Consolidated 2023
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S.No | Authors | Title | Book details | Volume and Issue | Year |
---|---|---|---|---|---|
1 | Annaamalai U.; Dhiyaneshwar A.; Suthakar I.; Karthiga S.; Nisha A.C.V. | Introduction to augmented reality | Handbook of Research on Data Science and Cybersecurity Innovations in Industry 4.0 Technologies | pp: 436-455 | 2023 |
2 | Parkavi R.; Vigneshwaran S.; Sambath N.; Sanjai P. | Charity management using blockchain technology | Handbook of Research on Data Science and Cybersecurity Innovations in Industry 4.0 Technologies | pp: 291-314 | 2023 |
3 | Ramanujam E.; Chandrakumar T.; Sakthipriya D. | Investigation on improving the performance of class-imbalanced medical health datasets | Machine Learning for Healthcare Systems: Foundations and Applications | pp: 1-18 | 2023 |
4 | Athiappan K.; Kandasamy A.; Karthik C.; Rajalakshmi M. | ANN-Based cracking model for flexible pavement in the urban roads | Self-Powered Cyber Physical Systems | pp: 227-242 | 2023 |
5 | Parkavi R.; Iswarya M.R.J.; Kirithika G.; Madhumitha M.; Varsha O. | Data breach in the healthcare system: Enhancing data security | Handbook of Research on Data Science and Cybersecurity Innovations in Industry 4.0 Technologies | pp: 418-434 | 2023 |
6 | Riddhi S.; Kanishta G.; Parkavi R.; Abirami A.M. | Flood prediction and recommendation system | Handbook of Research on Data Science and Cybersecurity Innovations in Industry 4.0 Technologies | pp: 242-259 | 2023 |
7 | Karthikeyan P.; Vivek A.R. | Bibliometric review on industry 4.0 in various sites: Online blogs and youtube | Handbook of Research on Data Science and Cybersecurity Innovations in Industry 4.0 Technologies | pp: 141-161 | 2023 |
8 | Devi M.M.N.; Subbulakshmi B.; Nivedithaa G.N.; Swathi R. | Analysis of campus recruitment data and career counseling in the engineering sector: Engineering career guidance by data exploration | Handbook of Research on Data Science and Cybersecurity Innovations in Industry 4.0 Technologies | pp: 96-116 | 2023 |
9 | Karthikeyan P.; Surya K.; Vibishanan S.; Vivek A.R.; Sakthi S. | Intelligent Handy Healthcare System in Medical Ecosystem | Data-Centric AI Solutions and Emerging Technologies in the Healthcare Ecosystem | pp: 349-360 | 2023 |
10 | Sasikumar R.; Karthikeyan P.; Murugan T. | Privacy and security through blockchain in industry 4.0: An industrial cybersecurity perspective | Handbook of Research on Data Science and Cybersecurity Innovations in Industry 4.0 Technologies | pp: 315-334 | 2023 |
11 | Vinoth Chakkaravarthy G.; Lavanya R.; Alli P. | An iot-based pregnancy complexity identification using machine learning | Technological Tools for Predicting Pregnancy Complications | pp: 222-229 | 2023 |
12 | Malini A.; Rajasekaran U.; Sriram G.K.; Ramyavarshini P. | Industry 4.0: survey of digital twin in smart manufacturing and smart cities | Digital Twin for Smart Manufacturing | pp: 89-110 | 2023 |
13 | Muthusamy M.; Periyasamy K. | Artificial intelligence for renewable energy systems and applications: A comprehensive review | Philosophy of Artificial Intelligence and Its Place in Society | pp: 160-186 | 2023 |
14 | Veerappan B.; Gokulraju K.L.; Sreenivas S.; Nagarajan K.J. | Failure Analysis in a Multilayerd Glass Fiber Reinforced Polyester Composite Plates under Flexural Loading | Materials Science Forum | 1081 pp: 67-81 | 2023 |
15 | Kamaraj S.A.; Gautham M.; Karthikeyan S.; Parkavi R. | Enhancing automatic speech recognition and speech translation using google translate | Handbook of Research on Data Science and Cybersecurity Innovations in Industry 4.0 Technologies | pp: 220-241 | 2023 |
16 | Kavitha D.; Anitha D.; Jeyamala C. | Identification of student groups for smart tutoring and collaborative learning based on online activities using neural networks | Handbook of Research on Data Science and Cybersecurity Innovations in Industry 4.0 Technologies | pp: 120-140 | 2023 |
17 | Raghav G.R.; Anoop M.S.; Jayadevan P.C.; Kumar R.A.; Nagarajan K.J.; Muthukrishnan D. | Fabrication techniques for printed and wearable electronics | Advances in Flexible and Printed Electronics: Materials, fabrication, and applications | - | 2023 |
18 | Raaja R.G.; Jawaharlal N.K.; Rajendranc A.K.; George G.; Earnest J.J. | Corrosion behaviour of additive manufactured materials and composites | Mechanical Properties and Characterization of Additively Manufactured Materials | pp: 121-140 | 2023 |
19 | Pandyan U.M.; Roomi S.M.M.; Priya K.; Sathyabama B.; Senthilarasi M. | Artificial intelligence approach for detecting macrocephaly and microcephaly in avoiding pregnancy complications | Predicting Pregnancy Complications Through Artificial Intelligence and Machine Learning | pp: 65-88 | 2023 |
20 | Chandrakumar T.; Bennet D.T.; Bennet P.S. | Fundamentals, limitations, and the prospects of deep learning for biomedical image analysis | Deep Learning in Medical Image Processing and Analysis | pp: 157-186 | 2023 |
21 | Kanthamani S. | Variants of Graphene Nanoribbon (GNR) Interconnects for THz Applications | Advanced Structured Materials | 190 pp: 55-68 | 2023 |
22 | Ananthi G.; Sridevi S.; Manikandan T. | Environment Twin Based Deep Learning Model Using Reconfigurable Holographic Surface for User Location Prediction | Studies in Computational Intelligence | 1103 pp: 71-83 | 2023 |
23 | Sriram G.K.; Rajasekaran U.; Malini A. | CNN Architecture and Classification of Miosis and Mydriasis Clinical Conditions | Studies in Computational Intelligence | 1103 pp: 125-134 | 2023 |
24 | Selsiya M.J.; Kalaiarasi M.; Rajaram S.; Venkatasubramani V.R. | Efficient Quantum Circuit for Karatsuba Multiplier | Studies in Computational Intelligence | 1085 pp: 79-96 | 2023 |
25 | Raja A.R.; Ramya S.T.; Rajalakshmi M.; Lokesh D.S. | A convolutional neural network for scoring of sleep stages from raw single-channel EEG signals | Deep Learning in Medical Image Processing and Analysis | pp: 141-155 | 2023 |
26 | Sakthipriya D.; Chandrakumar T.; Johnson B.; Kumar J.B.P.; Karthick K.A. | Analysis of preperimetric glaucoma using a deep learning classifier and CNN layer-automated perimetry | Deep Learning in Medical Image Processing and Analysis | pp: 225-235 | 2023 |
27 | Ashok Kumar B.; Sivaranjani A.; Senthilrani S.; Senthil Murugan A. | A Study on Various Medical Imaging Modalities and Image Fusion Methods | Lecture Notes in Computational Vision and Biomechanics | 37 pp: 111-126 | 2023 |
28 | Malini A.; Ramyavarshini P.; Sriram G.K.; Rajasekaran U. | Role of Object Detection for Brain Tumor Identification Using Magnetic Resonance Image Scans | Studies in Computational Intelligence | 1103 pp: 135-153 | 2023 |
29 | Gopichand M.; Rajeswari K.; Deepthi E. | Human–Machine Interface for Wheelchair Control Using sEMG Signals | Cognitive Science and Technology | pp: 395-406 | 2023 |
30 | Meena R.S.; Saranya R.; Deisy C.; Parthasarathy S.; Sridevi S.; Khan M.K.A.A. | A Decision Support System for Understanding the Importance of Two-Dosage Vaccination | Lecture Notes on Data Engineering and Communications Technologies | 139 pp: 317-327 | 2023 |
31 | Subramaniyan A. | Emerging applications of nanofluids | Applications of Multifunctional Nanomaterials | pp: 231-245 | 2023 |
32 | Mani Rajan M.S.; Ayyanar N. | Graphene-Based D-Shaped Gold-Coated Photonic Crystal Fiber for Transformer Oil Moisture Sensing | Advanced Structured Materials | 190 pp: 313-331 | 2023 |
33 | Sakthipriya D.; Chandrakumar T.; Hirthick S.; Sundar M.S.; Kumar M.S. | Brain tumor analyses adopting a deep learning classifier based on glioma, meningioma, and pituitary parameters | Deep Learning in Medical Image Processing and Analysis | pp: 259-271 | 2023 |
34 | Subbulakshmi B.; Nirmaladevi M.; Srimadhi J. | Human action recognition in smart home using deep learning technique | Artificial Intelligence, Blockchain, Computing and Security: Volume 2 | 2 pp: 370-375 | 2023 |
35 | Suguna M.; Thiagarajan P. | Deep learning applications in ophthalmology-computer-aided diagnosis | Deep Learning in Medical Image Processing and Analysis | pp: 237-258 | 2023 |
36 | Ramprakash B.; Muthuramalingam S.; Pragharsitha S.V.; Poornisha T. | Melanoma skin cancer analysis using convolutional neural networks-based deep learning classification | Deep Learning in Medical Image Processing and Analysis | pp: 283-296 | 2023 |
37 | Esther A.A.; Manoharan P.S.; Nivedita J.; Deepamangai P. | Control Strategy for Modified Quasi-Admittance Source Inverter | Lecture Notes on Data Engineering and Communications Technologies | 171 pp: 489-499 | 2023 |
38 | Subarna Kiruthiga A.; Arunkumar S.; Thirisha R.; Felicia Lilian J. | Role of Machine Learning in Renewable Energy | Sustainable Energy Solutions with Artificial Intelligence, Blockchain Technology, and Internet of Things | pp: 47-65 | 2023 |
39 | Saranya R.; Neeraja U.; Meena R.S.; Chandrakumar T. | Qualitative perception of a deep learning model in connection with malaria disease classification | Deep Learning in Medical Image Processing and Analysis | pp: 213-223 | 2023 |
40 | Jeyashree G.; Padmavathi S. | A Fog Cluster-Based Framework for Personalized Healthcare Monitoring | Research Advances in Network Technologies | pp: 85-100 | 2023 |
41 | Shalini R.; Manoharan P.S.; KumaraSabapathy N.; Kannayeram G. | Strategy for Charging of Battery and Supercapacitor Combined Storage System | Lecture Notes on Data Engineering and Communications Technologies | 171 pp: 839-847 | 2023 |