Artificial Intelligence: Theory and Applications
Proceedings of AITA 2024, Volume 1
Series: Lecture Notes in Networks and Systems; 5588;
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Product details:
- Publisher Springer Nature Singapore
- Date of Publication 25 June 2025
- Number of Volumes 1 pieces, Book
- ISBN 9789819619177
- Binding Paperback
- No. of pages793 pages
- Size 235x155 mm
- Language English
- Illustrations XX, 793 p. 378 illus., 277 illus. in color. Illustrations, black & white 665
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Long description:
This book features a collection of high-quality research papers presented at International Conference on Artificial Intelligence: Theory and Applications (AITA 2024), held during 9–10 August 2024 in Bengaluru, India. The book is divided into two volumes and presents original research and review papers related to artificial intelligence and its applications in various domains including health care, finance, transportation, education, and many more.
MoreTable of Contents:
Chapter 1 :Orator-IQ: Interview Preparation and Speech Analyzer.-Chapter 2 :Data Validation using Decomposition Technique for Data Transfer Network.-Chapte 3 :Ransomware Detection using Machine Learning and Explainable AI.-Chapter 4 :Breast Cancer Detection and Classification using ML Techniques.-Chapter 5 :An Optimize Meta-Analysis Secure Data Management in Internet of Medical Things (IoMT) Smart Healthcare Systems .-Chapter 6 :Based on Blockchain and Multi-Access Edge Computing.-Chapte 7 :Smart Farming: Integrating Remote Sensing Data and Machine Learning for Real-Time Crop Monitoring and Decision Support.-Chapter 8 :Silent Listener: Deep Learning-based Visual Speech Recognition.-Chapte 9 :Shadow Traces: An Unraveling Crime using Time Distributed LSTM.-Chapte 10 :A Comprehensive Assessment of Developing a Forecasting Model for Kidney Stone Formation using Deep Learning Approaches.-Chapte 11 :Deep Belief Networks for Unsupervised Feature Learning and Improved Image Recognition.-Chapte 12 :Precision Brain Tumor Segmentation in MRI using SwinFuseNet: A Deep Learning Approach Integrating CNNs, SWIN Transformers, and DCML.-Chapte 13 :Harnessing Open World Machine Learning for Advanced Malware Detection: A SurveyChapte 14 :Hindi Sentiment Analysis on Tweets.-Chapter 15 :Deep Learning For Cervical Cell Analysis: Towards Automatic Diagnosis.-Chapter 16 :AI-Powered Code Editors: Revolutionizing Bug Detection.-Chapter 17 :Machine Learning Strategies for Enhanced Disease Prediction and Management.-Chapter 18 :Q-Learning Embedded Sine Cosine Algorithm for Optimizing Deep CNN in Dengue Disease Spread Detection.-Chapter 19 :Deep Learning in Optimizing Production Inventory Model of Electric Vehicle batteries with Recurrent Quality checks and Electronic Waste Cost Parameters.-Chapter 20 :Challenges and Advancements in Automated Music Transcription: A Focus on Multiple Pitch Estimation.-Chapter 22 :Detecting Parkinson's Disease Early: A Study of Spiral Handwriting Utilizing Pre-Trained CNN Models.-Chapter 23 :How Similar are Programming Solutions Generated by LLM-based Generative AI tools: A Semantic Clone Detection Approach.-Chapter 24:Social Media Harassment Detection Based on Modified Metaheuristic Optimized Adaboost Classification.-Chapter 25ngredient Alcheist: Enhancing Recipe Recommendation Systems through Intelligent Apriori Algorithm.-Chapter 26Deep Learning-Enabled Glaucoma Detection Application: Harnessing Amazon Rekognition for Automated Diagnosis.-Chapter 27Comparative Performance Analysis of Segmentation Methods In Cervigram Images.-Chapter 28ntegrating Explainable AI with Machine Learning for Accurate Liver Disease Diagnosis.-Chapter 29mpowering Knowledge Sharing Through AI-Driven Semantic Video Search.-Chapter 30odelling Real-Time Solar Energy Prediction using an Ensemble Learning Approach.-Chapter 31ssessing Depth of Anesthesia using PPG Signals.-Chapter 32xploring EEG Feature Extraction and Explainable AI for Accurate Depth of Anesthesia Prediction.-Chapter 33oice Control Integrated Navigation System for Autonomous Robots.-Chapter 34valuating The Vietnamese Logistics Companies Using the DEA-Malmquist Model.-Chapter 35ew Approaches for Winner Determination via Minimum Weighted Vertex Cover Computations.-Chapter 36ptimizing Resource Allocation in V2X Networks with Multi-Head Attention based Mechanism using Transformers Networks.-Chapter 37:-HSSN: A Framework to Detect Punjabi Hate Speech in Social Networks.-Chapter 38 DST-DCT Based Adaptive Color Image Watermarking Scheme Using Coati Optimization Algorithm.-Chapter 39cute Lymphoblastic Leukemia Subtypes Detection using Swin Transformer Model.-Chapter 40ccelerating Hate Speech Classification with GPUs: A Multi-Layer Approach with String Matching and Transformers.-Chapter 41:Prioritizing Risks in AI-Enabled EdTech Platforms: An Analytic Hierarchy Process Approach.-Chapter 42Leveraging Pretrained Models for Meat Freshness and Spoilage Detection.-Chapter 43esign and Analysis of a Hybrid Algorithm for Image Steganography and Image Encryption.-Chapter 44: Analysis of Random Vector Functional Link Neural Networks: Approaches and Applications.-Chapter 45:ta Preprocessing and Feature Selection Approach for an Automated Expert Finding System for Academic Events.-Chapter 46andwritten Recognition System using Image Acquisition Technique.-Chapter 47:Eraction of Retinal Blood Vessel using Intensity Histogram.-Chapter 48:omprehensive Analysis of Canine Parvovirus Outbreaks: Predictive Modelling and Evaluation Metrics.-Chapter 49:Use of Artificial Intelligence Over Conventional Methods for Rapid Detection of Alternaria Porri, Responsible for Causing Purple Blotch Disease in Onion Seed.-
Chapter 50:Driven Approaches to Green Building Material Selection using Deep Learning.-Chapter 51:Analysis of Hotel Reviews - A Performance Improvement Model using BERT, VADER& XLNet.-Chapter 52:athfinding in Autonomous Robotics: Balancing Risk, Energy, and Environmental Impact in Diverse Path Networks.-Chapter 53:entification of Hepatocellular Carcinoma Biomarkers using Machine Learning Techniques.-Chapter 54:daptive Cybersecurity for IoT Networks Using Artificial Immune Systems: A Scalable Approach for Real-Time Threat Detection.-Chapter 55:utomated Digital Hand Gesture and Speech Recognition Based Presentations.-Chapter 56:Difficulty Level Prediction on Evaluating the Quality of Question Papers using Bloom's Taxonomy.-Chapter 57 :Advancing Underwater Image Quality Enhancement through Hybrid Deep Learning Architectures
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