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Full Description
This book gathers papers addressing state-of-the-art research in all areas of information and communication technologies and their applications in intelligent computing, cloud storage, data mining, and software analysis. It presents the outcomes of the 9th International Conference on Information and Communication Technology for Intelligent Systems (ICTIS 2025), held in Bangkok, Thailand. The book discusses the fundamentals of various data analysis techniques and algorithms, making it a valuable resource for researchers and practitioners alike.
Contents
.- Innovations, Materials, and Future Trends in Fuel Tank Engineering: A Detailed Survey.- Enhancing Quality of Service in IoT-enabled Wireless Sensor Networks through Dual Optimization Techniques.- AI-Powered Voice Analysis for Early Diagnosis and Severity Assessment of Parkinson's Disease.- LIPS: A novel Algorithm for Automated Test Case Generation from UML diagrams.- POST PURCHASE BEHAVIOUR IMPACT WITH UTAUT.- Smart Sanitary Pad Dispenser with Integrated Disposal System: Enhancing Menstrual Health Access in Rural and Low-Income Areas.- Autonomous Drone Control and Live Video Streaming using MAVLink and GStreamer with a Raspberry Pi Companion Computer.- From Pixels to Stories: A Scalable AI Framework for Dynamic Image Narratives Using Vision Transformers and GPT-2.- Bi-Directional LSTMs for Efficient Indian Sign Language Gloss Recognition.- MobileNetV3Shuffle for Leaf Disease Detection: Integrating LIME for Explainable AI in Multi-Class Classification.- Deep Learning and Active Contour Segmentation for Breast Ultrasound Images.- Developing an Unmanned Traffic Management Framework for Aerial Systems in Sarawak using Work System Theory.- Gamified Learning: A Mobile App for Supporting Autism Education and Treatment in Libya.- A Deep Learning Approach for Indoor Plant Health Monitoring: Classification of Healthy, Unhealthy, and Dead Plants.- GaitReason: A Lightweight Gait Recognition Approach Augmented with Statistical Reasoning.- Benchmarking Machine Learning Models for Predicting County Level Suicides in the U.S..- From States to Changes: A Pure Sensor Data Framework for Emotion Prediction.- VidhyaVedha: AI-Driven Personalized Learning for Smarter Education.- Bayesian Optimization for Transformer-Based Load Forecasting in Australia.- New Method to Construct a Database Using Text Generation AI.- Exploring Cognitive Load in 2D and VR Science Learning Environments: A Discourse Analysis Approach.- Enhancing Stress Detection Using Bayesian Optimized Boosting Algorithms and Feature Analysis using SHAP.- Role of Generative AI in Fake News Creation and Detection.- Cyclone Damage Detection Dataset for Disaster Impact Assessment.- Optimizing Autoencoder Architectures for Network Anomaly Detection Using Memetic Algorithm.- Haptic-Based Walker for Individuals with Visual Impairments.- TIG-UNet++: A Thresholded Input Guided Modified UNet++ for Separating Lung Region in Chest X-Rays.- Real-Time Aquatic Wildlife Detection for Underwater Fish Identification.- A Proposed Framework for Insurance Service Blockchain Dapps.- Expansion of Customer Relationship Management Functionality Using Recurrent LSTM Networks for Automation Demand Forecasting.- Leveraging RSA Accumulator and Blockchain to Enhance User Profile-based Authentication.-Automated Detection of Unhealthy Retinal Optical Coherence Tomography Images Using Geometrical Features for Machine Learning Modeling.- Exploring Security Threats in FANETs: A Study of Vulnerabilities and Attacks.- Leveraging ML to Measure Similarity between Questions and Answers.- SoulCare: A Privacy-Focused, Locally-Run AI Chatbot for Supporting Mental Health.- Determining the Authenticity of Philippine Civet Coffee Using MQ Sensors and Artificial Neural Network.- Two-Tier AI Surveillance: Enhancing Weapon Detection through Edge and Cloud Collaboration.- Fine-Grained Bug Localization in Software Projects using Code Graph.- AI DRIVEN SUPPORT SYSTEM FOR NEUROLOGISTS TO INTEGRATING NEUROLOGICAL PSYCHIATRIC DATA.- Med-Block: A Decentralized Blockchain and IPFS-Based Framework for Secure Electronic Health Records.- Comparative Research of Artificial Intelligence Techniques for Predicting Autism Spectrum Disorder: Challenges and Future Enhancement.- Enhancing Identity and Access Management Security with Adaptive AI and ML - Based Authentication: A Critical Review.- Application of Statistical Information Extraction Method on Patient Complaints.- Enhancing Regulatory Compliances and Efficiency of Decentralized Equity Investment Platforms - A Critical Evaluation.- Real-Time Water Refill Monitoring and Management System via Wireless Network Using UDP Protocol.- IVF Success rate prediction using deep learning model lstm and alexnet.- Exploring the Impact of Software Engineering Concepts on Sustainable Engineering Education.- Development of optimized Ensemble machine learning model through XG Boost and Random Forest for UPI fraud detection.- Design and Development of Web Application to Track Water Quality in Rural Locations in Bangladesh.- Enhanced SAR Ship Detection in Nearshore Environments Using Two-Stage Specialized Training.- Hybrid Deep Learning Framework for Retinal Disorders Classification Using ViT, EfficientNet, and ResNet-50 with Risk Grading.- Predicting Air Quality Index (AQI) with Machine Learning: A Holistic Analysis of PM2.5 and Time-Series Forecasting.
