ICT for Intelligent Systems : Proceedings of ICTIS 2025, Volume 10 / edited by Jyoti Choudrie, Parikshit N. Mahalle, Thinagaran Perumal, Amit Joshi.

Format:

Book

Author/Creator:

Choudrie, Jyoti.

Contributor:

Choudrie

Series:

Lecture Notes in Networks and Systems, 2367-3389 ; 1510

Language:

English

Subjects (All):

Computational intelligence.

Artificial intelligence.

Telecommunication.

Internet of things.

Computational Intelligence.

Artificial Intelligence.

Communications Engineering, Networks.

Internet of Things.

Local Subjects:

Computational Intelligence.

Artificial Intelligence.

Communications Engineering, Networks.

Internet of Things.

Physical Description:

1 online resource (782 pages)

Edition:

1st ed. 2026.

Place of Publication:

Singapore : Springer Nature Singapore : Imprint: Springer, 2026.

Summary:

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.

Notes:

Description based on publisher supplied metadata and other sources.

ISBN:

981-9692-75-X

9789819692750

OCLC:

1573147572