E-grāmata: Advances in Data and Information Sciences: Proceedings of ICDIS 2024, Volume 1

Emotion Classification of Mixed-Source Hindi Language Text Using Deep
Learning.- Emotion Classification of Mixed-Source Hindi Language Text Using
Deep Learning.- Heart Disease Prediction Using Machine Learning  Algorithms.-
Cyber Security Threats Prediction for Credit Card transactions Using Machine
Learning Algorithms.- Interpreting Personality Traits in Social Media Images
through Visual Question Answering.- A Framework for Speech based Emotion
Recognition using Neural Networks.- Real-Time Indoor Workout Analysis Using
Computer Vision and Mediapipe.- Automated Image Caption Generator for
Visually Impaired using VGG16 and LSTM.- WOAFS: Feature Selection using Whale
Optimization Algorithm for Software Fault Prediction.- Time Series
Forecasting for Stock Price Movement: Leveraging NLP for Stock Market
Prediction.- Optimizing Hyper-Parameters for Sanskrit to English Neural
Machine Translation with LSTM and GRU Models.- Advancements in Image-Guided
Surgical Procedures: Enhancing X-Ray Images, Cross Marker Classification, and
C-Arm Rotation Detection.- Deep Learning Based CNN Model for Classification
and Prediction of Leaf Diseases.- Humidity Data Acquisition and Regulation
for Optimal Environmental Condition.- AI assisted smart agriculture technique
for predicting crop nutrients.- Traffic Sign Recognition and Classification
with Convolution Neural Network (CNN) and OpenCV.- User Segmentation with RFM
Analysis and K-Means Clustering for Play Store Database via Machine
Learning.- Onion Price Prediction Assisted by Exploratory Data Analysis
Employing ARIMA Technique for Varanasi.- Revolutionizing Indian Elections:
Introducing Blockchain to Ballot Based Voting.- AI Mapping for Rapid Disaster
Assessment.- AI Effect On Modern Healthcare System.- Predicting Chronic
Kidney Disease Stages Through Ensemble Machine Learning Techniques.- Medical
Image Classification: Binary Classification of X-ray Images to Classify
Fractures in Bones.- Semantic Parsing of Data Practice Statements in Privacy
Policies Using BERT Models.- Research on Security Tests Methods for IoT
Devices.- Method of probabilistic identification of Images in solving
problems of applied Photogrammetry.- Using Patterns for Autonomous Mobile
Robot Control Tasks.

Prof. Shailesh Tiwari, Ph.D. currently works as a Professor and Additional Director at KIET Group of Institutions, Ghaziabad, UP, India. He is an alumnus of Motilal Nehru National Institute of Technology Allahabad, India. His primary areas of research are software testing, implementation of optimization algorithms and machine learning techniques in various engineering problems. He has published more than 100 publications in International Journals and in Proceedings of International Conferences of repute. He has edited special issues of several Scopus, SCI and E-SCI-indexed journals. He has also edited several books published by Springer.  He has published 6 Indian patents as IPRs. He has organized several international conferences under the banner of IEEE, ACM and Springer. He is a Senior Member of IEEE, member of IEEE Computer Society, Fellow of Institution of Engineers (FIE).





Dr. Munesh Chandra Trivedi has more than 20 years of experience in the field of Computer Science & Engineering and has worked in Prestigious Institutions. Currently working as Professor (Computer Science), PSSCIVE Bhopal (A Constituent unit of NCERT, Under Ministry of Education, Government of India). He had successfully filed 65 patents (52 National and 13 International Patents (Germany, South Africa, and Australia)), out of which 35 patents were granted. He has published 12 textbooks and 153 research papers in different International Journals and Proceedings of repute. He has also edited 38 books for Springer Nature. He successfully supervised 14 PhD students and received numerous awards, including the Young Scientist Visiting Fellowship, Albert Einstein Research Scientist Award, Best Senior Faculty Award, Outstanding Scientist, Dronacharya Award, Author of the Year, and Vigyan Ratan Award from different national, as well as international forums. He has organized more than 32 international conferences technically sponsored by IEEE, ACM, and Springer.





Prof. Mohan L. Kolhe is with the University of Agder (Norway) as full professor in electrical power engineering with focus in smart grid and renewable energy in the Faculty of Engineering and Science. He has also received the offer of full professorship in smart grid from the Norwegian University of Science and Technology (NTNU). He has more than twenty-five years academic experience at international level on electrical and renewable energy systems. He is a leading renewable energy technologist and has previously held academic positions at the world's prestigious universities e.g. University College London (UK / Australia), University of Dundee (UK); University of Jyvaskyla (Finland); Hydrogen Research Institute, QC (Canada); etc.





Prof. Brajesh Kumar Singh is presently working as Professor and Head in Department of Computer Science and Engineering at Raja Balwant Singh Engineering Technical Campus, Agrawith more than 22 years of Teaching experience. Presently, HisArea of research work is Software Engineering, Software Project Management, Data Mining, Soft Computing, Computer Vision, IoT, and Cloud Computing. He has completed his doctorate degree in Computer Science and Engineering from Motilal Nehru National Institute of Technology, Allahabad, Prayagraj (U.P.). He has supervised 01 Ph.D. candidate from AKTU Lucknow and presently supervising 3 Ph.D. candidates. He has more than 80 publications to his credit in national and international journals and proceedings of high repute with large number of citations of his research manuscripts.