Kaleem Arshid
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View article: Toward Autonomous UAV Swarm Navigation: A Review of Trajectory Design Paradigms
Toward Autonomous UAV Swarm Navigation: A Review of Trajectory Design Paradigms Open
The development of efficient and reliable trajectory-planning strategies for swarms of unmanned aerial vehicles (UAVs) is an increasingly important area of research, with applications in surveillance, search and rescue, smart agriculture, …
View article: A Multi-Ray Channel Modelling Approach to Enhance UAV Communications in Networked Airspace
A Multi-Ray Channel Modelling Approach to Enhance UAV Communications in Networked Airspace Open
In recent years, the use of unmanned aerial vehicles (UAVs), commonly known as drones, has significantly surged across civil, military, and commercial sectors. Ensuring reliable and efficient communication between UAVs and between UAVs and…
View article: Artificial Intelligence-Driven Cybersecurity Framework Using Machine Learning for Advanced Threat Detection and Prevention
Artificial Intelligence-Driven Cybersecurity Framework Using Machine Learning for Advanced Threat Detection and Prevention Open
The escalating complexity, frequency, and diversity of cyber threats in today's hyper-connected digital landscape have rendered traditional security frameworks insufficient. In response, this research introduces a comprehensive, Al-driven …
View article: UAV Swarm Trajectory Design for Wireless Networks Using Genetic Algorithm-Driven Repulsion Forces
UAV Swarm Trajectory Design for Wireless Networks Using Genetic Algorithm-Driven Repulsion Forces Open
Uncrewed Aerial Vehicle (UAV) swarms are increasingly recognized for their versatility and affordability. These swarms have enhanced various applications, including agriculture, surveillance, delivery services, and monitoring. However, ful…
View article: AINS: Affordable Indoor Navigation Solution via Line Color Identification Using Mono-Camera for Autonomous Vehicles
AINS: Affordable Indoor Navigation Solution via Line Color Identification Using Mono-Camera for Autonomous Vehicles Open
Recently, researchers have been exploring various ways to improve the effectiveness and efficiency of autonomous vehicles by researching new methods, especially for indoor scenarios. Autonomous Vehicles in indoor navigation systems possess…
View article: A Multi-Ray Channel Modelling Approach to Enhance Uav Communications in Networked Airspace
A Multi-Ray Channel Modelling Approach to Enhance Uav Communications in Networked Airspace Open
View article: Analysis of Birth Data using Ensemble Modeling Techniques
Analysis of Birth Data using Ensemble Modeling Techniques Open
Machine learning and data mining are being used in different fields like data analysis, prediction, image processing, etc., and particularly in healthcare. Over the past decade, several types of research have been carried out focusing on m…
View article: A New Strategy for Dynamic Channel Allocation in CR-WMN Based on RCA
A New Strategy for Dynamic Channel Allocation in CR-WMN Based on RCA Open
Channel assignment has emerged as an essential study subject in Cognitive Radio-based Wireless Mesh Networks (CR-WMN).In an era of alarming increase in Multi-Radio Multi-Channel (MRMC) network expansion interference is decreased and networ…
View article: GAN-TL: Generative Adversarial Networks with Transfer Learning for MRI Reconstruction
GAN-TL: Generative Adversarial Networks with Transfer Learning for MRI Reconstruction Open
Generative adversarial networks (GAN), which are fueled by deep learning, are an efficient technique for image reconstruction using under-sampled MR data. In most cases, the performance of a particular model’s reconstruction must be improv…
View article: Energy efficiency in cognitive radio network using cooperative spectrum sensing based on hybrid spectrum handoff
Energy efficiency in cognitive radio network using cooperative spectrum sensing based on hybrid spectrum handoff Open
Rapid spectrum usage in wireless networks may reduce energy efficiency, requiring cognitive radio networks to be more efficient than conventional ones. Due to increased data transmission demand, cognitive radio networks arose from a lack o…
View article: Deep Learning-Based Image Reconstruction for Different Medical Imaging Modalities
Deep Learning-Based Image Reconstruction for Different Medical Imaging Modalities Open
Image reconstruction in magnetic resonance imaging (MRI) and computed tomography (CT) is a mathematical process that generates images at many different angles around the patient. Image reconstruction has a fundamental impact on image quali…
View article: Correction to: Survey: smartphone-based assessment of cardiovascular diseases using ECG and PPG analysis
Correction to: Survey: smartphone-based assessment of cardiovascular diseases using ECG and PPG analysis Open
An amendment to this paper has been published and can be accessed via the original article.
View article: Survey: smartphone-based assessment of cardiovascular diseases using ECG and PPG analysis
Survey: smartphone-based assessment of cardiovascular diseases using ECG and PPG analysis Open
View article: State-of-the-Art CNN Optimizer for Brain Tumor Segmentation in Magnetic Resonance Images
State-of-the-Art CNN Optimizer for Brain Tumor Segmentation in Magnetic Resonance Images Open
Brain tumors have become a leading cause of death around the globe. The main reason for this epidemic is the difficulty conducting a timely diagnosis of the tumor. Fortunately, magnetic resonance images (MRI) are utilized to diagnose tumor…
View article: Primary User Traffic Pattern Based Opportunistic Spectrum Handoff in Cognitive Radio Networks
Primary User Traffic Pattern Based Opportunistic Spectrum Handoff in Cognitive Radio Networks Open
Through the expeditious expansion of the wireless network, the unlicensed bandwidth-based devices are growing substantially as compared to the present vacant bandwidth. Cognitive radio networks present a proficient solution to the spectrum…
View article: Big Data of Home Energy Management in Cloud Computing
Big Data of Home Energy Management in Cloud Computing Open
A smart grid is the evolved form of the power grid with the integration of sensing, communication, computing, monitoring, and control technologies. These technologies make the power grid reliable, efficient, and economica... | Find, read a…