521 20 16488 Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Faculty Publications Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Creator An entity primarily responsible for making the resource Poonia, Ramesh Chandra; Upreti, Kamal; Gaur, Sonali; Hundekari, Sheela; Parashar, Jyoti; Khanna, Smriti; Ghosh, Soumi; Yadav, Anup Lal; Radhakrishnan, G.V.; Ga-B?aszczykowska, Agnieszka Title A name given to the resource Journal of Discrete Mathematical Sciences & Cryptography Date A point or period of time associated with an event in the lifecycle of the resource 01-01-2026 Source A related resource from which the described resource is derived Journal of Discrete Mathematical Sciences and Cryptography;Volume;29;Issue;2;pp.iii-iv Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.47974/JDMSC-29-2-B-Foreword" target="_blank" rel="noreferrer noopener">https://doi.org/10.47974/JDMSC-29-2-B-Foreword</a> <a href="https://www.scopus.com/pages/publications/105032479614?origin=resultslist" target="_blank" rel="noreferrer noopener">https://www.scopus.com/pages/publications/105032479614?origin=resultslist</a> Coverage The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant Poonia R.C., Department of Computer Science, CHRIST (Deemed to be University, Uttar Pradesh, Ghaziabad, 201003, India; Upreti K., Department of Computer Science, CHRIST (Deemed to be University, Uttar Pradesh, Ghaziabad, 201003, India; Gaur S., Department of Management EMPI Business School Chhatarpur, New Delhi, 110074, India; Hundekari S., School of Computer Applications Pimpri, Chinchwad University, Maharashtra, Pune, 412106, India; Parashar J., Department of Computer Science and Engineering Panipat Institute of Engineering and Technology, PIET, Haryana, Panipat, 132102, India; Khanna S., School of Management Sciences Apeejay, Stya University Sohna Palwal Road Sohna, 122103, Haryana, Gurugram, India; Ghosh S., Department of Information Technology Maharaja Agrasen Institute of Technology Guru Gobind, Singh Indraprastha University Dwarka, Delhi, 110078, India; Yadav A.L., Department of Computer Science and Engineering, CGC University Mohali, Punjab, 140307, India; Radhakrishnan G.V., Kalinga School of Management, Kalinga Institute of Industrial Technology, Odisha, Bhubaneswar, 751024, India; Ga-B?aszczykowska A., Department of Law War Studies University, Warsaw, 00-910, Poland Publisher An entity responsible for making the resource available Taru Publications Relation A related resource ISSN: 9720529; Language A language of the resource English Type The nature or genre of the resource Editorial Rights Information about rights held in and over the resource Restricted Access; Hardcopy may be available in the library Format The file format, physical medium, or dimensions of the resource online Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Faculty Publications Book Faculty Publications- Book Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Creator An entity primarily responsible for making the resource Poonia, Ramesh Chandra; Upreti, Kamal; Khan, Mohammad S. Title A name given to the resource Smart Cyber-Physical Systems: Innovations and Real-World Implications Date A point or period of time associated with an event in the lifecycle of the resource 01-01-2025 Source A related resource from which the described resource is derived Smart Cyber-Physical Systems: Innovations and Real-World Implications;pp.1-363 Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.1201/9781003542513" target="_blank" rel="noreferrer noopener">https://doi.org/10.1201/9781003542513</a> <a href="https://www.scopus.com/pages/publications/105017492401?origin=resultslist" target="_blank" rel="noreferrer noopener">https://www.scopus.com/pages/publications/105017492401?origin=resultslist</a> Coverage The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant Poonia R.C., CHRIST (Deemed to be University), Delhi NCR, India; Upreti K., Department of Computer Science, School of Sciences, CHRIST (Deemed to be University), Delhi NCR, India; Khan M.S., East Tennessee State University, United States Description An account of the resource Smart cyber-physical systems (SCPS) are revolutionizing the interaction between the physical and digital realms, driving innovation across diverse fields. This book provides an extensive overview of cutting-edge SCPS technologies, highlighting their applications, challenges, and transformative potential. Designed for researchers, professionals, and students, it offers foundational insights and advanced applications in urban planning, healthcare, transportation, finance, and cybersecurity. It also bridges the gap between theory and practice through real-world case studies and in-depth analysis, showcasing how SCPS address critical global challenges. This book: Provides a comprehensive introduction to SCPS, their components, and their applications in various domains and explores their role in enabling sustainable smart cities and urban planning Provides advanced SCPS-based solutions for optimizing supply chain logistics and route planning and real-world applications of SCPS in healthcare, including wearable technology and remote patient monitoring, and financial modeling, comparing investment indices using advanced techniques Discusses the integration of artificial intelligence and machine learning in autonomous vehicle systems and transportation Analyzes cybersecurity challenges in cryptocurrency and blockchain ecosystems Focuses on innovations in energy management, including smart grids and sustainable practices powered by SCPS, and explores adaptive human-machine interaction frameworks for enhanced decision-making. This book serves as a vital resource for understanding the transformative power of SCPS and inspires further research and development in this dynamic and rapidly evolving field. 2026 selection and editorial matter, Ramesh Chandra Poonia, Kamal Upreti and Mohammad S. Khan. All rights reserved. Publisher An entity responsible for making the resource available CRC Press Relation A related resource ISBN: 978-100354251-3; 978-103289293-1; Language A language of the resource English Type The nature or genre of the resource Book Rights Information about rights held in and over the resource Restricted Access; Hardcopy may be available in the library Format The file format, physical medium, or dimensions of the resource online Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Faculty Publications Article Faculty Publications -Articles Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Creator An entity primarily responsible for making the resource Poonia, Ramesh Chandra; Upreti, Kamal; Singh, Nidhi; Kesarwani, Jyoti; Alam, Mohammad Shabbir Title A name given to the resource An Efficient Detection of Suspicious Objects from Dynamic Video Surveillance by Fusion-based Multiview Deep Learning Techniques Date A point or period of time associated with an event in the lifecycle of the resource 01-01-2025 Source A related resource from which the described resource is derived Journal of Mobile Multimedia;Volume;21;Issue;1;pp.1-26 Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.13052/jmm1550-4646.2111" target="_blank" rel="noreferrer noopener">https://doi.org/10.13052/jmm1550-4646.2111</a> <a href="https://www.scopus.com/pages/publications/105003927796?origin=resultslist" target="_blank" rel="noreferrer noopener">https://www.scopus.com/pages/publications/105003927796?origin=resultslist</a> Coverage The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant Poonia R.C., Department of Computer Science, Christ University, NCR, Delhi, India; Upreti K., Department of Computer Science, Christ University, NCR, Delhi, India; Singh N., G. D. Goenka University, Haryana, Gurgaon, India; Kesarwani J., United College of Engineering and Research, Uttar Pradesh, Prayagraj, India; Alam M.S., Department of Computer Science, College of Engineering and Computer Science, Jazan University, Jazan, Saudi Arabia Description An account of the resource Real-time detections of suspicious objects are needed to identify for finding criminal activities and are used in immediate alert systems for public safety applications. Video surveillance systems use live, closed-circuit televisions (live CCTVs) for dynamic video capturing of objects. Finding criminal activities over the dynamic video data is an emerging surveillance problem. The deep learning techniques are tedious for detecting suspicious movable objects and criminal activities. YOLO (You Only Look Once) gives more prominent movable video object detection accuracy than conventional deep models, like Convolutional Neural Network (CNN), 3D CNN, and Convolutional LSTM. State-of-the-art YOLO models, YOLOv8n, YOLOv8s, and YOLOv8l, are emphasized for extracting and detecting object motion detection from the dynamic video. YOLO models use single-view deep learning to classify or detect objects. These models limit the accuracy of the detection of complex and dynamic objects of dynamic video data. This paper presents the Fusion-based Multiview deep learning techniques to overcome this issue. The experimental study demonstrates that the proposed methodology efficiently detects suspicious data objects more than the single-view deep models. 2025 River Publishers. Subject The topic of the resource Deep learning; fusion; object detection; video surveillance; YOLO Publisher An entity responsible for making the resource available River Publishers Relation A related resource ISSN: 15504646; Language A language of the resource English Type The nature or genre of the resource Article Rights Information about rights held in and over the resource All Open Access; Gold Open Access Format The file format, physical medium, or dimensions of the resource online https://archives.christuniversity.in/files/original/95eb351ac750e396228651871c966ba1.jpg 0b6dfeeadbd8dbf97f5aef738454f6b9 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 Lightning Cards! / Subject The topic of the resource Computer Science Description An account of the resource Patent Number: 202141060863, Applicant: Bundela Disha Hitenbhai. The present system or invention, Lightning Cards, is an online multiplayer card game that utilises computer vision and machine learning techniques in order to deliver a fast-paced reactions card game unheard of not only online, but also as a physical card game. The present system is enabled by way of ML tools to recognise the hand keypoint landmarks and other algorithms for recognising the actual hand gesture. Creator An entity primarily responsible for making the resource Poonia, Ramesh Chandra. Source A related resource from which the described resource is derived <a href="https://drive.google.com/file/d/1vDvJBwBPrki5-h1kwnOUSfqqwcSuiNu_/view" target="_blank" title="Lightning Cards!" rel="noreferrer noopener">https://drive.google.com/file/d/1vDvJBwBPrki5-h1kwnOUSfqqwcSuiNu_/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 2022-05-13 Language A language of the resource English Type The nature or genre of the resource Patent https://archives.christuniversity.in/files/original/1cc244c220ebc2266098f21c8299ec09.jpg 0b6dfeeadbd8dbf97f5aef738454f6b9 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 Atendo: The portable attendence recorder / Subject The topic of the resource Computer Science Description An account of the resource Patent Number: 202241019881, Applicant: Kevin Benny. Attendance is the fact of being present or absent at a place or an event. One of the most basic things to understand and analyse the response of an event is by recording the attendance of the event. By tracking the sessions attended by the attendees and how long the attendees stay in the event, it is possible to derive a clear picture of how engaged the event was. Attendance monitoring is very important for examining the success or failure of an event. Tracking session attendance is an easy and accurate way to gather attendee feedback and translate this information into useful data. Creator An entity primarily responsible for making the resource Poonia, Ramesh Chandra. Source A related resource from which the described resource is derived <a href="https://drive.google.com/file/d/1WHuJBOU29HmWqeaKQX8dDqty3o1R0zyD/view" target="_blank" title="Atendo: The portable attendence recorder /" rel="noreferrer noopener">https://drive.google.com/file/d/1WHuJBOU29HmWqeaKQX8dDqty3o1R0zyD/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 2022-05-18 Language A language of the resource English Type The nature or genre of the resource Patent https://archives.christuniversity.in/files/original/ad840393d73069d63541c76c32d56049.jpg 0b6dfeeadbd8dbf97f5aef738454f6b9 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 Vimana / Subject The topic of the resource Communication Description An account of the resource Patent Number: 202241030155, Applicant: Ramesh Chandra Poonia. Drone navigation works by building a map of its surroundings while tracking its position within the map. This allows the drone to demonstrate positional accuracy (the global average URE (User error rate) across all satellites) of < 0.643 m (2.1 ft.) 95% of the lime using the Global Positioning System (GPS). The problem with this technology is twofold. It deploys only L band communication in practice. Creator An entity primarily responsible for making the resource Poonia, Ramesh Chandra. Source A related resource from which the described resource is derived <a href="https://drive.google.com/file/d/17J1tTJKPAkE5tM425Sm7TBDFkRu1XNOX/view" target="_blank" title="Vimana /" rel="noreferrer noopener">https://drive.google.com/file/d/17J1tTJKPAkE5tM425Sm7TBDFkRu1XNOX/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 2022-05-19 Language A language of the resource English Type The nature or genre of the resource Patent https://archives.christuniversity.in/files/original/73f375705e40042161a309724fae7533.jpg 0b6dfeeadbd8dbf97f5aef738454f6b9 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 3D painting for fracture treatment / Subject The topic of the resource Bio-Medical Engineering Description An account of the resource Patent Number: 202241048127, Applicant: Ramesh Chandra Poonia. The effect of technological advancements has made an impact on the way medical applications are used in the treatment of fracture. The possibility of medical application and technology has immensely grown, and 3D printing and its applications in medical sciences are much explored and found to be acceptable and applicable financially and technically during recent years. While 3D technology is used in diagnosis, 3D printing technology is useful for making treatment and rehabilitation tools. Creator An entity primarily responsible for making the resource Poonia, Ramesh Chandra. Source A related resource from which the described resource is derived <a href="https://drive.google.com/file/d/16piPXfHv88qR9BcLxRHmNCEA0FwZue3Q/view" target="_blank" title="3D painting for fracture treatment /" rel="noreferrer noopener">https://drive.google.com/file/d/16piPXfHv88qR9BcLxRHmNCEA0FwZue3Q/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 2022-05-22 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 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 Performance Evaluation of Predicting IoT Malicious Nodes Using Machine Learning Classification Algorithms Subject The topic of the resource Classification Algorithms; Internet of Things (IoT); Machine Learning; Malicious Nodes; Network Security Description An account of the resource The prediction of malicious nodes in Internet of Things (IoT) networks is crucial for enhancing network security. Malicious nodes can significantly impact network performance across various scenarios. Machine learning (ML) classification algorithms provide binary outcomes ("yes" or "no") to accurately identify these nodes. This study implements various classifier algorithms to address the problem of malicious node classification, using the SensorNetGuard dataset. The dataset, comprising 10,000 records with 21 features, was preprocessed and used to train multiple ML models, including Logistic Regression, Decision Tree, Naive Bayes, K-Nearest Neighbors (KNN), and Support Vector Machine (SVM). Performance evaluation of these models followed the ML workflow, utilizing Python libraries such as scikit-learn, Seaborn, Matplotlib, and Pandas. The results indicated that the Naive Bayes classifier outperformed others with an accuracy of 98.1%. This paper demonstrates the effectiveness of ML classifiers in detecting malicious nodes in IoT networks, providing a robust predictive model for real-time application. The SensorNetGuard dataset is available on the IEEE data port and Kaggle platform. 2024, Prof.Dr. ?skender AKKURT. All rights reserved. Creator An entity primarily responsible for making the resource Poorana S.S.; Wilfred B.N.R.; Rajesh K.R.; Karthik S. Source A related resource from which the described resource is derived International Journal of Computational and Experimental Science and Engineering, Vol-10, No. 3, pp. 341-349. Publisher An entity responsible for making the resource available Prof.Dr. ?skender AKKURT 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/10.22399/ijcesen.395" target="_blank" rel="noreferrer noopener">https://doi.org/10.22399/ijcesen.395</a> <a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85201698353&doi=10.22399%2Fijcesen.395&partnerID=40&md5=5c1a7dfb66ae39d12ab225d6adf38ab9" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85201698353&doi=10.22399%2fijcesen.395&partnerID=40&md5=5c1a7dfb66ae39d12ab225d6adf38ab9</a> Rights Information about rights held in and over the resource Restricted Access Relation A related resource ISSN: 21499144 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 Poorana S.S., Dr. N.G.P. Arts and Science College, Department of Computer Applications, Tamil Nadu, Coimbatore, 641048, India; Wilfred B.N.R., University of Tech. and Applied Sciences, College of Computing and Information Sciences, Ibri, Oman; Rajesh K.R., Christ University, Department of Computer Science, Karnataka, 560029, India; Karthik S., Kristu Jayanti College, Department of Computer Science (PG), Karnataka, 560077, 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 Additively Composite Model Objective Function for Routing Protocol for Low-Power and Lossy Network Protocol Subject The topic of the resource bottleneck routing; IoT; load balancing; metrics; objective function; RPL Description An account of the resource The Internet of Things (IoT) networks always operate within the context of diverse and constrained characteristics of the devices. Low-Power and Lossy Networks (LLNs) constitute a network architecture commonly utilized in IoT application deployments, facilitating networking and the establishment of paths for data transmission. The Routing Protocol for Low-Power and Lossy Networks (RPL) demonstrates promising capabilities for LLN network operations, supporting IPv4 and IPv6-enabled services. The RPL protocol constructs a Destination Oriented Directed Acyclic Graph (DODAG) logical routing topology based on defined Objective Function (OF) metrics. Routing operations within the DODAG utilize these metrics and constraints to select parent nodes and calculate optimal routes between two nodes. Standardized OFs have traditionally focused on either parent node selection or routing objectives within the DODAG, often treating load balancing and bottleneck optimization separately. However, their combined impact on RPL's effectiveness has been overlooked. This paper introduces an Adaptively Composite Objective Function (AC-OF) approach that considers the combined objectives of DODAG load balancing and optimized routing operations. Through simulation evidence, the paper presents improved network parameters. The AC-OF implementation brings out significant results in the form of a balanced DODAG topology and it has good impacts on data transmission, control overhead messages, parent switching, delay, energy consumption, and node lifetime. 2024 Totem Publisher, Inc. All rights reserved. Creator An entity primarily responsible for making the resource Poorana Senthilkumar S.; Wilfred Blessing N.R.; Subramani B.; Rajesh Kanna R. Source A related resource from which the described resource is derived International Journal of Performability Engineering, Vol-20, No. 5, pp. 300-311. Publisher An entity responsible for making the resource available Totem Publisher Inc. 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/10.23940/ijpe.24.05.p5.300311" target="_blank" rel="noreferrer noopener">https://doi.org/10.23940/ijpe.24.05.p5.300311</a> <a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85207487433&doi=10.23940%2Fijpe.24.05.p5.300311&partnerID=40&md5=38e25d24db663efffff51e2b7756dd53" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85207487433&doi=10.23940%2fijpe.24.05.p5.300311&partnerID=40&md5=38e25d24db663efffff51e2b7756dd53</a> Rights Information about rights held in and over the resource Restricted Access Relation A related resource ISSN: 9731318 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 Poorana Senthilkumar S., Department of Computer Applications, Dr. N.G.P. Arts and Science College, Tamil Nadu, India; Wilfred Blessing N.R., College of Computing and Information Sciences, University of Technology and Applied Sciences, Ibri, Oman; Subramani B., Department of Computer Science, SNMV College of Arts and Science, Tamil Nadu, India; Rajesh Kanna R., Department of Computer Science, Christ University, Karnataka, India Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Faculty Publications Conference Paper Faculty Publications- Conference Papers Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Creator An entity primarily responsible for making the resource Poorani, S.; Singh, Komal; Priya Stella Mary, I.; Brinda, P.; Srimathi, S.; Jegajothi, B. Title A name given to the resource Robust Rice Leaf Disease Detection using Advanced Preprocessing and Deep CNNs for Class Imbalance Resolution Date A point or period of time associated with an event in the lifecycle of the resource 01-01-2025 Source A related resource from which the described resource is derived International Conference on Intelligent Systems and Computational Networks, ICISCN 2025; Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.1109/ICISCN64258.2025.10934702" target="_blank" rel="noreferrer noopener">https://doi.org/10.1109/ICISCN64258.2025.10934702</a> <a href="https://www.scopus.com/pages/publications/105002680513?origin=resultslist" target="_blank" rel="noreferrer noopener">https://www.scopus.com/pages/publications/105002680513?origin=resultslist</a> Coverage The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant Poorani S., Kongu Engineering College, Department of Computer Technology, Perundurai, Erode, India; Singh K., Babasaheb Bhimrao Ambedkar University, Lucknow, India; Priya Stella Mary I., Christ University, Department of Computer Science, Yeshwanthpur Campus, Bangalore, India; Brinda P., Veltech Hightech Dr. Rangarajan Dr. Sakunthala Engineering College, Department of Computer Science and Engineering, Avadi, Chennai, India; Srimathi S., Saveetha School of Engineering, Simats, Department of Bio Technology, Chennai, India; Jegajothi B., Srs Tech Solutions, Chennai, India Description An account of the resource This study addresses the growing challenges posed by plant diseases, particularly in the rice industry, which is vital for many communities. The research propose a robust framework that integrates Deep Convolutional Neural Networks (Deep CNN) with advanced preprocessing techniques to identify rice leaf diseases, including Brown Spot, Leaf Blast, Hispa, and healthy leaves. Our approach employs normalization to enhance convergence during training and data augmentation to improve model generalizability. Additionally, implement the Synthetic Minority Over-sampling Technique (SMOTE) to create synthetic samples for under-represented classes, addressing class imbalance within the dataset. Experimental results demonstrate the model's impressive accuracy, achieving 98.2% for Brown Spot, 97.5% for Leaf Blast, 94.3% for Hispa, and 96.8% for healthy leaves. Furthermore, our method outperforms established CNN architectures such as AlexNet, VGG16, and ResNet50, showcasing the effectiveness of sophisticated preprocessing in enhancing plant disease detection systems and supporting food security initiatives. 2025 IEEE. Subject The topic of the resource advanced preprocessing techniques; class imbalance resolution; data augmentation; deep convolutional neural network (deep CNN); rice leaf disease detection; synthetic minority over-sampling technique (SMOTE) Publisher An entity responsible for making the resource available Institute of Electrical and Electronics Engineers Inc. Relation A related resource ISBN: 979-833152924-6; Language A language of the resource English Type The nature or genre of the resource Conference paper Rights Information about rights held in and over the resource Restricted Access; Hardcopy may be available in the library Format The file format, physical medium, or dimensions of the resource online Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Conference Papers Conference Paper Faculty Publications- Conference Papers Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource A comprehensive investigation of the effect of mineral additives to bituminous concrete Subject The topic of the resource Bituminous concrete; Indirect tensile strength; Mineral additives; Tensile strength ratio Description An account of the resource Research efforts to employ sustainable materials for road construction have been on the rise in recent years. In particular, the use of polymers as additives in asphalt mix has been actively explored by several researchers. Bituminous pavementsnormally constructed in India, have increasing number of premature failures, due to increase in traffic density and noteworthy variations in road temperatures. The modified binders have proven to improve numerous properties of bituminous surfaces such as temperature susceptibility, fatigue life, creep, resistance to permanent deformation and rutting. The present study has focussed on the experimental investigations conducted to evaluate the influence of mineral additives, such as wollostonite and Rice Husk Ash (RHA) on Indirect Tensile Strength (ITS) and Tensile Strength Ratio (TSR) of bituminous concrete (BC)maintaining uniformity of aggregate properties.The results establish that the bituminous concrete blends modified using rice husk ash at 20% and wollostonite at 8%, with hydrated lime are most suitable for practical applications. 2021 Elsevier Ltd. All rights reserved. Creator An entity primarily responsible for making the resource Poorna Prajna S.; Anjum M.I.; Lakshmi P.S.; Gayathri G.; Beulah M.; Sudhir M.R. Source A related resource from which the described resource is derived Materials Today: Proceedings, Vol-46, pp. 714-721. 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 2021-01-01 Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.1016/j.matpr.2020.12.090" target="_blank" rel="noreferrer noopener">https://doi.org/10.1016/j.matpr.2020.12.090</a> <a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85112573754&doi=10.1016%2Fj.matpr.2020.12.090&partnerID=40&md5=fbbff06c49a7b052e0907c8636309310" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85112573754&doi=10.1016%2fj.matpr.2020.12.090&partnerID=40&md5=fbbff06c49a7b052e0907c8636309310</a> Rights Information about rights held in and over the resource Restricted Access Relation A related resource ISSN: 22147853 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 Poorna Prajna S., Civil Engineering Department, PESCE, Karnataka, Mandya, 571 401, India; Anjum M.I., Civil Engineering Department, GCE, Karnataka, Ramanagaram, 562159, India; Lakshmi P.S., Civil Engineering Department, PESCE, Karnataka, Mandya, 571 401, India; Gayathri G., Civil Engineering Department, ACSCE, Karnataka, Bengaluru, 560074, India; Beulah M., Civil Engineering Department, Christ University, Karnataka, Bengaluru, 560029, India; Sudhir M.R., Civil Engineering Department, Christ University, 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 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 Solid-state fermentation of pigment producing endophytic fungus Fusarium solani from Madiwala lake and its toxicity studies Subject The topic of the resource Antimicrobial; Antioxidant; Cytotoxicity; Endophytic fungus; Fusarium solani; Green synthesis; Natural colors; Pigment; Silver nanoparticles; Synthetic colors Description An account of the resource Several consumer products look enticing due to colors and there has been a demand for colors for various applications ever since human civilization started. Although in the primitive days, humans had used natural colors, the wake of the industrial revolution saw the excessive use of diverse types of synthetic colors. Although it looked very fancy initially, slowly scientists discovered the dangers of large-scale use of these colorants. The current demand is for natural colors, and hence, there is a scope for sources of natural colors from biosources. The present study involved the isolation of an endophytic fungus, Fusarium solani producing a red pigment from the polluted waters of Madiwala lake in Bangalore. The fungal extract showed good antimicrobial and moderate antioxidant properties. Cytotoxicity assays using brine shrimps proved negligible toxicity which is a positive trait for natural colorants for safer applications in industries. Media optimization and solid state fermentation were carried out to improve the yield of the fungal pigment and also to formulate a cheaper media for fungal multiplication and pigment production. Green synthesis of silver nanoparticles was also carried out with the fungal extract and the nanoparticles were characterized. Thus, the present study provides an option for the extraction of environment friendly natural colorant from the fungus F. solani for potential industrial applications. 2024 Bhoomika Prakash Poornamath, et al. Creator An entity primarily responsible for making the resource Poornamath B.P.; Sarojini S.; Jayaram S.; Biswas S.; Kaloor A.; Umesh M. Source A related resource from which the described resource is derived Journal of Applied Biology and Biotechnology, Vol-12, No. 2, pp. 264-272. Publisher An entity responsible for making the resource available Open Science Publishers LLP Inc. 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/10.7324/JABB.2024.143030" target="_blank" rel="noreferrer noopener">https://doi.org/10.7324/JABB.2024.143030</a> <a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85185946290&doi=10.7324%2FJABB.2024.143030&partnerID=40&md5=029a8e30a9f08c328888c27ad7d53d04" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85185946290&doi=10.7324%2fJABB.2024.143030&partnerID=40&md5=029a8e30a9f08c328888c27ad7d53d04</a> Rights Information about rights held in and over the resource All Open Access; Gold Open Access Relation A related resource ISSN: 2347212X | LS; 2023-2024; Vol-2; 0645-0646 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 Poornamath B.P., Department of Life Sciences, CHRIST (Deemed to be University), Karnataka, Bengaluru, India; Sarojini S., Department of Life Sciences, CHRIST (Deemed to be University), Karnataka, Bengaluru, India; Jayaram S., Department of Life Sciences, CHRIST (Deemed to be University), Karnataka, Bengaluru, India; Biswas S., Department of Life Sciences, CHRIST (Deemed to be University), Karnataka, Bengaluru, India; Kaloor A., Department of Life Sciences, CHRIST (Deemed to be University), Karnataka, Bengaluru, India; Umesh M., Department of Life Sciences, CHRIST (Deemed to be University), 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 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 Template based speech enhancement of disordered speech Subject The topic of the resource correlation coefficient; differently abled; Directly Radiated EL Noise (DREL); disordered speech; Electrolarynx (EL); F0 contour; Fundamental frequency - Pitch; K-measns algorithm; laryngectomy K-NN algrorithm; Larynx disorder; spectral subtraction; speech enhancement; speech intelligibility; speech naturalness; speech processing; Template matching algorithm Description An account of the resource In this paper, we have taken Electro-Larynx (EL) speech and have improved the speech quality, electro-larynx speech was improved in terms of naturalness and intelligibility by introducing variations in the F0-contour and template matching with correlation coefficient. Initially, we introduced two different speech signals, the first speech signal introduced was healthy speech signal and the second speech signal introduced was disordered speech signal. Here, the second speech signal, the disordered speech is taken as the EL speech. The fundamental frequency or pitch was extracted first from the two inputed speech signals, then the contour of each fundamental frequency was extracted from the two input speech signals. Using these extracted features of fundamental frequency the gender classification by K-means algorithm was instigated. The same process was implemented with F0 contour features which was extracted using K-NN algorithm. EL speech contains directly radiated electrolarynx noise (DREL). The noise was filtered out using spectral subtraction algorithm. Once DREL noise is removed from EL speech, the quality of the speech was greatly improved. Then EL enhanced speech signal is compared and mapped with healthy speech signal using template matching algorithm with the help of correlation coefficient, this improves the overall quality, that is the naturalness and intelligibity of the introduced disordered speech signal. This technique helps solve the major problem of speech faced by differently abled persons with larynx disorder. 2016 IEEE. Creator An entity primarily responsible for making the resource Poornima K.A.; Inbanila K. Source A related resource from which the described resource is derived Proceedings of IEEE International Conference on Circuit, Power and Computing Technologies, ICCPCT 2016 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 2016-01-01 Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.1109/ICCPCT.2016.7530254" target="_blank" rel="noreferrer noopener">https://doi.org/10.1109/ICCPCT.2016.7530254</a> <a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-84992124420&doi=10.1109%2FICCPCT.2016.7530254&partnerID=40&md5=771c8c03a7a4c853d9120b9470f254e5" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-84992124420&doi=10.1109%2fICCPCT.2016.7530254&partnerID=40&md5=771c8c03a7a4c853d9120b9470f254e5</a> Rights Information about rights held in and over the resource Restricted Access Relation A related resource ISBN: 978-150901277-0 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 Poornima K.A., Department of ECE, Christ University, Faculty of Engineering, Bangalore, India; Inbanila K., Department of ECE, Christ University, Faculty of Engineering, 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 Faculty Publications Article Faculty Publications -Articles Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Creator An entity primarily responsible for making the resource Poornima, G.S.; Prashanth, M.K.; Shanavaz, H.; Rajappa, Shwetha; Alharethy, Fahd; Kumar, K. Yogesh; Yadav, Krishna Kumar; Jeon, Byong-Hun; Raghu, M.S. Title A name given to the resource Plant extract aided synthesis of iron sulphide/nickel sulphide type-II heterostructure for photochemical CO2 reduction and simultaneous degradation of dyes Date A point or period of time associated with an event in the lifecycle of the resource 01-01-2025 Source A related resource from which the described resource is derived Journal of Environmental Chemical Engineering;Volume;13;Issue;2;Article No.;115854; Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.1016/j.jece.2025.115854" target="_blank" rel="noreferrer noopener">https://doi.org/10.1016/j.jece.2025.115854</a> <a href="https://www.scopus.com/pages/publications/85218268508?origin=resultslist" target="_blank" rel="noreferrer noopener">https://www.scopus.com/pages/publications/85218268508?origin=resultslist</a> Coverage The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant Poornima G.S., Department of Chemistry, New Horizon College of Engineering, Outer Ring Road, Bangalore, 560103, India; Prashanth M.K., Department of Chemistry, BNM Institute of Technology, Banashankari, Bangalore, 560070, India; Shanavaz H., Department of Chemistry, Faculty of Engineering and Technology, Jain University, Bangalore, 562112, India; Rajappa S., Department of Sciences and Humanities, School of Engineering and Technology, CHRIST University, Mysore Road, Karnataka, Bangalore, 560074, India; Alharethy F., Department of Chemistry, College of Science, King Saud University, Riyadh, 11451, Saudi Arabia; Kumar K.Y., Department of Chemistry, Faculty of Engineering and Technology, Jain University, Bangalore, 562112, India; Yadav K.K., Faculty of Science and technology, Madhyanchal Professional University, Ratibad, MP, Bhopal, 462044, India; Jeon B.-H., Department of Earth Resources and Environmental Engineering, Hanyang University, 222, Wangsimni-ro, Seongdong-gu, Seoul, 04763, South Korea; Raghu M.S., Department of Chemistry, New Horizon College of Engineering, Outer Ring Road, Bangalore, 560103, India Description An account of the resource The green synthetic route, solving issues in the energy sector and the removal of wastes for a clean environment are the major concerns across the globe for a sustainable future. The current work involves the synthesis of iron sulphide (FeS), nickel sulphide (NiS) and FeS/NiS heterostructure using a Calotropis procera leaf and flower extract as a reducing agent without any additional sulphur source. Structural optical, photo/electrochemical and morphological characterizations suggest the formation of a heterostructure between FeS and NiS of type II with tuned edge potentials. Due to which FeS/NiS showed enhanced activity in evolving CO and CH? through photoctalytic CO2 reduction reaction (CRR) and was found to be 2.5 and 2 times higher than FeS and NiS, respectively. Further, all three materials were studied for photocatalytic degradation of two cationic dyes (methylene blue: MB and safranin O: SO) under different light sources. The % degradation of dyes MB and SO was found to be 98 and 96 %, respectively, in the presence of FeS/NiS heterostructure under sunlight. The factors affecting the dye degradation (pH, initial concentration, catalyst dosage) were optimized to achieve maximum efficiency. The degradation study using FeS/NiS was additionally examined in industrial effluent and the simultaneous degradation of MB and SO and the results are satisfactory. Photocatalytic mechanism was predicted based on the degradation results using liquid chromatography mass spectrophotometry (LCMS). The decreased charge transfer resistance, superior photocurrent response, bandgap tuning, shift in edge potentials, and formation of heterostructure and effective charge separation could be attributed to the appreciable efficiency of FeS/NiS. This work may lead to further research on the formation of metal sulfide-based heterostructures using a green approach and their application towards waste reduction and converting them to wealth towards energy and environmental remediation. 2025 Elsevier Ltd Subject The topic of the resource CO2 reduction; Dyes; FeS/NiS heterostructure; Green synthesis; Photocatalysis; Type II; Waste to wealth Publisher An entity responsible for making the resource available Elsevier Ltd Relation A related resource ISSN: 22133437; Language A language of the resource English Type The nature or genre of the resource Article Rights Information about rights held in and over the resource Restricted Access; Hardcopy may be available in the library Format The file format, physical medium, or dimensions of the resource online Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Faculty Publications Conference Paper Faculty Publications- Conference Papers Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Creator An entity primarily responsible for making the resource Poornima, N.V.; Resmi, K.R.; Rohini, V.; Khatri, Himank; Prabhusundhar, P. Title A name given to the resource Revolutionizing Schizophrenia Care for the Elderly: Blockchain-driven Predictive Models for Personalized Support Date A point or period of time associated with an event in the lifecycle of the resource 01-01-2025 Source A related resource from which the described resource is derived 2025 2nd International Conference on New Frontiers in Communication, Automation, Management and Security, ICCAMS 2025; Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.1109/ICCAMS65118.2025.11234571" target="_blank" rel="noreferrer noopener">https://doi.org/10.1109/ICCAMS65118.2025.11234571</a> <a href="https://www.scopus.com/pages/publications/105030041675?origin=resultslist" target="_blank" rel="noreferrer noopener">https://www.scopus.com/pages/publications/105030041675?origin=resultslist</a> Coverage The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant Poornima N.V., Symbiosis International( Deemed University), Faculty of Management, Symbiosis Centre for Management Studies, Pune, India; Resmi K.R., Christ(Deemed to be) University, Dept of Computer Science, Bengaluru, India; Rohini V., Christ(Deemed to be) University, Dept of Computer Science, Bengaluru, India; Khatri H., Christ(Deemed to be) University, Dept of Computer Science, Bengaluru, India; Prabhusundhar P., Gobi Arts and Science College, Dept of Computer Science, Gobichettipalayam, India Description An account of the resource The escalation of mental health challenges encountered by the elderly community, novel research is carried out by adopting twin cutting-edge technologies, artificial intelligence (AI) and Blockchain, which are proposed in this study, focusing on schizophrenia, which is a complex mental disorder, to raise awareness of the disease, reduce negativity, and ensure positive support. symptom prediction and disease classification models have been developed using Machine learning (ML) algorithms and symptom datasets for schizophrenia prediction. Natural Language processing is also employed to find the speech patterns for mental health illness indications. The outcomes predicted with AI models are transformed into a detailed report by leveraging Llama 3.3, ensuring understanding and encouraging people to have community conversations. The generated reports are stored in the decentralized file system to achieve more security and privacy. It ensures the tamper-free nature of Blockchain, with an interactive user interface and multilingual capabilities. This research outcome allows individuals to know the early disease symptoms and get timely assistance; it ensures an illuminating way toward improved mental well-being for senior citizens. 2025 IEEE. Subject The topic of the resource Artificial Intelligence; Blockchain Technology; Decentralized; Natural Language Processing; Schizophrenia Publisher An entity responsible for making the resource available Institute of Electrical and Electronics Engineers Inc. Relation A related resource ISBN: 979-833159610-1; Language A language of the resource English Type The nature or genre of the resource Conference paper Rights Information about rights held in and over the resource Restricted Access; Hardcopy may be available in the library Format The file format, physical medium, or dimensions of the resource online Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Faculty Publications Conference Paper Faculty Publications- Conference Papers Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Creator An entity primarily responsible for making the resource Poornima, Sharon; Immanuel, Ashok Title A name given to the resource Self-Organizing Microservice Composition for IoT-Enabled Neonatal Monitoring Date A point or period of time associated with an event in the lifecycle of the resource 01-01-2025 Source A related resource from which the described resource is derived 2025 IEEE 2nd International Conference on Advances in Modern Age Technologies for Health and Engineering Science, AMATHE 2025 - Proceedings; Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.1109/AMATHE65477.2025.11081365" target="_blank" rel="noreferrer noopener">https://doi.org/10.1109/AMATHE65477.2025.11081365</a> <a href="https://www.scopus.com/pages/publications/105012713432?origin=resultslist" target="_blank" rel="noreferrer noopener">https://www.scopus.com/pages/publications/105012713432?origin=resultslist</a> Coverage The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant Poornima S., CHRIST (Deemed to be University), Department of Computer Science, Bengaluru, India; Immanuel A., CHRIST (Deemed to be University), Department of Computer Science, Bengaluru, India Description An account of the resource The fast-paced growth of the Internet of Things (IoT) has revolutionized several industries, including the delivery of healthcare applications, due to its ability to support realtime and automated applications. However, several key challenges are associated with the dynamic and complex nature of IoT environments, such as scalability, increased system complexity, and network instability. This paper presents a self-organizing microservice Composition Model created especially for healthcare systems using IoT to address these issues. The Model employs decentralized, local interactions inspired by bio-inspired mechanisms. These mechanisms enable the system to autonomously form complex service composites with minimal human intervention through emergent behaviour. The model leverages an ant agent to optimize bio-inspired mechanisms and a deep learning agent for autonomous service choreography, enhancing the system's flexibility, adaptability, and overall performance. A continuous neonatal monitoring case study illustrates how the model works in composing services in a self-organizing manner. This research contributes to the advancement of smart healthcare infrastructures by proposing an innovative framework that adapts to the evolving needs of IoT-driven healthcare applications. 2025 IEEE. Subject The topic of the resource Healthcare; IoT; Self-Organization; Service Composition Publisher An entity responsible for making the resource available Institute of Electrical and Electronics Engineers Inc. Relation A related resource ISBN: 979-833150103-7; Language A language of the resource English Type The nature or genre of the resource Conference paper Rights Information about rights held in and over the resource Restricted Access; Hardcopy may be available in the library Format The file format, physical medium, or dimensions of the resource online Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Faculty Publications Conference Paper Faculty Publications- Conference Papers Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Creator An entity primarily responsible for making the resource Poornima, Sharon; Immanuel, Ashok Title A name given to the resource Self-Organizing Microservice Composition for IoT-Enabled Neonatal Monitoring Date A point or period of time associated with an event in the lifecycle of the resource 01-01-2025 Source A related resource from which the described resource is derived 2025 IEEE 2nd International Conference on Advances in Modern Age Technologies for Health and Engineering Science, AMATHE 2025 - Proceedings; Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.1109/AMATHE65477.2025.11081365" target="_blank" rel="noreferrer noopener">https://doi.org/10.1109/AMATHE65477.2025.11081365</a> <a href="https://www.scopus.com/pages/publications/105012713432?origin=resultslist" target="_blank" rel="noreferrer noopener">https://www.scopus.com/pages/publications/105012713432?origin=resultslist</a> Coverage The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant Poornima S., CHRIST (Deemed to be University), Department of Computer Science, Bengaluru, India; Immanuel A., CHRIST (Deemed to be University), Department of Computer Science, Bengaluru, India Description An account of the resource The fast-paced growth of the Internet of Things (IoT) has revolutionized several industries, including the delivery of healthcare applications, due to its ability to support realtime and automated applications. However, several key challenges are associated with the dynamic and complex nature of IoT environments, such as scalability, increased system complexity, and network instability. This paper presents a self-organizing microservice Composition Model created especially for healthcare systems using IoT to address these issues. The Model employs decentralized, local interactions inspired by bio-inspired mechanisms. These mechanisms enable the system to autonomously form complex service composites with minimal human intervention through emergent behaviour. The model leverages an ant agent to optimize bio-inspired mechanisms and a deep learning agent for autonomous service choreography, enhancing the system's flexibility, adaptability, and overall performance. A continuous neonatal monitoring case study illustrates how the model works in composing services in a self-organizing manner. This research contributes to the advancement of smart healthcare infrastructures by proposing an innovative framework that adapts to the evolving needs of IoT-driven healthcare applications. 2025 IEEE. Subject The topic of the resource Healthcare; IoT; Self-Organization; Service Composition Publisher An entity responsible for making the resource available Institute of Electrical and Electronics Engineers Inc. Relation A related resource ISBN: 979-833150103-7; Language A language of the resource English Type The nature or genre of the resource Conference paper Rights Information about rights held in and over the resource Restricted Access; Hardcopy may be available in the library Format The file format, physical medium, or dimensions of the resource online Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Faculty Publications Conference Paper Faculty Publications- Conference Papers Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Creator An entity primarily responsible for making the resource Poornima, Sharon; Immanuel, Ashok Title A name given to the resource Self-Organizing Micro Service Composition for IoT Ecosystem Date A point or period of time associated with an event in the lifecycle of the resource 01-01-2025 Source A related resource from which the described resource is derived 6th International Conference on Mobile Computing and Sustainable Informatics, ICMCSI 2025 - Proceedings;pp.273-279 Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.1109/ICMCSI64620.2025.10883497" target="_blank" rel="noreferrer noopener">https://doi.org/10.1109/ICMCSI64620.2025.10883497</a> <a href="https://www.scopus.com/pages/publications/105000018552?origin=resultslist" target="_blank" rel="noreferrer noopener">https://www.scopus.com/pages/publications/105000018552?origin=resultslist</a> Coverage The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant Poornima S., Department of Computer Science, CHRIST (Deemed to be University), Bengaluru, India; Immanuel A., Department of Computer Science, CHRIST (Deemed to be University), Bengaluru, India Description An account of the resource The Internet of Things (IoT) has become the central focus in many computing applications, with smart devices seamlessly integrated to meet user needs by providing services that reflect their functionalities. Service composition, the process of integrating multiple services to deliver unified functionality, is crucial in this context. However, traditional service composition techniques fall short in highly dynamic and open environments such as the IoT ecosystem, necessitating decentralized models that can effectively support service composition in such settings. The self-organizing microservice composition model for IoT addresses this need by leveraging decentralized, localized interactions that utilize bio-inspired mechanisms. These mechanisms enable the system to autonomously form complex service compositions with minimal human intervention through emergent behaviour, enhancing the systems flexibility, adaptability, and overall performance. This paper presents a model specifically designed for the IoT ecosystem, focusing on healthcare applications. The model dynamically responds to changing conditions, such as varying patient needs, device availability, and network conditions, making it highly suitable for critical healthcare environments. By providing a robust framework for managing the complexities inherent in healthcare IoT, this model has the potential to revolutionize the delivery and management of healthcare services. 2025 IEEE. Subject The topic of the resource IoT Healthcare; Self-Organizing Microservices; Service Composition Publisher An entity responsible for making the resource available Institute of Electrical and Electronics Engineers Inc. Relation A related resource ISBN: 979-833152266-7; Language A language of the resource English Type The nature or genre of the resource Conference paper Rights Information about rights held in and over the resource Restricted Access; Hardcopy may be available in the library Format The file format, physical medium, or dimensions of the resource online Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Faculty Publications Article Faculty Publications -Articles Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Creator An entity primarily responsible for making the resource Poornima, Sharon; Immanuel, Ashok V. Title A name given to the resource Intelligent self-organizing microservice composition using hybrid learning for neonatal ward Date A point or period of time associated with an event in the lifecycle of the resource 01-01-2026 Source A related resource from which the described resource is derived IAES International Journal of Artificial Intelligence;Volume;15;Issue;2;pp.1097-1108 Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.11591/ijai.v15.i2.pp1097-1108" target="_blank" rel="noreferrer noopener">https://doi.org/10.11591/ijai.v15.i2.pp1097-1108</a> <a href="https://www.scopus.com/pages/publications/105036029784?origin=resultslist" target="_blank" rel="noreferrer noopener">https://www.scopus.com/pages/publications/105036029784?origin=resultslist</a> Coverage The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant Poornima S., Department of Computer Science, CHRIST (Deemed to be University), Bengaluru, India; Immanuel A.V., Department of Computer Science, CHRIST (Deemed to be University), Bengaluru, India Description An account of the resource This research presents an innovative self-organizing microservice composition model specifically tailored for dynamic and time-sensitive healthcare environments such as neonatal intensive care units (NICU). A hybrid machine learning classifier detects neonatal conditions and assigns treatment plans based on real-time vitals. The composition process is guided by a deep learning agent that combines unsupervised and reinforcement learning to develop intelligent bonding strategies. Microservices act as autonomous agents, supporting decentralized service choreography within the self-organizing framework. The bonding strategies of direct bonding and shared bonding are implemented for single conditions and coexisting conditions, respectively. The simulation results are based on actual NICU data, demonstrating the ability of the model to dynamically compose services while ensuring optimal resource utilization. The model demonstrates an adaptive and dynamic composition through emergence and continuous learning for changing clinical conditions, and demonstrates emergent behavior through reinforcement learning. The model's predictive capabilities enable anticipatory service loading, providing context-aware treatment in critical healthcare scenarios. This self-organizing architecture model offers a scalable and robust solution for autonomous, decentralized service choreography in critical healthcare environments. This is an open access article under the CC BY-SA license https://creativecommons.org/licenses/by-sa/4.0/. Subject The topic of the resource Critical care; Health care; Hybrid learning; Microservice composition; Self-organization Publisher An entity responsible for making the resource available Institute of Advanced Engineering and Science Relation A related resource ISSN: 20894872; Language A language of the resource English Type The nature or genre of the resource Article Rights Information about rights held in and over the resource All Open Access; Gold Open Access Format The file format, physical medium, or dimensions of the resource online Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Conference Papers Conference Paper Faculty Publications- Conference Papers Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Modelling Networks withAttached Storage Using Perfect Italian Domination Subject The topic of the resource Corona product of graphs; Domination number; Join of graphs; Perfect Italian domination Description An account of the resource Network-attached storage (NAS) is how data is stored and shared among hosts through a configured network. This is cheaper yet the best solution for sharing and using any huge unstructured data in an organization. Optimal distribution of NAS in a network of servers can be done using the concept of Perfect Italian Domination (PID). PID is a vertex labelling where the vertices of a graph G are labelled by 0, 1, 2 such that a vertex with label 0 should have a neighbourhood where the summation of the labels is exactly 2. The minimum possible sum of the labels obtained for graph G is its PID number. A network in an organization can have any structure. It can be highly interconnected, like a graph obtained from the Join of two graphs or the Corona product of two graphs. Hence, this paper discusses the PID of different graphs generated by the Join and the Corona products. The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2024. Creator An entity primarily responsible for making the resource Poovathingal A.; Kureethara J.V. Source A related resource from which the described resource is derived Lecture Notes in Networks and Systems, Vol-832, pp. 23-33. Publisher An entity responsible for making the resource available Springer Science and Business Media Deutschland GmbH Date A point or period of time associated with an event in the lifecycle of the resource 2024-01-01 Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.1007/978-981-99-8129-8_3" target="_blank" rel="noreferrer noopener">https://doi.org/10.1007/978-981-99-8129-8_3</a> <a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85187799578&doi=10.1007%2F978-981-99-8129-8_3&partnerID=40&md5=a74e40d3c899b9b63020e8a102a48516" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85187799578&doi=10.1007%2f978-981-99-8129-8_3&partnerID=40&md5=a74e40d3c899b9b63020e8a102a48516</a> Rights Information about rights held in and over the resource Restricted Access Relation A related resource ISSN: 23673370; ISBN: 978-981998128-1 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 Poovathingal A., Department of Mathematics, Christ University, Bangalore, India; Kureethara J.V., Department of Mathematics, Christ University, Bangalore, India