Vol. 4 No. 1 (2024): Journal of Artificial Intelligence Research and Applications

Articles

• Intelligent Virtual Assistants for Patient Engagement in Dental Healthcare

  Kai Wang (Author)

  14-23

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• AI-driven Drug Repurposing for Novel Therapeutic Applications Utilizes AI algorithms to identify existing drugs with potential therapeutic applications in new disease areas

  Dr. Natalia Petrova (Author)

  182-190

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• Intelligent Decision Support Systems for Dental Treatment Planning

  Mia Chen (Author)

  1-14

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• Deep Learning Approaches for Automated Diagnosis of Neurological Disorders

  Priya Desai (Author)

  22-31

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• AI-Enabled Healthcare Chatbots for Personalized Patient Interaction

  Arjun Patel (Author)

  32-39

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• Driving Business Growth through AI-Driven Customer Insights: Leveraging Big Data Analytics for Competitive Advantage

  Thomas Fischer (Author)

  56-72

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• Personalization in Insurance and Banking Services: AI and ML Applications

  Pankaj Zanke, Dipti Sontakke, Ahmed Hassan (Author)

  39-55

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• Software Architecture Documentation - Guidelines and Tools: Studying guidelines and tools for documenting software architecture effectively to facilitate communication and decision-making

  Dr. Mikhail Ivanov (Author)

  82-92

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• Agile Software Development - Recent Advances and Best Practices: Analyzing recent advances and best practices in agile software development methodologies for improved project management

  Dr. Sofia Fernandez (Author)

  73-81

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• Medical Image Analysis - Challenges and Innovations: Studying challenges and innovations in medical image analysis for applications such as diagnosis, treatment planning, and image-guided surgery

  Ramswaroop Reddy Yellu, Yoganandasatish Kukalakunta , Praveen Thunki (Author)

  93-100

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• Exploring the Intersection of Computer Vision and Generative Adversarial Networks in Medical Image Synthesis

  Dr Emily Chen, Prof. Chien-Ming, Dr Steve Lockey, Dr Hassan Khosravi , Dr Nell Baghaei (Author)

  101-122

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• Enhancing Cybersecurity through Machine Learning-driven Anomaly Detection Systems

  Dr Emily Chen, Prof. Chien-Ming, Dr Steve Lockey, Dr Hassan Khosravi , Dr Nell Baghaei (Author)

  123-135

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• Towards Real-Time Automated Failure Detection and Self-Healing Mechanisms in Cloud Environments: A Comparative Analysis of Existing Systems

  Vishal Shahane (Author)

  136-158

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• AI-driven Clinical Decision Support Systems for Antibiotic Stewardship: Develops AI-driven clinical decision support systems for antibiotic stewardship, promoting appropriate antibiotic use and combating antimicrobial resistance in healthcare settings

  Dr. Yannis Papadopoulos (Author)

  159-169

• AI-driven Clinical Documentation Improvement for Electronic Health Records Implements AI-driven solutions for clinical documentation improvement in electronic health records, enhancing accuracy and completeness of clinical documentation for billing and q

  Dr. Quang Le (Author)

  170-181

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• Quantum-enhanced Optimization - Applications and Challenges: Analyzing applications and challenges of quantum-enhanced optimization algorithms for solving large-scale optimization problems in various domains

  Dr. Carlijn Van Nieuwenhuizen (Author)

  296-306

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• Quantum Random Number Generation - Security Analysis: Investigating security analysis of quantum random number generation (QRNG) methods for generating truly random numbers with quantum mechanical processes

  Dr. Ibrahim Traboulsi (Author)

  308-319

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• Quantum Neural Networks - Architectures and Training: Exploring architectures and training methods for quantum neural networks (QNNs) to perform quantum-enhanced learning and decision-making tasks

  Dr. Giovanna Di Guglielmo (Author)

  320-328

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• Quantum Computing in Risk Assessment

  Dr. Esteban Botaro (Author)

  286-295

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• IoT-enabled Adaptive Control Systems for Cyber-Physical Security in Autonomous Vehicles

  Dr. Li Guo (Author)

  260-283

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• Hybrid Threat Detection Models for Cybersecurity in Autonomous Vehicle Networks

  Dr. Luisa Mastroianni (Author)

  235-258

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• Hybrid AI Models for Threat Prediction and Mitigation in Autonomous Vehicle Networks

  Dr. Chioma Ogwuegbu (Author)

  208-233

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• Machine Learning Models for Intelligent Test Data Generation in Financial Technologies: Techniques, Tools, and Case Studies

  Amsa Selvaraj, Chandrashekar Althati, Jegatheeswari Perumalsamy (Author)

  363-397

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• AI-Driven Approaches for Test Data Generation in FinTech Applications: Enhancing Software Quality and Reliability

  Amsa Selvaraj, Munivel Devan, Kumaran Thirunavukkarasu (Author)

  397-429

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• AI and Machine Learning Techniques for Automated Test Data Generation in FinTech: Enhancing Accuracy and Efficiency

  By Amsa Selvaraj, Bhavani Krothapalli, Lavanya Shanmugam (Author)

  329-363

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• Change Management in Environmental Adaptation and Resilience for Autonomous Vehicles: Leveraging Deep Learning for Enhanced Performance

  Dr. Derek Lichti (Author)

  183-206

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• Change Management in Deep Learning for Environment Understanding and Mapping in Autonomous Vehicles

  Dr. Adebayo Ajayi (Author)

  148-179

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• Change Management in Predictive Maintenance for IoT-Enabled Autonomous Vehicles: Harnessing Computational Intelligence for Enhanced Operational Efficiency

  Dr. Giovanna Di Guglielmo (Author)

  117-146

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• Causal Inference Methods - Estimating Causal Effects: Investigating causal inference methods for estimating causal effects from observational data to make informed decisions

  Dr. Lena Nilsson (Author)

  236-242

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• Adaptive Network Segmentation Strategies for Cybersecurity in Autonomous Vehicle Networks

  Dr. Anna Wilson (Author)

  209-233

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• Federated Learning Approaches for Collaborative Threat Detection in Autonomous Vehicle Networks

  Dr. Xiaojing Wang (Author)

  430-452

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• Blockchain-based Voting Systems: Studying blockchain-based voting systems for secure, transparent, and tamper-resistant electronic voting in elections and referendums

  Dr. Ekaterina Ovchinnikova (Author)

  453-460

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• Blockchain-enabled Supply Chain Management: Investigating the application of blockchain technology in supply chain management for traceability, transparency, and efficiency

  Dr. Xiaojing Wang (Author)

  461-470

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• Foundation Models in Medical Imaging: Revolutionizing Diagnostic Accuracy and Efficiency

  Kummaragunta Joel Prabhod, Asha Gadhiraju (Author)

  471-511

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• Generative AI in Radiology: Transforming Image Analysis and Diagnosis

  Asha Gadhiraju, Kummaragunta Joel Prabhod (Author)

  512-555

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• Zero Trust Architecture: Implementing Microsegmentation in Enterprise Networks

  Vinay Kumar Reddy Vangoor, Sai Manoj Yellepeddi, Chetan Sasidhar Ravi, Ashok Kumar Pamidi Venkata, Pranadeep Katari (Author)

  512-538

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• Integrating LLMs into AI-Driven Supply Chains: Best Practices for Training, Development, and Deployment in the Retail and Manufacturing Industries

  Gowrisankar Krishnamoorthy, Mahadu Vinayak Kurkute, Jeevan Sreerama (Author)

  592-627

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• Large Language Models in Retail: Best Practices for Training, Personalization, and Real-Time Customer Interaction in E-Commerce Platforms

  Deepak Venkatachalam, Jeevan Sreerama, Rajalakshmi Soundarapandiyan (Author)

  539-592

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• Broker-Led Medicare Enrollments: Assessing the Long-Term Consumer Financial Impact of Commission-Driven Choices

  Dr. Juan Carlos Pereira, Tobias Svensson (Author)

  627-645

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• AI-Powered NLP Agents in DevOps: Automating Log Analysis, Event Correlation, and Incident Response in Large-Scale Enterprise Systems

  Venkata Mohit Tamanampudi (Author)

  646-689

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• Automating IT Service Management in Manufacturing: A Deep Learning Approach to Predict Incident Resolution Time and Optimize Workflow

  Mahadu Vinayak Kurkute, Priya Ranjan Parida, Dharmeesh Kondaveeti (Author)

  690-731

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• Evaluating Time Complexity in Distributed Big Data Systems: A Case Study on the Performance of Hadoop and Apache Spark in Large-Scale Data Processing

  Anil Kumar Ratnala, Rama Krishna Inampudi, Thirunavukkarasu Pichaimani (Author)

  732-773

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• Advanced Data Integration Techniques for Healthcare Claims Processing: Leveraging AI and Automation to Streamline Information Flow

  Deepak Venkatachalam, Prabhu Krishnaswamy, Srinivasan Ramalingam (Author)

  774-818

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• AI-Powered Customer Relationship Management in Retail: Enhancing Personalization and Predictive Insights Using Generative AI Models

  Yeswanth Surampudi, Srinivasan Ramalingam, Ravi Kumar Burila (Author)

  901-946

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• Enterprise Architecture Frameworks for Cloud Transformation: Aligning Business Strategy with Cloud Migration Goals

  Priya Ranjan Parida, Srinivasan Ramalingam, Ravi Kumar Burila (Author)

  818-859

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• Implementing Generative AI in Retail CRM Systems: Enhancing Customer Insights and Personalization Through Large Language Models

  Anil Kumar Ratnala, Ravi Kumar Burila, Srinivasan Ramalingam (Author)

  860-900

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