Recent Trends in Image Processing and Pattern Recognition : 6th International Conference, RTIP2R 2023, Derby, UK, December 7–8, 2023, Revised Selected Papers, Part I / 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 ; 2026

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 (421 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:

Artificial Intelligence and Applied Machine Learning

Building a Heroin Abuse Prediction Model: A Generalized Machine Learning Approach

Fake News Detection Using Transfer Learning

Deep Learning Envisioned Accident Detection System

Revolutionizing Drug Discovery: Unleashing AI's Potential in Pharmaceutical Innovation

Empathy-Driven Chatbots for the Arabic Language: A Transformer Based Approach

Image Classification Using Federated Learning

Preserving Accuracy in Federated Learning via Equitable Model and Efficient Aggregation

Fake News Investigation Using Ensemble Machine Learning Techniques

Deep Learning Based Bug Detection in Solidity Smart Contracts

Comparative Analysis of CNN Pre-trained Model for Stock Market Trend Prediction

Deep Reinforcement Learning Based Energy-Efficient Design for STAR-IRS Assisted V2V Users

Deep Reinforcement Learning Based Intelligent Resource Allocation Techniques with Applications to Cloud Computing

A Review on Machine Learning Techniques in IoT-based Smart Grid Applications

Transformation Of Corporate Social Responsibility Practices: Adapting Artificial Intelligence and Internet of Things

Various Active Learning Strategies Analysis in Image Labeling: Maximizing Performance with Minimum Labeled Data

Applied Image Processing and Pattern Recognition

Potato Leaf Disease Classification Using Federated Learning

Sugarcane Bud Detection using YOLOv5

ELA-Conv: Forgery Detection in Digital Images Based on ELA and CNN

Leveraging Wavelets and Deep CNN for Sleep Pattern Recognition in Road Safety: An EEG Study

Recognition and Transcription of Archaic Handwritten Modi Script Document: A Thought-provoking Crucial Research Area

An Arabic Chatbot Leveraging Encoder-Decoder Architecture Enhanced with BERT

FNMD: An Evaluation of Machine learning and Deep learning Techniques for Fake NewsDetection

Enhancing Robotic Systems for Revolutionizing Healthcare using Markov Decision Processes

Optimizing Drone Navigation using Shortest Path Algorithms

Trees Detection from Aerial Images using the YOLOv5 Family

A Study on Automatic Detection, Length and Mass Estimation of Fishes in Aqua Farming Environment

Comparative Analysis of Various Transfer Learning Approaches In Deep CNNs for Image Classification

Biometrics and Applications

Iris Recognition System in the Context of Authentication

Deep Learning for Biometric Attack Detection and Recognition

A Novel Biometric Authentication based on Blockchain and Watermarking

Hybrid Transfer Learning Approach for Emotion Analysis of Occluded Facial Expressions.

Other Format:

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

ISBN:

3-031-53082-9