Artificial Intelligence and Information Technologies

Proceedings of the 1st International Conference on Artificial Intelligence and Information Technologies (ICAIIT 2023), 3–4 November 2023, Samarkand, Uzbekistan, Volume 2

Arvind Dagur, Dhirendra Kumar Shukla, Nazarov Fayzullo Makhmadiyarovich, Akhatov Akmal Rustamovich, Jabborov Jamol Sindorovich, Arvind Dagur, Dhirendra Kumar Shukla, Nazarov Fayzullo Makhmadiyarovich, Akhatov Akmal Rustamovich, Jabborov Jamol Sindorovich

• Publisher: CRC Press
• Year: 2024
• Print ISBN: 9781032840109
• eBook ISBN: 9781040116036
• Edition: 1
• Topic: Tecnologia e ingegneria
• Subtopic: Informatica generale

This book contains the proceedings of a non-profit conference with the objective of providing a platform for academicians, researchers, scholars and students from various institutions, universities and industries in India and abroad, and exchanging their research and innovative ideas in the field of Artificial Intelligence and Information Technologies.

It begins with exploring the research and innovation in the field of Artificial Intelligence and Information Technologies including secure transaction, monitoring, real time assistance and security for advanced stage learners, researchers and academicians has been presented. It goes on to cover:

• Broad knowledge and research trends about artificial intelligence and Information Technologies and their role in today's digital era.
• Depiction of system model and architecture for clear picture of AI in real life.
• Discussion on the role of Artificial Intelligence in various real-life problems such as banking, healthcare, navigation, communication, security, etc.
• Explanation of the challenges and opportunities in AI based Healthcare, education, banking, and related Industries.
• Recent Information technologies and challenges in this new epoch.

This book will be beneficial to researchers, academicians, undergraduate students, postgraduate students, research scholars, professionals, technologists and entrepreneurs.

Table of contents

• Cover
• Half Title
• Title Page
• Copyright Page
• Table of Contents
• Preface
• Editor Biographies
• Organizing Committee
• Program Committee
• Technical Advisory Committee
• Program Advisory Committee
• Deep learning-based traffic congestion forecasting research
• Development of a mathematical model for determining the forces acting on linear guides of ball rolling mills
• Facial expression analysis using convolutional neural networks
• Implementation of a URL shortener using serverless computing
• The architecture and design of the hadoop distributed file system
• Rainfall predictions: A comparative study of machine learning approaches
• Software defect prediction using data mining techniques
• Performance evaluation of supervised machine learning algorithms for classification in IoT
• Criminological insights into crimes against women: An in-depth analysis
• Personalized content based recommendation model for cardiovascular disease preventation
• Probabilistic paradigms for employee performance prognostication: Unveiling influential factors via Bayesian networks
• Accuracy analysis of text detection and recognition for natural scene images using deep learning model compared over CNN
• Cyber security in critical infrastructure-electrical distribution system
• Computational optimization of the supervised classifiers using landsat-8 multispectral imagery
• Design and performance analysis of a multiband vivaldi antenna for wireless broadband communication in 3-5.6 GHz spectrum
• Enhancing medical image super-resolution through generative adversarial networks and transformer-based joint feature learning
• Diabetes risk prediction and sugar intake management
• Group driven job scheduling method for motion responsive mobile grids utilizing mixed PSOGA method
• Automatic detection of malware sing deep learning methods-A review
• Closed agricultural system by using rotatable solar power generation
• Privacy preserved smart health system using homomorphic encryption
• Artificial intelligence in traffic management: A comprehensive review
• Machine learning approaches to diabetes prediction: A comprehensive evaluation
• Smart shoes: Empowering fall prevention for the elderly
• Robust and generalizable leaf segmentation in plant point clouds: A novel approach
• Surveying machine learning methods for cancer classification: A comprehensive overview
• Enhancing waste management through deep learning-based classification of plastic and non-plastic products
• A hybrid approach to localize and classify thyroid disease
• Versatile empowering of smart devices using proposed power banks and chargers: Study, review and comparison analysis
• Optimized CNN-based risk assessment for heart arrhythmias utilizing ECG signals
• Evaluation of the climate change in India using machine learning
• Big data analysis for remote diagnostics in telemedicine
• Big data analytics for social and gamification aspects of fitness tracking with wearable devices
• Ethical implications and responsible use of fitness tracker big data in research and healthcare-A review
• Personality detection using social media
• Solitude assistance: An AI powered recommendation platform
• Methods and algorithms for using creative methods in learning programming technologies
• Unveiling and exploring art's timeless allure-A tribute to art lovers
• AI based intrusion detection system to secure, safeguard and strategize the digital fortress
• Video game (Pokémon) and anime character concept generation using GANs
• Joint use of AI methods in the diagnosis of cardiovascular diseases
• Diagnosis of tuberculosis based on deep learning
• A mobile application for anxiety and dementia patients: CogniCare
• Smart dustbin for efficient waste segregation in IoT-enabled environments
• Exploring the landscape of travel enthusiast communities: An in-depth review, critique, and prospects
• Enhancing sensing with surface plasmons resonance: Theoretical insights and design strategies in photonic crystal fiber
• Implementing university mobile navigation system
• Innovations in earthquake surveillance and notification
• Network monitoring: A comprehensive review of current and emerging analysis tools
• Advancing customer segmentation: A comparative study of hierarchical level weighted method and K-means algorithms
• A Novel Proposed hybrid model for Short Juvenile Crime series forecasting
• Designing of a question and answering system for students’ queries
• An empirical study on effectiveness of standard time series forecasting models on short time series
• Enhancing airport efficiency and passenger experience through artificial intelligence systems: A case study of New Zealand airports
• Ethical hacking: Enhancing the cyber security
• An innovative approach for enhanced pattern extraction utilizing ant colony optimization
• A systematic review and critical evaluation of the available research on artificial intelligence approaches for asthma
• Impact of cybercrime on E-governance: confidentiality of government dataaffected by the cybercrime
• Face anti-spoof detection technique: A review
• Alternative approach to solve goal programming problem
• QoD metrics: Indicators of quality of design in software engineering paradigm
• IoT based vehicle management system in medical Emergency
• Method of false attack detection based on image texture analysis
• Enhancing brain tumor diagnosis: A comprehensive analysis of MRI segmentation models
• Exploring entrepreneurial mindset among university students using machine learning approaches
• A comprehensive study of digital image watermarking techniques based on contemporary techniques
• Analyzing the image processing methods in order to do face detection
• Image classification and prediction using convolutional neural network for fashion MNIST dataset
• Advance deep learning techniques for deepfake detection
• Investigating the effectiveness of models in detecting deepfake videos: A systematic review
• Depression estimation using facial expressions with the help of deep learning techniques
• Deep learning-based defect detection in submersible pump impellers for enhanced quality control
• NLP based novel approaches and solutions for addressing word embedding challenges in Dravidian languages
• Machine learning based linear regression model for analysis and prediction of sales
• Machine learning classification approaches for prediction of mental health care with NLP toolkit using patients emotional data
• Business analytics for identification of marketing leads in B2B
• An experimental evaluation on Buy Now and Pay Later (BNPL) tools and techniques
• Analytics of macroeconomic factors on BSE sensex in GDP fluctuations in INDIA
• A study on analysis of IOT-based smart irrigation systems using Arduino ESP266
• A study based on IOT smart street light using arduino UNO
• An AI based technology-driven solution to eradicate hunger and food waste
• Navigating the path: Deep neural networks for accurate pothole and road quality detection
• “Securing the internet of things: Investigating common attacks and defense strategies for a resilient ecosystem”
• A study on performance enhancement of deep learning-based face detection system
• A Review on Tunable UWB Antenna with Triple-Band Notch Using EBG Structure
• Technical aspects of robust multi-frame super-resolution image reconstruction across diverse scenes
• An algorithm to study the mechanisms for exploring ChatGPT's effectiveness
• Author index