Results 81 to 90 of about 5,285,158 (212)

Vehicle Attribute Recognition for Normal Targets and Small Targets Based on Multitask Cascaded Network

Complexity, 2019
The interference of the complex background and less information of the small targets are two major problems in vehicle attribute recognition. In this paper, two cascaded networks of vehicle attribute recognition are established to solve the two problems.
Fang Liu, Yong Zhang, Hua Gong, Ke Xu, Ligang Cai   +4 more
doaj   +1 more source

Nonreference Image Quality Evaluation Algorithm Based on Wavelet Convolutional Neural Network and Information Entropy

Entropy, 2019
The image quality evaluation method, based on the convolutional neural network (CNN), achieved good evaluation performance. However, this method can easily lead the visual quality of image sub-blocks to change with the spatial position after the image is
Jinhua Liu, Mulian Xu, Xinye Xu, Yuanyuan Huang   +3 more
doaj   +1 more source

KLASIFIKASI TANAMAN BERDASARKAN CITRA BUNGA MENGGUNAKAN CONVOLUTION NEURAL NETWORK (CNN)

Tanaman merupakan ekosistem yang berperan penting sebagai penghasil oksigen, sumber makanan, bahan obat-obatan dan elemen estetika dan budaya bagi kelangsungan hidup manusia.
Katarina Nofrianty Watu Dopo, Franki Yusuf Bisilisin, Benyamin Jago Belalawe   +2 more
core   +1 more source

Fashion Image Classification Using Deep Convolution Neural Network

, 2022
Part 1: Artificial Intelligence and Machine LearningInternational audienceWe present an analysis of optimal Convolution Neural Network (CNN) for fashion data classification by altering the layers of CNN in this paper.
Geetha, P., Saranya, M., S.
core   +1 more source

Modified particle swarm optimization (MPSO) optimized CNN’s hyperparameters for classification

IJAIN (International Journal of Advances in Intelligent Informatics)
This paper proposes a convolutional neural network architectural design approach using the modified particle swarm optimization (MPSO) algorithm. Adjusting hyper-parameters and searching for optimal network architecture from convolutional neural networks
Murinto Murinto, Sri Winiarti
doaj   +1 more source

Development of Deep Convolutional Neural Network with Adaptive Batch Normalization Algorithm for Bearing Fault Diagnosis

Shock and Vibration, 2020
It is crucial to carry out the fault diagnosis of rotating machinery by extracting the features that contain fault information. Many previous works using a deep convolutional neural network (CNN) have achieved excellent performance in finding fault ...
Chao Fu, Qing Lv, Hsiung-Cheng Lin
doaj   +1 more source

Accelerating Low Bit-Width Deep Convolution Neural Network in MRAM

, 2018
Deep Convolution Neural Network (CNN) has achieved outstanding performance in image recognition over large scale dataset. However, pursuit of higher inference accuracy leads to CNN architecture with deeper layers and denser connections, which inevitably ...
Deliang Fan, Shaahin Angizi, Fan, Deliang, He, Zhezhi, Angizi, Shaahin, Zhezhi He   +5 more
core   +1 more source

A low-cost neural sorting network with O(1) time complexity [PDF]

, 2011
[[abstract]]In this paper, we present an O(1) time neural network with O(n1 + var epsilon) neurons and links to sort n data, var epsilon > 0. For large-size problems, it is desirable to have low-cost hardware solutions.
Lin, Shun-Shii;Hsu, Shen-Hsuan
core  

A Method of Forecasting Thunderstorms and Gale Weather Based on Multisource Convolution Neural Network

IEEE Access, 2019
The local thunderstorms and gale weather occurring frequently has brought huge losses to the agriculture and transportation industries. This paper presents a method of forecasting the local thunderstorms and gale weather, in which a multisource ...
Yanping Jiang, Jinliang Yao, Zheng Qian
doaj   +1 more source

H. pylori Related Atrophic Gastritis Detection Using Enhanced Convolution Neural Network (CNN) Learner. [PDF]

Diagnostics (Basel), 2023
Yacob YM, Alquran H, Mustafa WA, Alsalatie M, Sakim HAM, Lola MS.   +5 more
europepmc   +1 more source