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Design for Ergonomics: Application of Single- Passenger Electric Car via Design of Experiments

Design for Ergonomics is still an important concept in new product development. Although some assessment tools could predict if a certain posture is convenient, determining the ergonomics for a new product is still challenging. In this paper, a full factorial L32 Orthogonal Array design is used in the conceptual design phase for a single- passenger electric car. Design of experiments is used to

Artificial Intelligence
Circuit Theory and Applications
Software and Communications
Mechanical Design
Innovation, Entrepreneurship and Competitiveness

Lung Segmentation Using ResUnet++ Powered by Variational Auto Encoder-Based Enhancement in Chest X-ray Images

X-ray has a huge popularity around the world. This is due to its low cost and easy to access. Most of lung diseases are diagnosed using Chest X-ray (CXR). So, developing computer aided detection (CAD) provided with automatic lung segmentation can improve the efficiency of the detection and support the physicians to make a reliable decision at early stages. But when the input image has image

Artificial Intelligence
Healthcare
Energy and Water
Circuit Theory and Applications
Software and Communications

Differentiation Between Normal and Abnormal Functional Brain Connectivity Using Non-directed Model-Based Approach

Brain Connectivity refers to networks of functional and anatomical connections found throughout the brain. Multiple neural populations are connected by intricate connectivity circuits and interact with one another to exchange information, synchronize their activity, and participate in the accomplishment of complex cognitive tasks. Issues about how various brain regions contribute to cognition and

Artificial Intelligence
Circuit Theory and Applications
Software and Communications

A Multi-scale Self-supervision Method for Improving Cell Nuclei Segmentation in Pathological Tissues

Nuclei detection and segmentation in histopathological images is a prerequisite step for quantitative analysis including morphological shape and size to help in identifying cancer prognosis. Digital pathology field aims to improve the quality of cancer diagnosis and has helped pathologists to reduce their efforts and time. Different deep learning architectures are widely used recently in Digital

Artificial Intelligence
Healthcare
Circuit Theory and Applications
Software and Communications
Agriculture and Crops

Downlink Throughput Prediction in LTE Cellular Networks Using Time Series Forecasting

Long-Term Evolution (LTE) cellular networks have transformed the mobile business, as users increasingly require various network services such as video streaming, online gaming, and video conferencing. A network planning approach is required for network services to meet user expectations and meet their needs. The User DownLink (UE DL) throughput is considered the most effective Key Performance

Artificial Intelligence
Circuit Theory and Applications
Software and Communications
Mechanical Design
Innovation, Entrepreneurship and Competitiveness

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

Harris Hawks Feature Optimization for Identifying the Informative Pathogens of Pediatric Sepsis

One of the most fatal potentially life-threatening medical condition that increases the mortality in pediatric populations is pediatric sepsis. Unfortunately, the improper control of such disease can lead to tissue damage and organ dysfunction because of the overwhelming the human body's response to an infection. Therefore, early recognition and intervention can clearly improve outcome for infants

Artificial Intelligence
Healthcare
Circuit Theory and Applications
Software and Communications

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

A CAD System for Lung Cancer Detection Using Chest X-ray: A Review

For many years, lung cancer has been ranked among the deadliest illnesses in the world. Therefore, it must be anticipated and detected at an early stage. We need to build a computer-aided diagnosis (CAD) system to help physicians to provide better treatment. In this study, the whole pipeline and the process of the CAD system for lung cancer detection in Chest X-ray are provided. It demonstrates

Artificial Intelligence
Healthcare
Circuit Theory and Applications