Advances in Artificial Intelligence and Machine Learning in Big Data Processing
Springer International Publishing (Verlag)
978-3-031-73064-1 (ISBN)
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.
.- 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.
| Erscheinungsdatum | 03.10.2024 |
|---|---|
| Reihe/Serie | Communications in Computer and Information Science |
| Zusatzinfo | XVII, 331 p. 165 illus., 132 illus. in color. |
| Verlagsort | Cham |
| Sprache | englisch |
| Maße | 155 x 235 mm |
| Themenwelt | Informatik ► Datenbanken ► Data Warehouse / Data Mining |
| Informatik ► Theorie / Studium ► Künstliche Intelligenz / Robotik | |
| Schlagworte | AI Algorithms • Big Data Analytics and Applications • Big Data Analytics and Big Data governance • Big Data processing using AI • Computational Optimization • data analytics • Data Mining Challenges with Big Data • Decision Making • Deep learning • Information Extraction and Prediction • Intelligent Information Processing • machine learning • Natural Language Processing • Pattern Recognition and Analysis • sentiment analysis • Virtual Reality • Web/Data Mining |
| ISBN-10 | 3-031-73064-X / 303173064X |
| ISBN-13 | 978-3-031-73064-1 / 9783031730641 |
| Zustand | Neuware |
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