Artificial Intelligence for Next Generation Computing, Volume 2 : Select Proceedings of the International Conference, AICTA 2024.

Format:

Book

Author/Creator:

Doriya, Rajesh.

Series:

Lecture Notes in Networks and Systems Series

Lecture Notes in Networks and Systems Series ; v.1905

Language:

English

Physical Description:

1 online resource (440 pages)

Edition:

1st ed.

Place of Publication:

Singapore : Springer, 2026.

Summary:

This book features proceedings of the 2nd International Conference on Artificial Intelligence, Computing Technologies, Internet of Things (IoT), and Data Analytics - AICTA 2024.

Contents:

Lecture Notes in Networks and Systems

Artificial Intelligence for Next Generation Computing, Volume 2

Preface

Contents

Secure PHP Authentication System for Mitigating Web Vulnerabilities

Advanced Machine Learning Technique for Identifying Social Phobia Among Students Using Multimodal Data and TwinNet Architecture

Deriving a Multi-objective Function for Efficient Task Offloading Process in MIMO-NOMA with Mobile Edge Computing

Design and Optimization of Autonomous Unmanned Ground Hybrid Vehicle Using ANFIS Controller

AI-Driven Paddy Diseases Prediction: Deep Learning with Transfer Learning Approach

Securing Smart Homes with Machine Learning-Based Activity Recognition

Solutions for IoT Communication Protocols: Enhancing Efficiency and Reliability-An in-Depth Comparative Insight

Integrated COPD Pattern Classification in HRCT Scans: PyRadiomics-CNN-ELM Hybrid Model Approach

Energy Management in Hybrid Renewable Energy-Powered Electric Vehicle Integrated Charging Station with Feed Forward Neural Network Algorithm

A Novel Competitive Analytic Framework for Online Games

Enhancing Agricultural Productivity with IoT-Based Soil Nutrient Monitoring and Cloud Integration

Optimizing Water Usage in Grid Irrigation Systems Using IoT and Electronic Sensors

Robust Alzheimer's Disorder Identification from Handwriting Using Machine Learning with Sequential Feature Selection Technique

Optimizing Climate Monitoring and Reporting with IoT and AI

Enhancing Deepfake Detection with Adversarial Training

Modeling and Design of a Finite State Machine-Based Traffic Signal Controller for Efficient Urban Traffic Management

Revolutionizing Precision Medicine with Next-Generation AI Enhancing Brain Tumor Classification with U-Net and Explainable AI.

Impact of Loss Functions and Attention Based Unet on Breast Tumor Images

Blood Pressure Estimation from Photoplethysmography Signals: An EdgeML Approach

Investigations of Quantum-Based Algorithm for Breast Tumor Diagnosis

Enhancing Wireless Sensor Network Efficiency: An IoT Driven Evaluation of Congestion Avoidance Protocols Against Existing Protocol for Different Risks Assessments

Hashed Keys Generation for IoT-Based WSN

LLMIoT: A Framework for Integration of IoT Devices for Localized Large Language Models

Applications and Challenges of AI and Microscopy in Life Science Research: A Review

Phase-Based Recurrence Analysis of EEG Signals for Enhanced Detection of Major Depressive Disorder

Big Data Analytics for Natural Disaster Management.

Notes:

Description based on publisher supplied metadata and other sources.

ISBN:

9789819584970

OCLC:

1602318481