Advanced Computing and Intelligent Technologies : Proceedings of ICACIT 2024 / edited by Sanjoy Das, Marcin Paprzycki, Ankush Ghosh, Monica Bianchini.

Format:

Book

Contributor:

Das, Sanjoy, Editor.

Paprzycki, Marcin, Editor.

Ghosh, Ankush, Editor.

Bianchini, Monica, Editor.

Series:

Lecture Notes in Networks and Systems, 2367-3389 ; 1359

Language:

English

Subjects (All):

Computational intelligence.

Artificial intelligence.

Wireless communication systems.

Mobile communication systems.

Computational Intelligence.

Artificial Intelligence.

Wireless and Mobile Communication.

Local Subjects:

Computational Intelligence.

Artificial Intelligence.

Wireless and Mobile Communication.

Physical Description:

1 online resource (XVI, 977 p. 450 illus., 389 illus. in color.)

Edition:

1st ed. 2026.

Place of Publication:

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

Summary:

This book gathers selected high-quality research papers presented at International Conference on Advanced Computing and Intelligent Technologies (ICACIT 2024), which is jointly organized by Università degli Studi di Siena, Italy and ADSRS Education and Research during December 13 – 14, 2024. It discusses emerging topics pertaining to advanced computing, intelligent technologies and networks including AI and machine learning, data mining, big data analytics, high-performance computing network performance analysis, Internet of things networks, wireless sensor networks, and others. The book offers an asset for researchers from both academia and industries involved in advanced studies.

Contents:

Chapter 1:Lung Cancer Stage Estimation Using EfficientNetV2B2: Formulating Gene Expression Data for Comparable ML Outcomes

Chapter 2:Terra-Rover: IoT-Driven Autonomous Multi-Terrain Disaster Management System

Chapter 3:Enhancing Heart Disease Diagnosis with Wearable IoT Devices and Machine Learning Models

Chapter 4:Cardiovascular Disease Prediction using ECG Match

Chapter 5:Deep Learning-Powered Diagnostic Model for Early Detection and Prognosis of Bone Diseases Using Radiographic Imaging

Chapter 6:An advanced vision transformer technique for skin cancer identification

Chapter 7:Applying Machine Learning and swarm optimisation Techniques for Real-Time Decision Making in Supply Chain Management

Chapter 8:ResCrabNet: A Deep Transfer Learning Approach for Improved Crab Species Classification with Explainable AI

Chapter 9:Machine Learning Approach for Classifying Shoulder Pain Pathologies Using Ultrasound Imaging

Chapter 10:Attention-Augmented MobileNetV2 for MRI-Based Brain Tumor Classification: Cosine Annealing, and Advanced Metrics

Chapter 11:BRAIN COMPUTER INTERFACE APPLICATION FOR SPEECH DECODING APPROACH USING EEG SIGNALS

Chapter 12:Characterizing Shear Wave Propagatıon in an Anisotropic Layer under the Effect of Triangular Irregularity, Rigidity and Initial Stress

Chapter 13:Assessing the Overall Quality of Red Wine Utilizing Classification Algorithms

Chapter 14:Predicting Solar Energy Potential and Household Consumption Using Machine Learning and IoT

Chapter 15:Novel Skin Cancer Detection Application Using Deep Learning Application

Chapter 16:Modified Hippopotamus Optimization Algorithm for Numerical Optimization Problems

Chapter 17:Emotion Recognition Using Deep Learning on EEG Data for Stress and Anxiety Detection

Chapter 18:Evasion Attacks on Image Classification Models: A Comprehensive Review of Strategies and Defense Mechanisms

Chapter 19:Design &Analysis of EBG Antenna with it’s Applications

Chapter 20:Advancing Brain Tumor Detection with Deep Learning and Machine Learning: A performance Analysis of Different Deep Learning Models

Chapter 21:Deep Learning Approaches for Optimizing Renewable Energy Generation and Consumption Forecasting in Smart Grids

Chapter 22:A comprehensive deep learning approach for precise concrete crack detection and severity classification using ensemble learning

Chapter 23erformance Evaluation of Edge and Cloud Technologies for Sentiment Analysis with IMDB Data

Chapter 24:Predictive Analysis in Cardiovascular Health: Evaluating Machine Learning Algorithm for Enhanced Diagnostics Precision

Chapter 25:Human activity recognition using machine learning

Chapter 26:Earthquake Prediction and Alerting System Using Machine Learning and Raspberry Pi

Chapter 27:Detection of Potholes using Deep Learning and Image Processing Techniques

Chapter 28:Deep Learning-Based Solar Tracking System for Maximizing Solar Power Generation Efficiency

Chapter 29:An Efficient and Cost Effective Approach for Smart Pharmaceutical Cold Chain Logistics using Internet of Things

Chapter 30:DenseCucumberNet: An Enhanced Model for Interpretable Detection of Cucumber Diseases

Chapter 31:Efficient Array Patch Antenna Design and Optimization for 5G Applications

Chapter 32:Securing Media Integrity: A Blockchain-Based Approach against AI-Generated Deepfakes

Chapter 33:Tumor Sight AI: Brain Tumor prediction system using Deep Learning and Explainable Artificial Intelligence (XAI)

Chapter 34:Deep Learning Driven Diabetic Retinopathy Detection Using CNN Application

Chapter 35:Synergizing Generative Adversarial Network-Driven Synthetic Data Pipelines with Deep Neural Networks for Enhanced Breast Cancer Diagnosis

Chapter 36:ResNet50 Outperforms VGG16 and VGG19 in Tomato Leaf Disease Classification

Chapter 37:A Robust Framework for Internet of Things Harmonization in Critical Infrastructure

Chapter 38:Vehicular Assistance Communication System for Road Blockage Using Multi-Hop V2X Architecture in Hilly Terrain

Chapter 39:Occluded Face Image Inpainting using Generative Adversarial Networks

Chapter 40:Vehicle Identification System Using Convolutional Neural Networks

Chapter 41:A Review on Detection of Distributed Denial of Service Attacks Using Machine Learning Techniques

Chapter 42:Analysis of EEG Signal for AAD Classification Using Deep Learning Approach

Chapter 43:Federated Learning in Healthcare: Benchmarking In-sights for Diabetes Treatment

Chapter 44:Deep Learning for Dermoscopic Diagnosis: High-Accuracy CNN in Skin Cancer Classification

Chapter 45:Securing the Vote: Exploring the Potential of Blockchain-Based e-Voting System

Chapter 46:Hybrid AI approach for melanoma diagnosis detection with image segmentation using mobile net and deep CNN algorithms

Chapter 47:Machine Learning-Driven Design Enhancement of Microstrip Patch Antennas for Wireless Communication

Chapter 48:Predictive Models of Compressive Strength of Concrete Containing Construction and Demolition Waste Using Artificial Neural Networks

Chapter 49:Hybrid Bat Algorithm for Clustering

Chapter 50:Designing IOT based Real Time Visual Paddy Leaf Pest Detection and Feature Extraction Algorithm

Chapter 51:Optimizing Convolutional Neural Network for Accurate Digit Recognition

Chapter 52:Enhancing Sentiment Analysis in Natural Language Processing: A Hybrid Approach of Machine Learning and Deep Learning Model for Emotion Classification

Chapter 53:Satellite-Based Environmental Monitoring for Sustainable Well-being

Chapter 54:ANALYSIS AND CHARACTERIZATION OF MULTI-EYE DISEASES USING DEEP LEARNING ALGORITHMS

Chapter 55:Design and Development of Diverse Patch Antennas for 5G Wireless Networks Utilizing Various Materials

Chapter 56:Optimized Deep Learning Approach for Accurate Poultry Disease Detection

Chapter 57:Optimizing Stock Market Investment Decisions: A Comparative Analysis of Machine Learning and Deep Learning Algorithms

Chapter 58:A Comprehensive study on Energy consumption analysis using Monte-Carlo simulation and Machine Learning

Chapter 59:COMPUTATIONAL COGNITIVE ACTIVATION FUNCTION USING fMRI APPLICATION

Chapter 60:Behavior Analysis In crowds

Chapter 61:Integrating Data Science Methodologies in Crop Prediction to Reinforce Sustainable Agriculture

Chapter 62:Detection and Mitigation of Wireless Network Attacks Using Artificial Intelligence.

ISBN:

981-9649-33-1

9789819649334