M. Saeed Darweesh
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View article: Predicting the availability of power line communication nodes using semi-supervised learning algorithms
Predicting the availability of power line communication nodes using semi-supervised learning algorithms Open
Power Line Communication (PLC) facilitates the usage of power cables to transmit data. The issue is that sending data to unavailable nodes is time-consuming. Machine Learning has solved this by predicting a node having optimum readings. Th…
View article: All dielectric chiral metasurface for wideband asymmetric transmission of linearly polarized waves
All dielectric chiral metasurface for wideband asymmetric transmission of linearly polarized waves Open
Metasurfaces are two-dimensional (2D), or quasi 2D structures that offer precise manipulation of electromagnetic waves in terms of their amplitudes, phases, and polarization. All-Dielectric Metasurfaces (ADMs) allow for high electromagneti…
View article: Federated learning system on autonomous vehicles for lane segmentation
Federated learning system on autonomous vehicles for lane segmentation Open
Autonomous Vehicles (AV) is one of the most evolving industries in the last decade. However, one of the bottlenecks of this evolution is providing data that contains different scenarios and scenes to improve the models without exposing the…
View article: Enhancing Network Threat Detection with Random Forest-Based NIDS and Permutation Feature Importance
Enhancing Network Threat Detection with Random Forest-Based NIDS and Permutation Feature Importance Open
Network Intrusion Detection Systems (NIDS) are critical for protecting computer networks from unauthorized activities. Traditional NIDS rely on rule-based signatures, which can be limiting in detecting emerging threats. This study investig…
View article: Random Forest-Based NIDS: Advancing Network Threat Detection
Random Forest-Based NIDS: Advancing Network Threat Detection Open
Network Intrusion Detection Systems (NIDS) are critical for protecting computer networks from unauthorized activities. Traditional NIDS rely on rule-based signatures, which can be limiting in detecting emerging threats. This study investig…
View article: Wearable devices for glucose monitoring: A review of state-of-the-art technologies and emerging trends
Wearable devices for glucose monitoring: A review of state-of-the-art technologies and emerging trends Open
Diabetes is a chronic condition that is characterized by high blood glucose levels and can cause damage to multiple organs over time. Continuous monitoring of glucose levels is essential for both diabetic and non-diabetic individuals. Ther…
View article: A novel data augmentation approach for ego-lane detection enhancement
A novel data augmentation approach for ego-lane detection enhancement Open
Utilizing vast annotated datasets for supervised training of deep learning models is an absolute necessity. The focus of this paper is to demonstrate a supervisory training technique using perspective transformation-based data augmentation…
View article: Energy management for wearable medical devices based on gaining–sharing knowledge algorithm
Energy management for wearable medical devices based on gaining–sharing knowledge algorithm Open
Wearable devices are a growing field of research that can have a wide range of applications. The energy harvester is the most common source of power for wearable devices as well as in wireless sensor networks that require a battery-free op…
View article: Design and FPGA-Based Hardware Implementation of NB-IoT Physical Uplink Shared Channel Transmitter and Physical Downlink Shared Channel Receiver
Design and FPGA-Based Hardware Implementation of NB-IoT Physical Uplink Shared Channel Transmitter and Physical Downlink Shared Channel Receiver Open
With the anticipated growth of the internet of things (IoT) market, many low-power wide-area (LPWA) technologies have been introduced to connect a wide range of IoT devices with varying performance requirements. The narrowband internet of …
View article: A power-aware task scheduler for energy harvesting-based wearable biomedical systems using snake optimizer
A power-aware task scheduler for energy harvesting-based wearable biomedical systems using snake optimizer Open
There is an increasing interest in energy harvesting for wearable biomedical devices. This requires power conservation and management to ensure long-term and steady operation. Hence, task scheduling algorithms will be used throughout this …
View article: UAV-Aided Data Acquisition Using Gaining-Sharing Knowledge Optimization Algorithm
UAV-Aided Data Acquisition Using Gaining-Sharing Knowledge Optimization Algorithm Open
Unmanned Aerial Vehicles (UAVs) provide a reliable and energy-efficient solution for data collection from the Narrowband Internet of Things (NB-IoT) devices. However, the UAV’s deployment optimization, including locations of the UAV’s stop…
View article: Early breast cancer diagnostics based on hierarchical machine learning classification for mammography images
Early breast cancer diagnostics based on hierarchical machine learning classification for mammography images Open
Breast cancer constitutes a significant threat to women’s health and is considered the second leading cause of their death. Breast cancer is a result of abnormal behavior in the functionality of the normal breast cells. Therefore, breast c…
View article: A Deep Learning-Based Benchmarking Framework for Lane Segmentation in the Complex and Dynamic Road Scenes
A Deep Learning-Based Benchmarking Framework for Lane Segmentation in the Complex and Dynamic Road Scenes Open
Automatic lane detection is a classical task in autonomous vehicles that traditional computer vision techniques can perform. However, such techniques lack reliability for achieving high accuracy while maintaining adequate time complexity i…
View article: Resource Allocation and Interference Management Techniques for OFDM-Based VLC Atto-Cells
Resource Allocation and Interference Management Techniques for OFDM-Based VLC Atto-Cells Open
In this paper, a resource partitioning scheme combined with a new multi-carrier optical modulation technique for indoor visible light communication (VLC) system is proposed. In VLC systems, the coverage area is divided into multiple atto-c…
View article: Dynamic Traffic Model With Optimal Gateways Placement in IP Cloud Heterogeneous CRAN
Dynamic Traffic Model With Optimal Gateways Placement in IP Cloud Heterogeneous CRAN Open
In this paper, topology design, optimal routing, and gateways placement selection algorithms are proposed in Heterogeneous Cloud Radio Access Network (C-RAN) with exploiting Free Space Optical (FSO) communication. The proposed network cons…
View article: Hybrid Compression Techniques for EEG Data Based on Lossy/Lossless Compression Algorithms
Hybrid Compression Techniques for EEG Data Based on Lossy/Lossless Compression Algorithms Open
The recorded Electroencephalography (EEG) data comes with a large size due to the high sampling rate. Therefore, large space and more bandwidth are required for storing and transmitting the EEG data. Thus, preprocessing and compressing the…