Ulteriori informazioni
This book constitutes the refereed post-conference proceedings of the First International Conference on Interdisciplinary Horizons: Integrating AI in Science, Management, and Technology, AISMT 2025 held in Vadodara, India during February 20-21, 2025.
The 21 full papers and 6 short papers included in this book were carefully reviewed and selected from 136 submissions.These papers are thematically grouped into three broad categories: AI in Science, which includes contributions in Healthcare AI, Catalyst Prediction, Early Disease Detection, and Nanotechnology; AI in Management, addressing areas such as AI Ethics, Business Analytics, Decision Optimization, and Strategic AI Applications; and AI in Technology, encompassing research on Artificial Intelligence, Machine Learning, Deep Learning, and Speech and Text Processing.
Sommario
.- The Impact of Technology and Artificial Intelligence oImproving Financial Management Performance.
.- Confronting Online Finance Scams with Vigilance, Regulations and Action.
.- Behavioral Arbitration for Effective Decision Making in Autonomous Vehicles by Using Deep Convolutional Neural Networks.
.- Privacy Preservation in Secure Multi-Cloud Data Fusion for Infectious Disease Analysis.
.- Analysing AI driven Bat algorithm to solve the Traveling Salesman problem.
.- Innovative and Hybrid Approach for Detection and Classification of Pancreatic Cancer from CT Scans Images using Deep Learning Model.
.- Optimizing Real-Time Facial Recognition Through Image Brightening and Feature Enhancement Techniques.
.- YOLOv5-Based Human Tracking System.
.- Automated Redaction Framework: Utilizing SpaCy and ChaCha20- Poly1305 for Secure Information Handling.
.- A Prediction and Optimization Model for Predicting Genetic Diseases in Crops.
.- Title Generation and Automated Topic Modeling in Academic Texts.
.- Using Machine Learning to Detect Fraudulent SMSs in Chichewa.
.- AI-Driven Mechanical Manufacturing: Bridging Industry 4.0 and the Human-Centric Vision of Industry 5.0.
.- Elevating Credit Risk Analysis with Cloud-Optimized Machine Learning Architectures.
.- Shan Handwritten Alphabet Recognition System: A Comparative Study of Machine Learning and Deep Learning Method.
.- Enhancing Attendance Management: A Novel Approach using Advanced Face Recognition Technology.
.- Optimizing ASR for Low-Resource Language: Fine-Tuning Wav2Vec2-XLSR for Gujarati.
.- MHC-CNN: A CNN Framework for Stream Selection in Secondary Education Using Modified Huffman Coding.
.- An Innovative Robopinody for Piano Performance using LEGO Mindstorms EV3.
.- Deep Learning Based YOLO-Face Model Design for High-Performance and Enhanced Face Landmark Detection.
.- Facial Expression Recognition for Individuals with Intellectual Disabilities using Machine Learning.
.- NSAP: A Neural Network-Based Stress Analysis Pipeline Using EEG Topographic Images.
.- Predicting Climate Temperature using Hybrid Models.
.- Smart Food Analysis: Machine Learning Model for Food Adulteration Detection and Pricing.
.- Data Visualization and Analysis on Ground Water of Samoda Chhattisgarh.
.- Towards Enhanced Word Spotting in Historical Devanagari Documents Using Deep CNN Architecture.
.- Text validation in NLP applications: A Chain of Responsibility approach.
Riassunto
This book constitutes the refereed post-conference proceedings of the First International Conference on Interdisciplinary Horizons: Integrating AI in Science, Management, and Technology, AISMT 2025 held in Vadodara, India during February 20-21, 2025.
The 21 full papers and 6 short papers included in this book were carefully reviewed and selected from 136 submissions.These papers are thematically grouped into three broad categories: AI in Science, which includes contributions in Healthcare AI, Catalyst Prediction, Early Disease Detection, and Nanotechnology; AI in Management, addressing areas such as AI Ethics, Business Analytics, Decision Optimization, and Strategic AI Applications; and AI in Technology, encompassing research on Artificial Intelligence, Machine Learning, Deep Learning, and Speech and Text Processing.
