Results 141 to 150 of about 162,419 (260)
Review on enhancing clinical decision support system using machine learning
Abstract Clinical decision‐making is a complex patient‐centred process. For an informed clinical decision, the input data is very thorough ranging from detailed family history, environmental history, social history, health‐risk assessments, and prior relevant medical cases.
Anum Masood +4 more
wiley +1 more source
Bio‐Inspired Optimisation Methods Applied to Low Carbon Power and Energy Problems: A Survey
ABSTRACT Bio‐inspired optimisation methods have been widely applied to complex real‐world problems, particularly in low‐carbon power and energy systems, where optimisation tasks often involve high‐dimensional, constrained and mixed‐integer characteristics.
Tianyu Hu +4 more
wiley +1 more source
Association of BRI With Psoriasis and Mediator Effect of SII: A Study Based on NHANES (2003-2006, 2009-2014). [PDF]
Zhang N, Li J, Song P.
europepmc +1 more source
ABSTRACT Accurately predicting line loss rates is crucial for effective management in distribution networks, particularly for short‐term multihorizon forecasts ranging from 1 hour to 1 week. In this study, we propose attention‐GCN–LSTM, a novel method that integrates graph convolutional networks (GCN), long short‐term memory (LSTM) and a three‐level ...
Jie Liu +4 more
wiley +1 more source
Multi-omics analysis reveals psoralen to suppresses renal cell carcinoma through the PI3K/AKT pathway. [PDF]
Chen D, Chen T, Yang Y, Wang A.
europepmc +1 more source
ABSTRACT Intelligent and adaptive defence systems that can quickly thwart changing cyberthreats are becoming more and more necessary in the dynamic and data‐intensive Internet of things (IoT) environment. Using the NSL‐KDD benchmark dataset, this paper presents an improved anomaly detection system that combines an optimised sequential neural network ...
Seong‐O Shim +4 more
wiley +1 more source
ABSTRACT A formation inversion algorithm with real‐time performance and accuracy is crucial for natural gamma logging while drilling (LWD). However, traditional inversion algorithms are often limited by high computational resource consumption and insufficient accuracy.
Juntao Liu +4 more
wiley +1 more source
PSO-optimized electronic load controller with intelligent energy recovery for self-excited induction generator based micro-hydro systems. [PDF]
Sinha S, Rajak MK, Pudur R.
europepmc +1 more source
ABSTRACT Smart energy management systems (EMS) are entering a phase of rapid transformation. Artificial intelligence (AI)—including machine learning (ML), deep learning (DL), and reinforcement learning (RL)—has become the computational backbone for real‐time forecasting, scheduling, and control of renewable‐rich power systems.
Sihai An +5 more
wiley +1 more source
A Triple-Hit Multi-Omics Framework for Psoriasis: Microbial Metabolic Remodeling and Immune Cell Methylome Signature Associated with an AMP-Dominant Lesional Program. [PDF]
Lee YK, Kim HY, Shim D.
europepmc +1 more source

