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Transcriptomic marker screening for evaluating the mortality rate of pediatric sepsis based on Henry gas solubility optimization

Sepsis is a potentially life-threatening medical condition that increases mortality in pediatric populations admitted in the intensive care unit (ICU). Due to the unpredictable nature of the disease course, it was challenging to find the informative genetic biomarkers at the earliest stages. Consequently, a considerable attention has been paid for the early prediction of pediatric sepsis based on

Artificial Intelligence
Healthcare
Circuit Theory and Applications

Wastewater Treatment: Recycling, Management, and Valorization of Industrial Solid Wastes

Wastewater Treatment: Recycling, Management, and Valorization of Industrial Solid Wastes bridges the gap between the theory and applications of wastewater treatments, principles of diffusion, and the mechanism of biological and industrial treatment processes. It presents the practical applications that illustrate the treatment of several types of data, providing an overview of the characterization

Artificial Intelligence
Healthcare
Energy and Water
Circuit Theory and Applications
Software and Communications
Innovation, Entrepreneurship and Competitiveness

In the Identification of Arabic Dialects: A Loss Function Ensemble Learning Based-Approach

The automation of a system to accurately identify Arabic dialects many natural language processing tasks, including sentiment analysis, medical chatbots, Arabic speech recognition, machine translation, etc., will greatly benefit because it’s useful to understand the text’s dialect before performing different tasks to it. Different Arabic-speaking nations have adopted various dialects and writing

Healthcare
Circuit Theory and Applications
Software and Communications

Pseudo Random Number Generators Employing Three Numerical Solvers of Chaotic Generators

Pseudo-Random Number Generator (PRNG) is required for various applications, especially cryptography. PRNGs are employed in symmetric-key algorithms, where a single key is used as a seed to the PRNG to generate a sequence of random numbers that are employed to encrypt and decrypt certain data. This work proposes a PRN G system that employs the time series generated from the numerical solution of

Artificial Intelligence
Circuit Theory and Applications
Software and Communications

Comparison of Parallel and Serial Execution of Shortest Path Algorithms

Shortest Path Algorithms are an important set of algorithms in today's world. It has many applications like Traffic Consultation, Route Finding, and Network Design. It is essential for these applications to be fast and efficient as they mostly require real-Time execution. Sequential execution of shortest path algorithms for large graphs with many nodes is time-consuming. On the other hand

Artificial Intelligence
Circuit Theory and Applications
Software and Communications
Mechanical Design

Evaluation of Geospatial Interpolation Techniques for Enhancing Spatiotemporal Rainfall Distribution and Filling Data Gaps in Asir Region, Saudi Arabia

Providing an accurate spatiotemporal distribution of rainfall and filling data gaps are pivotal for effective water resource management. This study focuses on the Asir region in the southwest of Saudi Arabia. Given the limited accuracy of satellite data in this arid/mountain-dominated study area, geospatial interpolation has emerged as a viable alternative approach for filling terrestrial records

Artificial Intelligence
Energy and Water
Circuit Theory and Applications
Software and Communications
Innovation, Entrepreneurship and Competitiveness

Arabic English Speech Emotion Recognition System

The Speech Emotion Recognition (SER) system is an approach to identify individuals' emotions. This is important for human-machine interface applications and for the emerging Metaverse. This work presents a bilingual Arabic-English speech emotion recognition system based on EYASE and RAVDESS datasets. A novel feature set was composed by using spectral and prosodic parameters to obtain high

Artificial Intelligence
Healthcare
Circuit Theory and Applications
Software and Communications

Using graph embeddings to improve the performance of embedding based recommender Systems

This paper discusses the use of node2vec graph embeddings to improve the performance of wide and deep recommenders by substituting the embedding layer with graph embeddings to leverage its representational power without major investments in migrating from current recommender systems. First, recommender systems importance in modern day platforms is discussed. Then, the magnitude of investment

Energy and Water
Innovation, Entrepreneurship and Competitiveness

Emotion Recognition System for Arabic Speech: Case Study Egyptian Accent

Speech Emotion Recognition (SER) systems are widely regarded as essential human-computer interface applications. Extracting emotional content from voice signals enhances the communication between humans and machines. Despite the rapid advancement of Speech Emotion Recognition systems for several languages, there is still a gap in SER research for the Arabic language. The goal of this research is

Artificial Intelligence
Circuit Theory and Applications
Software and Communications

A hybrid deep learning approach for COVID-19 detection based on genomic image processing techniques

The coronavirus disease 2019 (COVID-19) pandemic has been spreading quickly, threatening the public health system. Consequently, positive COVID-19 cases must be rapidly detected and treated. Automatic detection systems are essential for controlling the COVID-19 pandemic. Molecular techniques and medical imaging scans are among the most effective approaches for detecting COVID-19. Although these

Artificial Intelligence
Healthcare
Circuit Theory and Applications
Software and Communications