Frontiers in Computer Science and Artificial Intelligence
2022 - 2026
From Al-Kindi Center for Research and Development Bibliographic data for series maintained by Al-Kindi Center for Research and Development (). Access Statistics for this journal.
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Volume 5, issue 10, 2026
- A Transfer Learning and Multi-Scale Feature Fusion Framework for Early-Stage Alzheimer's Disease Classification from MRI Images pp. 01-14

- Shahidur Rahoman Sohag and Syed Murtoza Mushrul Pasha
- A process-orchestration reference architecture for end-to-end visibility across AI agents, RPA, and enterprise systems pp. 15-19

- Dipak Makhija
- Governance-driven enterprise integration architecture for modern HCM and legacy ERP synchronization: a Workday–COINS ERP reference framework pp. 20-32

- Dipak Makhija
- A Zero-Trust Cybersecurity Architecture for AI-Enabled Smart Manufacturing Systems pp. 33-41

- Vamsi Krishna Avineni
- Security-Performance Analysis of Post-Quantum Blockchain for Smart Cities: An Adaptive Edge-Batched ML-DSA Framework pp. 42-54

- Ahmed Chalak Shakir
- Multi-Agent AI Orchestration Architecture for Complex Enterprise Decision-Making and Workflow Automation pp. 55-83

- Kalaranjani Sathishkumar
Volume 5, issue 9, 2026
- Deep Learning Models for Early Detection of Chronic Diseases Using Multimodal Healthcare Data pp. 01-12

- Sarmin Akter, Irin Akter Liza, Md Shahidullah, Mitu Akter, Afsana Mahjabin Saima and Ayasha Marzan
- Crypto-Agile Zero Trust Architecture for IT-OT Convergence in Industrial Control Systems: A Digital Twin-Driven Framework over 5G/TSN with Post-Quantum Cryptography pp. 13-58

- Syed Mohiuddin Qadri
- Hybrid Cybersecurity: AI Models for Predicting Threats Across Multi-Cloud for U.S. Business Environment pp. 59-66

- Md Mahbubul Alam, Md Imran Khan and S M Sayem
- Artificial Intelligence-Driven Financial Data Analytics for Revenue Optimization, Risk Management, and Sustainable Growth of Small Businesses in the United States pp. 67-83

- Malay Sarkar and Jasmin Akter
- Generative AI-Driven Predictive Quality Control for Smart Manufacturing Systems pp. 84-90

- Venkata Naga Kishore Thota
- A Sequence-Connection Oriented Scheme for Detecting Gray/Black Hole Attacks in Mobile Ad-Hoc Networks pp. 91-98

- Baban Mahmood
- Comparing AI-Based and Traditional Epidemiological Models for Epidemic Forecasting in the USA. A Comparative Study of AI Models Versus Conventional Statistical Public Health Methods pp. 99-114

- Mohammad Shafiquzzaman Bhuiyan, Farhad Uddin Mahmud, Rejon Kumar Ray and Bishnu Padh Ghosh
- Token Optimization and AI Efficiency Patterns for Healthcare IT: A Practical Architecture for Cost, Performance, and HIPAA-Aware Deployment pp. 115-118

- Ashfak A Mohammad
- Architecting AI-Ready, HIPAA-Compliant CI/CD Pipelines in Healthcare IT: Balancing Interoperability, Legacy Constraints, and Operational Stability pp. 119-131

- Ashfak A Mohammad
- Cultivating Tomorrow's Minds: Faculty Perspectives on Technology-Enhanced Pedagogy in Punjab's Private Universities pp. 132-142

- Jogy Jose, Adnan Mohammed Bataineh, Kashif Ali Sabiri, Mohammed Ali Al-Zaabi, Sabra Murad Al Balushi and Sheikha Ali Al -Balushi
- Decoding Digital Evasion: Recognition and Interpretation of Obfuscated Arabic Text in Images by Gemini, Copilot, Claude, and Qwen pp. 143-168

- Reima Al-Jarf
- Algorithmic Panic, Cultural Misalignment, and Multimodal Over Filtration in AI Processing of Obfuscated Arabic Political Image-Texts about the USA–Israel–Iran Conflict pp. 169-193

- Reima Al-Jarf
- Toward Circular Economy and Intelligent FSCs: A Critical Review of AI-Driven Sustainability Transformation pp. 194-213

- Mahabub Rahman
- Sustainable Apparel Supply Chains: A Review of AI-Driven Optimization, Waste Reduction, and Circular Economy Practices pp. 214-231

- Nadira Kulsum Papri
- Agentic Artificial Intelligence for Intelligent Business Decision-Making: A Multi-Agent Framework Integrating Large Language Models, Explainable AI, and Business Intelligence pp. 232-245

- Md Yassir Mottalib, Eklachur Rahman Bhuiyan, Md Jamil Ahmmed, Asaduzzaman Anik, Wali Ullah Sm, Marjahan Risalat and Md. Salahuddin Gazi
- Artificial Intelligence in Education: Transforming Learning Outcomes, Academic Integrity, and Pedagogical Innovation in Higher Education pp. 246-259

- Ahnaf Afsin, Rumaysha Tahan Towaa, Kasif Suhail Ayate, Farzana Parvez and Kazi Mamun Parvez
- DACS: A Plaintext-Dependent Dynamic Affine–Chaotic Stream Cipher for Efficient Symmetric Encryption with Resistance to Linear and Statistical Cryptanalysis pp. 260-273

- Aso Ahmed Majeed
- Enhancing Data Privacy and Governance in Cloud-Deployed Large Language Models Using Deep Learning-Based Risk Mitigation pp. 274-280

- Naresh Alapati, Ramachander Rao Thallada and Koteswararao Nallabothu
- Explainable and Risk-Aware AI for Autonomous Cyber Defense and Reliable Incident Response Across U.S. Public and Enterprise Digital Services: The XR-ACD Framework pp. 281-298

- Muhammad Saad Khawar, Fawad Mir and Jawad Yaqoob Mir
- Optimizing Fully Homomorphic Encryption for Real-Time Transformer Inference pp. 299-319

- Kameran Ali Ameen
- AI-Assisted Embedded System Verification Framework for Connected Vehicles pp. 320-327

- Leela Lakshmi Sirana Jayaram
- From Real to Synthetic: An Analytical Machine Learning and Generative AI Approach for Reducing Early Readmissions in U.S. Diabetic Patients pp. 328-340

- Md. Kamruzzaman, Sujoy Saha, Md Nazmul Alam Bhuiyan, Md. Shoeb Siddiki, Rabi Sankar Mondal and Dr Tufael Ahmed
- AI-Driven Predictive Workload Management in Contact Centres: A Review of Forecasting, Staffing, Real-Time Optimization, and Human-AI Governance pp. 341-354

- Ammar Khalid
- Addressing Demand Forecasting Challenges in the U.S. Retail Supply Chains: An AI-Driven Machine Learning Evaluation of Historical, Operational, and Macroeconomic Information pp. 355-368

- Sujoy Saha, Md Firoze Mehedi, Tariqul Islam and Md Kamrul Islam
Volume 5, issue 8, 2026
- AI-Based Schedule Overrun Prediction in Technical Projects Using Gradient Boosting Machine for Decision Support pp. 01-16

- Abdelkarim Ramzy Sweilem, Hala Jamil Abdoh and Ahmad Jamil Abdoh
- Cost-Aware Prompt Engineering: A Governance Architecture for Optimizing Enterprise AI Agents pp. 17-24

- Prasad Maderamitla
- Autonomous Decision Intelligence for Secure and Resilient Digital Enterprises pp. 25-42

- Helal Murshed, Narmin Sayeed and Subha Shamarukh
- Artificial Intelligence in Crime Scene Reconstruction: Using Machine Learning for Predictive Analysis and Scenario Simulation pp. 43-57

- Mohammed Nazmul Islam Miah, Joshim Uddin Md and Manohar Kakumani
- Investigating the Security Risks of Gen-AI-Powered Phishing Attacks on University Students pp. 58-66

- Islam Ahmed Samun and Md Fahim Ahammed
Volume 5, issue 7, 2026
- Artificial Intelligence and Data Analytics in U.S. Mental Health Insurance: Predictive Risk Modeling, Cost Efficiency, and Equitable Access pp. 01-11

- Lisa Chambugong and Azhar Uddin
- Operationalizing Post-Quantum Cryptography in Multi-Cloud Environments pp. 12-24

- Syed Mohiuddin Qadri
- Artificial Intelligence for High-Stakes Decision Support: Architectures, Applications, and Deployment Challenges pp. 25-37

- Shahadat Molla and S M Zobayed
- Cross-Domain Applications of Artificial Intelligence: A Systematic Review of Models, Data Modalities, and Deployment Readiness pp. 38-50

- Md Golam Sarwar, Shahadat Hossain and Md Risalat Hossain Ontor
- Explainable Deep Learning and Transformer Models for Applied AI: A Review Across Medical, Agricultural, Industrial, and Business Domains pp. 51-63

- S M Zobayed
- Generative AI and IoT-Driven Autonomous Manufacturing Ecosystems Transition from Industry 4.0 to Industry 5.0 pp. 64-70

- Raghuram Katakam, Chirag Agrawal, Shaik Abdul Kareem and Akash Abaji Kadam
Volume 5, issue 6, 2026
- AI-Driven Digital Twin Framework for Real-Time Optimization of Smart Manufacturing Systems in Industry 5.0 pp. 01-04

- Venkata Naga Kishore Thota
- Intelligent Cloud Monitoring Using AIOps in the Microsoft Azure Ecosystem pp. 05-12

- Siddharth Chandwani
- B2B Integration Patterns in the Chemical Industry pp. 13-21

- Siddharth Chandwani
- A Systematic Literature Review on the Taxonomy of Ransomware Attacks pp. 22-24

- Abdullah Al Mamun, Md Tajmilur Rahma and Yunkai Liu
- AI-Based PCB Layout Constraint Manager: Intelligent Automation for High-Speed PCB Design Rule Enforcement pp. 25-30

- David George
- Failure-Mode Analysis, Hallucination Detection, and Prompt-Injection Testing: A Production-Readiness Framework for Enterprise Agentic AI pp. 31-35

- Prasad Maderamitla
- Artificial Intelligence and Big Data for Precision Medicine: A Review of Bioinformatics-Driven Healthcare Applications pp. 36-43

- Mohammad Abdus Sami, Md Lutfor Rahman, Zerin Akter Tanni, Zakia Sultana Munmun, Sabiha Nusrat and Bidhan Biswas
- Leveraging Artificial Intelligence Applications to Enhance Awareness of Sustainable Development Goals in Saudi Arabia: An Applied Study pp. 44-67

- Abdal Halim Mousa Yagub Abdalrazig, Omer Elsheikh Hago Elmahdi and Abdullah Falah Alotaibi
Volume 5, issue 5, 2026
- Use-Case-Driven Model Selection and Configuration for Enterprise AI Workflows pp. 01-09

- Sathiesh Veera
- Enterprise Data Migration Strategies for High-Assurance Information Systems pp. 10-16

- Vasudevan Ananthakrishnan
- A 6G-Enabled AI-Powered Intelligent Healthcare Integrating IoMT and Edge Computing pp. 17-29

- Sanjida Ahamed Anonna, Yunisha Basnet and Md Mehedi Hasan
- Developing AI-Based Financial Forecasting and Cybersecurity Systems for the U.S. Digital Economy pp. 30-38

- Mahfuz Islam Khan Jabed, Md Riad Mahamud Sirazy, Sourav Mandal, Sharmin Akter, Ali Hassan and Hammed Esa
- A Secure Microservices Reference Architecture for Financial Cloud Systems Using Spring Boot and Event-Driven Design pp. 39-45

- Garima Agarwal
- Enhancing Retail Checkout Efficiency Through a Hybrid YOLOv8-Based Grocery Detection and Billing System pp. 46-55

- Safaina Khan Oishi, Md. Minhazul Islam, Shakhar Das Rony, Rabbi Sadnan Khan, Md. Moshiur Rahman and Mustak Ahmmed
- Cognitive Hives: A Distributed Systems Theory for Conflict-Aware Multimodal Intelligence pp. 56-72

- Inesh Hettiarachchi
- Computational Health Informatics for Diabetes Risk Prediction: An Optimized Fuzzy Logic Framework pp. 73-85

- Mohanad F. Jwaid
Volume 5, issue 4, 2026
- Predictive Financial Technologies for Strengthening Liquidity and Cash-Flow Management in U.S. Small Enterprises pp. 01-09

- Sakera Begum
- Observability for LLM apps: what to log, privacy-safe telemetry, KPIs pp. 10-14

- Prasad Maderamitla and Subba Rao Katragadda
- An Explainable Machine Learning Framework for Mortality Risk Prediction of Liver Cirrhosis Patients in the U.S. Healthcare System pp. 15-26

- Ekramul Hasan, Nurtaz Begum Asha, Mustafizur Rahaman, Mostafizur Rahman Shakil, Md Musa Haque, Dipta Paul and Md Al Amin
- Artificial Intelligence in Sentencing: Evaluating Machine Learning Models for Sentencing Recommendations in the U.S pp. 30-43

- Mohammed Nazmul Islam Miah, Md Joshim Uddin and Manohar Kakumani
- AI- and Data Science–Driven Healthcare Revenue Optimization and Payment Integrity Modeling in U.S. Public and Private Insurance Systems pp. 44-53

- Afm Tanvir Anjum, Sirapa Malla and Md Refadul Hoque
- Machine Learning for Identifying Deepfake-Driven Identity Abuse, Authentication Evasion, and Customer Impersonation in U.S. Banking pp. 54-67

- Yusuf Oli Rahat, Md Kamrul Islam and Shah Farhan Rabbani
Volume 5, issue 3, 2026
- Generative AI for Supplier Relationship Management: Applications, Challenges, and Future Directions pp. 01-08

- Sanjay Vijay Mhaskey
- Are Arabic YouTube Videos Narrated by Artificial Intelligence Suitable for Training Foreign Students in Listening Skills? pp. 09-23

- Reima Al-Jarf
- Artificial Intelligence–Enabled E-Commerce Systems and Automated Warehousing: Economic Effects from Amazon FBA in the U.S. Market pp. 24-34

- Malay Sarkar
- Safeguarding Public Healthcare Spending with Explainable AI: A Statistically Validated Machine Learning Framework for Medicaid Fraud Detection and Electronic Visit Verification pp. 35-44

- Md Sibbir Hossain and A T M Fokrule Hasan
Volume 5, issue 2, 2026
- A Trust-Calibrated Federated Learning Framework for Predicting Behavioral Escalation in Children with Autism Using Edge IoT Systems pp. 01-06

- S. M. Atikul Islam
- Socio-Technical Integration of AI Decision Support in Autism Care: Implications for Caregiver Workflows, Trust, and Workforce Sustainability pp. 07-12

- Mannujan Akther Mst, Samia Akter Tithi and Farhana Yeasmin Mumu
- Parallel Deep Learning for Cybersecurity-Oriented Multi-Platform Social Media Bot Detection pp. 13-20

- Md Shakhawat Hossen, Md Reduanur Rahman, Md Abdul Alim, Nasrin Akter Tohfa, Mamunur Rahman and Iftekhar Rasul
- Artificial Intelligence for Revenue Forecasting, Risk Management, and Financial & Business Planning in International Sports Tourism: The FIFA World Cup USA 2026 Case pp. 21-30

- Sanjida Rahman, Afm Tanvir Anjum, Jannat Ara and Malay Sarkar
- AI-Driven Big Data Analytics for Precision Medicine and Healthcare Intelligence: A Unified Framework for Cancer, Chronic Disease, and Clinical Decision Optimization pp. 41-62

- Md Minzamul Hasan, Md. Ishtiaque Alam, Md Amjad Hossain Chowdhury and Md Mazharul Anwar
- Shift-Left Security Validation of Containers via Kubernetes Admission Webhook pp. 63-68

- Amar Gurajapu, Swapna Anumolu, Anurag Agarwal and Vasavi Yeka
- Hybrid Deep Learning and Machine Learning Approaches for Industrial Power Load Forecasting: A Review pp. 69-79

- Remon Das, Md Abdul Ahad Juel and Md. Raisul Islam
Volume 5, issue 1, 2026
- Explainable Reinforcement Learning for Caregiver Decision Support in Autism: A Human-in-the-Loop Safety Architecture pp. 01-06

- Tasnim Sharif Rowla
- Systematic Review and Meta-Analysis of 2024–2025 Studies on AI Arabic Translation, Linguistics and Pedagogy pp. 07-27

- Reima Al-Jarf
- Operationalizing the NIST AI Risk Management Framework for AI-Driven Autism Care Systems: A Governance-Centric Technical Architecture pp. 28-33

- M Salman Khan
- Multimodal Behavioral Signal Fusion Using Wearable IoT and Context-Aware Machine Learning for Early Autism Escalation Detection pp. 34-39

- Md Ragybul Islam
- A Scalable Machine Learning Strategy for Chronic Kidney Disease Screening Across U.S. Healthcare Systems pp. 40-54

- S M Tamim Hossain Rimon, Ekramul Hasan, Nurtaz Begum Asha, Ruksana Sultana, Farmina Sharmin, Mustafizur Rahaman and Mostafizur Rahman Shakil
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