Results 141 to 150 of about 161,130 (264)

Quantitative method of pipeline magnetic leakage internal signal detection on the basis of an improved neural network. [PDF]

Sci Rep
Wang G, Bei S, Zuo Y, Zhang H.
europepmc   +1 more source

Random neural network learning heuristics [PDF]

, 2017
Abbas Javed, Abdelbaki, Abdelrahman, Ali Ahmadinia, Atalay, Bakirciouglu, Beale, Bi, Ceran, Cerkez, de Freitas Vaz, Francois, Gelenbe, Gelenbe, Hadi Larijani, Holland, Hubert, Javed, Lu, Rohinton Emmanuel, Shah, Wang, Zhong   +22 more
core   +1 more source

Review on enhancing clinical decision support system using machine learning

CAAI Transactions on Intelligence Technology, EarlyView.
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, Usman Naseem, Junaid Rashid, Jungeun Kim, Imran Razzak   +4 more
wiley   +1 more source

An intelligent hybrid deep learning-machine learning model for monthly groundwater level prediction. [PDF]

Sci Rep
Banadkooki FB, Ghanbari-Adivi E, Sayyahi F, Ehteram M.   +3 more
europepmc   +1 more source

Coevolutionary Neural Dynamics With Learnable Parameters for Nonconvex Optimisation

CAAI Transactions on Intelligence Technology, EarlyView.
ABSTRACT Nonconvex optimisation plays a crucial role in science and industry. However, existing methods often encounter local optima or provide inferior solutions when solving nonconvex optimisation problems, lacking robustness in noise scenarios. To address these limitations, we aim to develop a robust, efficient and globally convergent solver for ...
Yipiao Chen, Wenbin Du, Huichao Cao, Long Jin   +3 more
wiley   +1 more source

Explainable AI framework for improved Thalassemia mental health classification and feature selection. [PDF]

PLoS One
Ayon SS, Al Mamun A, Hossain ME, Alamro W, Allawi YM, Prova NNI, Miah MSU, Sultan SM, Abadleh A.   +8 more
europepmc   +1 more source

Short‐Term Multi‐Horizon Line Loss Rate Forecasting of a Distribution Network Using Attention‐GCN‐LSTM

CAAI Transactions on Intelligence Technology, EarlyView.
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, Yijia Cao, Yong Li, Yixiu Guo, Wei Deng   +4 more
wiley   +1 more source

A low-power VHF transceiver for airborne SAR with enhanced buried object detection using chirped signal processing. [PDF]

Sci Rep
Siddik Y, Hussein KFA, Esmaiel H, El-Samie FEA, Mubarak AS.   +4 more
europepmc   +1 more source

Mesh‐Based Charge Simulation Method and Its Applications to Electrostatic Electric Field Computation

High Voltage, EarlyView.
ABSTRACT The charge simulation method (CSM) is a well‐established numerical technique employed in electrostatic field calculations, primarily due to its simplicity and computational efficiency. However, conventional CSM face challenges when applied to complex geometries, as they necessitate meticulous manual placement of simulation charges and matching
Tahan Wang, Kun He, Fangyuan Cao, Bo Chen, Li Xie, Jiayu Lu   +5 more
wiley   +1 more source

Binary Pufferfish Optimization Algorithm for Combinatorial Problems. [PDF]

Biomimetics (Basel)
Crawford B, Paz Á, Soto R, Peña Fritz Á, Astorga G, Cisternas-Caneo F, Toledo Mac-Lean CP, Solís-Piñones F, Arce JL, Giachetti G.   +9 more
europepmc   +1 more source