A5016905023- Network Security and Intrusion Detection
- Vehicular Ad Hoc Networks (VANETs)
- Anomaly Detection Techniques and Applications
- IoT and Edge/Fog Computing
- Autonomous Vehicle Technology and Safety
- Traffic and Road Safety
- Human Mobility and Location-Based Analysis
- Traffic Prediction and Management Techniques
- IoT and GPS-based Vehicle Safety Systems
- COVID-19 diagnosis using AI
- Traffic control and management
- Wireless Communication Networks Research
- Advanced Malware Detection Techniques
- Vehicle emissions and performance
- EEG and Brain-Computer Interfaces
- Energy Efficient Wireless Sensor Networks
- Product Development and Customization
- Water Quality Monitoring Technologies
- Advanced MIMO Systems Optimization
- Multi-Criteria Decision Making
- Evacuation and Crowd Dynamics
- Brain Tumor Detection and Classification
- Robotics and Sensor-Based Localization
- Educational Technology and E-Learning
- Wireless Communication Security Techniques
Alsalam University College
2021-2025
Tun Hussein Onn University of Malaysia
2019-2021
ZnO is an important II-IV n-type direct bandgap semiconductor material that has exhibited wide consideration due to its applications in optoelectronic devices. In the present investigation, untreated and plasma-treated NPs were fabricated by a sol-gel route analyzed with XRD, Raman, UV-Vis spectra, I–V characteristic techniques. To be used electronic applications, nanoparticles subjected plasma treatment process tune their optical, vibrational mode, structural electrical properties. XRD...
Mesenchymal stem cell (MSC) transfusion has shown promising results in treating COVID-19 cases despite the limited availability of these MSCs. The task prioritizing patients for MSC based on multiple criteria is considered a multi-attribute decision-analysis (MADA) problem. Although literature reviews have assessed prioritization MSCs, issues arising from imprecise, unclear and ambiguous information remain unresolved. Compared with existing MADA methods, robustness fuzzy decision by opinion...
Abstract When COVID-19 spread in China December 2019, thousands of studies have focused on this pandemic. Each presents a unique perspective that reflects the pandemic’s main scientific disciplines. For example, social scientists are concerned with reducing psychological impact human mental state especially during lockdown periods. Computer focus establishing fast and accurate computerized tools to assist diagnosing, preventing, recovering from disease. Medical doctors, or frontliners,...
The growth of the fish is influenced by a variety scientific factors. So, profit can be easily achieved using some clever techniques, for example, maintaining correct pH level along with dissolved oxygen (DO) and temperature, as well turbidity good fish. Fully grown are generally sold at price because in market governed weight size nurtured Artificial intelligence (AI)-based systems may created to regulate key water quality factors including salinity, oxygen, pH, temperature. software...
Road traffic accident management is very complex and sensitive issue. Recently, more attention has delivered to research in Vehicle-to-Pedestrian (V2P) communication systems, which function for different purposes such as safety or convenience cater Vulnerable User (VRU) groups. This paper gives a brief overview vehicle-to-pedestrian system with focusing on technologies that V2P employ it the mechanisms interact users. The varying characteristics of architecture applications needs be...
Maximum power point tracking (MPPT) algorithms are a practical solution to ensure the continuous operation of photovoltaic systems, maximize output PV system and overcome nonlinear characteristics under all circumstances. Different MPPT strategies were used achieve maximum system. There conventional algorithms. Also, there soft computing techniques attract PowerPoint. In this paper, approaches for solar systems reviewed compared in-depth with six different requirements, comparison shows that...
Abstract From a future perspective and with the current advancements in technology, deep reinforcement learning (DRL) is set to play an important role several areas like transportation, automation, finance, medical many more fields less human interaction. With popularity of its fast‐learning algorithms there exponential increase opportunities for handling dynamic environments without any explicit programming. Additionally, DRL sophisticatedly handles real‐world complex problems different...
The positioning of roadside units (RSUs) in a vehicle-to-infrastructure (V2I) communication system may have an impact on network performance. Optimal RSU is required to reduce cost and maintain the quality service. However, considered difficult task because numerous criteria, such as RSUs, intersection area strength, affect process must be considered. Furthermore, conflict trade-off amongst these criteria significance each criterion are reflected process. Thus, this work proposes new...
The vehicle-to-infrastructure (V2I) communication system allows the exchange of information between vehicles and road infrastructures. It aims to avoid or reduce vehicular accidents, increase mobility, provide other safety benefits. This paper aimed review analyze literature on data exchanges in V2I system. factors considered improve understanding various contextual aspects characteristics field were motivations, open challenges, recommendations from researchers. We systematically searched...
In the published article [...]
The autonomous landing of an unmanned aerial vehicle (UAV) on a moving platform is essential functionality in various UAV-based applications. It can be added to teleoperation UAV system or part control system. Various robust and predictive systems based the traditional theory are used for operating UAV. Recently, some attempts were made land target using reinforcement learning (RL). Vision as typical way sensing detecting target. Mainly, related works have deployed deep-neural network (DNN)...
Abstract Retraction: [Aryan Marwaha, Rami Qays Malik, Shehab Mohamed Beram, Ali Rizwan, Hari Kishore Kakarla, Deepak Thakur, Tanya Gera, Mohammad Shabaz, Visualisation‐based binary classification of android malware using vgg16, IET Software 2023 ( https://doi.org/10.1049/sfw2.12094 )]. The above article from , published online on 23 January in Wiley Online Library (wileyonlinelibrary.com), has been retracted by agreement between the Editor‐in‐Chief, Hana Chockler, Institution Engineering and...
Remote sensing image (RSI) classifier roles a vital play in earth observation technology utilizing (RS) data are extremely exploited from both military and civil fields. More recently, as novel DL approaches develop, techniques for RSI classifiers with have attained important breakthroughs, providing new opportunity the research development of classifiers. This study introduces an Improved Slime Mould Optimization graph convolutional network hyperspectral remote classification (ISMOGCN-HRSC)...