Intelligent Computing and Big Data Analytics

This book constitutes the refereed proceedings of the First International Conference on Intelligent Computing and Big Data Analytics, ICICBDA 2024, held in Navi Mumbai, India, during June 1516, 2024.

The 48 full papers presented were carefully reviewed and selected from 275 submissions. The accepted submissions report original and novel results in various fields like Intelligent Security systems, Big Data Analytics, AI and ML applications, intelligent systems, Deep Learning, Blockchain, and many more.

Inhalt

.- Signal Quality Assurance of ECG Signals for Automated Signal Processing Techniques.

.- Supplier Selection Analytics and Visualization using IBM Cognos: an Important Step in Procurement Decision Making and Supply Chain Finance Management.

.- Enhancing Plant Species Recognition: A Multi-attribute Deep Learning Approach.

.- Data Analysis and Insight Generation with Queryable Knowledge Graphs.

.- Health Record Storage & Accessing System Using Blockchain.

.- PerfectStitchAI: Automated Fabric Inspection.

.- Water Quality Assessment Using Principal Component Analysis.

.- Enhanced Anomaly Detection in Wind Energy Datasets: Superior Performance of LSTM-Based VAE-WGAN over Isolation Forest and One-Class SVM.

.- Feature Extraction of Ultrasound Thyroid Images for Thyroid Cancer Detection.

.- Comprehensive Analysis of Different Boosting Techniques for Attack Detection in IoT Network.

.- Artifact Removal Techniques for Autism Facial Images in Predicting the Severity Level of Autism.

.- Machine Translation from English to Regional Languages Using Transformer Model.

.- Exploring the Hybrid Approach: Integrating Relational and Graph Databases for Enhanced Data Management.

.- Analysis of a solar photovoltaic system using fractional-order neural network.

.- Digital Elevation Model Based Morphometric Analysis of Krishna River Basin in Maharashtra.

.- Detection of Retinal Disease Using Deep Learning Architecture.

.- Unseen Relation Prediction using BERT and Neighbour Encoder.

.- Advanced Image Captioning Using Deep Learning Techniques: A CNN-LSTM Approach.

.- Google Earth engine-based comparative assessment of supervised classifiers for Land Cover Mapping.

.- Detecting tree height and addressing challenges along power line corridors using Optical and Stereo Satellite imagery.

.- Identifying Hand Pose Used in Sign Language Using Key-Point and Transfer Learning Technique.

.- A Multi-Feature Extraction Decoder for Polyp Detection.

.- A Framework for Analysing Congestion Hotspots via Social-Media Text-Based Pattern Analysis.

.- Iot4Irigation - Integrating IoT and Machine Learning for low-cost Sustainable Agriculture.