bbabanner.jpg

Filter by

A Framework for Reporting Ergonomic Sitting Posture Anomalies

Application of ergonomics' rules has become a necessity in today's world. Due to the lack of knowledge of what these rules are and the resources needed to fund them, a lot of people develop health issues. One of the most common health issues relate to sitting in a wrong posture for extended period.In this document, a framework that can help in minimizing the existence of the sitting posture

Healthcare
Circuit Theory and Applications
Mechanical Design

Towards a Fair Evaluation of Feature Extraction Algorithms Robustness in Structure from Motion

Structure from Motion is a pipeline for 3D reconstruction in which the true geometry of an object or a scene is inferred from a sequence of 2D images. As feature extraction is usually the first phase in the pipeline, the reconstruction quality depends on the accuracy of the feature extraction algorithm. Fairly evaluating the robustness of feature extraction algorithms in the absence of

Artificial Intelligence
Circuit Theory and Applications

Cross-Layer Distributed Attack Detection Model for the IoT

The security of IoT that is based on layered approaches has shortcomings such as the redundancy, inflexibility, and inefficiently of security solutions. There are many harmful attacks in IoT networks such as DoS and DDoS attacks, which can compromise the IoT architecture in all layers. Consequently, cross layer approach is proposed as an effective and practical security defending mechanism. Cross

Artificial Intelligence
Circuit Theory and Applications
Software and Communications

Ad-hoc Networks Performance based on Routing Protocol Type

There are many situations where there is a need for certain devices to be connected in a network independently without having a heavy infrastructure or human interventions to configure and connect them. This type of network is called ad-hoc networks. The key concern with such networks is how nodes communicate with each other and exchange information efficiently and securely. The issue with ad hoc

Artificial Intelligence
Circuit Theory and Applications
Software and Communications

Ibn Sina: A patient privacy-preserving authentication protocol in medical internet of things

The prosperous advancement in Medical Internet of Things (MIoT) technologies has hastened the development of healthcare systems. MIoT improves the traditional medical facilities through periodically monitor of patient's health records. Electronic Medical Records (EMRs) are sensitive private data and needs efficient secure and private schemes that interchange these EMRs between healthcare providers

Healthcare
Circuit Theory and Applications
Software and Communications
Mechanical Design

Automated Detection and Consistency Analysis of Tajweed Recitation Rules in the Holy Quran

Precise Recitation of Holy Quran is a religious duty that must be performed with great care. Tajweed rules are constructed to guide the reader to utter the Holy Quran text as it was originally uttered by prophet Muhammad. An automatic pattern detection algorithm is implemented to allocate basic Tajweed rules. The rules addressed in this paper, are Madd, Noon Sakinah, Tanween and Meem Sakinah rules

Artificial Intelligence
Circuit Theory and Applications
Software and Communications

Automatic Early Diagnosis of Alzheimer's Disease Using 3D Deep Ensemble Approach

Alzheimer's disease (AD) is considered the 6 th leading cause of death worldwide. Early diagnosis of AD is not an easy task, and no preventive cures have been discovered yet. Having an accurate computer-aided system for the early detection of AD is important to help patients with AD. This study proposes a new approach for classifying disease stages. First, we worked on the MRI images and split

Artificial Intelligence
Healthcare
Circuit Theory and Applications
Software and Communications

Comparison of Different Deep Learning Approaches to Arabic Sarcasm Detection

Irony and Sarcasm Detection (ISD) is a crucial task for many NLP applications, especially sentiment and opinion mining. It is also considered a challenging task even for humans. Several studies have focused on employing Deep Learning (DL) approaches, including building Deep Neural Networks (DNN) to detect irony and sarcasm content. However, most of them concentrated on detecting sarcasm in English

Artificial Intelligence
Circuit Theory and Applications
Software and Communications

Study of LiDAR Segmentation and Model’s Uncertainty using Transformer for Different Pre-trainings∗

For the task of semantic segmentation of 2D or 3D inputs, Transformer architecture suffers limitation in the ability of localization because of lacking low-level details. Also for the Transformer to function well, it has to be pre-trained first. Still pre-training the Transformer is an open area of research. In this work, Transformer is integrated into the U-Net architecture as (Chen et al., 2021)

Artificial Intelligence
Circuit Theory and Applications
Software and Communications

Classification of Autism Spectrum Disorder using Convolutional Neural Networks from Neuroimaging Data

Current Autism Spectrum Disorder (ASD) diagnosis methods exhibit some limitations as they are based on clinical interviews and observations of behaviors, characteristics, and abilities. Moreover, considering the current challenges in identifying the causes and mechanisms associated with ASD, there is an essential need for automated techniques capable of providing an accurate classification between

Artificial Intelligence
Healthcare
Circuit Theory and Applications
Software and Communications