A5039945233- Speech Recognition and Synthesis
- Speech and dialogue systems
- Natural Language Processing Techniques
- Speech and Audio Processing
- Music and Audio Processing
- Complex Network Analysis Techniques
- Blockchain Technology Applications and Security
- Video Analysis and Summarization
- Erythrocyte Function and Pathophysiology
- Signaling Pathways in Disease
- Web visibility and informetrics
- Advanced Text Analysis Techniques
- Neonatal Health and Biochemistry
- Artificial Intelligence in Healthcare
- Peer-to-Peer Network Technologies
- Cardiac Fibrosis and Remodeling
- Digital Imaging for Blood Diseases
- Retinal Imaging and Analysis
- Blood groups and transfusion
- Clinical Laboratory Practices and Quality Control
- Topic Modeling
- IoT and Edge/Fog Computing
- Cardiovascular Function and Risk Factors
- Advanced Steganography and Watermarking Techniques
King Fahd Armed Forces Hospital
2024
Umm al-Qura University
2016-2022
University of Sheffield
2011-2016
King Saud University
2015
Abstract: Simvastatin (SIM) is a lipid-soluble inhibitor of hydroxy-3-methylglutaryl coenzyme A reductase with multiple reported therapeutic benefits. The present study was designed to investigate the effect pretreatment SIM on isoproterenol (ISO)-induced cardiac hypertrophy in rats. Twenty-four male albino Wistar rats weighing 180–200 g were divided into four groups. Groups I and III received normal saline while groups II IV (10 mg/kg body weight) for 30 days per gavage. In last 7 days,...
In the wake of COVID-19 pandemic, research indicates that disease susceptibility varies among individuals depending on their ABO blood groups. Researchers globally commenced investigating potential methods to stratify cases according prognosis several clinical parameters. Since there is evidence a link between groups and susceptibility, it could be argued manifestation progression. The current study investigates whether manifestation, laboratory, imaging findings vary hospitalized confirmed...
Diabetic retinopathy (DR) is among the most dan-gerous diabetic complications that can lead to lifelong blindness if left untreated. One of essential difficulties in DR early discovery, which crucial for therapy progress. The accurate diagnosis stage famously complicated and demands a skilled analysis by expert being fundus images. This paper detects classifies its using retina images applying conventional neural networks transfer learning models. Three deep models were investigated: trained...
This paper describes a study of grapheme-based speech recognition for colloquial Arabic. An investigation language and acoustic model configurations is carried out to illustrate the differences between modern standard Arabic (MSA) on example Levantine telephone conversations. The defines extensive carefully crafted data sets different dialects studies their overlap with MSA sources. use grapheme models re-investigated, alternative configuration correct obvious shortcomings are tested....
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Modern standard Arabic (MSA) is the official language of spoken and written media.Colloquial (CA) set variants modern that exist in form regional dialects.CA used informal everyday conversations while MSA formal communication.An speaker switches between two according to situation.Developing an automatic speech recognition system always requires a large collection transcribed or text, for CA dialects this issue.CA has limited textual resources because it exists only as language, without...
Abstract The authors have requested that this preprint be removed from Research Square.
Propagation delay in blockchain networks is a major impairment of message transmission and validation the bitcoin network. The transaction caused by propagation across long network chains can cause significant threats to integrity allowing miners find blocks during consensus process. Potential slow dissemination include double-spending, partitions, eclipse attacks. In this paper, we propose method for minimizing reducing non-compulsory broadcasts underlying Our will decrease consequently...
Clustering researchers in communities is an important task to support a range of techniques for analyzing and making sense the research environment helps re-searchers find people same field interest collaborate. In computer science, ontology commonly used capture knowledge about particular area using relevant concepts relations. This study investigates use overlapping community detection algorithms on multilayered Arabic scholarly network detect who share their interests. Two can if they...