Patil / Vyawahare / Birajdar Intelligent Computing and Big Data Analytics

First International Conference, ICICBDA 2024, Navi Mumbai, India, June 15–16, 2024, Proceedings, Part-I
Erscheinungsjahr 2024
ISBN: 978-3-031-74682-6
Verlag: Springer International Publishing
Format: PDF
Kopierschutz: 1 - PDF Watermark

E-Book, Englisch, Band 2234, 379 Seiten, eBook

Reihe: Communications in Computer and Information Science

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 15–16, 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.

Zielgruppe

Research

Autoren/Hrsg.

Patil, Mukesh

Vyawahare, Vishwesh

Birajdar, Gajanan

Inhaltsverzeichnis

.- Sentence Level Language Classification of Malayalam-English Mixed-Language Text..- Multi-modal Morse Code Translator..- Road Mishap Prevention Using Driver State Detection..- Optic Disc Segmentation using Disc-Centered Patch Augmentation..- Neural Stress Mapping with Machine Learning from EEG Data..- Early Detection and Diagnosis of Brain Related Diseases..- Quantum Machine Learning: Bridging the Gap between Theory and Practice..- Quantum-Inspired Machine Learning Models for Cyber Threat Intelligence..- Quantum-Enhanced Secure Multi-Party Computation for Cyber Security Applications..- Quantum Machine Learning Algorithms for Big Data Analytics in Cyber Security..- Advancements in Machine Learning for Anomaly Detection in Cyber Security..- Phishing URL Detection: Leveraging Machine Learning for Improved Security Measures..- Web Of Synonyms: An Enhanced Keyword Extraction Model For Recommendation Systems..-Enhancing Road Safety: Reckless Driver Detection via OpenCV in SimulatedEnvironments..- Comparative Analysis Of CNN Models For Insect Detection System..- Deep Learning for ECG-Based Arrhythmia Classification: A 1D-CNN with Optimization Techniques..- Hybrid Feature Coupled BiLSTM to Predict the Trajectories and Motion of the Autonomous Vehicles..- Intelligent Medical Assistance: Generic Medications Recommender System..- Osteoarthritis Classification Using Knee X-Ray Images Based on Hybrid Feature Fusion Framework .- ARMA-Welch HRV Features: Predicting Ventricular Tachycardia with ML..- Cross-Language Question-Answering System Using Hugging-Face Transformers..- SmileScan - Predictive Dental Detection..- Optimizing Flood Preparedness: A Comprehensive to Refine Rainfall Predict with Ensemble Machine Learning Models..- VeriFace: Deepfake Detector using Deep Learning.