Results 61 to 70 of about 2,398,960 (400)

Neural Network Applications [PDF]

, 1995
Artificial neural networks, also called neural networks, have been used successfully in many fields including engineering, science and business. This paper presents the implementation of several neural network simulators and their applications in ...
Jain, L.C., Veelenturf, L.P.J., Vonk, E.
core   +3 more sources

Artificial Neural Networks in Medical Diagnosis

International Journal of Research Publication and Reviews
Artificial neural networks are finding many uses in the medical diagnosis application. The goal of this paper is to evaluate artificial neural network in disease diagnosis. Two cases are studied.
Qeethara Al-Shayea
semanticscholar   +1 more source

Artificial Intelligence Image Recognition Method Based on Convolutional Neural Network Algorithm

IEEE Access, 2020
As an algorithm with excellent performance, convolutional neural network has been widely used in the field of image processing and achieved good results by relying on its own local receptive fields, weight sharing, pooling, and sparse connections.
Youhui Tian
semanticscholar   +1 more source

Removing Unclassified Hand Tremor Motion from Computer Mouse Input with Neural Networks

International Journal of Interactive Multimedia and Artificial Intelligence, 2018
An artificial neural network based filter to remove unwanted tremor-induced motion in computer mouse input is presented and tested. A method to efficiently capture appropriate training data is shown to be important in the operation and training of the ...
Stephen Mack
doaj   +1 more source

An Introductory Review of Spiking Neural Network and Artificial Neural Network: From Biological Intelligence to Artificial Intelligence [PDF]

8th International Conference on Artificial Intelligence 2022, 2022
Recently, stemming from the rapid development of artificial intelligence, which has gained expansive success in pattern recognition, robotics, and bioinformatics, neuroscience is also gaining tremendous progress. A kind of spiking neural network with biological interpretability is gradually receiving wide attention, and this kind of neural network is ...
arxiv  

Pancreatic Cancer Prediction Through an Artificial Neural Network

Frontiers in Artificial Intelligence, 2019
Early detection of pancreatic cancer is challenging because cancer-specific symptoms occur only at an advanced stage, and a reliable screening tool to identify high-risk patients is lacking.
W. Muhammad, Gregory R. Hart, B. Nartowt, J. Farrell, K. Johung, Ying Liang, J. Deng   +6 more
semanticscholar   +1 more source

Making tau amyloid models in vitro: a crucial and underestimated challenge

FEBS Letters, EarlyView.
This review highlights the challenges of producing in vitro amyloid assemblies of the tau protein. We review how accurately the existing protocols mimic tau deposits found in the brain of patients affected with tauopathies. We discuss the important properties that should be considered when forming amyloids and the benchmarks that should be used to ...
Julien Broc, Clara Piersson, Yann Fichou
wiley   +1 more source

Electrophysiological approaches to informing therapeutic interventions with deep brain stimulation

npj Parkinson's Disease
Neuromodulation therapy comprises a range of non-destructive and adjustable methods for modulating neural activity using electrical stimulations, chemical agents, or mechanical interventions.
Atefeh Asadi, Alex I. Wiesman, Christoph Wiest, Sylvain Baillet, Huiling Tan, Muthuraman Muthuraman   +5 more
doaj   +1 more source

The High Time Resolution Universe Survey VI: An Artificial Neural Network and Timing of 75 Pulsars [PDF]

, 2012
We present 75 pulsars discovered in the mid-latitude portion of the High Time Resolution Universe survey, 54 of which have full timing solutions. All the pulsars have spin periods greater than 100 ms, and none of those with timing solutions are in ...
A Jameson, A Lyne, A Possenti, Abdo, B R Barsdell, B Stappers, Bailes, Bates, Bhat, Bishop, Boyles, Burke-Spolaor, C Ng, C Nietner, Camilo, Cognard, Cordes, D J Champion, D Thornton, Eatough, Eatough, Edwards, Espinoza, Faucher-Giguère, Faucher-Giguère, Ferdman, Hobbs, Hobbs, Jenet, Keane, Keith, Keith, Keith, Keith, Kramer, Kramer, Kramer, L Levin, Levin, Looney, Lorimer, Lyne, Lyne, Lyne, M Bailes, M Burgay, M J Keith, M Kramer, Manchester, Manchester, McLaughlin, N D R Bhat, N D'Amico, O'Brien, P Coster, Ransom, Ray, Ridley, Rosen, S Burke-Spolaor, S D Bates, S Johnston, S Milia, Smits, Stappers, Taylor, van Leeuwen, W van Straten, Weltevrede, Weltevrede   +69 more
core   +5 more sources

Beyond digital twins: the role of foundation models in enhancing the interpretability of multiomics modalities in precision medicine

FEBS Open Bio, EarlyView.
This review highlights how foundation models enhance predictive healthcare by integrating advanced digital twin modeling with multiomics and biomedical data. This approach supports disease management, risk assessment, and personalized medicine, with the goal of optimizing health outcomes through adaptive, interpretable digital simulations, accessible ...
Sakhaa Alsaedi, Xin Gao, Takashi Gojobori   +2 more
wiley   +1 more source