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Advances in Data Science and Artificial Intelligence: Proceedings of ERCICA 2024, Volume 1 [Hardback]

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  • Formāts: Hardback, 543 pages, height x width: 235x155 mm, 237 Illustrations, color; 50 Illustrations, black and white; X, 543 p. 287 illus., 237 illus. in color., 1 Hardback
  • Sērija : Lecture Notes in Electrical Engineering 1399
  • Izdošanas datums: 03-Sep-2025
  • Izdevniecība: Springer Nature Switzerland AG
  • ISBN-10: 9819644291
  • ISBN-13: 9789819644292
  • Hardback
  • Cena: 225,41 €*
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  • Formāts: Hardback, 543 pages, height x width: 235x155 mm, 237 Illustrations, color; 50 Illustrations, black and white; X, 543 p. 287 illus., 237 illus. in color., 1 Hardback
  • Sērija : Lecture Notes in Electrical Engineering 1399
  • Izdošanas datums: 03-Sep-2025
  • Izdevniecība: Springer Nature Switzerland AG
  • ISBN-10: 9819644291
  • ISBN-13: 9789819644292

This book contains the proceedings from the International Conference on Emerging Research in Computing, Information, Communication, and Applications (ERCICA) 2024. The conference offers an interdisciplinary platform for researchers, professional engineers, scientists, educators, and technologists to discuss, debate, and promote advancements in research and technology across various fields. Key topics covered include the Internet of Things (IoT), wireless communications, image and video processing, parallel and distributed computing, and smart grid applications, among others. This book explores these emerging research areas, providing a valuable resource for both researchers and practicing engineers.

An Unique Comprehensive Analysis for Detecting Vitamin Deficiencies
using Picture Analysis through Image Processing.- Predictive Traffic
Management and Deep Learning Based Vehicular Congestion Mitigation.-
Comprehensive analysis of Smart Greenhouse Monitoring System.- Cybersecurity
Threat Detection of Anomaly based DDoS Attack using Machine Learning.- Deep
Learning-Based Biometric Verification in a Secure Cloud Environment.- MOBILE
APPLICATION TO DETECT SUGARCANE DAMAGED BILLETS.- Android Security: Genetic
Algorithm-Based Malware Detection System.- Fire Detection Using Transformer
Based Model.- NFT MARKETPLACE FOR EXCHANGE OF DIGITAL ARTIFACTS USING SMART
CONTRACT.- Multi-Facial Recognition using Multitask Cascaded Convolutional
Neural Networks.- CROP-CONNECT : Empowering Farmers through Digital
Community.- A Novel System for Authentication of Identity Cards using YOLO v5
& YOLO v8.- Tailored Garment Recommendations Using Computer Vision and
Machine Learning.- Brain Diseases Prediction using ML.- ASSISTING VISUALLY
CHALLENGED INDIVIDUALS TO DISTINGUISH AUTHENTIC CURRENCY FROM COUNTERFEIT.-
Zenify.me - Your AI companion for a happier, healthier you.- IoT-Powered
Hydroponics System: A Real-Time  Monitoring and Control System.- Robust Human
Target Detection And Acquisition.- Software Effort Estimation using AIML and
a User-interface: A Comprehensive Literature Review.- A semi-supervised
Centroid based Object Tracking in Video surveillance Using Deep Detector and
Salience Estimation.- Recognizing personality traits from handwriting with
machine learning technique.- Exploring the causes of Maternal mortality in
Karnataka and Crafting Strategies for Prevention.- Utilizing Deep Learning
Features to Categorize White Blood Cells in Blood Smear Images.- ENHANCING
DATA SECURITY AND CLOUD PERFORMANCE WITH CONFIDENTIALITY- BASED
CLASSIFICATION-AS-A-SERVICE (C2AAS) FOR BIG DATA PROCESSING AND STORAGE.-
SmokeEye: An AI-ML based Dehazing and Desmoking System.- HYBRID APPROACH
USING DEEP NEURAL NETWORKS FOR LEAF DISEASE DETECTION AND DISEASE
MANAGEMENT.- Hybrid Model of SRGAN CNN-LSTM for Classifying Dysgraphia in
Primary school children using Handwritten Images.- Securing Evidence in
Digital Forensics Using Blockchain.- A Tri-Model Ensemble Approach for
Phishing URL Detection using Explainable AI and Hyperparameter Tuning
Techniques.-Exploring Advanced Techniques in Evaluating Water Quality Safety:
A Comparative Analysis of Machine Learning and XAI Approaches.- Enhancing
Medical Imaging: A Holistic Exploration of Precise PCOD Segmentation and
Classification using Ensemble Deep Learning Approaches.- Design and
Implementation of AI Machine Vision Inspection System with Multi-Optical
Images for OLED Film Manufacturing.- Novel Framework for Malicious URL
Detector using Enhanced XGBoost.- HealthLink: A Healthcare System Leveraging
IoT, Blockchain, and IPFS for Enhanced Data Security.- Brain Tumor
Segmentation Using 3D Unet and 3D Autoencoder Contribution.- Exploring
Synthetic Data Generation Methods: A Comprehensive Survey.- Safeguarding EVs:
A Next-Generation BMS with Integrated Fire Protection.- A QoS Aware RA
Algorithm for OFDM Network.- Advancing Video Surveillance Security: Real-Time
Threat Detection  with Deep Learning.
L. M. Patnaik earned his PhD in 1978 in Real-Time Systems and an earned D.Sc. in 1989 in Computer Systems and Architectures from the Indian Institute of Science, Bangalore. He was the Founding Vice Chancellor of the Defence Institute of Advanced Technology, Pune, from March 2008 to August 2011. With over forty years of experience, he has significantly contributed to computer science and engineering at IISc and is currently an INSA Honorary Scientist and Adjunct Professor at the National Institute of Advanced Studies, Bangalore, as well as the Pro Chancellor of GIET University, Gunupur, Odisha. Dr. Patnaik is a Life Fellow of the IEEE and a Fellow of several prestigious organizations, including the Indian National Science Academy and the Computer Society of India. His research interests include high-performance computing, soft computing, VLSI design, machine learning, and data analytics, with over 1,300 publications, including a widely cited paper in adaptive genetic algorithms. He has played a crucial role in the development of key organizations like CDAC and the National Brain Research Centre and initiated important conferences in the field. His contributions have earned him numerous awards, including the Dr. Vikram Sarabhai Research Award and the IEEE Computer Society Technical Achievement Award, highlighting his notable impact on Indian higher technical education.



 



G.T. Raju is a distinguished academic and research professional in the field of Computer Science and Engineering, with over 32 years of experience in teaching and research. He currently serves as the Principal and Professor at SJC Institute of Technology in Chickballapur and is the Creator and Founder Director of BGS College of Engineering and Technology in Bengaluru. Dr. Raju has a wealth of experience in academia and industry, including 16 years dedicated to research. His contributions span several areas, including Knowledge Discovery in Databases, clustering techniques, web mining, artificial intelligence, machine learning, and next-generation agriculture and communication. He has guided 20 doctoral candidates and evaluated numerous Ph.D. theses.



N. H. Prasad is currently a Professor and Head of the Master of Computer Applications Department at Nitte Meenakshi Institute of Technology (NMIT) in Bangalore. He received his Ph.D. from Jawaharlal Nehru University in New Delhi, India, and has over 18 years of experience in various roles within both public and private sector enterprises, including the Ministry of Human Resource Development, Government of India. He has been the Founder Vice-President of the International Federation of Engineering Education Societies (IFEES) in Washington, D.C., and served as Vice-Chancellor of Bangalore University for two terms. Additionally, he was the President of the Indian Society for Technical Education (ISTE) in New Delhi for three terms and a member of the Executive Committee of the All India Council for Technical Education (AICTE), where he chaired its South West Region Committee. Dr. Prasad has received prestigious recognitions, including the Dr. Abdul Kalam Lifetime Achievement Award and a Young Faculty award at the 2nd Academic Brilliance Awards.