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Association of single nucleotide polymorphisms with dyslipidemia and risk of metabolic disorders in the State of Qatar
منشور في 2023"…<h3>Background</h3><p dir="ltr">Dyslipidemia is recognized as one of the risk factors of cardiovascular diseases (CVDs), type 2 diabetes mellitus (T2DM), and non-alcoholic fatty liver disease (NAFLD).</p><h3>Objective</h3><p dir="ltr">The study aimed to investigate the association between selected single nucleotide polymorphisms (SNPs) with dyslipidemia and increased susceptibility risks of CVD, NAFLD, and/or T2DM in dyslipidemia patients in comparison with healthy control individuals from the Qatar genome project.…"
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Theft Detection Unit For Photo-Votaic Generation in Smart Grid Networks
منشور في 2020احصل على النص الكامل
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Electrochemical Studies on the Corrosion Behavior of Common Metals in Eutectic Ionic Liquids
منشور في 2017احصل على النص الكامل
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126
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128
Decoding silent speech: a machine learning perspective on data, methods, and frameworks
منشور في 2025"…Examining state-of-the-art SSR frameworks, the paper covers important topics such signal processing, feature extraction, ML techniques for decoding and optimizing and assessing the performance of SSR models. We emphasize how deep learning (DL) and ML models have evolved to increase SSR resilience and accuracy. …"
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129
Intelligent scaling for 6G IoE services for resource provisioning
منشور في 2021"…IScaler is considered to be made for MEC in Deep Reinforcement Learning (DRL). The paper has considered several requirements for making service placement decisions. …"
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130
Communication-efficient hierarchical federated learning for IoT heterogeneous systems with imbalanced data
منشور في 2022"…<p dir="ltr">Federated Learning (FL) is a distributed learning methodology that allows multiple nodes to cooperatively train a deep learning model, without the need to share their local data. …"
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131
Human Action Recognition: A Taxonomy-Based Survey, Updates, and Opportunities
منشور في 2023"…One of the most challenging issues for computer vision is the automatic and precise identification of human activities. A significant increase in feature learning-based representations for action recognition has emerged in recent years, due to the widespread use of deep learning-based features. …"
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132
Evaluating machine learning technologies for food computing from a data set perspective
منشور في 2023"…Food computing benefits from technologies based on modern machine learning techniques, including deep learning, deep convolutional neural networks, and transfer learning. …"
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133
A systematic review and meta-analysis on the impact of early vs. delayed pharmacological thromboprophylaxis in patients with traumatic brain injury
منشور في 2024"…Our findings indicated that early prophylaxis significantly reduced the incidence of VTE, deep vein thrombosis (DVT), pulmonary embolism (PE), and overall mortality when compared to late administration. …"
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134
A New Flow-Based Approach for Enhancing Botnet Detection Efficiency Using Convolutional Neural Networks and Long Short-Term Memory
منشور في 2025"…<p dir="ltr">Despite the growing research and development of botnet detection tools, an ever-increasing spread of botnets and their victims is being witnessed. …"
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135
Food fraud detection using explainable artificial intelligence
منشور في 2023"…<div><p>Recently, the global food supply chain has become increasingly complex, and its scalability has grown. …"
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136
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TB-CXRNet: Tuberculosis and Drug-Resistant Tuberculosis Detection Technique Using Chest X-ray Images
منشور في 2024"…Moreover, due to the increase of drug-resistant tuberculosis, the disease becomes more challenging in recent years. …"
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138
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Improving diagnosis and prognosis of lung cancer using vision transformers: a scoping review
منشور في 2023"…It provides key insights into how vision transformers complemented the performance of AI and deep learning methods for lung cancer. Furthermore, the review also identifies the datasets that contributed to advancing the field.…"