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Subhi R. M. Zeebaree

Publications (30)

A Smart MOOC Learning Assistant Semantic Course Hybrid Recommendations Based on Multi-platform Data Integration

Redeer Avdal Saleh & Subhi R. M. Zeebaree · Asian Journal of Advanced Research and Reports · 2026

Massive Open Online Courses (MOOCs) provide learners with broad access to educational resources; however, learners often face information overload, fragmented course discovery, and difficulty selecting courses that match their goals, skills, and learning preferences. The intellig...

Open access Research Article 10.9734/ajarr/2026/v20i51360

Optimizing Online Educational Experiences through Semantic Recommender Systems: A Review

Diman Jalal Mustafa & Subhi R. M. Zeebaree · Asian Journal of Research in Computer Science · 2025

Semantic Web technologies in providing personalized recommendations to learners in digital educational environments. It involves applying advanced methods like Resource Description Framework (RDF), Web Ontology Language (OWL), and SPARQL query language, and machine learning to un...

Open access Research Article 10.9734/ajrcos/2025/v18i10774

Web Technology and Cloud Computing in Enterprise System: The Role of AI for Digital Marketing

Aso Kareem Khurshed & Subhi R. M. Zeebaree · Asian Journal of Research in Computer Science · 2025

This study explores the transformative impact of Artificial Intelligence (AI) and cloud computing on digital marketing and organizational operations. As businesses increasingly leverage AI technologies, they gain the ability to create personalized marketing strategies that enhanc...

Open access Research Article 10.9734/ajrcos/2025/v18i5674

Optimizing Digital Marketing through Machine Learning in Cloud-Based Enterprise Systems: The Role of Web Technologies

Ayad Zedo Ismaeel & Subhi R. M. Zeebaree · Asian Journal of Research in Computer Science · 2025

The convergence of machine learning, cloud computing, and web technologies is transforming company strategies in digital marketing. As firms increasingly depend on data-driven tactics, machine learning provides robust capabilities for monitoring customer behavior, forecasting tre...

Open access Research Article 10.9734/ajrcos/2025/v18i5658

The Transformative Role of Augmented Reality (AR) and Virtual Reality (VR) in E-commerce and Digital Marketing: Enhancing Consumer Engagement and Trust

Aso Kareem Khurshed & Subhi R. M. Zeebaree · Asian Journal of Research in Computer Science · 2025

This review examines the transformative role of Augmented Reality (AR) and Virtual Reality (VR) technologies in e-commerce and digital marketing. AR and VR provide immersive and interactive experiences, bridging the gap between traditional in-store and online shopping by enabling...

Open access Research Article 10.9734/ajrcos/2025/v18i5641

The Role of Machine Learning in Enhancing Marketing Strategies within Cloud-based Enterprise Systems

Cheman Mohammed Abdullah & Subhi R. M. Zeebaree · Asian Journal of Research in Computer Science · 2025

Combining cloud computing, digital technologies, and machine learning is changing organizational systems and marketing techniques. This paper explores how this is happening. Switching to cloud-based systems improves operational efficiency and collaboration by increasing scalabili...

Open access Research Article 10.9734/ajrcos/2025/v18i5637

Cloud-Based Web Applications for Enterprise Systems: A Review of AI and Marketing Innovations

Chreesk Sabah M. Ali & Subhi R. M. Zeebaree · Asian Journal of Research in Computer Science · 2025

Through the integration of big data analytics, advanced artificial intelligence, and scalable cloud architectures, this paper explores how cloud-based web applications are revolutionizing enterprise systems. It draws attention to how dynamic cloud environments, which improve oper...

Open access Research Article 10.9734/ajrcos/2025/v18i4630

Smarter Marketing with AI: How Cloud Technology is Changing Business

Warveen merza eido & Subhi R. M. Zeebaree · Asian Journal of Research in Computer Science · 2025

The integration of Artificial Intelligence (AI) and cloud computing has revolutionized enterprise systems, particularly in predictive marketing. AI-powered enterprise solutions enable businesses to analyze vast amounts of data in real-time, enhancing decision-making, customer eng...

Open access Research Article 10.9734/ajrcos/2025/v18i4623

E-business Evolution: A Systematic Review of Technologies and Strategies Shaping Digital Transformation

Ayad Zedo Ismaeel & Subhi R. M. Zeebaree · Asian Journal of Economics, Business and Accounting · 2025

Digital transformation has emerged as a fundamental driver of innovation, efficiency, and sustainability across diverse industries. This study provides a comprehensive examination of contemporary research, focusing on emerging technologies, strategic frameworks, and the organizat...

Open access Research Article 10.9734/ajeba/2025/v25i41733

Data-Driven Decision Making for E-Business Success: A Review

Harem Mahdi Hadi & Subhi R. M. Zeebaree · Asian Journal of Research in Computer Science · 2025

The revolutionary impact of big data in data-driven decision making (DDDM) is examined in this paper, with particular attention to its vital uses in e-business. According to the report, companies may use Big Data analytics to extract useful information from large, complicated dat...

Open access Research Article 10.9734/ajrcos/2025/v18i4616

Emerging Trends in E-commerce: A Review of Consumer Behavior, Marketplaces and Digital Platforms

Iman Youssif Ibrahim & Subhi R. M. Zeebaree · Asian Journal of Research in Computer Science · 2025

Rapid technological developments intersect with changes in consumer habits within the ever-changing digital environment. This paper discusses future trends in e-commerce, where. A literature review strategy was used in an attempt to identify gaps that companies can leverage to ke...

Open access Research Article 10.9734/ajrcos/2025/v18i4607

A Review of Blockchain Technology In E-business: Trust, Transparency, and Security in Digital Marketing through Decentralized Solutions

Warveen merza eido & Subhi R. M. Zeebaree · Asian Journal of Research in Computer Science · 2025

Blockchain technology is revolutionizing the world of e-commerce by providing innovative ways to improve digital marketing security, transparency, and trust. This analysis examines the use of blockchain technology in a variety of areas, highlighting how it can help solve issues s...

Open access Research Article 10.9734/ajrcos/2025/v18i3602

A Review of Customer Engagement Strategies in Digital Marketing for E-Business Growth

Cheman Mohammed Abdullah & Subhi R. M. Zeebaree · Asian Journal of Economics, Business and Accounting · 2025

Nowadays, businesses use digital marketing communication to interact with customers and build enduring relationships. The study explores customer engagement tactics that rely on tailored messaging, social media management, content marketing, and influential people to evaluate the...

Open access Research Article 10.9734/ajeba/2025/v25i31703

Artificial Intelligence in E-commerce and Digital Marketing: A Systematic Review of Opportunities, Challenges, and Ethical Implications

Redeer Avdal Saleh & Subhi R. M. Zeebaree · Asian Journal of Research in Computer Science · 2025

The transformative power of AI has only just begun to redefine how businesses function and relate to their customers within e-commerce and digital marketing. In fact, AI really does help firms adjust to changes in consumer preference and market fluctuations by improving operation...

Open access Research Article 10.9734/ajrcos/2025/v18i3601

A Review of Omni-channel Strategies in E-commerce: Integrating Online and Offline Customer Journeys

Renjbar Sh. Othman & Subhi R. M. Zeebaree · Asian Journal of Economics, Business and Accounting · 2025

This study explores the evolution and implementation of omnichannel strategies in e-commerce, emphasizing the seamless integration of online and offline channels to enhance customer experience and operational efficiency. Omnichannel strategies in e-commerce integrate online and o...

Open access Research Article 10.9734/ajeba/2025/v25i31694

The Evolution of Consumer Trust in E-Commerce: Exploring Digital Strategies for Enhanced Loyalty

Karam Kamal Younis & Subhi R. M. Zeebaree · Asian Journal of Research in Computer Science · 2025

This review titled (The Evolution of Consumer Trust in E-Commerce: As evidenced in the article entitled Consumer Trust Dynamics in the Era of Digital Technologies: Uncovering Digital Approaches for Improving Loyalty, the development of consumer trust in e-commerce has emerged as...

Open access Research Article 10.9734/ajrcos/2025/v18i3594

Personalization in Digital Marketing: Leveraging Machine Learning for E-Commerce

Chreesk Sabah M. Ali & Subhi R. M. Zeebaree · Asian Journal of Research in Computer Science · 2025

In the era of digital transformation, machine learning (ML) techniques have revolutionized personalized marketing, enabling businesses to enhance customer engagement through data-driven strategies. This paper presents a systematic review of ML applications in digital marketing an...

Open access Research Article 10.9734/ajrcos/2025/v18i3582

A State of the Art Survey of Machine Learning Algorithms for IoT Security

Alan Fuad Jahwar & Subhi R. M. Zeebaree · Asian Journal of Research in Computer Science · 2021

The Internet of Things (IoT) is a paradigm shift that enables billions of devices to connect to the Internet. The IoT's diverse application domains, including smart cities, smart homes, and e-health, have created new challenges, chief among them security threats. To accommodate t...

Open access Research Article 10.9734/ajrcos/2021/v9i430226

Comparison of Software Defined Networking with Traditional Networking

Saad H. Haji, Subhi R. M. Zeebaree, Rezgar Hasan Saeed, Siddeeq Y. Ameen, Hanan M. Shukur, Naaman Omar, Mohammed A. M. Sadeeq, Zainab Salih Ageed, Ibrahim Mahmood Ibrahim & Hajar Maseeh Yasin · Asian Journal of Research in Computer Science · 2021

The Internet has caused the advent of a digital society; wherein almost everything is connected and available from any place. Thus, regardless of their extensive adoption, traditional IP networks are yet complicated and arduous to operate. Therefore, there is difficulty in config...

Open access Research Article 10.9734/ajrcos/2021/v9i230216

State of Art Survey for IoT Effects on Smart City Technology: Challenges, Opportunities, and Solutions

Rondik J. Hassan, Subhi R. M. Zeebaree, Siddeeq Y. Ameen, Shakir Fattah Kak, Mohammed A. M. Sadeeq, Zainab Salih Ageed, Adel AL-Zebari & Azar Abid Salih · Asian Journal of Research in Computer Science · 2021

Automation frees workers from excessive human involvement to promote ease of use while still reducing their input of labor. There are about 2 billion people on Earth who live in cities, which means about half of the human population lives in an urban environment. This number is r...

Open access Research Article 10.9734/ajrcos/2021/v8i330202

A Comprehensive Study of Kernel (Issues and Concepts) in Different Operating Systems

HayfaaSubhi Malallah, Subhi R. M. Zeebaree, Rizgar R. Zebari, Mohammed A. M. Sadeeq, Zainab Salih Ageed, Ibrahim Mahmood Ibrahim, Hajar Maseeh Yasin & Karwan Jameel Merceedi · Asian Journal of Research in Computer Science · 2021

Various operating systems (OS) with numerous functions and features have appeared over time. As a result, they know how each OS has been implemented guides users' decisions on configuring the OS on their machines. Consequently, a comparative study of different operating systems i...

Open access Research Article 10.9734/ajrcos/2021/v8i330201

IoT and ICT based Smart Water Management, Monitoring and Controlling System: A Review

Hajar Maseeh Yasin, Subhi R. M. Zeebaree, Mohammed A. M. Sadeeq, Siddeeq Y. Ameen, Ibrahim Mahmood Ibrahim, Rizgar R. Zebari, Rowaida Khalil Ibrahim & Amira B. Sallow · Asian Journal of Research in Computer Science · 2021

Water is a basic human need in all economic operations. Farmland, renewable energy, the industrial industry, and mining are all critical economic areas. Water supplies are under severe strain. With the population increase, the requirement for water from competing economic sectors...

Open access Research Article 10.9734/ajrcos/2021/v8i230198

Comprehensive Survey for Cloud Computing Based Nature-Inspired Algorithms Optimization Scheduling

Hazha Saeed Yahia, Subhi R. M. Zeebaree, Mohammed A. M. Sadeeq, Nareen O. M. Salim, Shakir Fattah Kak, Adel AL-Zebari, Azar Abid Salih & Helat Ahmed Hussein · Asian Journal of Research in Computer Science · 2021

Many applications in the real world include optimizing specific targets, such as cost minimization, energy conservation, climate, and maximizing production, efficiency, and sustainability. The optimization problem is strongly non-linear with multifunctional landscapes under sever...

Open access Research Article 10.9734/ajrcos/2021/v8i230195

A State of Art Survey for Intelligent Energy Monitoring Systems

Zainab Salih Ageed, Subhi R. M. Zeebaree, Mohammed A. M. Sadeeq, Maiwan B. Abdulrazzaq, Baraa Wasfi Salim, Azar Abid Salih, Hajar Maseeh Yasin & Awder Mohammed Ahmed · Asian Journal of Research in Computer Science · 2021

In this study, the significance and necessities of surveillance systems have been investigated in several areas - both in the use of neural networks, street lighting systems, factories, and laboratories - for the monitoring systems, especially concerning the design of artificial...

Open access Research Article 10.9734/ajrcos/2021/v8i130192

A Comprehensive Survey of 5G mm-Wave Technology Design Challenges

Bahzad Taha Jijo, Subhi R. M. Zeebaree, Rizgar R. Zebari, Mohammed A. M. Sadeeq, Amira B. Sallow, Sanaa Mohsin & Zainab Salih Ageed · Asian Journal of Research in Computer Science · 2021

Physical layer protection, which protects data confidentiality using information-theoretic methods, has recently attracted a lot of research attention. Using the inherent randomness of the transmission channel to ensure protection in the physical layer is the core concept behind...

Open access Research Article 10.9734/ajrcos/2021/v8i130190

A Survey of Optical Fiber Communications: Challenges and Processing Time Influences

Fairoz Q. Kareem, Subhi R. M. Zeebaree, Hivi Ismat Dino, Mohammed A. M.Sadeeq, Zryan Najat Rashid, Dathar Abas Hasan & Karzan Hussein Sharif · Asian Journal of Research in Computer Science · 2021

Optical fibers are utilized widely for data transmission systems because of their capacity to carry extensive information and dielectric nature. Network architectures utilizing multiple wavelengths per optical fiber are used in central, metropolitan, or broad‐area applications to...

Open access Research Article 10.9734/ajrcos/2021/v7i430188

A State of Art for Smart Gateways Issues and Modification

Lozan M. Abdulrahman, Subhi R. M. Zeebaree, Shakir Fattah Kak, Mohammed A. M. Sadeeq, Adel AL-Zebari, Baraa Wasfi Salim & Karzan Hussein Sharif · Asian Journal of Research in Computer Science · 2021

The Internet of Things (IoT) is a collection of objects such as sensors, actuators, and processors, which interconnected within a specific network to perform a task collaboratively. The IoT is one of the prevalent technologies, which has developed dramatically in recent years. It...

Open access Research Article 10.9734/ajrcos/2021/v7i430184

Efficiency of Malware Detection in Android System: A Survey

Maria A. Omer, Subhi R. M. Zeebaree, Mohammed A. M. Sadeeq, Baraa Wasfi Salim, Sanaa x Mohsin, Zryan Najat Rashid & Lailan M. Haji · Asian Journal of Research in Computer Science · 2021

Smart phones are becoming essential in our lives, and Android is one of the most popular operating systems. Android OS is wide-ranging in the mobile industry today because of its open-source architecture. It is a wide variety of applications and basic features. App users tend to...

Open access Research Article 10.9734/ajrcos/2021/v7i430189

E-business and Digital Marketing Strategies: Innovations, Challenges, and Emerging Trends

Diyar Waysi Naaman, Berivan Tahir Ahmed & Subhi R. M. Zeebaree · Asian Journal of Research in Computer Science · 2025

E-business and digital marketing evolution has revolutionized business communication with clients and markets through sales channels to establish deeper relationships for enhanced competitive position. This review combines knowledge from 20 recent studies to analyze the dual natu...

Open access Research Article 10.9734/ajrcos/2025/v18i4612

Deep Learning Approaches for Intrusion Detection

Azar Abid Salih, Siddeeq Y. Ameen, Subhi R. M. Zeebaree, Mohammed A. M. Sadeeq, Shakir Fattah Kak, Naaman Omar, Ibrahim Mahmood Ibrahim, Hajar Maseeh Yasin, Zryan Najat Rashid & Zainab Salih Ageed · Asian Journal of Research in Computer Science · 2021

Recently, computer networks faced a big challenge, which is that various malicious attacks are growing daily. Intrusion detection is one of the leading research problems in network and computer security. This paper investigates and presents Deep Learning (DL) techniques for impro...

Open access Research Article 10.9734/ajrcos/2021/v9i430229