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.
Is something missing from the series or not right? See the RePEc data check for the archive and series.
Volume 4, issue 5, 2025
- Explainable Trust-Centric Artificial Intelligence for Integrated Healthcare, Financial Security, and Cyber-Risk Management pp. 01-06

- Sajjadur Rahman
- Cross-Domain Trust-Aware Artificial Intelligence for Behavioral Risk Prediction in Pediatric Healthcare, Financial Systems, and Public Decision Environments pp. 07-12

- Ankur Singh
- Ethical and Human-Aligned Artificial Intelligence for Public Welfare, Financial Integrity, and Pediatric Healthcare Decision Systems pp. 13-18

- Md Mishal Mahmood
- AI-Enhanced Sustainable Energy Management and Policy Recommendations for the U.S. Power Sector pp. 19-43

- Rayhanul Islam Sony, Shahariar Rashid Fahim and K M Shihab Hossain
- Unified OSS–BSS Convergence: Orchestrating Network Performance and Customer Experience in Telecom pp. 44-48

- Amar Gurajapu, Swapna Anumolu, Vardhan Garimella, Venkata Manikanta Sai Ramakrishna Chundi and Venkata Sita Anand Prakash Gubbala
- Governance Readiness Beyond Predictive Performance: An Empirical Benchmark for Higher-Education Early Warning Systems pp. 49-65

- Nafiz Imtiaz, Tama Rani Kundu, Ankita Roy, Md Ikram Hossain Bhuiyan, Koushikur Rahman and Md Kamrul Islam
- API-Driven Enterprise Integration Architecture for Digital Transformation in Manufacturing: A Practitioner Framework Based on Microsoft Azure Integration Services pp. 66-76

- Siddharth Chandwani
- Deep Learning and Explainable Benchmarking for Early Parkinson’s Disease Detection Using Speech Signals in the United States pp. 77-92

- Sadia Afrin Dipa, Hasibul Islam, Mousumi Akter, Farmina Sharmin, Md Shahnawaj and Hamim Islam Hellol
- Privacy-Preserving AI Architectures for Salesforce Healthcare CRM: A Human-Centered Framework for Trustworthy Intelligence in Regulated Care Operations pp. 93-97

- Susil Kumar Sahu
Volume 4, issue 4, 2025
- AI-Driven Data and Business Analytics for Smarter Wealth Management: Improving Financial Decision-Making, Risk Insights, and Portfolio Efficiency pp. 01-10

- Afm Tanvir Anjum, Lisa Chambugong and Malay Sarkar
- Human vs AI translation of Common Names of Chemical Compounds: A comparative Study pp. 11-24

- Reima Al-Jarf
- Unified Temporal Tokenization: A Hybrid Semantic and Numeric Mapping for Time-Aware Large Language Models pp. 25-42

- Inesh Hettiarachchi
- Specific Linguistic Questions that Artificial Intelligence (AI) Cannot Answer Accurately: Implications for Digital Didactics pp. 43-61

- Reima Al-Jarf
- Integrating Business Intelligence and Data Analytics to Optimize End-to-End Supply Chain Performance in U.S. Manufacturing and Logistics Networks pp. 62-70

- Tanmoy Saha Turja
- Predictive Analytics for Smart City Energy Management Using Machine Learning Techniques pp. 71-82

- Md Abdullah Al Montaser, Md Ariful Islam Bhuiyan and Aashish K C
- Modern Manufacturing Cloud Applications to Improve Reliability pp. 83-94

- Siddharth Chandwani
- Explainable Deep Fusion Transfer Learning for Automated Lung Disease Classification in the U.S. Healthcare Environment pp. 95-115

- Hamim Islam Hellol, Md Shahnawaj, Farmina Sharmin, Sadia Afrin Dipa, Mousumi Akter and Hasibul Islam
- Smarter Health for Everyone with an AI System That Detects Four Diseases and Gives Easy-to-Understand Clinical Advice pp. 116-137

- Md Anwar Hossain, Md Abedur Rahman, Md Sahid Hossain and Kallol Chakraborty Shekhor
- Operational and Financial Evidence for Generative AI in United States Healthcare Administrative Workflows pp. 138-145

- Clapher Ankur Gomes, Mahfuz Islam Khan Jabed, Tanvir Ahammad, Sourav Mandal, Sakib Hassan, Mahfujul Karim Sejan, Prudvi Saisaran Ponduru, Md Masum Bhuiyan and Md Luman Jamali
Volume 4, issue 3, 2025
- Quantum-Resilient Cryptographic Protocols for U.S. Data Security pp. 01-08

- Md Rasheduzzaman Labu
- Zero-Trust Architectures for Securing U.S. Critical Infrastructure pp. 09-16

- Md Fahim Ahammed
- A Spatio-Temporal AI Framework for Ecosystem Monitoring and Climate-Resilient Community Planning pp. 17-32

- Nagina Tariq
- AI model that predicts antibiotic resistance from bacterial genomes (AMR) using open sequencing data pp. 33-43

- Md Nazmul Hasan, Mohammad Mahmudul Hasan Bhuyain and Fariya Chowdhury
- Market basket analysis for healthcare services to identify bundled care offerings pp. 44-67

- Rakib Hassan Rimon, Nurujjaman and Md Manarat Uddin Mithun
- Adaptive Threat Detection Framework for IoT-Enabled Healthcare, Financial, and Connected Systems in the United States pp. 68-86

- Md. Arifur Rahman, B. M. Taslimul Haque, Md. Iqbal Hossan and Md. Serajul Kabir Chowdhury Rubel
- AI-Orchestrated Enterprise Integration Platforms for Intelligent Automation pp. 87-99

- Siddharth Chandwani
Volume 4, issue 2, 2025
- Pronunciation Errors in Arabic YouTube Videos Narrated by AI pp. 01-12

- Reima Al-Jarf
- An Integrated MIS–Cybersecurity Governance Framework for Risk-Adaptive IT Project Management in Critical Infrastructure Systems pp. 13-25

- Emran Hossain, Monjira Bashir, Ruhul Amin Md Rashed, Md Jubayar Hossain, Hasan Imam and Md Imtiaz Faruk
- Development of AI-Driven Machine Learning Systems for Real-Time Detection and Automatic Mitigation of Advanced Cyber Threats Across Critical Infrastructure pp. 26-35

- Khandoker Nasrin Ismet Ara, Tarannum Mithila and Md Mahababul Alam Rony
- Quantum Resilient Blockchain Protocols for Securing U.S. Financial Systems pp. 36-44

- Md Rasheduzzaman Labu and Md Fahim Ahammed
- Deep Learning for Intelligent Supply Chain Optimization: Enhancing Operational Efficiency and Waste Reduction in U.S. Service Industries pp. 45-62

- Md Rasibul Islam, Md Toushif Pramanik and Abdul Fahim Zeeshan Md
- Ethical and Trustworthy Autonomous Agents in Network SecOps: Transparency, Auditing, and Human-in-the-Loop Overrides pp. 63-66

- Amar Gurajapu, Swapna Anumolu, Vardhan Garimella, Venkata Manikanta Sai Ramakrishna Chundi and Venkata Sita Anand Prakash Gubbala
Volume 4, issue 1, 2025
- Adaptive Meta-Learning for Zero-Day Threat Discovery in Autonomous Cyber Defences pp. 01-16

- Ura Ashfin
- Federated Multi-Modal AI for Insider Threat Prediction in Hybrid Workforce Environments pp. 17-32

- Priyanka Ashfin
- Integrating Generative Design with Parametric CAD Tools: Towards Agile Mechanical Engineering Software Ecosystems pp. 33-46

- Sarmi Islam
- Explainable Graph Neural Networks for Malware Propagation Mapping in Supply-Chain Attacks pp. 47-60

- Md Naim Mukabbir
- Edge-Computing-Enabled Engineering Software for Smart Infrastructure: Balancing On-Device Analytics and Cloud Collaboration pp. 61-77

- Md Nazmul Hoque
- Goal-Driven Autonomous Agents for SLA-Aware Network Orchestration pp. 78-83

- Amar Gurajapu, Swapna Anumolu, Vardhan Garimella, Venkata Manikanta Sai Ramakrishna Chundi and Venkata Sita Anand Prakash Gubbala
- Machine Learning Framework for Liver Cirrhosis Stage Prediction Using Clinical and Biochemical Features pp. 84-97

- Tasmita Tanjim Tanha, Sanjida Ahamed Anonna and Yunisha Basnet
- Graph neural network-based prediction of cascading supply chain disruptions using real-time logistics and supplier risk data pp. 98-113

- Ramu Mannava, Jyothinadh Nadella, Gangadhar Reddy Bhimireddy and Bhagam Ravi Teja
Volume 3, issue 2, 2024
- Cloud-Edge Synergy for Low-Latency Autism Intervention pp. 01-06

- Md Ragybul Islam
- Cognitive-Adaptive AI Framework for Behavioral Crisis Prediction in Children with Autism pp. 07-10

- M Salman Khan
- Data-Centric Cyber-Defense Model for Connected Pediatric Devices pp. 11-17

- Sajjadur Rahman
- Emotion-Driven IoT Feedback Loop for Caregiver Training pp. 18-23

- Md Mishal Mahmood
- Explainability Metrics in Reinforcement-Based Therapy Systems pp. 24-30

- Ankur Singh
- Hybrid Deep-Learning Model for Predicting Meltdown Probability pp. 31-36

- Tasnim Sharif Rowla
- Integrating Cloud IoT and Federated Learning for Privacy-Preserving Autism Monitoring pp. 37-41

- S. M. Atikul Islam
- Operationalizing Predictive Modeling in Clinical Workflows: Design, Integration, and Validation of Decision Support Mechanisms within U.S. Healthcare Infrastructure pp. 37-45

- Kamrun Nahar, Md Zakir Hossain, Raqibul Islam, Md Munsur Khan and Mohammad Sazzad Hossain
- Authoritative Data Stores for Treasury Deposits: Sourcing, Certification, and Provisioning Standards for Enterprise Downstreams pp. 46-58

- Ravi Kumar Vallemoni
- Enterprise Readiness for Generative AI: The Critical Role of Data Engineering pp. 59-71

- Yuvachandra Marasani
- From Utility Bills to Retrofit Finance: An AI Framework for Energy-Burden-Aware Underwriting in Residential Decarbonization pp. 72-88

- Shah Farhan Rabbani, Yusuf Oli Rahat and Md Kamrul Islam
Volume 3, issue 1, 2024
- Towards Responsible Engineering Software: Ethical, Legal and Social Implications of Automated Design and AI-Driven Tools pp. 01-14

- Priyanka Ashfin
- Artificial intelligence for cybersecurity: Literature review and future directions pp. 15-25

- Ura Ashfin
- Role of Low-Code/No-Code Platforms in Engineering Software Development: Democratizing Simulation and Design pp. 26-39

- Sarmi Islam
- Operationalizing NIST AI RMF in Pediatric Behavioral Analytics pp. 40-45

- Ankur Singh and Mannujan Akther Mst
- Trustworthy Clinical Decision Pipeline for Autism Diagnosis pp. 46-51

- Sajjadur Rahman
- Multi-Agent Reinforcement Model for Emotional Regulation Coaching pp. 52-58

- M Salman Khan, Samia Akter Tithi and Farhana Yeasmin Mumu
- Real-Time Monitoring of Patient Adherence Using AI pp. 59-68

- Vijitha Uppuluri
- ML-Driven Performance Tuning Framework for Heterogeneous Unified Databases pp. 69-79

- Adithya Sirimalla
- Why Developers Fail When Building First-Generation Agents- Common Pitfalls and Cryptographically Grounded Design Solutions pp. 80-89

- Sunil Karthik Kota
- Performance Optimization Techniques for High-Frequency Trading and Financial Platforms pp. 90-96

- Ashmitha Nagraj
- Governance Gaps AI-Driven Fraud Detection: Machine Learning Strategies for Countering Generative Fraud in the U.S. Financial System pp. 97-119

- Md Manarat Uddin Mithun, Nurujjaman, Rahanuma Tarannum and Rakib Hassan Rimon
- Enhancing Data Quality and Trust in AI Systems Through Robust Data Engineering pp. 120-130

- Jagadeeswar Alampally
| |