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Number of items: 398.

Abhishek Biswal, R. and Pazhamalai, Vivek (2021) Thymol. In: A Centum of Valuable Plant Bioactives. Elsevier, pp. 275-290.

Ajith Arul Daniel, S. and Parthiban, A. and Sivaganesan, S. and Vijay Ananth, S. (2021) Investigation on Surface Roughness in Drilling of al/SiC/MoS2 Metal Matrix Composites. In: Lecture Notes in Mechanical Engineering. springer, pp. 717-724.

Akila, D. and Bhaumik, Amiya and Doss, Srinath and Ameen, Ali (2020) Hyperspectral Image Classification by Means of Suprepixel Representation with KNN. In: Hyperspectral Image Classification by Means of Suprepixel Representation with KNN. Springer, pp. 369-378.

Akila, D. and Bhaumik, Amiya and Duraisamy, Balaganesh and Suseendran, G. and Pal, Souvik (2021) Improved Nature-Inspired Algorithms in Cloud Computing for Load Balancing. In: Improved Nature-Inspired Algorithms in Cloud Computing for Load Balancing. Springer, pp. 547-558.

Akila, D. and Jeyalaksshmi, S. and Suseendran, G. and Balaganesh, D. (2021) Executing the Apriori Hybrid Algorithm in Semi-structured Mining Datasets and Comparison with HD Algorithm. In: Advances in Intelligent Systems and Computing. Springer, pp. 539-547.

Akila Vaishnavi, P. and Udaya Prakash, N.K. and Jayanthi, M. and Suganthi, M. and Thenmozhi, M. (2023) Impact of metal oxide nanoparticles against biotic stress in plants. In: Nanometal Oxides in Horticulture and Agronomy. Elsevier, pp. 101-140.

Akila1, A. and Parameswari, R. and Jayakumari, C. (2022) Big Data in Healthcare: Management, Analysis, and Future Prospects: Knowledge Engineering with Big Data Analytics. In: Handbook of Intelligent Healthcare Analytics. Wiley, pp. 309-326. ISBN 9781119792550

Ameetha Junaina, T. K. and Kumudham, R. and Ebenezer Abishek, B. and Mohammed, Shakir (2023) Maturity Level Detection of Strawberries: A Deep Color Learning-Based Futuristic Approach. In: Maturity Level Detection of Strawberries: A Deep Color Learning-Based Futuristic Approach. Springer, pp. 153-163.

Anandan, R. (2022) Adaptive Heuristic ‐ Genetic Algorithms. In: Mathematics in Computational Science and Engineering. Wiley, pp. 329-342. ISBN 9781119777557

Anandan, R. and Deepak, B. S. (2022) An Overview of Blockchain Technology: Fundamental Theories and Concepts: Challenges and Opportunities. In: The Convergence of Artificial Intelligence and Blockchain Technologies. WORLD SCIENTIFIC, pp. 1-22. ISBN 978-981-12-2507-9

Anandan, R. and Deepak, B.S. and Suseendran, G. and Jhanjhi, Noor Zaman (2021) Internet of Things Platform for Smart Farming: Internet of Robotic Things and Ubiquitous Computing. In: Human Communication Technology. Wiley, pp. 337-369. ISBN 9781119752165

Anandan, R. and Gopalakrishnan, Suseendran and Pal, Souvik and Zaman, Noor (2022) Front Matter: Intelligent Analytics for Predictive Maintenance. In: The Industrial Internet of Things (IIoT). Wiley. ISBN 9781119769026

Anandan, R. and Jhanjhi, Noor Zaman and Deepak, B. S. (2022) Treatment of Novel Coronavirus (2019-nCoV) Using Hinokitiol (β-thujaplicin) Copper Chelate: Challenges and Opportunities. In: How COVID-19 is Accelerating the Digital Revolution. Springer International Publishing, Cham, pp. 147-164. ISBN 978-3-030-98167-9

Anandhi, B. and Jerritta, S. (2022) Hilbert Huang Transform (HHT) Analysis of Heart Rate Variability (HRV) in Recognition of Emotion in Children with Autism Spectrum Disorder (ASD). In: Biomedical Signals Based Computer-Aided Diagnosis for Neurological Disorders. Springer International Publishing, Cham, pp. 65-81. ISBN 978-3-030-97845-7

Anbazhagu, U. V. and Anandan, R. (2021) Predicting the Cricket Match Outcome Using ANFIS Classifier for Viewers Opinions on Twitter Data. In: Advances in Intelligent Systems and Computing. springer, pp. 171-182.

Angel Cerli, A. and Kalaiselvi, K. (2020) Retrospective Analysis of Wireless Body Area Network. In: Retrospective Analysis of Wireless Body Area Network. Springer, pp. 523-529.

Angel Cerli, A. and Kalaiselvi, K. and Varadarajan, Vijayakumar (2022) Secure Healthcare Systems Based on Big Data Analytics: Knowledge Engineering with Big Data Analytics. In: Handbook of Intelligent Healthcare Analytics. Wiley, pp. 189-211. ISBN 9781119792550

Anitha, J. and Rajasingh, Indra (2019) Power Domination Parameters in Honeycomb-Like Networks. In: Applied Mathematics and Scientific Computing. Springer Link, pp. 613-621.

Annamalai, Jayshree and Murugan, Karuvelan and Shanmugam, Jayashree and Boopathy, Usharani (2022) Mycosynthesis of silver nanoparticles: Mechanism and applications. In: Green Synthesis of Silver Nanomaterials. Elsevier, pp. 391-411.

Ansari, Mohammad Omaish and Kumar, Rajeev and Pervez Ansari, Shahid and Abdel-wahab Hassan, Mohamed Shaaban and Alshahrie, Ahmed and Barakat, Mohamed Abou El-Fetough (2019) Nanocarbon aerogel composites. In: Nanocarbon and its Composites. Elsevier, pp. 1-26.

Arthur Jebastine Sunderraj, D. and Ananthapadmanaban, D. and Arun Vasantha Geethan, K. and Vijayananth, S. (2019) Correlation Between Mechanical Properties and Microstructure of Fe-Ti-Zn Alloys Fabricated by Powder Metallurgy. In: Advances in Micro and Nano Manufacturing and Surface Engineering Proceedings of AIMTDR 2018. Springer, pp. 319-327.

Arul Stephen, C. and Mathesh, R. and Venkat, L. and Ebenezer Abishek, B. and Vijayalakshmi, A. (2022) Evaluation of Various Machine Learning Algorithms for Detection of Attacks in 5G. In: Proceedings of International Conference on Power Electronics and Renewable Energy Systems. Springer, pp. 397-405.

Arumugam, Krishnamurthy and Sellappan, Malathi and Anand, Dheepa and Anand, Sadhanha and Radhakrishnan, Subhashini Vedagiri (2022) A Text Mining and Machine Learning Protocol for Extracting Posttranslational Modifications of Proteins from PubMed: A Special Focus on Glycosylation, Acetylation, Methylation, Hydroxylation, and Ubiquitination. In: Biomedical Text Mining. Springer, pp. 179-202.

Arumugam, Sajeev Ram and Gowr, Sheela and Abimala, A and Balakrishna, A and Manoj, Oswalt (2022) Performance Evaluation of Machine Learning and Deep Learning Techniques: A Comparative Analysis for House Price Prediction. In: Convergence of Deep Learning In Cyber‐IoT Systems and Security. Wiley, pp. 21-65. ISBN 9781119857686

Arun pandiyan, S. and Kabeer khan, H. and Vivek, P. and Ivo Romauld, S. and Meenambiga, S. S. (2024) ADMET Prediction and Molecular Simulation of Desmostachya bipinnata Against Gastric Cancer Protein (PFN1):. In: Information Resources Management Association. IGI, pp. 309-326.

Aruna, M. and Selvaraj, A. and Rekha, V. (2023) Hall and Magnetic Impacts on Stream Past a Parabolic Accelerated Vertical Plate with Varying Heat and Uniform Mass Diffusion in the Appearance of Thermal Radiation. In: Hall and Magnetic Impacts on Stream Past a Parabolic Accelerated Vertical Plate with Varying Heat and Uniform Mass Diffusion in the Appearance of Thermal Radiation. springer, pp. 323-336.

Aruna Jacintha, T. and Jaya, T. (2022) Optimization of Adaptive Queuing System with Priority-Based Scheduling in Underwater Sensor Networks. In: Proceedings of the International Conference on Cognitive and Intelligent Computing. Springer, pp. 485-499.

Arunraja, D. and Romauld, S. Ivo and Devi, Parthiban Brindha and Thiruvengadam, S. and Kumar, Vineet (2023) Genetically engineered microbes for bioremediation and phytoremediation of contaminated environment. In: Metagenomics to Bioremediation. Elsevier, pp. 709-721.

Asha, D. Priscilla Sharlet and Hemalatha, R. J. (2023) Early Diagnosis of Rheumatoid Arthritis of the Wrist Using Power Doppler Ultrasound: A Review. In: Early Diagnosis of Rheumatoid Arthritis of the Wrist Using Power Doppler Ultrasound: A Review. springer, pp. 320-333.

Ashwathan, R. and Asnath, Victy Phamila Y. and Geetha, S. and Kalaivani, K. (2022) Object Detection in IoT‐Based Smart Refrigerators Using CNN: Intelligent Analytics for Predictive Maintenance. In: The Industrial Internet of Things (IIoT). Wiley, pp. 281-300. ISBN 9781119769026

Aswin Kumar, S. and Gnanavel, C. and Pugazhenthi, R. and Baradeswaran, A. (2022) Experimental Investigation of Polymers Gears to the Composite Gears. In: Recent Advances in Materials and Modern Manufacturing. Springer, pp. 1013-1027.

Babu, R. Suresh and Murali, A. and Devendiran, M. and Kalaivani, A. and de Barros, A. L. F. (2021) Mesoporous Carbon-based Disposable Sensors. In: Disposable Electrochemical Sensors for Healthcare Monitoring: Material Properties and Design. Royal Society of Chemistry, pp. 79-102.

Babu, T. G. and Jayalakshmi, V. (2022) Conglomerate Elgamal Encryption-Based Data Aggregation and Knapsack-Based Energy Efficient Cryptosystem in Wireless Sensor Network. In: Intelligent Sustainable Systems. Springer, pp. 709-727.

Bagade, Om M. and Doke-Bagade, Priyanka E. and Wankhade, Krushna S. (2024) Application of Edge AI in Biomedicine. In: Edge Computational Intelligence for AI-Enabled IoT Systems. CRC Press, Boca Raton, pp. 197-222. ISBN 9781032650722

Balakrishna, R. and Anandan, R. (2020) Feature Classification and Analysis of Acute and Chronic Pancreatitis Using Supervised Machine Learning Algorithm. In: Feature Classification and Analysis of Acute and Chronic Pancreatitis Using Supervised Machine Learning Algorithm. Springer, pp. 241-249.

Balamurali, P. and Karthikeyan, S. and Anbuchezhiyan, G. and Pugazhenthi, R. (2022) Experimental Investigation and Optimization of Cryogenically Treated Titanium Grade-2 Alloy in Electrical Discharge Machining. In: Recent Advances in Materials and Modern Manufacturing. Springer, pp. 107-119.

Bano, Yasmeen and Vasantha, S. (2022) Role of Emotional Intelligence on Final Year Students’ Employability. In: Proceedings of International Conference on Communication and Artificial Intelligence. Springer, pp. 329-338.

Baskar, S. and Karikalan, L. (2021) Thermo-Physical Properties of Al2O3 and Preparation Technique. In: Lecture Notes in Mechanical Engineering. springer, pp. 705-710.

Bethanney Janney, J. and Divakaran, Sindu and Sudhakar, T. and Grace Kanmani, P. and Hemalatha, R. J. and Nag, Manas (2023) Emerging Soft Computation Tools for Skin Cancer Diagnostics. In: Emerging Soft Computation Tools for Skin Cancer Diagnostics. Springer, pp. 265-283.

Betty Jane, J. and Ganesh, E. N. (2020) Big Data and Internet of Things for Smart Data Analytics Using Machine Learning Techniques. In: Big Data and Internet of Things for Smart Data Analytics Using Machine Learning Techniques. Springer, pp. 213-223.

Bhalaji, N. and Gurunathan, P. and Shanmugam, A. (2010) Performance Comparison of Multicast Routing Protocols under Variable Bit Rate Scenario for Mobile Adhoc Networks. In: Recent Trends in Network Security and Applications. Springer, pp. 114-122.

Bhalaji, N. and Kanakeri, Alok V. and Chaitanya, Krishna P. and Shanmugam, A. (2010) Trust Based Strategy to Resist Collaborative Blackhole Attack in Manet. In: Information Processing and Management. Springer, pp. 468-474.

Bhanumathi, M and Dhanya, S and Gugan, R and Kirthika, K G (2022) Marine Plastic Detection Using Deep Learning. In: Advances in Parallel Computing Algorithms, Tools and Paradigms. IOS Press and distributed.

Bhanumathi, M and Rithika, Ravi and Roshni, R and Selvaraj, Sona (2022) Underwater Fish Species Classification Using Alexnet. In: Underwater Fish Species Classification Using Alexnet. he authors and IOS Press.

Bharathi Vidhya, R. and Jerritta, S. and Thiyagasundaram, T. (2024) Deep neural network-based stress detection using biosignals. In: Affective Computing Applications using Artificial Intelligence in Healthcare: Methods, approaches and challenges in system design. Institution of Engineering and Technology, pp. 133-146. ISBN 9781839537325

Bharathidasan, V. S. and Prema Kirubakaran, A. (2023) Enhancing the Performance of Multiple Wi-Fi Network. In: Enhancing the Performance of Multiple Wi-Fi Network. Springer, pp. 613-629.

Bharathy, G. T. and Rajendran, V. and Meena, M. and Tamilselvi, T. (2021) Research and Development in the Networks of Cognitive Radio: A Survey. In: Lecture Notes on Data Engineering and Communications Technologies. springer, pp. 475-494.

Bhaskara Rao, G. and Parthiban, A. (2022) Experimental Analysis of Cold Chamber with Phase Change Materials for Agriculture Products. In: Smart Intelligent Computing and Applications, Volume 1. Springer, pp. 103-115.

Bhattacharjee, Shiladitya and Rahim, Lukman Bin Ab. and Ramadhani, Ade Wahyu and Midhun, chakkaravarthy and Midhunchakkravarthy, Divya (2020) A Study on Seismic Big Data Handling at Seismic Exploration Industry. In: A Study on Seismic Big Data Handling at Seismic Exploration Industry. Springer, pp. 421-429.

Bhuvana, M. and Vasantha, S. (2022) COVID-19 Disaster Healthcare Management System in Rural Areas: Predicting the Unpredictable with Emerging Technologies. In: Global Healthcare Disasters. Apple Academic Press, Boca Raton, pp. 145-159. ISBN 9781003282020

Bhuvana, M. and Vasantha, S. (2022) Determinants of E-Governance Health Care Services Requirements and Rural Citizen Satisfaction. In: Managing Disruptions in Business. Springer, pp. 317-334.

Bhuvana, M. and Vasantha, S. (2021) The Impact of COVID-19 on Rural Citizens for Accessing E-Governance Services: A Conceptual Model Using the Dimensions of Trust and Technology Acceptance Model. In: Studies in Systems, Decision and Control. springer, pp. 471-484.

Bhuvana, R. and Hemalatha, R. J. (2023) Brain Imaging Tool in Patients with Trans Ischemic Attack: A Comparative Research Study Analysis of Computed Tomography and Magnetic Resonance Imaging. In: Brain Imaging Tool in Patients with Trans Ischemic Attack: A Comparative Research Study Analysis of Computed Tomography and Magnetic Resonance Imaging. Springer, pp. 28-34.

Bhuvana, R. and Hemalatha, R. J. (2023) MRI-Based Early Diagnosis and Quantification of Trans-Ischemic Stroke Using Machine Learning—An Overview. In: MRI-Based Early Diagnosis and Quantification of Trans-Ischemic Stroke Using Machine Learning—An Overview. springer, pp. 363-376.

Bhuvaneswari, S. and Illakiya Bharathi, K. and Rajakumari, K. and Kumar, Vineet (2023) Recent advances in bioremediation by metagenomics-based approach for pharmaceutical derived pollutants. In: Metagenomics to Bioremediation. Elsevier, pp. 55-80.

Bhyrapuneni, Srikanth and Anandan, R. (2021) Relevant Text Extraction Using Enhanced Artificial Neural Network Fuzzy Inference System. In: Advances in Intelligent Systems and Computing. Springer, pp. 441-449.

Bindu, G. and Moyeenudin, H. M. and Anandan, R. (2024) Blockchain of Cryptocurrency Using a Proof-of-Work-Based Consensus Algorithm with an SHA-256 Hash Algorithm to Make Secure Payments. In: Integrating Blockchain and Artificial Intelligence for Industry 4.0 Innovations. Springer, pp. 243-252.

Bodapati, Srihari and Akila, A. (2019) Exploration of Various Cloud Segments Transference and Convenience for Cloud Computing. In: International Conference on Computer Networks and Communication Technologies ICCNCT 2018. Springer, pp. 749-754.

Booba, B. and Prema, A. and Renugadevi, R. (2020) A Hybrid Optimization Algorithm for Pathfinding in Grid Environment. In: Data Management, Analytics and Innovation, Proceedings of ICDMAI 2019,. Springer, pp. 713-721.

Chakraborty, Arkadyuti Roy and Akshay, R. and Sahoo, Subhrajeet and Seel, Haimantika and Das, Soupam and Dutta, Saikat and Nalluri, Abhishek and Sana, Siva Sankar and Ramesh, Karthikeyan and Raghavan, Vimala (2023) Emerging Graphene-Based Nanomaterials for Cancer Nanotheranostics. In: Emerging Graphene-Based Nanomaterials for Cancer Nanotheranostics. Springer, pp. 1091-1126.

Chandrasekaran, M. and Sonawane, Pavankumar R. and Sriramya, P. (2022) Prediction of Gear Pitting Severity by Using Naive Bayes Machine Learning Algorithm. In: Recent Advances in Materials and Modern Manufacturing. Springer, pp. 131-141.

Chandrasekaran, R. and Vijayaraj, S. and Jothi Lakshmi, G. R. (2021) Investigation of Gastroparesis Using Multichannel Electro Gastro Gram – A Study. In: Lecture Notes in Networks and Systems. Springer, pp. 121-129.

Chandrasekaran, R. and Vijayaraj, S. and Lakshmi, G. R. Jothi (2023) Characteristics and Analysis of ElectroGastroGram Signal. In: Characteristics and Analysis of ElectroGastroGram Signal. IEEE, pp. 356-361.

Charan, B. and Vasantha, S. (2023) Role of Brand Love in Green Purchase Intention: Analytical Study from User’s Perspective. In: Role of Brand Love in Green Purchase Intention: Analytical Study from User’s Perspective. Springer, pp. 113-125.

Chidambaram, Ragavi and Rajagopal, Ravina Devi and Sagayaraj, Ivo Romauld and Pazhamalai, Vivek (2022) Plant–Microbe Associations in Remediation of Contaminants for Environmental Sustainability. In: Omics Insights in Environmental Bioremediation. Springer Nature Singapore, Singapore, pp. 73-102. ISBN 978-981-19-4320-1

Chitra, S. and Jayalakshmi, V. (2022) Prediction of Heart Disease and Chronic Kidney Disease Based on Internet of Things Using RNN Algorithm. In: Proceedings of Data Analytics and Management. Springer, pp. 467-479.

Chitra, S. and Jayalakshmi, V. (2021) A Review of Healthcare Applications on Internet of Things. In: Lecture Notes in Networks and Systems. Springer, pp. 227-237.

Damera, Ramachander and Ilango, T. (2022) SEM–EDS Microstructural Analysis of Heritage Structure. In: Recent Advances in Materials and Modern Manufacturing. Springer, pp. 875-884.

Deepa, G. and Kalpana, Y. (2024) Exploring and Improving Deep Learning-Based Image Filtering and Segmentation Techniques for Enhancing Leukemia Images. In: Communications in Computer and Information Science. Springer, pp. 97-111.

Deepa, M. and Akila, D. (2021) Cost-Effective Anomaly Detection for Blockchain Transactions Using Unsupervised Learning. In: Cost-Effective Anomaly Detection for Blockchain Transactions Using Unsupervised Learning. Springer, pp. 445-453.

Deepasundari, K. and Raja, A. Thirumurthi (2023) Segmentation of Attributes of the Skin Lesion Using Deep Ensemble Models. In: Segmentation of Attributes of the Skin Lesion Using Deep Ensemble Models. Springer, pp. 313-323.

Deepika, K. and Meenakshi, S. (2021) Eccentric Sequence of Self-centered Graphs. In: Advances in Intelligent Systems and Computing. Springer, pp. 499-507.

Deepika, M. and Kalaiselvi, K. (2021) Machine Learning–Based Data Analysis. In: Machine Learning Approach for Cloud Data Analytics in IoT. Wiley, pp. 1-24. ISBN 9781119785873

Deny, J. and Raja Sudharsan, R. (2020) Block Rearrangements and TSVs for a Standard Cell 3D IC Placement. In: Block Rearrangements and TSVs for a Standard Cell 3D IC Placement. Springer, pp. 207-214.

Devi, B. Sita and Muthu Selvam, M. (2022) SoloDB for Social Media’s Big Data Using Deep Natural Language with AI Applications and Industry 5.0. In: Ubiquitous Intelligent Systems. Springer, pp. 279-294.

Devi, Chingakham Nirma and Renuga Devi, R. (2024) Big Data and Deep Learning‐based Tourism Industry Sentiment Analysis Using Deep Spectral Recurrent Neural Network. In: Applying Artificial Intelligence in Cybersecurity Analytics and Cyber Threat Detection. Wiley, pp. 165-178. ISBN 9781394196470

Devi, G. Dharani and Kamalakannan, S. (2023) Sentimental Analysis (SA) of Employee Job Satisfaction from Twitter Message Using Flair Pytorch (FP) Method. In: Sentimental Analysis (SA) of Employee Job Satisfaction from Twitter Message Using Flair Pytorch (FP) Method. Springer, pp. 367-380.

Dhivya, A. Josephin Arockia and Hemalatha, R. J. (2023) Design of a Intelligent Crutch Tool for Elders. In: Design of a Intelligent Crutch Tool for Elders. springer, pp. 320-324.

Dhivya, A. Josephin Arockia and Rubi, Jaya and Hemalatha, R. J. and Thamizhvani, T. R. (2021) Drone—an Assistive Device for Aquacare Monitoring. In: Lecture Notes in Networks and Systems. Springer, pp. 229-235.

Dhiyya, A. Josephin Arockia (2022) Architecture of IoMT in Healthcare: Healthcare Transformation. In: The Internet of Medical Things (IoMT). Wiley, pp. 161-172. ISBN 9781119769200

Dilip Jose, S. and Selvaraj, A. and Muthucumaraswamy, R. and Karthikeyan, S. and Jothi, E. (2021) MHD-Parabolic Flow Past an Accelerated Isothermal Vertical Plate with Variable Temperature and Uniform Mass Diffusion in the Presence of Rotation. In: Advances in Intelligent Systems and Computing. springer, pp. 417-428.

Dinesh, S. and Vijayan, V. and Parthiban, A. and Saravanan, C. and Suresh Kumar, B. (2021) Modeling and Optimization of Machining Parameters for Turning of Mild Steel Using Single-Point Cutting Tool Made of P20 Tool Steel. In: Lecture Notes in Networks and Systems. Springer, pp. 285-295.

Ebenezer Abishek, B. and Raaza, Arun and Leelaram, K. and Jerritta, S. and Rajendran, V. (2019) Design and Placement of a Conformal Microstrip Antenna on a Vehicular Structure for SATCOM Applications. In: Emerging telecommunications technologies. WILEY online library, pp. 449-458.

Elangovan, V. R. and Nirmala, R. and Jayakarthik, R. and Tamilarasi, P. and Kiruthiga, R. (2022) Efficient Secure Image Encryption Using RFID with Blockchain Technology in IIoT: Challenges and Opportunities. In: The Convergence of Artificial Intelligence and Blockchain Technologies. WORLD SCIENTIFIC, pp. 159-179. ISBN 978-981-12-2507-9

Elavel Visuvanathan, G. and Jaya, T. (2022) A Novel Solution for Carrier Frequency Offset (CFO) Minimization for Efficient 5G Wireless Communication Using OFDM for Internet of Things (IoT). In: Micro-Electronics and Telecommunication Engineering. Springer, pp. 297-307.

Elavel Visuvanathan., G and Jaya., T (2021) A Novel Approach to Evaluate Reduced Inter Symbol Interference in UFMC Systems. In: A Novel Approach to Evaluate Reduced Inter Symbol Interference in UFMC Systems. Springer.

Gajavalli, J. and Jeyalaksshmi, S. (2023) ConvNet of Deep Learning in Plant Disease Detection. In: ConvNet of Deep Learning in Plant Disease Detection. Springer, pp. 501-513.

Gajavalli, J. and Jeyalaksshmi, S. (2024) Plant Disease Detection Automation Using Deep Neural Networks. In: Advancements in Smart Computing and Information Security. Springer, pp. 96-109.

Ganguli, Souvik and Kaur, Gagandeep and Sarkar, Prasanta and Rajest, S. Suman (2020) An Algorithmic Approach to System Identification in the Delta Domain Using FAdFPA Algorithm. In: An Algorithmic Approach to System Identification in the Delta Domain Using FAdFPA Algorithm. Springer, pp. 203-211.

Girimurugan, R. and Vairavel, M. and Moorthy, A. Anandha and Prakash, E. and Madheswaran, S. (2021) Experimental Studies on Mechanical Behaviour of Polylactide (PLA) Matrix—Aluminium Oxide (Al2O3) Particles Reinforced Composites. In: Advances in Materials Research. springer, pp. 589-597.

Glad Shiya V., Belsini and K., Sharmila (2021) Language Processing and Python:. In: Language Processing and Python. IGI Global, pp. 93-119.

Gnanaguru, Gnaneswari and Priscila, S.Silvia and Sakthivanitha, M. and Radhakrishnan, Sangeetha and Rajest, S. Suman and Singh, Sonia (2024) Thorough Analysis of Deep Learning Methods for Diagnosis of COVID-19 CT Images:. In: Advancements in Clinical Medicine. IGI, pp. 46-65.

Godavari, Amar and Manickamoorthi, Nagerathinam (2021) Role of Micronutrients and Trace Elements in Diabetes Mellitus: A Review. In: Structure and Health Effects of Natural Products on Diabetes Mellitus. Springer Singapore, Singapore, pp. 297-307. ISBN 978-981-15-8791-7

Govindaraju, P and Mabel, M Maani (2015) Contingency Factors Impacting the Rural Information and Communication Technology Hubs:. In: Handbook of Research on Cultural and Economic Impacts of the Information Society. IGI Global, pp. 526-546.

Hari, Somya and Murugan, Abirla and Sudharsan, Meenambiga Setti (2024) Computational Evaluation of Peanut Skin Bioactive Compounds for Cancer Treatment. In: Computational Approaches in Biotechnology and Bioinformatics. CRC Press, Boca Raton, pp. 216-250. ISBN 9781003354437

Hari, Sowmya and Balaji Harshan, P. and Punniavan, Sakthiselvan and Sudharsan, Meenambiga Setti and Ramadoss, Govindarajan (2023) Valorization of industrial wastes. In: Valorization of Wastes for Sustainable Development. Elsevier, pp. 371-394.

Haripriya, M. and Ilakkiya Bharathi, K. and Nivetha, V. and Sudharsan, Meenambiga Setti and Punniavan, Sakthiselvan and Hari, Sowmya and Ramadoss, Govindarajan (2023) Mammals’ dung and urine for fuel production. In: Valorization of Wastes for Sustainable Development. Elsevier, pp. 91-111.

Hema, L. K. and Dwibedi, Rajat Kumar and Vanitha, V. and Dey, Animesh Chandra and Jothlakshmi, G. R. and Dwibedi, Sanat Kumar (2024) Fusing Medical Images Using Pyramid Decomposition by DLCNN Method:. In: Information Resources Management Association. Information Resources Management Association, pp. 34-45.

Hema Shankari, K. and Mathivilasini, S. and Arasu, Dilli and Suseendran, G. (2021) Genetic Algorithm Based on Test Suite Prioritization for Software Testing in Neural Network. In: Genetic Algorithm Based on Test Suite Prioritization for Software Testing in Neural Network. Springer, pp. 409-416.

Hemalatha, R.J. and Chandrasekaran, R. and Thamizhvani, T.R. and Josephin Arockia Dhivya, A. and Sangeethapriya, K. and Keerthana, A. and Srividhya, G. (2020) Biomedical instrument and automation: automatic instrumentation in biomedical engineering. In: Handbook of Data Science Approaches for Biomedical Engineering. Elsevier, pp. 69-101.

Humayun, Mamoona and Jhanjhi, N. Z. and Talib, M. N. and Shah, Mudassar Hussain and Suseendran, G. (2021) Cybersecurity for Data Science: Issues, Opportunities, and Challenges. In: Lecture Notes in Networks and Systems. Springer, pp. 435-444.

Jabir, K. and Thirumurthi Raja, A. (2023) Prediction of Lung Cancer from Electronic Health Records Using CNN Supported NLP. In: Prediction of Lung Cancer from Electronic Health Records Using CNN Supported NLP. Springer, pp. 549-560.

Jaculine Priya, G. and Saradha, S. (2022) Machine Learning for Information Extraction, Data Analysis and Predictions in the Healthcare System: Knowledge Engineering with Big Data Analytics. In: Handbook of Intelligent Healthcare Analytics. Wiley, pp. 327-343. ISBN 9781119792550

Jansi, B. and Sumalatha, V. (2023) The Security Constructions and Enhancements of Smart Wearable Devices in Modern Technologies and Health Monitoring System. In: The Security Constructions and Enhancements of Smart Wearable Devices in Modern Technologies and Health Monitoring System. Springer, pp. 461-471.

Jansi Rani, T. and Krishan Priya, V. (2023) Exploring the Concept of Managing Women Employees' Work-Life Balance in Information Technology Company: Data-Centric and AI-Enabled Approaches. In: Designing Workforce Management Systems for Industry 4.0. CRC Press, Boca Raton, pp. 265-284. ISBN 9781003357070

Jayakrishnan, R. and Sridevi, S. (2023) A Comparative Study of Gene Expression Data-Based Intelligent Methods for Cancer Subtype Detection. In: A Comparative Study of Gene Expression Data-Based Intelligent Methods for Cancer Subtype Detection. Springer, pp. 457-467.

Jayakumar, P. and Suman Rajest, S. and Aravind, B. R. (2022) An Empirical Study on the Effectiveness of Online Teaching and Learning Outcomes with Regard to LSRW Skills in COVID-19 Pandemic. In: Technologies, Artificial Intelligence and the Future of Learning Post-COVID-19. Springer, pp. 483-499.

Jayaraman, Vaishnavi and Parthasarathy, Saravanan and Lakshminarayanan, Arun Raj and Sridevi, S. (2021) Crop Recommendation by Analysing the Soil Nutrients Using Machine Learning Techniques: A Study. In: Crop Recommendation by Analysing the Soil Nutrients Using Machine Learning Techniques: A Study. Springer, pp. 15-26.

Jayashree, G. and Priya, C. (2020) Comprehensive Guide to Implementation of Data Warehouse in Education. In: Comprehensive Guide to Implementation of Data Warehouse in Education. Springer, pp. 1-8.

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This list was generated on Wed Mar 12 16:46:56 2025 IST.