A5053868880- Microwave Imaging and Scattering Analysis
- Advanced Neural Network Applications
- Image and Signal Denoising Methods
- Radar Systems and Signal Processing
- Advanced Vision and Imaging
- Geophysical Methods and Applications
- Video Surveillance and Tracking Methods
- Image Enhancement Techniques
- Advanced SAR Imaging Techniques
- Wireless Body Area Networks
- Plasmonic and Surface Plasmon Research
- UAV Applications and Optimization
- Energy Harvesting in Wireless Networks
- Electric Vehicles and Infrastructure
- Microgrid Control and Optimization
- Orbital Angular Momentum in Optics
- Advanced Image Fusion Techniques
- Hemoglobinopathies and Related Disorders
- Hand Gesture Recognition Systems
- Metamaterials and Metasurfaces Applications
- Antenna Design and Analysis
- Smart Agriculture and AI
- Wireless Communication Security Techniques
- Fuel Cells and Related Materials
- Optical Wireless Communication Technologies
University of Tabuk
2022-2025
University of Hafr Al-Batin
2024-2025
Jouf University
2020-2023
Prince Sattam Bin Abdulaziz University
2023
Salmaniya Medical Complex
2023
University of Dayton
2017
Royal Commission for Jubail and Yanbu
2017
Yanbu Industrial College
2017
King Abdulaziz City for Science and Technology
2011
This paper develops a recent methodology based on social spider optimizer (SSO) to determine the optimal sizing of hybrid renewable energy sources (RESs) integrated microgrid (MG). It comprises photovoltaic (PV), wind turbine (WT), battery, diesel generator (DG), and inverter. The cost (COE) is proposed as fitness function. objective SSO three design variables which are number PV panels, WT, battery autonomy days such that COE minimized. Additionally, an management strategy presented. Loss...
This paper presents the design and implementation of a health monitoring system using Internet Things (IoT). In present days, with expansion innovations, specialists are always looking for innovative electronic devices easier identification irregularities within body. IoT-enabled technologies enable possibility developing novel noninvasive clinical support systems. care system. particular, COVID-19 patients, high blood pressure diabetic etc., in rural area country, such as Bangladesh, do not...
In order for a country’s economy to grow, agricultural development is essential. Plant diseases, however, severely hamper crop growth rate and quality. the absence of domain experts with low contrast information, accurate identification these diseases very challenging time-consuming. This leads an management system in need method automatically detecting disease at early stage. As consequence dimensionality reduction, CNN-based models use pooling layers, which results loss vital including...
In this paper, a recent metaheuristic approach of sparrow search algorithm (SSA) is employed to manage the operation microgrid (MG) in an optimal manner. Two optimization problems are formulated work, first one single objective problem that aims at minimizing either total operating cost or emission from system. The second multi-objective comprising both and simultaneously. A new version SSA proposed energy MG optimally. considered comprises photovoltaic modules (PV), wind turbine (WT), fuel...
In this work, a compact, inexpensive, and efficient dual band microwave sensor is proposed. The based on two Complementary Symmetric Split-Ring Resonators (CSSRRs) possesses high <inline-formula xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink"> <tex-math notation="LaTeX">$Q$ </tex-math></inline-formula> factor wide sensing range. These CSSRRs are coupled electrically with inductive patches to the Microstrip Transmission Line (MTL). This combination...
Drones/unmanned aerial vehicles (UAVs) have recently grown in popularity due to their inexpensive cost and widespread commercial use. The increased use of drones raises the possibility that they may be employed illicit activities such as drug smuggling terrorism. Thus, drone monitoring automated detection are critical for protecting restricted areas or special zones from operations. One most challenging difficulties surveillance videos is apparent likeness against varied backdrops. This...
A country’s economy heavily depends on agricultural development. However, due to several plant diseases, crop growth rate and quality are highly suffered. Accurate identification of these diseases via a manual procedure is very challenging time-consuming because the deficiency domain experts low-contrast information. Therefore, management system searching for an automatic early disease detection technique. To this end, efficient lightweight Deep Learning (DL)-based framework (E-GreenNet)...
A design of a self-complementary dual-band fifth-generation (5G) antenna for wireless body area network (WBAN) has been presented in this paper. Like many other advantages, antennas have the benefit being able to establish reliable connection places that are frequently out reach. The operates at two popular 5G NR, FR-2 frequency bands: n257, or 28 GHz, and n260, 39 GHz. bands prominent high-speed data transactions within limited range, which is perfect WBAN applications. proposed single...
Multimodal medical image fusion is crucial for enhancing diagnostic accuracy by integrating complementary information from different imaging modalities. Current techniques face challenges in effectively combining heterogeneous features while preserving critical information. This paper presents a Temporal Decomposition Network (TDN), novel deep learning architecture that optimizes multimodal through feature-level temporal analysis and adversarial mechanisms. The TDN incorporates two key...
An efficient optoelectronic integrated device for overcoming image smearing from pixelless up-conversion is presented. This consists of a graphene layer photodetector (GLPD) with light-emitting diode (LED). The conversion images FIR to NIR devised using the GLPD-LED instrument. Hence, characteristics by imaging are primary concern. fundamental instruments resolution, contrast transfer, and converted efficiency image. Consequently, explicit solutions analysis devices investigated. These...
The output power of the fuel cell (FC) is mainly depending on membrane water content, temperature, hydrogen and oxygen partial pressures. polarization curve has one global maximum to be tracked. Therefore, a robust point tracking (MPPT) highly required follow optimal operating under any conditions. In this article, recent approach forensic-based investigation (FBI) algorithm proposed identify parameters fractional order PID-based MPPT with proton exchange (PEM) cell. FBI selected due its...
Recently, the use of drones/unmanned aerial vehicles (UAVs) has notably increased due to their broad commercial spread and low cost. The wide diffusion drones increases hazards misuse in illegitimate actions such as drug smuggling terrorism. Thus, surveillance automated detection are crucial for safeguarding restricted regions or special zones from illegal drone interventions. One most challenging issues videos is apparent similarity birds against complex backgrounds. In this work, an...
COVID19 and asthma are respiratory diseases that can be life threatening in uncontrolled circumstances require continuous monitoring. A poverty stricken South Asian country like Bangladesh has been bearing the brunt of pandemic since its beginning. The majority country's population resides rural areas, where proper healthcare is difficult to access. This emphasizes necessity telemedicine, implementing concept Internet Things (IoT), which still under development Bangladesh. paper demonstrates...
The thermal agitation plays a vital role in tunability of optoelectronic, structural and chemical characteristics the temperature sensitive materials. Graphene enables THz optics, due to its unprecedent controlling over traditional influence on monolayer graphene is very negligible low free charge carrier density, enhance sensitivity graphene, loaded material interface has been proposed. A theoretical analysis carried out dependent propagation electromagnetic surface waves supported by...
Sign language recognition, an essential interface between the hearing and deaf-mute communities, faces challenges with high false positive rates computational costs, even use of advanced deep learning techniques. Our proposed solution is a stacked encoded model, combining artificial intelligence (AI) Internet Things (IoT), which refines feature extraction classification to overcome these challenges. We leverage lightweight backbone model for preliminary autoencoders further refine features....
This paper introduces a new method for real-time high-density impulsive noise elimination applied to medical images. A double process aimed at the enhancement of local data composed Nested Filtering followed by Morphological Operation (NFMO) is proposed. The major problem with heavily noisy images lack color information around corrupted pixels. We show that classic replacement techniques all come up against this problem, resulting in average restoration quality. only focus on corrupt pixel...
Medical imaging is significant for accurate diagnosis, and here, noise often degrades image quality, thus making it challenging to identify important information. Denoising a component of traditional pre-processing that helps prevent incorrect disease diagnosis. Mitigating the becomes difficult if there are differences in low-level segment features. Therefore, Generative Adversarial Network (GAN)-aided Low-Noise Discriminator (LND) introduced improve denoising effectiveness medical images...
An interface for MEMS gyroscope is implemented in 0.18µm HVCMOS technology, and achieves a low noise floor of 1m°/sec/√Hz over 200Hz BW. Electromechanical ΣΔ force-feedback self-clocking scheme based on gyro resonance are implemented. The includes on-chip reference generation, decimation, temperature compensation.