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Aanandhi Muthukumar, Vijey and Devanandan, Praveen and Chowdary Puvvada, Ranadheer (2023) Role of Micronutrients in Tuberculosis Management. In: Integrated Science ((IS,volume 11)). Springer Nature Link, pp. 321-329.

Aarthi, S. and Sheena, A. D. (2025) A Study of Flood Analysis for the Hydrological Flow Using Geoinformatics Technology. In: Lecture Notes in Networks and Systems ((LNNS,volume 1122)). Springer Nature Link, pp. 137-146.

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

Afroze, F. Mashiya and Poornima, V. (2025) Comparative Study of the IoT Forensics Framework Using AI/ML Approaches for the Detection and Prevention of Cyberattacks. In: Proceedings of Fourth International Conference on Computing and Communication Networks. Springer, pp. 659-668.

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

Angelin, A. and Devika, P. and Selvanayaki, G. and Hari, Sowmya and Sudarshan, Meenambiga Setti (2024) Application of Biological Techniques in Mitigation of Radioactive Pollutant. In: Environmental Science and Engineering ((ESE)). Springer Nature Link, pp. 373-391.

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

Anitha, K. and Anitha, A. and Preetha, S. and Sam, Annie (2025) Seamless Data Flow: Constructing End-to-End Data Pipelines for Real-time Marketing Analytics. In: Data Engineering for Data-driven Marketing. Emerald Publishing Limited, pp. 73-90. ISBN 978-1-83662-326-7

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.

Anuja, A. V. and Rajinikanth, Sarojini K. and Shanmugam, Lalitha and Samuel, Prince Johnson (2022) Interferons. In: Therapeutic Proteins Against Human Diseases. Springer Nature Singapore, Singapore, pp. 19-28. ISBN 978-981-16-7897-4

Aravind, A. and Poongodi, A. (2025) Evaluation of MANET Routing Protocols: An AODV, DSR, and DSDV Perspective. In: Lecture Notes in Networks and Systems ((LNNS,volume 1421)). Springer Nature Link, pp. 121-134.

Aravind, K. and Arun, S. and S., Ivo Romauld and Pazhamalai, Vivek (2024) Transforming Healthcare: Exploring the Next Generation of Technologies. In: Green AI-Powered Intelligent Systems for Disease Prognosis. IGI Global, pp. 21-40.

Arjun, Ponnaganti and Bhargavi, C. H. and Divya, Komati and Dhanwanth, Batini and Padmaja, Pabbathi and Sineghamathi, G. (2024) Enhancing House Price Prediction Accuracy and Precision: A Data Mining Approach with Python and Stacking Algorithm. In: Contributions to Finance and Accounting ((CFA)). Springer Nature Link, pp. 195-205.

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

Arumugam, Sajeev Ram and Sheela Gowr, P. and Anna Devi, E. and Elavarasi, J. and Karuppasamy, Sankar Ganesh (2025) Optimizing Tomato Leaf Disease Identification Using a Hybrid Spatial-Temporal Model and Attention Mechanism. In: Artificial Intelligence Based Smart and Secured Applications. Springer, pp. 99-110.

Arun Pandian, S. and Rajakumari, K. and Vivek, P. and Meenambiga, S. S. and Thiruvengadam, S. and Ivo Romauld, S. (2025) Microbial Remediation of Radioactive Pollutant from the Environment. In: Environmental Science and Engineering ((ESE)). Springer Nature Link, pp. 43-67.

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.

Arunachalam, P. and Usharani, R. and Thirumal, S. and Swarnalatha, A. P. and Maheswari, B. Uma (2024) Study on AI-Powered Advanced Drug Discovery for Enhancing Privacy and Innovation in Healthcare:. In: AI-Powered Advances in Pharmacology. IGI Global, pp. 25-60.

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.

Ashok, P. and Gorli, Ravi and Parameswari, S. and Sridevi, Lakshmi and Janaki, N. and Gopinath, S. and Anandaram, Harishchander and Shreenidhi, K. S. and Iyengar, Samaya Pillai (2025) Artificial Intelligence: Augmented Integrated Development Environments for Boosting Programmer Productivity. In: Artificial Intelligence for Cloud-Native Software Engineering. IGI Global Scientific Publishing, pp. 29-56.

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 and Doke-Bagade, Priyanka E. (2024) Application of New Biological Entities (NBEs) as Therapeutics: Characterization, Restoration and Optimization. In: Biosystems, Biomedical & Drug Delivery Systems. Springer Nature Singapore, Singapore, pp. 287-309. ISBN 978-981-97-2596-0

Bagade, Om M. and Doke-Bagade, Priyanka E. and Kothawade, Sachin N. and Amrutkar, Rakesh D. (2024) Polymeric Scaffolds in Tissue Engineering. In: Polymers in Modern Medicine (Part 1). BENTHAM SCIENCE PUBLISHERS, pp. 68-100. ISBN Sachin Namdeo Kothawade Department of Pharmaceutics SCSSS’s Sitabai Thite College of Pharmacy Shirur-412210, Dist-Pune, Maharashtra, India Vishal Vijay Pande RSM’s N. N. Sattha College of Pharmacy Ahmednagar-414001, Maharashtra, India Polymer

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

Bagade, Om Mahadeo and Doke, Priyanka Eknath (2024) Advancements in Combating Pathogens in Infectious Biomedical Waste: Strategies for Pathogen Control and Health Protection. In: Hospital Waste Management and Toxicity Evaluation. IGI Global, pp. 191-218.

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.

Bari, Ahamed Basha Abdul and Samuel, Prince Johnson (2022) Therapeutic Proteins Used in Human Pancreatic Disease. In: Therapeutic Proteins Against Human Diseases. Springer Nature Singapore, Singapore, pp. 125-140. ISBN 978-981-16-7897-4

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

Bathushaw, M. Husain and Nagasundaram, S. (2025) Securing Healthcare Systems: Modern Threats and Strategic Developments in Cybersecurity. In: Lecture Notes in Networks and Systems ((LNNS,volume 1241)). Springer Nature Link, pp. 303-315.

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, A. and Hemamalini, U. and Prasanth, A. (2025) Augmented machine learning towards smart self-powered sensing systems. In: Self-Powered Sensors. Elsevier, pp. 31-45.

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.

Bhuvana, R. and Hemalatha, R. J. and Baskar, S. and Kosalaram, Krishnakumar (2024) Introduction to Smart Hospital. In: Artificial Intelligence‐Enabled Blockchain Technology and Digital Twin for Smart Hospitals. Wiley, pp. 1-18. ISBN 9781394287420

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.

Bhuvaneswari, Sayee and Vetrivel, Muralidharan (2024) The Painful Dilemma: The Confounding Effects of Emotions and Rationality on Pain-Driven Decisions - A Neuroeconomics Perspective. In: Behavioral Economics and Neuroeconomics of Health and Healthcare. IGI Global, pp. 279-298.

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, P. and Uddandrao, V. V. Sathibabu and Ganapathy, Saravanan and Sasikumar, Vadivukkarasi and Prakash, B. (2025) A Comprehensive Review of Molecular Targets and Therapeutic Potential of Phytomedicine for the Treatment of Breast Cancer. In: Therapeutic Plants: Recent Advances in the Use of Herbs as Alternative Medications. BENTHAM SCIENCE PUBLISHERS, pp. 136-187. ISBN V. V. Sathibabu Uddandrao G. Saravanan Therapeutic Plants: Recent Advances in the Use of Herbs as Alternative Medications Therapeutic Plants: Recent Advances in the Use of Herbs as Alternative Medications offers an in-depth exploration of how her

Chandrasekaran, R. and T. R., Thamizhvani and R., Kishore Kanna (2024) Emotional Behaviour Study Using AI Tools:. In: Clinical Practice and Unmet Challenges in AI-Enhanced Healthcare Systems. IGI Global, pp. 171-184.

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

Chinnakamma Devi, J. and Mahalakshmi, R. (2025) Integration of Machine Learning Algorithms for Land Classification Using Satellite Images. In: 2024 Real-Time Intelligent Systems. Springer, pp. 45-55.

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.

Deepa, R. and Jayalakshmi, V. and Thilakavathy, P. and Manikandan, G. (2025) CropVigil: Tomato Leaf Disease Detection Using Deep InfoMax Algorithm. In: Harnessing AI for Control Engineering. IGI Global Scientific Publishing, pp. 137-154.

Deepa, S. and Booba, B. (2025) Hybrid Ensemble Gradient Boosting Algorithm to Predict Diabetes Health Care Analytics. In: Communications in Computer and Information Science. Springer Link, pp. 92-105.

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.

Devendran, Rajkumar and Aneetha, A. S. (2025) Image Classification and Detection of Artificial Images Using CNN Models. In: Communications in Computer and Information Science ((CCIS,volume 2425)). Springer Nature Link, pp. 79-88.

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, Brindha and Thaiyalnayaki, M. and Vasantha, S. (2024) Strategic Management of AI-Enhanced Alzheimer's Disease Prediction Models: Navigating Ethical and Regulatory Frontiers. In: AI-Driven Alzheimer's Disease Detection and Prediction. IGI Global, pp. 131-146.

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.

Devi, Kabirdoss and Vardhini, V. (2025) The Role of the Board of Directors in Corporate Governance: A Case Study of Byju's. In: Approaches to Global Sustainability, Markets, and Governance ((AGSMG)). Springer Nature Link, pp. 89-106.

Dharani, S. and Ganesan, Nirmala and Kesavan, M. (2025) Pioneering Raman spectroscopy for precise breast cancer diagnosis. In: Innovations in Biomedical Engineering. Elsevier, pp. 359-386.

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Kumar Reddy, Konatham Teja and Deepthi, Kurni Lakshmi and Krosuri, Pavankumar and Gupta, Jeetendra Kumar and Nuli, Mohana Vamsi and Dantinapalli, Venkata Lakshamana Sagar and Elumalai, Selvaraja and Krishnan, Karthickeyan (2025) Drug detection methods. In: Nanotechnology-Based Sensing Platforms for Illicit Drugs. Elsevier, pp. 63-84.

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Kumaraswamy, J. and Siva Ramakrishna, Ch. and Ramasubramanian, S. and Mishra, Rahul and Sakhare, D. T. and Karthik, K. and Baskar, S. and Pandey, Krishna Kant (2025) Design and Analysis of Gudgeon Pin to Minimize Stress Concentration by Selecting Different Material Through FEA. In: Lecture Notes in Mechanical Engineering ((LNME)). Springer Nature Link, pp. 339-352.

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N., Shyamala Devi and K., Sharmila (2022) Tapering Malicious Language for Identifying Fake Web Content:. In: Using Computational Intelligence for the Dark Web and Illicit Behavior Detection. IGI, pp. 206-216.

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This list was generated on Sun Aug 31 00:50:09 2025 IST.