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Computer Science

OpinionML: An Interpretable Machine Learning Framework for Opinion Mining on Social Networking Sites

Authors PhD, Computer Science, Technical College of Management/Mosul, Northern Technical University, [email protected] PhD, Computer Science, Institute of Technical Management – Nineveh, Northern Technical University, [email protected] PhD, Computer Science, College of Computer Science and Mathematics, University of Mosul, [email protected] Paper DOI https://doi.org/10.59992/IJCI.2026.v5n4p2 Abstract In recent years, the dramatic increase in the… اقرأ المزيد »OpinionML: An Interpretable Machine Learning Framework for Opinion Mining on Social Networking Sites

Emerging Architectures in Direct-Clip Optical Communication: A Comprehensive Review

Authors Department of Medical Instruments Engineering Techniques, University of Bilad Alrafidan, Diyala 32001, [email protected] Paper DOI https://doi.org/10.59992/IJCI.2026.v5n4p3 Abstract The global demand for ultra-high-speed data transmission intensifies, Intensity-Modulation Direct-Detection (IM/DD) systems have recently turned as the pillar of short-reach optical networks like 5G/6G front haul, hyper-scale data-centres and Optical Wireless Communication… اقرأ المزيد »Emerging Architectures in Direct-Clip Optical Communication: A Comprehensive Review

E-Healthcare Adoption, User Satisfaction, and Clinical Effectiveness

Authors Department of Business Management Technology Management, Technical College of Management/Mosul, Northern Technical University, Mosul, 41001, [email protected] Department of Information Technology Management, Technical College of Management /Mosul, Northern Technical University, Mosul, 41001, [email protected] Paper DOI https://doi.org/10.59992/IJCI.2026.v5n3p1 Abstract Background: E-healthcare, telemedicine, and online health platforms are being increasingly employed to facilitate… اقرأ المزيد »E-Healthcare Adoption, User Satisfaction, and Clinical Effectiveness

Performance Analysis and Quality of Service for Video Streaming in Vehicular Adhoc Networks

Authors Directorate of Nineveh Education, Vocational Education, Nineveh, Iraqi Ministry of Education, [email protected] Department of Artificial Intelligence, College of Science, University of Alkafeel, Najaf, [email protected] ITRDC, University of Kufa, [email protected] Paper DOI https://doi.org/10.59992/IJCI.2026.v5n3p2 Abstract Although safety applications have been the main driving force behind the development of Vehicular Ad-hoc Networks… اقرأ المزيد »Performance Analysis and Quality of Service for Video Streaming in Vehicular Adhoc Networks

Hardware Co-Simulation Based Deep Neural Networks for Liver Diseases Detection in MRI Images

Authors Department of Information Technology Management, Technical College of Management /Mosul, Northern Technical University, Mosul, 41001, Iraq [email protected] Technical College of Management/Mosul, Northern Technical University, Mosul, 41001, Iraq Department of Statistics and Informatics Techniques, Technical College of Management /Mosul, Northern Technical University, Mosul, 41001, Iraq Paper DOI https://doi.org/10.59992/IJCI.2026.v5n2p1 Abstract Accurate… اقرأ المزيد »Hardware Co-Simulation Based Deep Neural Networks for Liver Diseases Detection in MRI Images

A Comparative Study of Artificial Neural Networks and Reinforcement Learning Models

Authors Assistant Professor, Faculty of Information Technology, University of Bisha, Kingdom of Saudi Arabia [email protected] Paper DOI https://doi.org/10.59992/IJCI.2026.v5n2p3 Abstract Cyber-attacks have grown more sophisticated, posing critical threats to national infrastructure and data integrity. Deep learning methods, particularly Artificial Neural Networks (ANNs) and Reinforcement Learning (RL), offer promising capabilities in cyber… اقرأ المزيد »A Comparative Study of Artificial Neural Networks and Reinforcement Learning Models

A Consideration of Potential Strategies for Patient Safety from Cyberattack in the Healthcare Domain

Authors Department of Computer Networks, College of Computing and informatics, University of Al-Hamdaniya, Iraq [email protected] Department of Computer Networks, College of Computing and informatics, University of Al-Hamdaniya, Iraq [email protected] Department of Computer Networks, College of Computing and informatics, University of Al-Hamdaniya, Iraq [email protected] University of Technology Sydney, Australia [email protected] Paper… اقرأ المزيد »A Consideration of Potential Strategies for Patient Safety from Cyberattack in the Healthcare Domain

A Comprehensive Model for Evaluating Website Competence Using Web Mining Techniques

Authors Faculty of Computer Science and Information Technology, AL-Neelain University, Khartoum, Sudan [email protected] https://orcid.org/0009-0006-8188-4961 Associate Professor in Al-Neelain University, Faculty of   Computers and Information Technology –Khartoum, Sudan [email protected] https://orcid.org/0009-0001-7076-4212. Paper DOI https://doi.org/10.59992/IJCI.2026.v5n1p1 Abstract Evaluating websites has become increasingly critical as they function as primary platforms for information dissemination, communication, and… اقرأ المزيد »A Comprehensive Model for Evaluating Website Competence Using Web Mining Techniques

A proposed method for computing convolution neural network algorithms

Authors Electronic Engineering Dept., College of Electrical Engineering, University of Technology, Iraq Electronic Engineering Dept., College of Electrical Engineering, University of Technology, Iraq [email protected] Electronic Engineering Dept., College of Electrical Engineering, University of Technology, Iraq Electronic Engineering Dept., College of Electrical Engineering, University of Technology, Iraq Paper DOI https://doi.org/10.59992/IJCI.2026.v5n1p3 Abstract… اقرأ المزيد »A proposed method for computing convolution neural network algorithms

A Real-Time Vision-Based System for Driver Fatigue and Distraction Monitoring Using a Single In-Cabin RGB Camera

Authors College of Education, Computer Sciences, Mustansiriyah University, Baghdad, Iraq [email protected] Paper DOI https://doi.org/10.59992/IJCI.2026.v5n1p4 Abstract Driver fatigue and distraction are among the leading causes of road accidents worldwide, posing a critical challenge for intelligent transportation systems (ITS). Vision-based driver monitoring has emerged as a promising solution due to its non-intrusive… اقرأ المزيد »A Real-Time Vision-Based System for Driver Fatigue and Distraction Monitoring Using a Single In-Cabin RGB Camera