Results 51 to 60 of about 552,282 (301)

An Optimized Convolutional Neural Network for the 3D Point-Cloud Compression

open access: yesSensors, 2023
Due to the tremendous volume taken by the 3D point-cloud models, knowing how to achieve the balance between a high compression ratio, a low distortion rate, and computing cost in point-cloud compression is a significant issue in the field of virtual ...
Guoliang Luo   +6 more
doaj   +1 more source

Dependency-based Convolutional Neural Networks for Sentence Embedding

open access: yes, 2015
In sentence modeling and classification, convolutional neural network approaches have recently achieved state-of-the-art results, but all such efforts process word vectors sequentially and neglect long-distance dependencies. To exploit both deep learning
Huang, Liang   +3 more
core   +1 more source

Optimized Time–Frequency Analysis for Induction Motor Fault Detection Using Hybrid Differential Evolution and Deep Learning Techniques

open access: yesInternational Journal of Adaptive Control and Signal Processing, EarlyView.
Workflow of the parameter optimization process for ITSC fault detection, applying Differential Evolution optimization and the Smooth Pseudo Wigner‐Ville Distribution for signal processing. The optimized parameters are then used in the failure identification pipeline, which combines the signal processing with a YOLO‐based architecture for fault severity
Rafael Martini Silva   +4 more
wiley   +1 more source

Review of Node Classification Methods Based on Graph Convolutional Neural Networks [PDF]

open access: yesJisuanji kexue
Node classification is one of the important research tasks in graph field.In recent years,with the continuous deepening of research on graph convolutional neural network,significant progress has been made in the research and application of node ...
ZHANG Liying, SUN Haihang, SUN Yufa , SHI Bingbo
doaj   +1 more source

Irregular Convolutional Neural Networks [PDF]

open access: yes2017 4th IAPR Asian Conference on Pattern Recognition (ACPR), 2017
7 pages, 5 figures, 3 ...
Jiabin Ma, Wei Wang, Liang Wang
openaire   +2 more sources

Adverse Drug Reaction Classification With Deep Neural Networks [PDF]

open access: yes, 2016
We study the problem of detecting sentences describing adverse drug reactions (ADRs) and frame the problem as binary classification. We investigate different neural network (NN) architectures for ADR classification.
He, Yulan   +3 more
core   +1 more source

Detecting Dengue in Flight: Leveraging Machine Learning to Analyze Mosquito Flight Patterns for Infection Detection

open access: yesAdvanced Biology, EarlyView.
Dengue infection alters mosquito flight behavior, enabling detection using machine learning classifiers. This study analyzes 3D flight trajectories and evaluates multiple models, showing that longer sequence lengths improve classification performance.
Nouman Javed   +3 more
wiley   +1 more source

Forest fire image recognition based on convolutional neural network

open access: yesJournal 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

Orthogonal Features Extraction Method and Its Application in Convolution Neural Network

open access: yesShanghai Jiaotong Daxue xuebao, 2021
In view of feature redundancy in the convolutional neural network, the concept of orthogonal vectors is introduced into features. Then, a method for orthogonal features extraction of convolutional neural network is proposed from the perspective of ...
LI Chen, LI Jianxun
doaj   +1 more source

Phylogenetic convolutional neural networks in metagenomics [PDF]

open access: yesBMC Bioinformatics, 2018
Presented at BMTL 2017 ...
Claudio Agostinelli   +7 more
openaire   +7 more sources

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