Advances in Artificial Intelligence and Machine Learning in Big Data Processing

First International Conference, AAIMB 2023, Chennai, India, August 17¿18, 2023, Proceedings, Part-I
Herausgegeben:Geetha, R.; Dao, Nhu-Ngoc; Khalid, Saeed

• Broschiertes Buch

Produktbeschreibung

This book constitutes the refereed proceedings of the First International Conference on Advances in Artificial Intelligence & Machine Learning in Big Data Processing, AAIMB 2023, held in Chennai, India, during August 17-18, 2023.

The 51 full papers presented were carefully reviewed and selected from 183 submissions. They were organized in the following topical sections:

Part I- artificial intelligence and data analytics; deep learning.

Part II- artificial intelligence and data analytics; machine learning.

Produktdetails

• Communications in Computer and Information Science 2202
• Verlag: Springer / Springer Nature Switzerland / Springer, Berlin
• Artikelnr. des Verlages: 978-3-031-73064-1
• 2025
• Seitenzahl: 352
• Erscheinungstermin: 1. Oktober 2024
• Englisch
• Abmessung: 235mm x 155mm x 20mm
• Gewicht: 534g
• ISBN-13: 9783031730641
• ISBN-10: 303173064X
• Artikelnr.: 71477393

Inhaltsangabe

.- Artificial Intelligence and Data Analytics.

.- A Novel Revolutionizing Medical Surgery Procedures Using Mixed Reality.

.- Data Mining-based Classification Algorithms for Predicting Mental Health.

.- Topological Navigation of Path Planning Using a Hybrid Architecture in Wheeled Mobile Robot.

.- Abnormal Behaviour Detection in Surveillance Videos.

.- ISAApp - Image based Smart Attendance Application.

.- A Self-Learning AI-based Information Leak Protection System.

.- Deep Learning.

.- Enhancing Abnormal Object Detection in Camera Based Systems through Computer Vision and Deep Learning Techniques.

.- Detection and Classification of Brain Tumor in Magnetic Resonance Images Using CNN.

.- Diagnosis of Parkinson's disease using Machine Learning and Deep Learning Techniques.

.- A Survey on Deep Learning Based Human Activity Recognition System.

.- A Deep Learning Approach for Non - Invasive Body Mass Index Calculation.

.- Early-Stage Detection of Alzheimer's Disease Using MRI Scans with Deep Learning.

.- Penguin Search Optimization with Deep Learning based Cybersecurity Malware Spectrogram Image Classification.

.- Detection and Classification of Skin Disease Using CNN.

.- Estimation of Above Ground Biomass Using Machine Learning and Deep Learning Algorithms: A Review.

.- URL Phishing Detection using Deep Learning and Machine Learning Techniques.

.- Enhanced Disease Recognition and Classification in Black Gram Plant Leaves using Deep learning.

.- Ensemble Deep Learning Approach for Identification of DDOS Attack.

.- ROCLT : Enhanced Text classifier for Sentiment on Imbalanced Multiclass Tweet Data using Hybrid Deep Learning Techniques.

.- Computer Vision to Animal Footprint Classification Based on Deep Learning Model.

.- Speech Emotion Recognition Using CNN Classifier Based on Deep Learning Model.

.- Face Detection and Recognition for Criminal Identification System using Deep Learning.

.- Automated Essay Grading System for IELTS using Bi-LSTM.

.- Automized Quick Prediction of Skin Cancer Diagnosis by Enhanced Deep Convolutional Neural Network.

.- Clustering based Demand Prediction using Long ShortTerm Memory (LSTM) in Retail Supply Chains.

.- Early Detection of Diabetic Retinopathy using Deep Convolutional Neural Network.