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Artificial Intelligence in Predicting Heart Failure
(
Qatar University Press
, 2021 , Poster)
Heart Failure is a major chronic disease that is increasing day by day and a great health burden in health care systems world wide. Artificial intelligence (AI) techniques such as machine learning (ML), deep learning (DL), ...
An Early Warning Tool for Predicting Mortality Risk of COVID-19 Patients Using Machine Learning
(
Springer
, 2021 , Article)
COVID-19 pandemic has created an extreme pressure on the global healthcare services. Fast, reliable, and early clinical assessment of the severity of the disease can help in allocating and prioritizing resources to reduce ...
ML-Based Handover Prediction and AP Selection in Cognitive Wi-Fi Networks
(
Springer
, 2022 , Article)
Device mobility in dense Wi-Fi networks offers several challenges. Two well-known problems related to device mobility are handover prediction and access point selection. Due to the complex nature of the radio environment, ...
Protein glycation – biomarkers of metabolic dysfunction and early-stage decline in health in the era of precision medicine
(
Elsevier
, 2021 , Article)
Protein glycation provides a biomarker in widespread clinical use, glycated hemoglobin HbA1c (A1C). It is a biomarker for diagnosis of diabetes and prediabetes and of medium-term glycemic control in patients with established ...
Automated liver tissues delineation techniques: A systematic survey on machine learning current trends and future orientations
(
Elsevier
, 2023 , Short Survey)
Machine learning and computer vision techniques have grown rapidly in recent years due to their automation, suitability, and ability to generate astounding results. Hence, in this paper, we survey the key studies that are ...
Fusion of Machine Learning and Privacy Preserving for Secure Facial Expression Recognition
(
Hindawi
, 2021 , Article)
The interest in Facial Expression Recognition (FER) is increasing day by day due to its practical and potential applications, such as human physiological interaction diagnosis and mental disease detection. This area has ...
Revolutionizing chronic lymphocytic leukemia diagnosis: A deep dive into the diverse applications of machine learning
(
Elsevier
, 2023 , Article)
Chronic lymphocytic leukemia (CLL) is a B cell neoplasm characterized by the accumulation of aberrant monoclonal B lymphocytes. CLL is the predominant type of leukemia in Western countries, accounting for 25% of cases. ...
Urban resilience and livability performance of European smart cities: A novel machine learning approach
(
Elsevier
, 2022 , Article)
Smart cities are centres of economic opulence and hope for standardized living. Understanding the shades of urban resilience and livability in smart city models is of paramount importance. This study presents a novel ...
Enhancing vulnerability assessment through spatially explicit modeling of mountain social-ecological systems exposed to multiple environmental hazards
(
Elsevier
, 2024 , Article)
The evaluation of the vulnerability of coupled socio-ecological systems is critical for addressing and preventing the adverse impacts of various environmental hazards and devising strategies for climate change adaptation. ...
Performance analysis of various machine learning algorithms for CO2 leak prediction and characterization in geo-sequestration injection wells
(
Elsevier
, 2024 , Article)
The effective detection and prevention of CO2 leakage in active injection wells are paramount for safe carbon capture and storage (CCS) initiatives. This study assesses five fundamental machine learning algorithms, namely, ...