Recent Trends in Image Processing and Pattern Recognition : 6th International Conference, RTIP2R 2023, Derby, UK, December 7–8, 2023, Revised Selected Papers, Part II / edited by KC Santosh, Aaisha Makkar, Myra Conway, Ashutosh K. Singh, Antoine Vacavant, Anas Abou el Kalam, Mohamed-Rafik Bouguelia, Ravindra Hegadi.

Format:

Book

Contributor:

Santosh, K. C., editor.

Series:

Communications in Computer and Information Science, 1865-0937 ; 2027

Language:

English

Subjects (All):

Image processing--Digital techniques.

Image processing.

Computer vision.

Artificial intelligence.

Computer systems.

Social sciences--Data processing.

Social sciences.

Application software.

Computer Imaging, Vision, Pattern Recognition and Graphics.

Artificial Intelligence.

Computer System Implementation.

Computer Application in Social and Behavioral Sciences.

Computer and Information Systems Applications.

Local Subjects:

Computer Imaging, Vision, Pattern Recognition and Graphics.

Artificial Intelligence.

Computer System Implementation.

Computer Application in Social and Behavioral Sciences.

Computer and Information Systems Applications.

Physical Description:

1 online resource (430 pages)

Edition:

1st ed. 2024.

Place of Publication:

Cham : Springer Nature Switzerland : Imprint: Springer, 2024.

Summary:

This book constitutes the refereed proceedings of the 6th International Conference on Recent Trends in Image Processing and Pattern Recognition, RTIP2R 2023, held in Derby, UK, during December 2023, in collaboration with the Applied AI Research Lab at the University of South Dakota. The 62 full papers included in this book were carefully reviewed and selected from 216 submissions. The papers are organized in the following topical sections: Volume I: Artificial intelligence and applied machine learning; applied image processing and pattern recognition; and biometrics and applications. Volume II: Healthcare informatics; pattern recognition in blockchain, IOT, cyber plus network security, and cryptography.

Contents:

Healthcare Informatics

Leveraging Handwriting Impairment as a Biomarker for Early Diagnosis of Parkinson’s Disease

Enhancing CT Image Visualization and Analysis through Rescaling Raw Pixel Values to Hounsfield Units

Diabetic Retinopathy Blood Vessel Detection using Deep-CNN-Based Feature Extraction and Classification

Detection of COVID-19 Disease Using Federated Learning

Breast Cancer Detection Using Optimal Machine Learning Techniques: Uncovering the Most Effective Approach

Compressed Deep Learning Models with XAI for COVID-19 Detection using CXR images

HLB disease detection in Omani Lime Trees using Hyperspectral Imaging based Techniques

A Stack Ensemble Approach for Early Alzheimer Classification using Machine Learning Algorithms

Analyzing Pulmonary Abnormality with Superpixel Based Graph Neural Network in Chest X-ray

Silicosis Detection using Extended Transfer Learning Model

Automated Make and ModelIdentification of Reverse Shoulder Implants Using Deep Learning Methodology

COVID-19 Disease Prediction Using Generative Adversarial Networks with Convolution Neural Network (GANs-CNN) Model

Modified Snapshot Ensemble Algorithm for Skin Lesion Classification

A residual learning approach towards the diagnosis of colorectal disease effectively

Realistic skin image Data Generation leveraging Conditional GAN and classification using Deep CNN

Radiography and Thermography based Image Processing Techniques for Assessment of Lower Back Pain

Exploring Imaging Biomarkers for Early Detection of Alzheimer’s Disease using Deep Learning: A Comprehensive Analysis

Pattern Recognition in Blockchain, IOT, Cyber Plus Network Security, and Cryptography

VAIDS: A Hybrid Deep Learning Model to Detect Intrusions in MQTT Protocol Enabled Networks

Crypto Bank: Cryptocurrency Wallet Based on Blockchain

Large-Language-Models (LLM) -Based AI Chatbots: Architecture, In-depth Analysis and Their Performance Evaluation

CincoCrypto - A Cryptocurrency Price Forecasting Tool For Everyone

Deep Neural Networks Based Security Solution for ATM Transactions

A Comprehensive Analysis of Blockchain Network Security: Attacks and their Counter measures

Enhancing Android Malware Detection: CFS Based Texture Feature Selection and Ensembled Classifier for Malware App Analysis

Blockchain-Enhanced Federated Learning for Secure Malicious Activity Detection in Cyber-Physical Systems

Classification of Images Extracted from Scientific Documents for Cyber Deception

Optimal Resource Allocation for Energy Harvested Cognitive Radio Networks Based on Learn Heuristic Algorithm

Blockchain for Patient Data Integrity: Decentralised Storage and Retrieval in Modern Healthcare Systems

UI/UX for Aerospace Qualification Business Processes

Comparative Studies of Stochastic Techniques to Minimize the Cost of Biomass Supply Networks

Federated Unlearning and Server Right to Forget: Handling Unreliable Client Contributions.

Notes:

Includes bibliographical references and index.

Other Format:

Print version: Santosh, K. C. Recent Trends in Image Processing and Pattern Recognition

ISBN:

3-031-53085-3