.1109%2fICOEI53556.2022.9777188&partnerID=40&md5=18628fe2f91011dc8bea084f7bd4e174</a> Rights Information about rights held in and over the resource Restricted Access Relation A related resource ISBN: 978-166548328-5 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 Sankaranarayanan M., IIIT Sri City, Andhra Pradesh, Chittoor, India; Sajini S., Anna University, Chennai, India, SRM Institute of Science and Technology, Chennai, India; Anita E.A.M., School of Engineering and Technology, Christ University, Bengaluru, India; Janet J., Sri Krishna College of Engineering and Technology, Coimbatore, 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 An efficient low complexity compression based optimal homomorphic encryption for secure fiber optic communication Subject The topic of the resource Compression; Encryption; Fiber optic communication; Optical networks; Optimal key generation; Security Description An account of the resource Latest advancements in fiber optic communication have gained significant attention among researchers owing to many benefits such as high data rate, acceptable cost, bandwidth, low attenuation, etc. Fiber optic networks are found to be a commonly utilized platform to transfer data in several applications such as personal, commercial, military areas, etc. Although fiber optic networks are highly beneficial, security remains a challenging design issue. Numerous state of art works has been developed to achieve security in fiber optic communication. Among the various methods, compression then encryption is an effective way to effectively and securely transmit the data. With this motivation, this paper presents a new Low Complexity Compression Then Encryption using Optimal Homomorphic Encryption (LCCE-OHE) technique for secured fiber optic communication. The proposed LCCE-OHE technique operates on two major phases namely compression and encryption. At the first stage, low complexity compression using Neighboring Indexing Sequence (NIS) with Deflate algorithm, named Normalized Information Distance (NID) is used. Besides, in the second stage, Quasi Oppositional Sail Fish Optimizer with Homomorphic Encryption (QOSFO-HE) technique is employed. The QOSFO algorithm is derived by incorporating the quasi oppositional learning (QOBL) concept to the SFO algorithm and is applied to optimally select the encryption keys. The performance validation of the proposed model takes place on two benchmark datasets and the experimental results are examined interms of different performance measures. The experimental values highlighted the improved compression efficiency and security level of the LCCE-OHE technique over the other techniques. 2022 Elsevier GmbH Creator An entity primarily responsible for making the resource Venu D.; Mayuri A.V.R.; Neelakandan S.; Murthy G.L.N.; Arulkumar N.; Shelke N. Source A related resource from which the described resource is derived Optik, Vol-252 Publisher An entity responsible for making the resource available Elsevier GmbH 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/10.1016/j.ijleo.2021.168545" target="_blank" rel="noreferrer noopener">https://doi.org/10.1016/j.ijleo.2021.168545</a> <a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85122210706&doi=10.1016%2Fj.ijleo.2021.168545&partnerID=40&md5=bfc4a6dde14053df54ce64a7f2692e9a" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85122210706&doi=10.1016%2fj.ijleo.2021.168545&partnerID=40&md5=bfc4a6dde14053df54ce64a7f2692e9a</a> Rights Information about rights held in and over the resource Restricted Access Relation A related resource ISSN: 304026 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 Venu D., Department of ECE, KITS Warangal, India; Mayuri A.V.R., School of Computing Science and Engineering, VIT Bhopal University, India; Neelakandan S., Department of Computer Science and Engineering, R.M.K Engineering College, Chennai, India; Murthy G.L.N., Department of Electronics and Communication Engineering, Lakireddy Bali Reddy College of Engineering, Andhra Pradesh, India; Arulkumar N., Department of CS, CHRIST (Deemed to be University), Banglore, India; Shelke N., Department of CSE, Priyadarshini Indira Gandhi College of Engineering, Nagpur, 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 An Efficient Machine Learning Approach: Analysis of Supervised Machine Learning Methods to Forecast the Diamond Price Subject The topic of the resource Diamonds; Estimated values; Machine learning; Regression Models and Cross validation Description An account of the resource Diamond, a found natural process compound of carbon, is one of the hardest and most immensely expensive material known to men, especially more to women. Investments in expensive gems like diamonds are in significant demand. The rate of a diamond, nevertheless, is not as easily calculated as the value of either gold or platinum since so many factors must be taken into account. Because there is such a broad range of diamond dimensions and qualities; as a result, being able to make reliable price predictions is crucial for the diamond industry. Although, making accurate predictions is challenging. In this study, we implemented multiple machine learning techniques employed to the challenge of diamond price forecasting's such as Linear Regression, Random Forest, Decision Tree Random Forest, Cat-Boost Regressor and XGB Regressor. This article's goal is to develop an accurate model for estimating diamond prices based on its characteristics such as weighting factor, cut grade, and dimensions. We compared the sum of estimated values and test values of predicted values with overestimated, underestimated and exact estimations. We applied cross-validation to calculate how much the model deviates from the actual when faced with a difference between the training set and the test set. We predicted values side by side. We performed a comparative analysis of supervised machine learning models with other models to evaluate the model accuracy and performance metrics. The Study's experimental findings show that out of all the supervised machine learning models, Random Forest performs well with R2score and Low RMSE and MAE values and CV Score. 2023 IEEE. Creator An entity primarily responsible for making the resource Basha M.S.A.; Oveis P.M.; Prabavathi C.; Lakshmi M.B.; Sucharitha M.M. Source A related resource from which the described resource is derived 2023 International Conference for Advancement in Technology, ICONAT 2023 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 2023-01-01 Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.1109/ICONAT57137.2023.10080618" target="_blank" rel="noreferrer noopener">https://doi.org/10.1109/ICONAT57137.2023.10080618</a> <a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85153282231&doi=10.1109%2FICONAT57137.2023.10080618&partnerID=40&md5=1b4cedfa4958cc1932e36421c929fccb" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85153282231&doi=10.1109%2fICONAT57137.2023.10080618&partnerID=40&md5=1b4cedfa4958cc1932e36421c929fccb</a> Rights Information about rights held in and over the resource Restricted Access Relation A related resource ISBN: 978-166547517-4 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 Basha M.S.A., GITAM School of Business, Gandhi Institute of Technology and Management, Deemed to Be University, Bengaluru, India; Oveis P.M., GITAM School of Business, Gandhi Institute of Technology and Management, Deemed to Be University, Bengaluru, India; Prabavathi C., Christ (Deemed to Be University), Department of Professional Studies, Bengaluru, India; Lakshmi M.B., Christ (Deemed to Be University), Department of Professional Studies, Bengaluru, India; Sucharitha M.M., Christ (Deemed to Be University), Department of Professional Studies, 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 An Efficient Machine Learning Classification model for Credit Approval Subject The topic of the resource Bank Loan; Credit Approval; Logistic Regression.; Machine Learning; Random Forest Description An account of the resource Credit authorization is a critical step for banks as well as every bank's main source of revenue is its line of credit. Thus, banks can profit from the loan interest they approve. Profitability or lost opportunity of a bank is highly dependent on loans that are whether consumers repay the debt or refuse. Loan collection is a significant factor in a bank's economic results. Forecasting the customer's ability to repay the loan in order to determine whether it should authorize or deny loan documents is a significant undertaking and a critical method in data analytics is being utilized to investigate the problem of loan default prediction: On the premise of assessment, the Logistic-Regression Classification Model, Random-Forest Classifier and Decision Tree Classification Models are compared. The mentioned classification algorithms were created as well as subsequently various evaluation metrics were obtained. By utilizing a suitable strategy, the appropriate clients for loan providing may be simply identified by assessing their probability of non-performing loans. This indicates that a bank really shouldn't simply prioritize wealthy consumers when giving loans, but it should also consider a client's other characteristics. This approach is critical in making credit judgments and forecasting default risk. 2023 IEEE. Creator An entity primarily responsible for making the resource Dr.D.M.V. R.; Lakshmanarao A.; Gupta C. Source A related resource from which the described resource is derived Proceedings of the 3rd International Conference on Artificial Intelligence and Smart Energy, ICAIS 2023, pp. 499-503. 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 2023-01-01 Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.1109/ICAIS56108.2023.10073706" target="_blank" rel="noreferrer noopener">https://doi.org/10.1109/ICAIS56108.2023.10073706</a> <a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85152380864&doi=10.1109%2FICAIS56108.2023.10073706&partnerID=40&md5=d0b0f428dfb39c9ba0328a42e8f89372" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85152380864&doi=10.1109%2fICAIS56108.2023.10073706&partnerID=40&md5=d0b0f428dfb39c9ba0328a42e8f89372</a> Rights Information about rights held in and over the resource Restricted Access Relation A related resource ISBN: 978-166546216-7 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 Dr.D.M.V. R., Aditya Engineering College, Department of It, Surampalem, India; Lakshmanarao A., Aditya Engineering College, Department of It, Surampalem, India; Gupta C., Christ University, School of Commerce, Finance and Accountancy, 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 An efficient methodology for resolving uncertain spatial references in text documents Subject The topic of the resource Fuzzy Extraction Resolving and Clustering; Fuzzy Logic; Information Retrieval; Spatial Uncertainty Description An account of the resource In recent decades, all the documents maintained by the industries are getting transformed into soft copies in either structured documents or as an e-copies. In text document processing, there is a number of ways available to extract the raw data. As the accuracy in finding the spatial data is crucial, this domain invites various research solutions that provide high accuracy. In this article, the Fuzzy Extraction, Resolving, and Clustering (FERC) architecture is proposed which uses fuzzy logic techniques to identify and cluster uncertain textual spatial reference. When the text corpus is queried with a spatial-keyword, FERC returns a set of relevant documents sorted in view of the fuzzy pertinence score. Any two documents may be compared in light of the spatial references that exist in them and their fuzzy similarity score is presented. This enables finding the degree to which the two documents speak about a specified location. The proposed architecture provides a better result set to the user, unlike a Boolean search where the document is either rated relevant or irrelevant. Copyright 2020, IGI Global. Copying or distributing in print or electronic forms without written permission of IGI Global is prohibited. Creator An entity primarily responsible for making the resource Raja K.; Kanagavalli V.R.; Nizar Banu P.K.; Kannan K. Source A related resource from which the described resource is derived International Journal of Service Science, Management, Engineering, and Technology, Vol-11, No. 3, pp. 1-17. 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 2020-01-01 Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.4018/IJSSMET.2020070101" target="_blank" rel="noreferrer noopener">https://doi.org/10.4018/IJSSMET.2020070101</a> <a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85086916326&doi=10.4018%2FIJSSMET.2020070101&partnerID=40&md5=42c563d7eeab69fa44b464df8eed1300" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85086916326&doi=10.4018%2fIJSSMET.2020070101&partnerID=40&md5=42c563d7eeab69fa44b464df8eed1300</a> Rights Information about rights held in and over the resource Restricted Access Relation A related resource ISSN: 1947959X 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 Raja K., Dhaanish Ahmed College of Engineering, Chennai, India; Kanagavalli V.R., Sri Sai Ram Engineering College, Chennai, India; Nizar Banu P.K., Christ University (Deemed), Bangalore, India; Kannan K., Audisankara College of Engineering and Technology, Nellore, 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 An Efficient Multi-Modal Classification Approach for Disaster-related Tweets Subject The topic of the resource Convolution Neural Network; Deep Learning; Disaster Tweet; Gated Recurrent Unit; Late Fusion; VGG-16 Description An account of the resource Owing to the unanticipated and thereby treacherous nature of disasters, it is essential to gather necessary information and data regarding the same on an urgent basis; this helps to get a detailed overview of the situation and helps humanitarian organizations prioritize their tasks. In this paper, "An Efficient Multi-Modal Classification Approach for Disaster-related Tweets,"the proposed framework based on Deep Learning to classify disaster-related tweets by analyzing text and image contents. The approach is based on Gated Recurrent Unit (GRU) and GloVe Embedding for text classification and VGG-16 network for image classification. Finally, a combined model is proposed using both text and image modules by the Late Fusion Technique. This portrays that the proposed multi-modal system performs significantly well in classifying disaster-related content. 2022 IEEE. Creator An entity primarily responsible for making the resource Mondal A.; Kesan A.; Rodrigues A.; George J. Source A related resource from which the described resource is derived IEEE International Conference on Distributed Computing and Electrical Circuits and Electronics, ICDCECE 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/ICDCECE53908.2022.9792951" target="_blank" rel="noreferrer noopener">https://doi.org/10.1109/ICDCECE53908.2022.9792951</a> <a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85133428851&doi=10.1109%2FICDCECE53908.2022.9792951&partnerID=40&md5=688a26df6821cad4e8d36801c58adb26" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85133428851&doi=10.1109%2fICDCECE53908.2022.9792951&partnerID=40&md5=688a26df6821cad4e8d36801c58adb26</a> Rights Information about rights held in and over the resource Restricted Access Relation A related resource ISBN: 978-166548316-2 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 Mondal A., Deemed to Be University, Department of Data Science Christ, India; Kesan A., Deemed to Be University, Department of Data Science Christ, India; Rodrigues A., Deemed to Be University, Department of Data Science Christ, India; George J., Deemed to Be University, Department of Data Science Christ, 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 An efficient nonlinear access policy based on quadratic residue for ciphertext policy attribute based encryption Subject The topic of the resource Access policy; Ciphertext policy attribute based encryption; Encryption; Non-linear secret- sharing scheme; Quadratic residue Description An account of the resource Ciphertext Policy Attribute Based Encryption (CP-ABE) is an efficient encryption scheme as data owner is making decision about the attributes that can access his data and adding that attributes to access structure while encrypting that message. Most existing CP-ABE scheme are based traditional access structure such as linear secret sharing scheme which incur large ciphertext size and linearly increases according to the number of attributes. And those schemes have more computational overhead for calculating share for each attribute and when recalculating secret in data user side. In this paper, we propose a different secret sharing scheme that can be used in access policy for CP-ABE which will reduce the size of ciphertext and there by communication overhead. Furthermore, the proposed scheme reduced computational overhead of secret sharing scheme and improved overall efficiency of the scheme. 2021 Little Lion Scientific Creator An entity primarily responsible for making the resource Ancy P.R.; Krishna A.V.N. Source A related resource from which the described resource is derived Journal of Theoretical and Applied Information Technology, Vol-99, No. 21, pp. 5050-5057. Publisher An entity responsible for making the resource available Little Lion Scientific 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-s2.0-85119290222&partnerID=40&md5=8f7d007f43287a61c7b37bc79c774a75" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85119290222&partnerID=40&md5=8f7d007f43287a61c7b37bc79c774a75</a> Rights Information about rights held in and over the resource Restricted Access Relation A related resource ISSN: 19928645 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 Ancy P.R., CSE Dept, School of Engineering and Technology, CHRIST (Deemed to be University), Bangalore, India; Krishna A.V.N., CSE Dept, School of Engineering and Technology, 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 An efficient optimization based lung cancer pre-diagnosis system with aid of feed forward back propagation neural network ( FFBNN) Subject The topic of the resource Department of Computer Science and Engineering Description An account of the resource Vol. 56. No.2, October. ISSN: 1817-3195 Creator An entity primarily responsible for making the resource Balachandran K Source A related resource from which the described resource is derived <a href="https://www.researchgate.net/publication/281309348_An_Efficient_Optimization_Based_Lung_Cancer_Pre-Diagnosis_System_with_aid_of_Feed_Forward_Back_Propagation_Neural_Network_FFBNN" target="_blank" title="Click Here" rel="noreferrer noopener">https://www.researchgate.net/publication/281309348_An_Efficient_Optimization_Based_Lung_Cancer_Pre-Diagnosis_System_with_aid_of_Feed_Forward_Back_Propagation_Neural_Network_FFBNN</a> Publisher An entity responsible for making the resource available Journal of Theoretical and Applied Information Technology Date A point or period of time associated with an event in the lifecycle of the resource 2013 Language A language of the resource English Type The nature or genre of the resource Article 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 An efficient optimization based lung cancer pre-diagnosis system with aid of feed forward back propagation neural network (FFBNN) Subject The topic of the resource Artificial bee colony (ABC) algorithm; Dimensionality reduction; Feed forward back propagation neural network (FFBNN); Risk factor and symptoms Description An account of the resource World Health Organization (WHO) reports that worldwide 7.6 million deaths are caused by cancer each year. Uncontrollable cell development in the tissues of the lung is called as lung cancer. These uncontrollable cells restrict the growth of healthy lung tissues. If not treated, this growth can spread beyond the lung in the nearby tissue called metastasis and, form tumors. In order to preserve the life of the people who are suffered by the lung cancer disease, it should be pre-diagonized. So there is a need of pre diagnosis system for lung cancer disease which should provide better results. The proposed lung cancer prediagnosis technique is the combination of FFBNN and ABC. By using the Artificial Bee Colony (ABC) algorithm, the dimensionality of the dataset is reduced in order to reduce the computation complexity. Then the risk factors and the symptoms from the dimensional reduced dataset are given to the FFBNN to accomplish the training process. In order to get higher accuracy in the prediagnosis process, the FFBNN parameters are optimized using ABC algorithm. In the testing process, more data are given to well trained FFBNN-ABC to validate whether the given testing data predict the lung disease perfectly or not. 2005-2013 JATIT & LLS.All rights reserved. Creator An entity primarily responsible for making the resource Balachandran K.; Anitha R. Source A related resource from which the described resource is derived Journal of Theoretical and Applied Information Technology, Vol-56, No. 2, pp. 263-271. Publisher An entity responsible for making the resource available Asian Research Publishing Network (ARPN) Date A point or period of time associated with an event in the lifecycle of the resource 2013-01-01 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-s2.0-84886942617&partnerID=40&md5=0c14203eaf9e4f0952bd51864fff525d" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-84886942617&partnerID=40&md5=0c14203eaf9e4f0952bd51864fff525d</a> Rights Information about rights held in and over the resource Restricted Access Relation A related resource ISSN: 19928645 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 Balachandran K., Department of Computer Science and Engineering, Christ University, Bengaluru, India; Anitha R., Department of Master of Computer Applications, K. S. Rangasamy College of Technology, Tiruchengode, Tamilnadu, 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 An Efficient Preprocessing Step for Retinal Vessel Segmentation via Optic Nerve Head Exclusion Subject The topic of the resource Fundus image enhancement; Optic nerve head; Preprocessing; Retinal vessel segmentation Description An account of the resource Retinal vessel segmentation plays a significant role for accurate diagnostics of ophthalmic diseases. In this paper, a novel preprocessing step for retinal vessel segmentation via optic nerve head exclusion is proposed. The idea relies in the fact that the exclusion of brighter optic nerve head prior to contrast enhancement process can better enhance the blood vessels for accurate segmentation. A histogram based intensity thresholding scheme is introduced in order to extract the optic nerve head which is then replaced by its surrounding background pixels. The efficacy of the proposed preprocessing step is established by segmenting the retinal vessels from the optic nerve head excluded image enhanced using CLAHE algorithm. Experimental works are carried out with fundus images from DRIVE database. It shows that 1%3% of improvement in terms of TPR measure is achieved. 2019, Springer Nature Singapore Pte Ltd. Creator An entity primarily responsible for making the resource Wahid F.F.; Raju G. Source A related resource from which the described resource is derived Communications in Computer and Information Science, Vol-1046, pp. 228-239. 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 2019-01-01 Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.1007/978-981-13-9942-8_22" target="_blank" rel="noreferrer noopener">https://doi.org/10.1007/978-981-13-9942-8_22</a> <a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85070225817&doi=10.1007%2F978-981-13-9942-8_22&partnerID=40&md5=eb318c9659a6f21fa9fa481e480fffa4" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85070225817&doi=10.1007%2f978-981-13-9942-8_22&partnerID=40&md5=eb318c9659a6f21fa9fa481e480fffa4</a> Rights Information about rights held in and over the resource Restricted Access Relation A related resource ISSN: 18650929; ISBN: 978-981139941-1 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 Wahid F.F., Department of Information Technology, Kannur University, Kannur, 670567, Kerala, India; Raju G., Department of CSE, Faculty of Engineering, Christ (Deemed to be University), Bengaluru, 560764, 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 An efficient privacy-preserving model based on OMFTSA for query optimization in crowdsourcing Subject The topic of the resource crowdsourcing; moth flame-based tunicate swarm algorithm; query; select and join queries Description An account of the resource Crowdsourcing is now one of the most important and transformative paradigms, with great success in a variety of application tasks. Crowdsourcing obtains knowledge and information to solve cognitive or intelligence-intensive tasks from an evolving group of participants via the Internet. Unfortunately, providing a hard privacy guarantee and query optimization is incompatible when a higher task acceptance rate needs to be accomplished and this case is common in most existing crowdsourcing solutions. The state of art systems suffered from different complexities such as lack of crowdsourcing optimization techniques, increased cost, latency, security, and scalability issues. In this paper, we have proposed a crowdsourcing model to optimize the cost and latency, issues that occur while query optimization using the Moth Flame and Tunicate Swarm Algorithm (MF-TSA). The TSA algorithm is added to the MF algorithm to enhance its exploitation capability and yield fast convergence. The data privacy concerns of the worker and the requestor are addressed using homomorphic encryption that simultaneously enhances the efficiency of the crowdsourcing framework. The main aim of this work is to optimize the cost and latency for query plan selection along with security. Initially, the homomorphic encryption model is used to encrypt the data. In query design, two kinds of crowd-controlled administrators, that is, Crowd Powered Selection (CSelect) and Crowd Powered Join (CJoin) are connected for assessing query. The proposed framework utilizes MF-TSA to optimize the selection and join queries with low cost and latency. Finally, the experimental results demonstrate better query optimization performance than other existing algorithms such as sequential, parallel, and CrowdOp. 2021 John Wiley & Sons Ltd. Creator An entity primarily responsible for making the resource Renukadevi M.; Anita E.A.M.; Mohana Geetha D. Source A related resource from which the described resource is derived Concurrency and Computation: Practice and Experience, Vol-33, No. 24 Publisher An entity responsible for making the resource available John Wiley and Sons Ltd 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/10.1002/cpe.6447" target="_blank" rel="noreferrer noopener">https://doi.org/10.1002/cpe.6447</a> <a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85109413408&doi=10.1002%2Fcpe.6447&partnerID=40&md5=287f53542d164da307755f889245bb4b" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85109413408&doi=10.1002%2fcpe.6447&partnerID=40&md5=287f53542d164da307755f889245bb4b</a> Rights Information about rights held in and over the resource Restricted Access Relation A related resource ISSN: 15320626; CODEN: CCPEB 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 Renukadevi M., Department of CSE, S.A. Engineering College, Chennai, India; Anita E.A.M., Department of CSE, School of Engineering and Technology, CHRIST University, Bengaluru, India; Mohana Geetha D., Department of Electronics and Communication Engineering, Sri Krishna College of Engineering and Technology, Coimbatore, 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 An Efficient Quantum Transfer Learning for Cancer Prediction Using Tumour Markers: New Era of Computer in Medical Subject The topic of the resource accuracy; antigen; biomarkers; diagnosis; ovarian cancer; prediction; prognosis; Quantum learning; transfer learning; tumour Description An account of the resource Ovarian cancer prediction models or algorithms estimate a person's risk of getting the disease based on different variables, such as their medical history, genetics, and biomarkers. Early identification and intervention will enhance patient successive diagnosis outcomes. Tumour markers are chemicals frequently detected in higher concentrations than usual in cancer patient's blood, urine, or tissues. They could be certain chemicals or proteins linked to the presence of tumours or cancer kinds. Tumour markers are employed for diagnosis, prognosis, and treatment response monitoring. Applying information or models from one quantum job to enhance the performance of another requires quantum transfer learning. Transferring knowledge from one domain to another seeks to increase learning effectiveness in novel quantum contexts. The main goal of efficient Quantum Transfer Learning (QTL) is to minimize the resources (computer power, data, or time) necessary to transfer between tasks successfully. In this research work, QTL is used to predict Ovarian Cancer (OC) with the assistance of biomarkers. The Quantum Transfer Learning- Ovarian Cancer (QTL-OC) achieves 93.78% accuracy and outperforms the existing techniques. 2023 IEEE. Creator An entity primarily responsible for making the resource Narendran M.; Andi H.K.; Sharma D.K.; Amarendra K.; Uma S.; Poonia R.C. Source A related resource from which the described resource is derived 2023 International Conference on Communication, Security and Artificial Intelligence, ICCSAI 2023, pp. 432-437. 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 2023-01-01 Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.1109/ICCSAI59793.2023.10421549" target="_blank" rel="noreferrer noopener">https://doi.org/10.1109/ICCSAI59793.2023.10421549</a> <a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85186679596&doi=10.1109%2FICCSAI59793.2023.10421549&partnerID=40&md5=b01a0309ee6aed345006b0543ea25a9a" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85186679596&doi=10.1109%2fICCSAI59793.2023.10421549&partnerID=40&md5=b01a0309ee6aed345006b0543ea25a9a</a> Rights Information about rights held in and over the resource Restricted Access Relation A related resource ISBN: 979-835036996-0 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 Narendran M., Kcg College of Technology, Department of Information Technology, Tamil Nadu, Chennai, India; Andi H.K., Asia Metropolitan University, Centre for Postgraduate Studies, Malaysia; Sharma D.K., Jaypee University of Engineering and Technology, Department of Mathematics, Madhya Pradesh, Guna, 473226, India; Amarendra K., Koneru Lakshmaiah Education Foundation, Department of Computer Science and Engineering, Andhra Pradesh, Vaddeswaram, 522502, India; Uma S., Dhanalakshmi Srinivasan College of Engineering and Technology, Department of Computer Science and Engineering, Tamil Nadu, Mamallapuram, India; Poonia R.C., Christ (Deemed to Be University), Department of Computer Science, Delhi-NCR, Uttar Pradesh, Ghaziabad, 201003, India