Results 71 to 80 of about 418,704 (219)

Optimizing the topology of convolutional neural network (CNN) and artificial neural network (ANN) for brain tumor diagnosis (BTD) through MRIs

open access: yesHeliyon
The use of MRI analysis for BTD and tumor type detection has considerable importance within the domain of machine vision. Numerous methodologies have been proposed to address this issue, and significant progress has been achieved in this domain via the ...
Jianhong Ye   +5 more
doaj   +1 more source

Deep Learning Methods Used in Precision Agriculture [PDF]

open access: yesBIO Web of Conferences
Precision agriculture is an important field that aims to optimize crop yields and quality, and it is crucial for ensuring food security and sustainability.
Wang Yuchu
doaj   +1 more source

Protein Secondary Structure Prediction Using Cascaded Convolutional and Recurrent Neural Networks

open access: yes, 2016
Protein secondary structure prediction is an important problem in bioinformatics. Inspired by the recent successes of deep neural networks, in this paper, we propose an end-to-end deep network that predicts protein secondary structures from integrated ...
Li, Zhen, Yu, Yizhou
core  

Artificial Neural Networks and Deep Learning for Genomic Prediction of Binary, Ordinal, and Mixed Outcomes [PDF]

open access: gold, 2022
Osval A. Montesinos‐López   +2 more
openalex   +1 more source

Artificial Intelligence in Ship Trajectory Prediction

open access: yesJournal of Marine Science and Engineering
Maritime traffic is increasing more and more, creating more complex navigation environments for ships. Ship trajectory prediction based on historical AIS data is a vital method of reducing navigation risks and enhancing the efficiency of maritime traffic
Jinqiang Bi   +4 more
doaj   +1 more source

Fault Prediction and Diagnosis of Power Electronic Systems in Smart Grids [PDF]

open access: yesITM Web of Conferences
With the rapid development of smart grids, the stability and reliability of power electronic systems have become key challenges. Traditional fault diagnosis methods are difficult to deal with the complex and changeable operating environment and massive ...
Jia Lingan
doaj   +1 more source

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