Vol. 3 No. 1 (2023): Journal of Artificial Intelligence Research and Applications

Cover

Published: 01-01-2023

Articles

Particle Swarm Optimization - Variants and Applications

Maria Garcia (Author)

38-48
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AI-driven Adaptive Access Control Mechanisms for Autonomous Vehicle Systems IoT sensor

Dr. Ngozi Oluwafemi (Author)
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Deep Learning for Autonomous Vehicle Sensor Data Analysis and Interpretation

Dr. Anibal Traça (Author)

167-188
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AI-Based Approaches for Autonomous Vehicle Fleet Optimization and Management

Dr. Amira Bennani (Author)

377-404
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AI-Based Approaches for Autonomous Vehicle Emergency Handling and Response

Dr. Jingxuan He (Author)

345-372
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Machine Learning Algorithms for Efficient Storage Management in Resource-Limited Systems: Techniques and Applications

By Bhavani Krothapalli, Lavanya Shanmugam, Subhan Baba Mohammed (Author)

406-442
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Streamlining Telecom Customer Support with AI-Enhanced IVR and Chat

Puneet Singh (Author)

443-479
Enhancing Reliability and Scalability of Microservices through AI/ML-Driven Automated Testing Methodologies

Sharmila Ramasundaram Sudharsanam, Praveen Sivathapandi, Deepak Venkatachalam (Author)

480-514
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Real-Time Automated Anomaly Detection in Microservices Using Advanced AI/ML Techniques

Priya Ranjan Parida, Jim Todd Sunder Singh, Amsa Selvaraj (Author)

514-545
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Advanced Telematics and Real-Time Data Analytics in the Automotive Industry: Leveraging Edge Computing for Predictive Vehicle Maintenance and Performance Optimization

Akila Selvaraj, Deepak Venkatachalam, Jim Todd Sunder Singh (Author)

581-622
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Cloud-Based Telematics and Real-Time Data Integration for Fleet Management: A Comprehensive Analysis of IoT-Driven Predictive Analytics Models

Sharmila Ramasundaram Sudharsanam, Praveen Sivathapandi, Yeswanth Surampudi (Author)

622-657
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The Role of Blockchain Technology in Enhancing Data Integrity and Transparency in Cloud-Based Human Capital Management Solutions

Gunaseelan Namperumal, Praveen Sivathapandi, Deepak Venkatachalam (Author)

546-582
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Advancements in AI-Driven Autonomous Robotics: Leveraging Deep Learning for Real-Time Decision Making and Object Recognition

Jaswinder Singh (Author)

657-697
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Leveraging AI for Cybersecurity in Agile Cloud-Based Platforms: Real-Time Anomaly Detection and Threat Mitigation in DevOps Pipelines

Seema Kumari (Author)

698-715
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AI-Driven Real-Time Risk Assessment for Financial Transactions: Leveraging Deep Learning Models to Minimize Fraud and Improve Payment Compliance

Rama Krishna Inampudi, Yeswanth Surampudi, Dharmeesh Kondaveeti (Author)

716-758
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AI-Driven ITSM for Enhancing Content Delivery in the Entertainment Industry: A Machine Learning Approach to Predict and Automate Service Requests

Priya Ranjan Parida, Rama Krishna Inampudi, Anil Kumar Ratnala (Author)

759-799
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Machine Learning-Based Patient Risk Stratification for Healthcare Management

Yuki Tanaka (Author)

1-8
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IoT-Driven Smart Wearables for Continuous Health Monitoring

Hyejin Kim (Author)

9-19
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Intelligent Virtual Reality Systems for Pain Management in Dental Procedures

Ahmed Hassan (Author)

20-29
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Evolutionary Music Composition - Creative Algorithms

Fatima Ali (Author)

29-38
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Trustworthy Human-Machine Teaming in Autonomous Vehicles - A Computational Intelligence Approach: Develops computational intelligence-based methods to ensure trustworthy human-machine teaming in Avs

Dr. Yu Han (Author)

1-12
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Temporal Convolutional Networks - Architectures and Applications: Investigating temporal convolutional networks (TCNs) and their applications in modeling sequential data with long-range dependencies

Dr. David Kim (Author)

1-7
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Real-Time Threat Intelligence Integration for Cybersecurity in Autonomous Vehicles - A Deep Learning Framework: Integrates real-time threat intelligence into cybersecurity systems for AVs using a deep learning framework

Dr. Mehmet Akın (Author)

1-17
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IoT-enabled Edge Computing for Cybersecurity in Autonomous Vehicles - Challenges and Opportunities: Discusses challenges and opportunities in implementing IoT-enabled edge computing for cybersecurity in Avs

Dr. Juan Gómez-Olmos (Author)

1-16
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Human Factors in Cybersecurity Incident Response Training for Autonomous Vehicle Operators

Dr. Arvind Pandey (Author)

1-10
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Federated Learning for Privacy-Preserving Collaboration in Autonomous Vehicle Networks: Utilizes federated learning to enable privacy-preserving collaboration among autonomous vehicle networks

Dr. Daniel Koppelman (Author)

1-12
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Distributed Ledger Technologies for Secure Data Sharing in Autonomous Vehicle Networks: Explores the use of distributed ledger technologies to facilitate secure data sharing among autonomous vehicle networks

Dr. Katarzyna Szymkowiak (Author)

1-19
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Cooperative Localization in Multi-robot Systems: Exploring cooperative localization techniques for enabling robots to estimate their positions relative to each other in multi-robot systems

Dr. Anna Schmidt (Author)

1-9
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Computational Intelligence for Predictive Analytics in IoT-connected Autonomous Vehicle Networks

Dr. François Garnier (Author)

1-9
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Cognitive Architectures - Modeling Human-like Intelligence: Studying cognitive architectures to model human-like intelligence and cognitive processes in AI systems

Dr. Li Wang (Author)

1-9
Regulation and Compliance in Blockchain Ecosystems: Studying regulatory frameworks and compliance requirements for blockchain ecosystems, including AML/KYC regulations and data privacy laws

Dr. Ifeoma Okoye (Author)

1-10
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Oracles and External Data Integration: Analyzing oracle solutions for integrating external data (e.g., real-world events) into blockchain-based smart contracts and applications

Dr. Wai-Keung Wong (Author)

1-8
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Non-fungible Tokens (NFTs) - Applications and Challenges: Investigating the applications and challenges of non-fungible tokens (NFTs) in digital art, gaming, collectibles, and intellectual property

Dr. Lena Nilsson (Author)

1-7
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Machine Learning for Autonomous Vehicle Traffic Signal Prediction and Coordination

Dr. Christopher Müller (Author)

1-23
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Machine Learning for Autonomous Vehicle Collision Prediction and Avoidance

Dr. Xiaoguang Wang (Author)

1-25
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IoT-enabled Intelligent Traffic Management Systems for Autonomous Vehicle Integration

Dr. Jérémy Fix (Author)

1-24
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IoT-enabled Adaptive Intrusion Detection Systems for Autonomous Vehicle Cybersecurity

Dr. Gül Büke Öztürk (Author)

1-24
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Governance Models for Decentralized Autonomous Organizations (DAOs): Studying governance models for DAOs, including decentralized decision-making mechanisms and community governance structures

Dr. Akiko Yoshikawa (Author)

1-9
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Cyber Threat Intelligence Sharing Frameworks for Autonomous Vehicle Ecosystems

Dr. Yan Song (Author)

1-22
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AI-Driven Approaches for Autonomous Vehicle Fleet Coordination and Routing

Dr. Alexey Karpov (Author)

1-23
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AI-Based Systems for Autonomous Vehicle Communication and Coordination

Dr. Anna Westin (Author)

1-23
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Deep Learning-based Emotion Recognition for Human-Vehicle Interaction in Autonomous Vehicles

Dr. Sudarshan Bhattacharyya (Author)

311-341
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Deep Learning for Weather Condition Adaptation in Autonomous Vehicles

Dr. Linda Rutten (Author)

274-306
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Deep Learning for Pedestrian Detection and Safety in Autonomous Driving

Dr. Jie Zhou (Author)

247-271
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Deep Learning for Autonomous Vehicle Traffic Sign Interpretation and Compliance

Dr. Sabrina Michie (Author)

215-244
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Deep Learning for Autonomous Vehicle Sensor Error Correction

Dr. Esther Collings (Author)

192-212
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