Results 81 to 90 of about 2,004,297 (387)

Forest fire image recognition based on convolutional neural network

Journal of Algorithms & Computational Technology, 2019
In order to detect fire automatically, a forest fire image recognition method based on convolutional neural networks is proposed in this paper. There are two main types of fire recognition algorithms.
Yuanbin Wang, Langfei Dang, Jieying Ren
doaj   +1 more source

SMT Assembly Inspection Using Dual-Stream Convolutional Networks and Two Solder Regions

Applied Sciences, 2020
The automated optical inspection of a surface mount technology line inspects a printed circuit board for quality assurance, and subsequently classifies the chip assembly defects.
Young-Gyu Kim, Tae-Hyoung Park
doaj   +1 more source

Addressing Item-Cold Start Problem in Recommendation Systems using Model Based Approach and Deep Learning

, 2017
Traditional recommendation systems rely on past usage data in order to generate new recommendations. Those approaches fail to generate sensible recommendations for new users and items into the system due to missing information about their past ...
A Rajaraman, D Stojanovski, F Ricci, G Cormode, R Collobert   +4 more
core   +1 more source

Irregular Convolutional Neural Networks [PDF]

2017 4th IAPR Asian Conference on Pattern Recognition (ACPR), 2017
7 pages, 5 figures, 3 ...
Jiabin Ma, Wei Wang, Liang Wang
openaire   +2 more sources

Hardware implementation of a convolutional neural network using calculations in the residue number system [PDF]

Компьютерная оптика, 2019
Modern convolutional neural networks architectures are very resource intensive which limits the possibilities for their wide practical application.
Nikolay Chervyakov, Pavel Lyakhov, Nikolay Nagornov, Maria Valueva, Georgiy Valuev   +4 more
doaj   +1 more source

Development and Application of Convolutional Neural Network Model

Jisuanji kexue yu tansuo, 2021
Deep learning is the latest trend of machine learning and artificial intelligence research. As a new field of rapid development in the past ten years, more and more researchers pay attention to it.
YAN Chunman ,WANG Cheng
doaj   +1 more source

Lecture Notes: Neural Network Architectures [PDF]

arXiv, 2023
These lecture notes provide an overview of Neural Network architectures from a mathematical point of view. Especially, Machine Learning with Neural Networks is seen as an optimization problem. Covered are an introduction to Neural Networks and the following architectures: Feedforward Neural Network, Convolutional Neural Network, ResNet, and Recurrent ...
arxiv  

Phylogenetic convolutional neural networks in metagenomics [PDF]

BMC Bioinformatics, 2018
Presented at BMTL 2017 ...
Claudio Agostinelli, Valerio Maggio, Giuseppe Jurman, Cesare Furlanello, Ylenia Giarratano, Diego Fioravanti, Diego Fioravanti, Marco Chierici   +7 more
openaire   +8 more sources

Classification of Brain Tumors from MRI Images Using a Convolutional Neural Network

Applied Sciences, 2020
The classification of brain tumors is performed by biopsy, which is not usually conducted before definitive brain surgery. The improvement of technology and machine learning can help radiologists in tumor diagnostics without invasive measures.
Milica M. Badža, M. Barjaktarović
semanticscholar   +1 more source

Enhanced dose prediction for head and neck cancer artificial intelligence‐driven radiotherapy based on transfer learning with limited training data

Journal of Applied Clinical Medical Physics, EarlyView.
Abstract Purpose Training deep learning dose prediction models for the latest cutting‐edge radiotherapy techniques, such as AI‐based nodal radiotherapy (AINRT) and Daily Adaptive AI‐based nodal radiotherapy (DA‐AINRT), is challenging due to limited data.
Hui‐Ju Wang, Austen Maniscalco, David Sher, Mu‐Han Lin, Steve Jiang, Dan Nguyen   +5 more
wiley   +1 more source