Mohammad Derawi
YOU?
Author Swipe
View article: SVNC-Net: An optimized U-Net variant with 2D convolutions for lightweight 3D spleen segmentation
SVNC-Net: An optimized U-Net variant with 2D convolutions for lightweight 3D spleen segmentation Open
Accurate measurement of spleen volume is essential for the diagnosis of splenomegaly. While Computed Tomography (CT) is among the most reliable imaging modalities for this task, manual segmentation of the spleen is labor-intensive and impr…
View article: On the Design of a Manufacturable Radome for Monostatic RCS Reduction for Airborne Platforms: Practical Implications of Frequency-Selective Surfaces
On the Design of a Manufacturable Radome for Monostatic RCS Reduction for Airborne Platforms: Practical Implications of Frequency-Selective Surfaces Open
Reducing the radar cross section (RCS) of airborne platforms is essential for stealth and survivability in modern defense systems. Frequency-selective surfaces (FSSs) offer band-specific transmission and reflection characteristics. Thus, t…
View article: Comparative Analysis of AI Models for Python Code Generation: A HumanEval Benchmark Study
Comparative Analysis of AI Models for Python Code Generation: A HumanEval Benchmark Study Open
This study conducts a comprehensive comparative analysis of six contemporary artificial intelligence models for Python code generation using the HumanEval benchmark. The evaluated models include GPT-3.5 Turbo, GPT-4 Omni, Claude 3.5 Sonnet…
View article: Future-Ready Skills Across Big Data Ecosystems: Insights from Machine Learning-Driven Human Resource Analytics
Future-Ready Skills Across Big Data Ecosystems: Insights from Machine Learning-Driven Human Resource Analytics Open
This study aims to analyze online job postings using machine learning-based, semantic approaches and to identify the expertise roles and competencies required for big data professions. The methodology of this study employs latent Dirichlet…
View article: Cache Contention Aware Virtual Machine Placement and Mitigation Using Adaptive ABC Algorithm
Cache Contention Aware Virtual Machine Placement and Mitigation Using Adaptive ABC Algorithm Open
Cache contention in cloud computing can degrade system performance and lead to security vulnerabilities like side-channel attacks. Virtual Machine (VM) migration is a practical solution to mitigate cache contention by relocating affected V…
View article: Design and Empirical Validation of a Low-Cost Outdoor mmWave Altimetry Test Bench for UAS
Design and Empirical Validation of a Low-Cost Outdoor mmWave Altimetry Test Bench for UAS Open
The increasing adoption of unmanned aerial systems (UAS) in diverse urban applications necessitates reliable and precise altimetry solutions for situational awareness and landing safety. Despite significant advancements in the realm of wav…
View article: Performance Improvement of Energy Criterion Method Based on the Instantaneous Phase Characteristics in Wi-Fi Transient Detection for RF Fingerprinting
Performance Improvement of Energy Criterion Method Based on the Instantaneous Phase Characteristics in Wi-Fi Transient Detection for RF Fingerprinting Open
Transient detection is recognized as a crucial component in Radio Frequency Fingerprinting (RFF) systems, particularly in transient-based approaches. Many existing algorithms rely on prior knowledge of signal behavior, which constrains the…
View article: A novel diagnostic framework for breast cancer: Combining deep learning with mammogram-DBT feature fusion
A novel diagnostic framework for breast cancer: Combining deep learning with mammogram-DBT feature fusion Open
Background and motivation: Breast cancer detection remains a critical challenge in medical imaging due to the complexity of tumor features and variability in breast tissue. Conventional mammography struggles with dense tissues, leading to …
View article: Real-Time Radar Classification Based on Software-Defined Radio Platforms: Enhancing Processing Speed and Accuracy with Graphics Processing Unit Acceleration
Real-Time Radar Classification Based on Software-Defined Radio Platforms: Enhancing Processing Speed and Accuracy with Graphics Processing Unit Acceleration Open
This paper presents a comprehensive evaluation of real-time radar classification using software-defined radio (SDR) platforms. The transition from analog to digital technologies, facilitated by SDR, has revolutionized radio systems, offeri…
View article: Advancing mmWave Altimetry for Unmanned Aerial Systems: A Signal Processing Framework for Optimized Waveform Design
Advancing mmWave Altimetry for Unmanned Aerial Systems: A Signal Processing Framework for Optimized Waveform Design Open
This research advances millimeter-wave (mmWave) altimetry for unmanned aerial systems (UASs) by optimizing performance metrics within the constraints of inexpensive automotive radars. Leveraging the software-defined architecture, this stud…
View article: The Fast and Reliable Detection of Multiple Narrowband FH Signals: A Practical Framework
The Fast and Reliable Detection of Multiple Narrowband FH Signals: A Practical Framework Open
Frequency hopping (FH) is a well-known technique that is commonly used in communication systems owing to its many advantages, including its strong anti-jamming capability. In this technique, basically, radio signals are transmitted by swit…
View article: A Radio Frequency Fingerprinting-Based Aircraft Identification Method Using ADS-B Transmissions
A Radio Frequency Fingerprinting-Based Aircraft Identification Method Using ADS-B Transmissions Open
The automatic dependent surveillance broadcast (ADS-B) system is one of the key components of the next generation air transportation system (NextGen). ADS-B messages are transmitted in unencrypted plain text. This, however, causes signific…
View article: Towards mmWave Altimetry for UAS: Exploring the Potential of 77 GHz Automotive Radars
Towards mmWave Altimetry for UAS: Exploring the Potential of 77 GHz Automotive Radars Open
Precise altitude data are indispensable for flight navigation, particularly during the autonomous landing of unmanned aerial systems (UASs). Conventional light and barometric sensors employed for altitude estimation are limited by poor vis…
View article: A Simplified Method Based on RSSI Fingerprinting for IoT Device Localization in Smart Cities
A Simplified Method Based on RSSI Fingerprinting for IoT Device Localization in Smart Cities Open
The Internet of Things (IoT) has significantly improved location-based services in smart cities, such as automated public transportation and traffic management. Estimating the location of connected devices is a critical problem. Low Power …
View article: Convolutional Neural Network-Based Vehicle Classification in Low-Quality Imaging Conditions for Internet of Things Devices
Convolutional Neural Network-Based Vehicle Classification in Low-Quality Imaging Conditions for Internet of Things Devices Open
Vehicle classification has an important role in the efficient implementation of Internet of Things (IoT)-based intelligent transportation system (ITS) applications. Nowadays, because of their higher performance, convolutional neural networ…
View article: A Dataset Containing Tiny Vehicle Images Collected in Low Quality Imaging Conditions
A Dataset Containing Tiny Vehicle Images Collected in Low Quality Imaging Conditions Open
This dataset contains 4800 tiny and low resolution vehicle images collected in low lighting and different weather conditions. The vehicles in the images are grouped in six classes: Bike, Car, Juggernaut, Minibus, Pickup, and Truck. For eac…
View article: A Dataset Containing Tiny Vehicle Images Collected in Low Quality Imaging Conditions
A Dataset Containing Tiny Vehicle Images Collected in Low Quality Imaging Conditions Open
This dataset contains 4800 tiny and low resolution vehicle images collected in low lighting and different weather conditions. The vehicles in the images are grouped in six classes: Bike, Car, Juggernaut, Minibus, Pickup, and Truck. For eac…
View article: Business Intelligence Strategies, Best Practices, and Latest Trends: Analysis of Scientometric Data from 2003 to 2023 Using Machine Learning
Business Intelligence Strategies, Best Practices, and Latest Trends: Analysis of Scientometric Data from 2003 to 2023 Using Machine Learning Open
The widespread use of business intelligence products, services, and applications piques the interest of researchers in this field. The interest of researchers in business intelligence increases the number of studies significantly. Identify…
View article: Digital Transformation Strategies, Practices, and Trends: A Large-Scale Retrospective Study Based on Machine Learning
Digital Transformation Strategies, Practices, and Trends: A Large-Scale Retrospective Study Based on Machine Learning Open
The purpose of this research is to identify the areas of interest, research topics, and application areas that reflect the research nature of digital transformation (DT), as well as the strategies, practices, and trends of DT. To accomplis…
View article: Mobile Application Software Requirements Specification from Consumption Values
Mobile Application Software Requirements Specification from Consumption Values Open
In today’s society, mobile applications are becoming more popular and providing several advantages. However, users will resist using a product regardless of how well-tested or solid it is if the wrong requirements are implemented. Understa…
View article: LPWAN Cyber Security Risk Analysis: Building a Secure IQRF Solution
LPWAN Cyber Security Risk Analysis: Building a Secure IQRF Solution Open
Low-power wide area network (LPWAN) technologies such as IQRF are becoming increasingly popular for a variety of Internet of Things (IoT) applications, including smart cities, industrial control, and home automation. However, LPWANs are vu…
View article: H∞ Control for Oscillator Systems With Event-Triggering Signal Transmission of Internet of Things
H∞ Control for Oscillator Systems With Event-Triggering Signal Transmission of Internet of Things Open
This article proposes to design a distributed optimal control algorithm for Van der Pol oscillators with unknown internal dynamics, input constraints and external disturbances, via event-triggering signal transmission of the Internet of T…
View article: Prediction of Student’s Performance With Learning Coefficients Using Regression Based Machine Learning Models
Prediction of Student’s Performance With Learning Coefficients Using Regression Based Machine Learning Models Open
Advanced machine learning (ML) methods can predict student’s performance with key features based on academic, behavioral, and demographic data. Significant works have predicted the student’s performance based on the primary and secondary d…
View article: Indoor Propagation Analysis of IQRF Technology for Smart Building Applications
Indoor Propagation Analysis of IQRF Technology for Smart Building Applications Open
Owing to its efficiency in the Internet of Things (IoT) applications in terms of low-power connectivity, IQRF (Intelligent Connectivity using Radio Frequency) technology appears to be one of the most reasonable IoT technologies in the comm…
View article: Career in Cloud Computing: Exploratory Analysis of In-Demand Competency Areas and Skill Sets
Career in Cloud Computing: Exploratory Analysis of In-Demand Competency Areas and Skill Sets Open
This study aims to investigate up-to-date career opportunities and in-demand competence areas and skill sets for cloud computing (CC), which plays a crucial role in the rapidly developing teleworking environments with the COVID-19 pandemic…
View article: Propagation Measurements for IQRF Network in an Urban Environment
Propagation Measurements for IQRF Network in an Urban Environment Open
Recently, IQRF has emerged as a promising technology for the Internet of Things (IoT), owing to its ability to support short- and medium-range low-power communications. However, real world deployment of IQRF-based wireless sensor networks …
View article: Deep Learning-Based Vehicle Classification for Low Quality Images
Deep Learning-Based Vehicle Classification for Low Quality Images Open
This study proposes a simple convolutional neural network (CNN)-based model for vehicle classification in low resolution surveillance images collected by a standard security camera installed distant from a traffic scene. In order to evalua…
View article: A Dataset Containing Tiny and Low Quality Images for Vehicle Classification
A Dataset Containing Tiny and Low Quality Images for Vehicle Classification Open
This dataset contains 4800 tiny and low resolution vehicle images. The vehicles in the images are grouped in six classes: Bike, Car, Juggernaut, Minibus, Pickup, and Truck. For each class, there are 800 vehicle images with 100 × 100 pixels…
View article: A Dataset Containing Tiny and Low Quality Images for Vehicle Classification
A Dataset Containing Tiny and Low Quality Images for Vehicle Classification Open
This dataset contains 4800 tiny and low resolution vehicle images. The vehicles in the images are grouped in six classes: Bike, Car, Juggernaut, Minibus, Pickup, and Truck. For each class, there are 800 vehicle images with 100 × 100 pixels…