Mohammed Aldawsari
Biographic Data
| ID | 9758638 |
|---|---|
| NAME | Mohammed Aldawsari |
| GIVEN NAMES | Mohammed |
| FAMILY NAME | Aldawsari |
| SIGNATURE | ALDAWSARI M |
| AFFILIATIONS | Prince Sattam Bin Abdulaziz University |
| ORCID | 0000-0002-4164-0341 |
| VERIFIED | Yes |
| TOTAL WORKS | 4 |
| TOTAL CITATIONS | 0 |
| WORKS AS AUTHOR | 4 |
| WORKS AS EDITOR | 0 |
| FIRST PUBLICATION YEAR | 2020 |
| LATEST PUBLICATION YEAR | 2026 |
| H-INDEX | 0 |
Machine learning based prediction of antimicrobial resistance in Klebsiella spp
Introduction Klebsiella species are well-recognized pathogens implicated in both healthcare-associated and community-acquired infections, and they contribute substantially to the global burden of antimicrobial resistance. In this study, we investigated the epidemiology, temporal resistance trends, multidrug resistance profiles, and the application of machine learning (ML) approaches to predict antimicrobial susceptibility among Klebsiella isolate…
Deciphering Students and Teachers' Perceptions Towards English as a Medium of Instruction
Medium of instruction has been shifting towards English, thereby producing English as a medium of instruction (EMI) in Saudi higher education due to internationalization, globalization, economic and technological advancement. Saudi universities have been adopting EMI to address the needs of the day and the demands by the stakeholders and students. This study explores the perceptions of Saudi university students and teachers about the use of EMI i…
Lexical Ambiguity in Arabic Information Retrieval
In recent years, both research and industry have shown an increasing interest in developing reliable information retrieval (IR) systems that can effectively address the growing demands of users worldwide. In spite of the relative success of IR systems in addressing the needs of users and even adapting to their environments, many problems remain unresolved. One main problem is lexical ambiguity which has negative impacts on the performance and rel…
A Discourse-Historical Approach to Populism in the Right-Wing Discourse on Immigration
This study is concerned with investigating the implications of the new nationalist and populist discourse of the far right-wing movements to immigration in different Arab countries, with a focus on Egypt, Lebanon, and Jordan. For this purpose, the study is based on a corpus of different genres, including political speeches, newspaper articles, as well as social media posts and comics. Critical Discourse Analysis (CDA) is used in order to explore …
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Lexical Ambiguity in Arabic Information Retrieval
In recent years, both research and industry have shown an increasing interest in developing reliable information retrieval (IR) systems that can effectively address the growing demands of users worldwide. In spite of the relative success of IR systems in addressing the needs of users and even adapting to their environments, many problems remain unresolved. One main problem is lexical ambiguity which has negative impacts on the performance and rel…
A Discourse-Historical Approach to Populism in the Right-Wing Discourse on Immigration
This study is concerned with investigating the implications of the new nationalist and populist discourse of the far right-wing movements to immigration in different Arab countries, with a focus on Egypt, Lebanon, and Jordan. For this purpose, the study is based on a corpus of different genres, including political speeches, newspaper articles, as well as social media posts and comics. Critical Discourse Analysis (CDA) is used in order to explore …
Deciphering Students and Teachers' Perceptions Towards English as a Medium of Instruction
Medium of instruction has been shifting towards English, thereby producing English as a medium of instruction (EMI) in Saudi higher education due to internationalization, globalization, economic and technological advancement. Saudi universities have been adopting EMI to address the needs of the day and the demands by the stakeholders and students. This study explores the perceptions of Saudi university students and teachers about the use of EMI i…
Machine learning based prediction of antimicrobial resistance in Klebsiella spp
Introduction Klebsiella species are well-recognized pathogens implicated in both healthcare-associated and community-acquired infections, and they contribute substantially to the global burden of antimicrobial resistance. In this study, we investigated the epidemiology, temporal resistance trends, multidrug resistance profiles, and the application of machine learning (ML) approaches to predict antimicrobial susceptibility among Klebsiella isolate…
Arabic (2 works) · Political science (2 works) · Advanced Text Analysis Techniques (1 work) · Ambiguity (1 work) · Antibiotic resistance (1 work) · Antibiotic Resistance in Bacteria (1 work) · Antibiotic Use and Resistance (1 work) · Antimicrobial (1 work) · Artificial Intelligence (1 work) · Artificial neural network (1 work)