Human Machine Interaction in the Digital Era Towards Conversational Artificial Intelligence

1. A Performance of Comparative Study on Hate Speech Detection using Deep Learning Algorithms
S. Sankari and S. Silvia Priscila
2. A Study on Technology-Related Distraction in College Student’s Academics Using Data Mining Techniques
S. Sankari and S. Silvia Priscila
3. A Study of Various Deep Learning Methods Used for Image Splicing Detection
Lisha Varghese, J. Jebamalar Tamilselvi and Rubin Thottupurathu Jose
4. ASO-GRU-NN: Atom Search Optimized Gated Recurrent Units based Neural Network for the Severity Classification of COVID-19 Using Different Feature Extraction Methods
J. Kalaivani and A. S. Arunachalam
5. Deep Learning Based Brain Tumour Detection Using Image Processing
Asma Parveen A. and Kamalakannan T.
6. Detection and Notification System in Emergency Vehicles for Unidentified Accident Victims
V. Dinesh, R. Krithika and S. Kirti Sri
7. E-Learning Technologies with Interactive Factors and Elements on the Perspective of Knowledge Management
C. Rajeshkumar and K. Rajakumari
8. Expert System in Wearables and Web of Things Using Artificial Neural Network
P. Vichitra and S. Mangayarkarasi
9. Cognitive Based Learning in Feed Forward MLP for Classification of Neurodegenerative Disorders
B. Mahalakshmi and A. Thirumurthi Raja
10. Prediction of Lung Cancer Disease in Human Beings from Biomedical Text Dataset Using Transfer Learning
K. Jabir and A. Thirumurthi Raja
11. An End-to-End Machine Learning Model to Predict the First Innings Score in IPL
Helen Josephine V.L., Mansurali A., Aishwarya Sathyan and Sujay S. Hedge
12. Real Time Intrusion Detection Network Using Artificial Neural Network
Deepa M. and J. Dhilipan
13. Detection of People or Animals Using Deep-learning in Railway Tracks
V. Dinesh, G. Mahalaxmi and M. Manjari
14. Confronting Floating Plastic Debris as Pollutants in Marine Using Technological Solutions Deep Learning Approach
S. Belina V. J. Sara and A. Jayanthiladevi
15. Recommender Model for e-Learning Environment Using Enhanced Support Vector Space Model (ESVM)
Manikandan Rajagopal, Surekha R Gondkar, Ramkumar Sivasakthivel and Gobinath Ramar
16. Ripeness Detection in Watermelon Using CNN
A. T. Madhavi, K. Rahimunnisa, E. Thilagavathy and N. Vithiya
17. Heart Disease Prediction and Analysis Using Ensemble Classifier in Machine Learning Techniques
Jasmine Jinitha A. and S. Mangayarkarasi
18. Study of Factors associated with Diets and Prevalence of Overweight and Obesity among Adolescent Girls
A. Maria Vinitha and T. Pramananda Perumal
19. Comparison of Distinct Mel-Frequency Cepstral Co-efficient (MFCC) Selection for Heart Disease Prediction Using Machine Learning Algorithms
K. Vetriselvi and G. Karthikeyan
20. Artificial Intelligence Based Virtual Health Assistant and Patient Monitoring System
D. Kanchana, J. Shobana and A. V. Kalpana
21. A Novel OLPP Based LVQ-LM Network for Health Care Dataset
Poornima V. and Surya Susan Thomas
22. Effectiveness of Chat Bots to Detect Health Insurance Fraudulent Claims
Surya Susan Thomas, Roby Jose and Anu Joseph
23. Polycystic Ovary Syndrome Classification Using Machine Learning Algorithm
V Sumathy, Rexline S. J., Kavya M. and Mary Heaven J.
24. Deep Predictive Analytics of Online Learning Materials to Customer Clusters with User Intention and Behavior Patterns
J. Dhilipan, S. Belina V. J Sara, Haarindra Prasad and Raman Raguraman
25. Intelligent Home Automation with Multiple Languages Voice Control
P. Vinayagam, R. Ajith, R. Arvindkumar and N. Kishwanth
26. Commercial Power Hip Kinfolk Organized Commerce Plus the Basic Aimed at Scientific Office
A. Jayabal and I. Enock
27. Review on Student Performance Evaluation System for E-Learning
Nisha Raveendran and N. Vijayalakshmi
28. Modified LSTM for Prediction of Pollutants Concentration
K. Shyamala and R. Sujatha
29. An Effective Analysis of Feature Selection Methods for High Dimensional Data—A Survey
M. Kalaivani, K. Abirami and K. Dharmarajan
30. Management Information System for Operation, Planning and Control of  Wind Energy Farms
E. Kirubakaran and K. Karthikeyan
31. Deep Learning Procedures to Detect Breast Cancer in Mammogram and MR Images and Relative Exploration of Images
P. Kanimozhi and S. Sathiya
32. Usage and Adoption of Technology Among Christians During Covid-19: Based on UTAUT2 Model
Fr. Marvin Paul Frank and Ginu George
33. Artificial Intelligence (AI) Enabled Decision Framework for Supply Chain Resilience (SCRs)
Manikandan Rajagopal, Sreerengan V. R. Nair and Ramkumar Sivasakthivel
34. Prognosticating Mobile Application Usage Pattern with Modified Genetic Algorithm and Dynamic Density Updated Clustering Approach
P. Priyanga and Padmapriya Arumugam
35. Differential Privacy for Set Valued Data Publishing to Avoid Illegal Attack
T. Puhazhendhi and K. Rajakumari
36. Recognition and Classification of Thyroid Nodule with Deep Recurrent Neural Network Using Ultrasound Images
V. Sandhiya, R. Sri Malini and A.T.Madhavi
37. Recognizing Spectral Patterns of Phytophthora Infestans on Tomatoes Using Image Processing Techniques
Suresh D and Sree Kala T.
38. Operating Wind Energy Turbine Generator as Smart Factory Using Management Information System Equipped with Industry 4.0 Standards
E. Kirubakaran and K. Karthikeyan
39. A Review on Machine Learning Techniques to Identify Plant Diseases
Sona Maria Sebastian, J. Jebamalar Tamilselvi and Rubin Thottupurath Jose
40. SPK-A Traffic Violation Detection System
V. Dinesh, S. Phvan and P. K. Raghul
41. Hybrid Leach Protocol and Genetic Algorithm to Obtain Route Node in Under Water Sensor Network
K. Prakash and S. Sathya
42. A Drastic Review on Self-Efficacy of Hard of Hearing and Mutant Students Using Assistive Technologies in Higher Education
Agusthiyar R. and A. Chitra
43. Uncovering the Secrets of Stegware: An In-Depth Analysis of Steganography and its Evolving Threat Landscape
M. Anitha and M. Azhagiri
44. Wheelchairs—A Boon in the Rehabilitative Era
P. Raja Rajeswari Chandni, Shiddharth S., V. S. R. Kamaleshwaran, B. Aarthi and M. Jeyaganesh
45. CoV-3DM: COVID-19 Disease Detection Based on Ensemble SMOTE Technique with Routine Blood Test Parameters
L. William Mary and S. Albert Antony Raj
46. A Research on Patient Engagement Using Predictive Analytics
N. Revathi, P. Roshni Mol, J. Thimmia Raja and C. Immaculate Mary
47. Healthcare in Your Hands: Sentiment Analysis on Indian Telemedicine in the Era of Global Pandemic
Konda Adithya and R. Arulmoli
48. Effectiveness of Behavioural and Personality Aspects in Enhancing the Organizational Culture of the Teaching Professionals
Jayanthi M. and Radhakrishnan M.

Biography

Prof. J. Dhilipan

Dr. J. Dhilipan is working as a professor and Head in the Department of Computer Science and Applications (MCA), SRM Institute of Science and Technology, Ramapuram, Chennai-89. He received Ph.D degree from Manonmaniam Sundranar University, M. Phil degree from Dravidan University and M. C. A degree from Madurai Kamaraj university. He has 21 years of teaching experience in academic institutions. He is passionate on teaching, imparting, training, motivating and helping of young minds with knowledge and good discipline. He holds 47 publications in reputed journals and 60 conference publications.   more than 96 papers in National and International reputed journals with 70 citations and 5 h-index. Serving an Organizing Chair, Program Chair and Program Committees of several national and International technical programs. His main areas of research include Artificial Intelligence, Machine Learning and Data Analytics.

Prof. V. Saravanan

Prof. V Saravanan has completed his PhD in Computer Science in the Department of Computer Science and Engineering, Bharathiar University during 2004. His research area includes Artificial Intelligence, Machine Learning and Software Agents.  In his credit he has 90+ publications in international journals indexed with ISI, Scopus etc., He has presented many research papers in National, International conferences and Journals and also guiding many researchers leading to their PhD degree. He has totally 25 years’ experience in teaching including 3 years as researcher in Bharathiar University. He has guided 18 PhD scholars in Computer Science. As the credit toward funded projects, he had completed with Majmaah University and King Abdulaziz City for Science and Technology, Kingdom of Saudi Arabia with the total project cost of USD $41500. He is a Senior Member of IEEE, life member of Computer Society of India, Indian Society for Technical Education. He worked as Professor & Head of the Department of Computer Applications in Karunya University, Coimbatore and as Director-Computer Applications of Dr. NGP Institute of Technology, Coimbatore, and Dean-Computer Studies, SNS Institutions, Coimbatore. At present he working as Vice-Principal(Academics), Faculty of Science and Humanities, SRM Institute of Science and Technology, Ramapuram, Chennai, Tamilnadu, India.

Prof. R. Agusthiyar

Prof. R. Agusthiyar is well known academician in the field of Higher Education with 21 years of teaching experience and he started his teaching profession from 2002 to till date and now he is working as a Professor and Head in Department of Computer Applications (BCA), Faculty of Science and Humanities, SRMIST, Ramapuram Campus. He has received his Post Graduate MCA degree from Madurai Kamaraj University, Tamil Nadu, India in 2001, and M. Phil degree from Periyar University, Tamil Nadu, India in 2008 respectively. He has received his Ph.D in Data mining at Anna University in the Year 2017 under the guidance of Prof. Dr. K. Narashiman Anna University. His research interests include Data mining, Artificial Intelligence and Machine Learning. He has published 14 research publications in indexed journals and 25 publications in International and National Conferences. He is guiding 8 research scholars in SRM Institute of Science and Technology. He has two patents in the field of IoT and Machine Learning.