Revolutionizing healthcare: the role of artificial intelligence in clinical practice
Introduction Healthcare systems are complex and challenging for all stakeholders, but
artificial intelligence (AI) has transformed various fields, including healthcare, with the …
artificial intelligence (AI) has transformed various fields, including healthcare, with the …
A review of hybrid deep learning applications for streamflow forecasting
Deep learning has emerged as a powerful tool for streamflow forecasting and its
applications have garnered significant interest in the hydrological community. Despite the …
applications have garnered significant interest in the hydrological community. Despite the …
Development of intelligent fault-tolerant control systems with machine learning, deep learning, and transfer learning algorithms: a review
Abstract Intelligent Fault-Tolerant Control (IFTC) refers to the applications of machine
learning algorithms for fault diagnosis and design of Fault-Tolerant Control (FTC). The …
learning algorithms for fault diagnosis and design of Fault-Tolerant Control (FTC). The …
Applications of machine learning to water resources management: A review of present status and future opportunities
Water is the most valuable natural resource on earth that plays a critical role in the socio-
economic development of humans worldwide. Water is used for various purposes, including …
economic development of humans worldwide. Water is used for various purposes, including …
[HTML][HTML] Artificial intelligence and machine learning in pharmacological research: bridging the gap between data and drug discovery
Artificial intelligence (AI) has transformed pharmacological research through machine
learning, deep learning, and natural language processing. These advancements have …
learning, deep learning, and natural language processing. These advancements have …
Enhancement of an IoT hybrid intrusion detection system based on fog-to-cloud computing
D Mohamed, O Ismael - Journal of Cloud Computing, 2023 - Springer
Nowadays, with the proliferation of internet of things-connected devices, the scope of cyber-
attacks on the internet of things has grown exponentially. So, it makes it a necessity to …
attacks on the internet of things has grown exponentially. So, it makes it a necessity to …
Predicting the risk of hypertension using machine learning algorithms: A cross sectional study in Ethiopia
Background and objectives Hypertension (HTN), a major global health concern, is a leading
cause of cardiovascular disease, premature death and disability, worldwide. It is important to …
cause of cardiovascular disease, premature death and disability, worldwide. It is important to …
[HTML][HTML] WiFOG: Integrating deep learning and hybrid feature selection for accurate freezing of gait detection
This study investigates the feasibility of utilizing non-invasive WiFi sensing using the 4.8
GHz operating frequency band of the 5 G spectrum, which is suitable for Internet of Things …
GHz operating frequency band of the 5 G spectrum, which is suitable for Internet of Things …
Social determinants of health and racial disparities in cardiac events in breast cancer
N Stabellini, M Dmukauskas, MS Bittencourt… - Journal of the National …, 2023 - jnccn.org
Background: Racial disparities have been reported for breast cancer and cardiovascular
disease (CVD) outcomes. The determinants of racial disparities in CVD outcomes are not yet …
disease (CVD) outcomes. The determinants of racial disparities in CVD outcomes are not yet …
Feature selection in machine learning for perovskite materials design and discovery
J Wang, P Xu, X Ji, M Li, W Lu - Materials, 2023 - mdpi.com
Perovskite materials have been one of the most important research objects in materials
science due to their excellent photoelectric properties as well as correspondingly complex …
science due to their excellent photoelectric properties as well as correspondingly complex …
