Shavan Askar
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AI-driven multi-omics integration in precision oncology: bridging the data deluge to clinical decisions Open
Cancer's staggering molecular heterogeneity demands innovative approaches beyond traditional single-omics methods. The integration of multi-omics data, spanning genomics, transcriptomics, proteomics, metabolomics and radiomics, can improve…
Investigating the impact of serrated absorber plates on the efficiency of solar air heaters: A mathematical modeling study Open
Conventional solar air heaters often suffer from limited heat transfer efficiency due to suboptimal absorber plate designs and high irreversibility, constraining their applicability in thermal energy systems. Addressing this limitation, th…
Quality of Service (QoS) Optimization in 5G Using Machine Learning Open
The emergence of 5G networks has revolutionized communication systems by providing unprecedented speed, connectivity, and reliability. This breakthrough technology enables diverse applications such as autonomous vehicles, smart cities, and…
Dynamic Resource Allocation in Cloud Networks Using Deep Learning : A review Open
Resource allocation has been a very significant topic for both research and development over the last two decades. Given the increasing volume of data, the proliferation of connected devices, and the demand for seamless service delivery, o…
Machine Learning for Network Anomaly Detection A Review Open
This research aims to investigate the application of machine learning (ML) techniques in network anomaly detection to enhance security in the face of evolving cyber threats. Employing a systematic review of existing literature and experime…
Deep Learning for Dynamic Resource Management in 5G Networks: A Review Open
Dynamic resource management is important for 5G wireless networks to ensure they are efficient, scalable, and can handle growing connectivity demands while maintaining quality service. The aim of this review is to discuss how deep learning…
Deep Learning Techniques for Network Security Open
This article explores the seven outstanding deep-learning techniques used to enhance network security. It provides a comprehensive analysis of how these techniques address various cybersecurity challenges, including intrusion detection, ma…
Deep Learning Applications in Fog Computing Environments : a review Open
This review investigates the transformation of deep learning in a fog computing environment, strongly emphasizing synergy between these enabled technologies and their real-world consequences across various domains. Fog computing is the dec…
Integration of Deep Learning Applications and IoT for Smart Healthcare Open
The integration of deep learning (DL) applications with the Internet of Things (IoT) has emerged as a transformative approach for advancing smart healthcare systems. This review synthesizes findings from seven research studies, each explor…
Machine Learning Techniques for Enhancing Internet of Things (IoT) Performance A Review Open
The Internet of Things (IoT) is basically billions of interconnected smart devices that can communicate with little interference from humans, thus making life easier. The IoT is a fast-moving area of research, and the challenges are growin…
The Role of Deep Learning in Network Intrusion Detection Systems: A Review Open
This review synthesizes findings from several key studies focusing on the role of deep learning (DL) in network intrusion detection systems (NIDS). It highlights the growing importance of using DL techniques to enhance the detection of com…
Comprehensive Review of Advanced Machine Learning Strategies for Resource Allocation in Fog Computing Systems Open
This paper targets the development of advanced machine learning strategies for fog computing systems and is designed to further enhance current mechanisms related to resource allocation. Fog computing represents the extension of cloud faci…
THE UTILIZATION OF 6G IN INDUSTRY 4.0 Open
The sixth-generation (6G) communication technology has potential in various applications, for instance, industrial automation, intelligent transportation, healthcare systems, and energy consumption prediction. On the other hand, the concer…
EXPLORING THE IMPACT OF ARTIFICIAL INTELLIGENCE ON HUMANROBOT COOPERATION IN THE CONTEXT OF INDUSTRY 4.0 Open
The function of Artificial Intelligence (AI) in Human-Robot Cooperation (HRC) in Industry 4.0 is unequivocally important and cannot be undervalued. It uses Machine Learning (ML) and Deep Learning (DL) to enhance collaboration between human…
Exploring the Landscape of Smart Cities: A Comprehensive Review of IoT and Cyber-Physical Systems Open
They focus on housing, well-being, equality, clean energy and fair conditions. The cyber-physical approach involves the development of IoT and Cyber-Things. Smart cities have a variety of use cases, including electricity and transportation…
Image Copyright Protection Based on Blockchain Technology Review Open
On a daily basis, a significant number of individuals distribute several photos and videos that have been marginally modified from the original material produced by copyright owners, such as photographers, graphic designers, and video prod…
Deep Learning Algorithms for Detecting and Mitigating DDoS Attacks Open
Raising the threat of Distributed Denial of Service (DDoS) attacks means that high and adapted detection tools are required now more than ever. This research focuses on exploring the latest solutions in preventing DDoS attacks and emphasiz…
The Industrial Internet of Things (IIoT) and its roles in the Fourth Industrial Revolution: A review Open
The Industrial Internet of Things and Industry 4.0 are now two highly sought-after areas of research and development, attracting significant interest from both academic and industrial sectors. The two ideas, Industry 4.0 and IIoT, share si…
Deep Learning Algorithms for IoT Based Crop Yield Optimization Open
Precision agriculture, with its objectives of optimizing crop yields, decreasing resource waste, and enhancing overall farm management, has emerged as a revolutionary technology in modern agricultural practices. The advent of deep learning…
Fog Computing in Next Generation Networks: A Review Open
Cloud, Edge, and Fog computing has recently attracted significant attention in both industry and academia. However, finding their definition in computing paradigms and the correlation between them is difficult. In order to support modern c…
Deep Learning Based Security Schemes for IoT Applications: A Review Open
Due to its widespread perception as a crucial element of the Internet of the future, the Internet of Things (IoT) has garnered a lot of attention in recent years. The Internet of Things (IoT) is made up of billions of sentients, communicat…
Cyber Security Challenges in Industry 4.0: A Review Open
In the era of Industry 4.0, when smart factories and networked systems are reshaping the landscape of industrial production, the protection of important data and information security is a top priority. Cyber-physical systems and the techno…
Deep Learning in Medical Image Analysis Article Review Open
Transfer learning, in evaluation to common deep studying strategies which include convolutional neural networks (CNNs), stands proud due to its simplicity, efficiency, and coffee education value, efficaciously addressing the venture of res…
Challenges and Outcomes of Combining Machine Learning with Software-Defined Networking for Network Security and management Purpose: A Review Open
Current research in data dissemination in Vehicular Ad Hoc Networks (VANETs) has examined different approaches and frameworks to enhance the effectiveness and dependability of information sharing between vehicles on the road. The integrati…
Signal Propagation and Path- Loss in 6G Mobile Telecommunication System Open
As previous we know about many types of generation like (2G,3G and 4G network), and also it has been developed to the fifth – generation mobile communication system. Compare with 5G, 6G will be faster and lower latency, in 6G era, the theo…
Comparative Evaluation of VXLAN with Traditional Overlay Network Protocols Open
This article examines various network virtualization technologies, including Virtual Extensible LAN (VXLAN), as well as overlay network protocols such as VXLAN-EVPN (Ethernet VPN) and VXLAN-LISP (Locator/Identifier Separation Protocol). Th…
Enhancing Educational Paradigms: A Comprehensive Review of Virtual Desktop Infrastructure (VDI) Applications in Learning Environments Open
This article comprehensively evaluates Virtual Desktop Infrastructure (VDI) in academic environments. It explores the role of VDI in transforming and gaining knowledge via offering more advantageous accessibility and flexibility, addressin…