TY - BOOK AU - Venu Gopal Rao,K. AU - Krishna Prasad,A.V. AU - Vijaya Bhaskar,Seelam Ch ED - SpringerLink (Online service) TI - Advances in Computational Intelligence: First International Conference, ICACI 2023, Hyderabad, India, December 15-16, 2023, Proceedings T2 - Communications in Computer and Information Science, SN - 9783031700019 AV - QA76.9.D343 U1 - 006.312 23 PY - 2024/// CY - Cham PB - Springer Nature Switzerland, Imprint: Springer KW - Data mining KW - Computational intelligence KW - Artificial intelligence KW - Data processing KW - Data Mining and Knowledge Discovery KW - Computational Intelligence KW - Data Science KW - Artificial Intelligence N1 - -- Smart Helmet. -- Brain Tumor Detection Using CNN. -- An Efficient Machine Learning Enabled Algorithm to Predict Student Performance in Higher Education. -- Accelerating Neural Network Model Deployment with Transfer Learning Techniques using Cloud Edge - Smart IoT Architecture. -- Machine Learning Revolutionizing in Gestational Diabetes Care. -- Detection of Malwares on Android Devices Using A Genetic Algorithm - Based Feature Selection And Machine Learning. -- Deep Learning - Based Health Care System Using Chest X - Ray Scans for Image Classification. -- Advancements and Challenges in Text Summarization: An Overview of Methods and Strategies in Brief. -- A Novel Methodology to Predict and Detect the Consumption of Power for Smart Commercial Areas using Stacked GRU and LSTM (called Deep GRULS Architecture) N2 - This book constitutes the refereed proceedings of the First International Conference on Advances in Computational Intelligence, ICACI 2023, held in Hyderabad, India, during December 15-16, 2023. The 7 full papers and 2 short papers included in this book were carefully reviewed and selected from 234 submissions. These papers focus on the diverse applications of Data engineering in various areas such as Data Mining, Artificial Intelligence, Natural Language Processing, Pattern Recognition, and Machine Learning UR - http://libcon.rec.uabc.mx:2048/login?url=https://doi.org/10.1007/978-3-031-70001-9 ER -