Radwa Ahmed Osman
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View article: Explainable AI-Driven 1D-CNN with Efficient Wireless Communication System Integration for Multimodal Diabetes Prediction
Explainable AI-Driven 1D-CNN with Efficient Wireless Communication System Integration for Multimodal Diabetes Prediction Open
The early detection of diabetes risk and effective management of patient data are critical for avoiding serious consequences and improving treatment success. This research describes a two-part architecture that combines an energy-efficient…
View article: A deep learning approach to gender equality: Forecasting educational indicators with 1D-CNN aligned with SDG 5
A deep learning approach to gender equality: Forecasting educational indicators with 1D-CNN aligned with SDG 5 Open
Sustainable development goal (SDG) 5 focuses on gender equality and empowerment and it is considered as one of the most important SDGs. Therefore, this article presented a time series prediction model that predicts gender-related education…
View article: 1D-CNN-Based Performance Prediction in IRS-Enabled IoT Networks for 6G Autonomous Vehicle Applications
1D-CNN-Based Performance Prediction in IRS-Enabled IoT Networks for 6G Autonomous Vehicle Applications Open
To foster the performance of wireless communication while saving energy, the integration of Intelligent Reflecting Surfaces (IRS) into autonomous vehicle (AV) communication networks is considered a powerful technique. This paper proposes a…
View article: Energy-efficient communication between IoMT devices and emergency vehicles for improved patient care
Energy-efficient communication between IoMT devices and emergency vehicles for improved patient care Open
The rising integration of emergency healthcare services with the Internet of Medical Things (IoMT) creates a significant opportunity to improve real-time communication between patients and emergency vehicles like ambulances. Fast and relia…
View article: Applying 1D convolutional neural networks to advance food security in support of SDG 2
Applying 1D convolutional neural networks to advance food security in support of SDG 2 Open
Purpose The goal of this study is to predict how well five countries the US, Saudi Arabia, China, Egypt, and Sweden will do in terms of Sustainable Development Goal 2 (SDG 2), particularly the hunger index scores, between 2025 and 2030. Me…
View article: Using artificial intelligence tools to predict and alleviate poverty
Using artificial intelligence tools to predict and alleviate poverty Open
This paper presents a thorough time series forecasting model intended to project future performance with respect to Sustainable Development Goal 1 (SDG 1) and the corresponding poverty index scores for the years 2024–2030, with a particula…
View article: TMS: Ensemble Deep Learning Model for Accurate Classification of Monkeypox Lesions Based on Transformer Models with SVM
TMS: Ensemble Deep Learning Model for Accurate Classification of Monkeypox Lesions Based on Transformer Models with SVM Open
Background/Objectives:The emergence of monkeypox outside its endemic region in Africa has raised significant concerns within the public health community due to its rapid global dissemination. Early clinical differentiation of monkeypox fro…
View article: Towards efficient IoT communication for smart agriculture: A deep learning framework
Towards efficient IoT communication for smart agriculture: A deep learning framework Open
The integration of IoT (Internet of Things) devices has emerged as a technical cornerstone in the landscape of modern agriculture, revolutionising the way farming practises are viewed and managed. Smart farming, enabled by interconnected s…
View article: An Explainable Deep Learning-Enhanced IoMT Model for Effective Monitoring and Reduction of Maternal Mortality Risks
An Explainable Deep Learning-Enhanced IoMT Model for Effective Monitoring and Reduction of Maternal Mortality Risks Open
Maternal mortality (MM) is considered one of the major worldwide concerns. Despite the advances of artificial intelligence (AI) in healthcare, the lack of transparency in AI models leads to reluctance to adopt them. Employing explainable a…
View article: Navigating urban congestion: A Comprehensive strategy based on an efficient smart IoT wireless communication for PV powered smart traffic management system
Navigating urban congestion: A Comprehensive strategy based on an efficient smart IoT wireless communication for PV powered smart traffic management system Open
Egypt faces extreme traffic congestion in its cities, which results in long travel times, large lines of parked cars, and increased safety hazards. Our study suggests a multi-modal approach that combines critical infrastructure improvement…
View article: Efficient Connectivity in Smart Homes: Enhancing Living Comfort through IoT Infrastructure
Efficient Connectivity in Smart Homes: Enhancing Living Comfort through IoT Infrastructure Open
Modern homes are experiencing unprecedented levels of convenience because of the proliferation of smart devices. In order to improve communication between smart home devices, this paper presents a novel approach that particularly addresses…
View article: Optimizing Autonomous Vehicle Communication through an Adaptive Vehicle-to-Everything (AV2X) Model: A Distributed Deep Learning Approach
Optimizing Autonomous Vehicle Communication through an Adaptive Vehicle-to-Everything (AV2X) Model: A Distributed Deep Learning Approach Open
Autonomous intelligent transportation systems consistently require effective and secure communication through vehicular networks, enabling autonomous vehicle communication. The reduction of traffic congestion, the alerting of approaching e…
View article: Enhanced DV-Hop using shuffled shepherd algorithm for localizing sensor nodes in 3-D space
Enhanced DV-Hop using shuffled shepherd algorithm for localizing sensor nodes in 3-D space Open
For many wireless sensor networks applications, a powerful localization algorithm is required to determine the exact positions of sensor nodes. In this paper, a new localization algorithm is presented which combines the distance vector hop…
View article: Deep Learning-Based Early Diabetes Risk Prediction Using Survey Data: A Hyperparameter Optimization Approach
Deep Learning-Based Early Diabetes Risk Prediction Using Survey Data: A Hyperparameter Optimization Approach Open
View article: A Reliable and Efficient Tracking System Based on Deep Learning for Monitoring the Spread of COVID-19 in Closed Areas
A Reliable and Efficient Tracking System Based on Deep Learning for Monitoring the Spread of COVID-19 in Closed Areas Open
Since 2020, the world is still facing a global economic and health crisis due to the COVID-19 pandemic. One approach to fighting this global crisis is to track COVID-19 cases by wireless technologies, which requires receiving reliable, eff…
View article: Enhancing the Reliability of Communication between Vehicle and Everything (V2X) Based on Deep Learning for Providing Efficient Road Traffic Information
Enhancing the Reliability of Communication between Vehicle and Everything (V2X) Based on Deep Learning for Providing Efficient Road Traffic Information Open
Developing efficient communication between vehicles and everything (V2X) is a challenging task, mainly due to the characteristics of vehicular networks, which include rapid topology changes, large-scale sizes, and frequent link disconnecti…
View article: A Novel Interference Avoidance Based on a Distributed Deep Learning Model for 5G-Enabled IoT
A Novel Interference Avoidance Based on a Distributed Deep Learning Model for 5G-Enabled IoT Open
The co-existence of fifth-generation (5G) and Internet-of-Things (IoT) has become inevitable in many applications since 5G networks have created steadier connections and operate more reliably, which is extremely important for IoT communica…
View article: A Novel Adaptive Approach for Autonomous Vehicle Based on Optimization Technique for Enhancing the Communication between Autonomous Vehicle-to-Everything through Cooperative Communication
A Novel Adaptive Approach for Autonomous Vehicle Based on Optimization Technique for Enhancing the Communication between Autonomous Vehicle-to-Everything through Cooperative Communication Open
Recent autonomous intelligent transportation systems commonly adopt vehicular communication. Efficient communication between autonomous vehicles-to-everything (AV2X) is mandatory to ensure road safety by decreasing traffic jamming, approac…
View article: Novel Road Traffic Management Strategy for Rapid Clarification of the Emergency Vehicle Route Based on V2V Communications
Novel Road Traffic Management Strategy for Rapid Clarification of the Emergency Vehicle Route Based on V2V Communications Open
Vehicle-to-vehicle communication is a promising paradigm that enables all vehicles in the traffic road to communicate with each other to enhance traffic performance and increase road safety. Through vehicle-to-vehicle (V2V) communication, …
View article: Energy-Efficient and Reliable Internet of Things for 5G: A Framework for Interference Control
Energy-Efficient and Reliable Internet of Things for 5G: A Framework for Interference Control Open
The Internet of Things (IoT) is one of the promising paradigms that enable massive machines and devices to communicate with each other in future communication networks to promote a high level of awareness about our world and improve our da…
View article: Quality of service optimisation of device‐to‐device communications underlaying cellular networks
Quality of service optimisation of device‐to‐device communications underlaying cellular networks Open
Device‐to‐device (D2D) communications play a significant role in increasing the capacity of cellular networks. D2D enables direct interaction between mobile users without traversing the base station (BS) and at the same time causes interfe…