7 hasil untuk "Murad Al-Rajab"
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Artikel Jurnal Teks lengkap
A framework model using multifilter feature selection to enhance colon cancer classification
Gene expression profiles can be utilized in the diagnosis of critical diseases such as cancer. The selection of biomarker genes from these profiles is significant and crucial for cancer detection. This paper presents a framework proposing a two-stage multifilter hybrid model of feature selection…
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Machine Learning Algorithms for Early Fall Detection of Elderly People
Falls are a serious concern among the elderly people, causing severe physical pain to them and placing a strain on medical infrastructure. The global elderly population is expected to grow significantly in the coming years, as advances in healthcare allow lifespans to increase globally. This will…
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A Multimodal Approach of Machine and Deep Learnings to Enhance the Fall of Elderly People
Falls are a serious concern among the elderly due to being a major cause of harm to their physical and mental health. Despite their potential for harm, they can be prevented with proper care and monitoring. As such, the motivation for this research is to implement an algorithmic solution to the…
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A deep learning model to enhance lung cancer detection using ‘Dual-Branch’ model classification approach
Cancer remains a life-threatening global challenge, with lung cancer ranking among the most devastating forms, impacting millions annually. Early detection and accurate classification are essential for improving patient survival rates, and computed tomography (CT) has become a critical tool in lung…
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A hybrid machine learning feature selection model—HMLFSM to enhance gene classification applied to multiple colon cancers dataset
Colon cancer is a significant global health problem, and early detection is critical for improving survival rates. Traditional detection methods, such as colonoscopies, can be invasive and uncomfortable for patients. Machine Learning (ML) algorithms have emerged as a promising approach for…
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Optimizing Urban Travel Time Using Genetic Algorithms for Intelligent Transportation Systems
Urban congestion causes further increases in travel times, fuel consumption and greenhouse-gas emissions. In this regard, we conduct a systematic study of a Genetic Algorithm (GA) for real-time routing in an urban scenario in Bethlehem City, based on a SUMO microsimulation that has been calibrated…
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Artikel Jurnal Teks lengkap
Artificial intelligence-enhanced CSI-based Wi-Fi sensing for non-contact vital sign monitoring: a systematic review
Background In the recent era, non-invasive health monitoring has gained attention as a crucial component of healthcare. Especially with the advancements in artificial intelligence (AI) and Wi-Fi-based sensing technologies offering promising solutions. These technologies can detect vital signs and…