Results 41 to 50 of about 874,187 (329)
A wavelet neural network approach to predict daily river discharge using meteorological data
Measurement + Control, 2019 This paper reports some part of modelling and data analysis work carried out within the frame of a comprehensive project on the web-based development of watershed information system.
Ömer Gürsoy, Seref Naci Engin
doaj +1 more source
Pendekatan Artificial Neural Network (Ann) Untuk Mengklasifikasikan Hewan Vetebrata Menggunakan Kohonen Self Organizing Map (Som) [PDF]
, 2013 This research was proposes an approach to identifying vertebrates or invertebrates that premises Kohonen Self Organizing Map (SOM). SOM is one of the topology of the Artificial Neural Network (ANN).The network will be trained to classify five kinds of ...
Tursina, T. (Tursina)
core
Neural Networks Architecture Evaluation in a Quantum Computer
, 2017 In this work, we propose a quantum algorithm to evaluate neural networks architectures named Quantum Neural Network Architecture Evaluation (QNNAE). The proposed algorithm is based on a quantum associative memory and the learning algorithm for artificial
da Silva, Adenilton José +1 more
core +1 more source
FEBS Letters, EarlyView.B cells sense external mechanical forces and convert them into biochemical signals through mechanotransduction. Understanding how malignant B cells respond to physical stimuli represents a groundbreaking area of research. This review examines the key mechano‐related molecules and pathways in B lymphocytes, highlights the most relevant techniques to ...
Marta Sampietro +2 more
wiley +1 more source
Electrophysiological approaches to informing therapeutic interventions with deep brain stimulation
npj Parkinson's DiseaseNeuromodulation therapy comprises a range of non-destructive and adjustable methods for modulating neural activity using electrical stimulations, chemical agents, or mechanical interventions.
Atefeh Asadi +5 more
doaj +1 more source
Diabetes Prediction Using Artificial Neural Network [PDF]
, 2018 Diabetes is one of the most common diseases worldwide where a cure is not found for it yet. Annually it cost a lot of money to care for people with diabetes. Thus the most important issue is the prediction to be very accurate and to use a reliable method
Abu-Naser, Samy S. +1 more
core +3 more sources
Prediction of subsidence due to underground mining by artificial neural networks [PDF]
, 2003 Alternatively to empirical prediction methods, methods based on influential functions and on mechanical model, artificial neural networks (ANNs) can be used for the surface subsidence prediction.
Ambrožič, Tomaž, Turk, Goran
core +1 more source
Single‐cell insights into the role of T cells in B‐cell malignancies
FEBS Letters, EarlyView.Single‐cell technologies have transformed our understanding of T cell–tumor cell interactions in B‐cell malignancies, revealing new T‐cell subsets, functional states, and immune evasion mechanisms. This Review synthesizes these findings, highlighting the roles of T cells in pathogenesis, progression, and therapy response, and underscoring their ...
Laura Llaó‐Cid
wiley +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
Artificial Neural Network Based Mppt Algorithm for Modern Household with Electric Vehicle
Communications, 2022 This paper deals with implementation of artificial neural network in the maximum power point tracking (MPPT) controller algorithm for modern household where electric vehicle (EV) was purchased. The proposed MPPT algorithm was designed to achieve the best
Ján Morgoš, Peter Klčo, Karol Hrudkay
doaj +1 more source