A5084826141- Wireless Signal Modulation Classification
- IoT and Edge/Fog Computing
- Wireless Communication Security Techniques
- Advanced Wireless Communication Technologies
- Software-Defined Networks and 5G
- Service-Oriented Architecture and Web Services
- Industrial Vision Systems and Defect Detection
- Advanced MIMO Systems Optimization
- Heart Rate Variability and Autonomic Control
- Solar Radiation and Photovoltaics
- Mental Health Research Topics
- Cooperative Communication and Network Coding
- Optical Wireless Communication Technologies
- Brain Tumor Detection and Classification
- Scheduling and Optimization Algorithms
- Advanced Authentication Protocols Security
- Sparse and Compressive Sensing Techniques
- Underwater Vehicles and Communication Systems
- Satellite Communication Systems
- UAV Applications and Optimization
- Mobile Ad Hoc Networks
- Vehicular Ad Hoc Networks (VANETs)
- Solar Thermal and Photovoltaic Systems
- Elevator Systems and Control
- Advanced biosensing and bioanalysis techniques
Imam Mohammad ibn Saud Islamic University
2023-2025
Vellore Institute of Technology University
2023
University of Manchester
2021-2022
Accurate parameter estimation is crucial and challenging for the design modeling of PV cells/modules. However, high degree non-linearity typical I–V characteristic further complicates this task. Consequently, significant research interest has been generated in recent years. Currently, trend marked by a noteworthy acceleration, mainly due to rise swarm intelligence rapid progress computer technology. This paper proposes developed Mountain Gazelle Optimizer (MGO) generate best values unknown...
Recent developments in the fields of communications, smart transportation systems and computer have significantly expanded potential for intelligent solutions domains traffic safety, convenience efficiency. The utilization Artificial Intelligence (AI) is presently prevalent across diverse sectors application due to its significant capacity augment conventional data-driven methodologies. In domain Vehicular Ad hoc NETworks (VANETs), data regularly gathered from several sources. collected...
Wireless-powered Mobile Edge Computing (MEC) has been proving to be an auspicious paradigm enhance the data processing competency of low-powered networks in light increasing need for diagnostic information retrieval. Applications dividing a given load into smaller units and then executing each unit independently by different processors are class tasks that require pressing parallel distributed processing. However, it is challenging decide whether will offloaded edges cloud or through concept...
An intense level of academic pressure causes students to experience stress, and if this stress is not addressed, it can cause adverse mental physical effects. Since the pandemic situation, have received more assignments other tasks due shift classes an online mode. Students may realize that they are stressed, but be evident from factors, including sleep deprivation changes in eating habits. In context, paper presents a novel ensemble learning approach proposes architecture for...
Powered by deep learning (DL), autoencoders (AE) end-to-end (E2E) communication systems have been developed to merge all physical layer blocks in traditional and achieved great success. In this paper, a new probabilistic model, based on the variational (VAE), is proposed for short packet wireless systems. Using approach, information messages are represented so called hot vectors (PHV) which inferred VAE latent random variables (LRVs). Then only LRVs' parameters can be transmitted through...
Deep learning (DL) is playing an increasingly important role in the design of next-generation communication systems. In this paper, we apply DL algorithms to enhance signal detection and performance multiple-input-multiple-output (MIMO) based orthogonal frequency-division multiplexing (OFDM) systems with index modulation (IM). The proposed detector termed DLIM used as fully connected layers a deep neural network (DNN) adopted achieve minimum bit error rates IM-MIMO-OFDM over Rayleigh...
In this paper, we are re-modelling the intelligent reflecting surfaces (IRS) assisted communication systems using auto-encoder (AE) deep learning (DL) technique to represent classical IRS system as an end-to-end system. The cascaded channels from source sink through have been transformed a neural network (DNN) that learns how reduce wireless environment impairments effect by optimizing representation of transmitted symbols. proposed design shows superior symbol error rate (SER) performance...
In this paper, a new approach has been proposed and investigated with the help of variational auto-encoder (VAE) as probabilistic model to reconstruct transmitted symbol without sending data bits out transmitter. The novelty End-to-end (E2E) wireless system is in representing image hot vector (IHV) that contains features shape such spikes, closed squared frame, pixels index location grey-scale colours. previously mentioned are inferred by latent random variables (LRVs). LRVs used for...