Results 51 to 60 of about 848,733 (323)

Asymmetric representation of symmetric semantic information in the human brain

NeuroImage: Reports
Specific pairs of semantic entities have symmetric relationships, such as word pairs with opposite meanings (e.g., “intelligent” and “stupid”; “human” and “mechanical”). Such semantic symmetry is a key feature of semantic information.
Jiaxin Wang, Kiichi Kawahata, Antoine Blanc, Naoya Maeda, Shinji Nishimoto, Satoshi Nishida   +5 more
doaj   +1 more source

Automatic Programming of Cellular Automata and Artificial Neural Networks Guided by Philosophy

, 2020
Many computer models such as cellular automata and artificial neural networks have been developed and successfully applied. However, in some cases, these models might be restrictive on the possible solutions or their solutions might be difficult to ...
A Ilachinski, G Simondon, K Mainzer, M Cook, N Wiener, S Wolfram, SA Kaufmann, SJ Russel, TH Cormen, WR Ashby   +9 more
core   +1 more source

Diffusion Tractography Biomarker for Epilepsy Severity in Children With Drug‐Resistant Epilepsy

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective To develop a novel deep‐learning model of clinical DWI tractography that can accurately predict the general assessment of epilepsy severity (GASE) in pediatric drug‐resistant epilepsy (DRE) and test if it can screen diverse neurocognitive impairments identified through neuropsychological assessments.
Jeong‐Won Jeong, Min‐Hee Lee, Hiroshi Uda, Yoon Ho Hwang, Michael Behen, Aimee Luat, Csaba Juhász, Eishi Asano   +7 more
wiley   +1 more source

Research Progress of Oilfield Development Index Prediction Based on Artificial Neural Networks

Energies, 2021
Accurately predicting oilfield development indicators (such as oil production, liquid production, current formation pressure, water cut, oil production rate, recovery rate, cost, profit, etc.) is to realize the rational and scientific development of ...
Chenglong Chen, Yikun Liu, Decai Lin, Guohui Qu, Jiqiang Zhi, Shuang Liang, Fengjiao Wang, Dukui Zheng, Anqi Shen, Lifeng Bo, Shiwei Zhu   +10 more
doaj   +1 more source

Multi-Channel Profile Based Artificial Neural Network Approach for Remaining Useful Life Prediction of Electric Vehicle Lithium-Ion Batteries [PDF]

, 2021
Shaheer Ansari, Afida Ayob, Molla Shahadat Hossain Lipu, Aini Hussain, Mohamad Hanif Md Saad   +4 more
openalex   +1 more source

Giving Neurons to Sensors: An Approach to QoS Management Through Artificial Intelligence in Wireless Networks [PDF]

, 2006
For the latest ten years, many authors have focused their investigations in wireless sensor networks. Different researching issues have been extensively developed: power consumption, MAC protocols, selforganizing network algorithms, data-aggregation ...
Barbancho Concejero, Antonio, Barbancho Concejero, Julio, León de Mora, Carlos, Molina Cantero, Francisco Javier   +3 more
core   +1 more source

Deep Learning–Assisted Differentiation of Four Peripheral Neuropathies Using Corneal Confocal Microscopy

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective Peripheral neuropathies contribute to patient disability but may be diagnosed late or missed altogether due to late referral, limitation of current diagnostic methods and lack of specialized testing facilities. To address this clinical gap, we developed NeuropathAI, an interpretable deep learning–based multiclass classification ...
Chaima Ben Rabah, Ioannis N. Petropoulos, Mark Stettner, Maryam Ferdousi, Uazman Alam, Nathan Efron, Ahmed Serag, Rayaz A. Malik   +7 more
wiley   +1 more source

Application of ANN in Milling Process: A Review

Modelling and Simulation in Engineering, 2011
In recent years the trends were towards modeling of machining using artificial intelligence. ANN is considered one of the important methods of artificial intelligence in the modeling of nonlinear problems like machining processes.
Salah Al-Zubaidi, Jaharah A. Ghani, Che Hassan Che Haron   +2 more
doaj   +1 more source

Bionic Artificial Neural Networks in Medical Image Analysis

Biomimetics, 2023
Bionic artificial neural networks (BANNs) are a type of artificial neural network (ANN) [...]
Shuihua Wang, Huiling Chen, Yudong Zhang
doaj   +1 more source

Hopfield Neural Networks for Online Constrained Parameter Estimation With Time‐Varying Dynamics and Disturbances

International Journal of Adaptive Control and Signal Processing, EarlyView.
This paper proposes two projector‐based Hopfield neural network (HNN) estimators for online, constrained parameter estimation under time‐varying data, additive disturbances, and slowly drifting physical parameters. The first is a constraint‐aware HNN that enforces linear equalities and inequalities (via slack neurons) and continuously tracks the ...
Miguel Pedro Silva
wiley   +1 more source