Results 11 to 20 of about 5,285,158 (212)

ODPA-CNN: One Dimensional Parallel Atrous Convolution Neural Network for Band-Selective Hyperspectral Image Classification

Applied Sciences, 2021
Recently, hyperspectral image (HSI) classification using deep learning has been actively studied using 2D and 3D convolution neural networks (CNN). However, they learn spatial information as well as spectral information.
Byungjin Kang, Inho Park, Changmin Ok, Sungho Kim   +3 more
doaj   +2 more sources

Broad Phonetic Classification of ASR using Visual Based Features [PDF]

The Egyptian Journal of Language Engineering, 2020
: This paper presents a novel method of classifying speech phonemes. Four hybrid techniques based on the acoustic-phonetic approach and pattern recognition approach are used to emphasize the principle idea of this research.
Doaa Lehabik, Mohamed Merzban, Sameh Saad, Amr Gody   +3 more
doaj   +1 more source

DK-CNNs: Dynamic kernel convolutional neural networks [PDF]

Neurocomputing, 2021
This paper introduces dynamic kernel convolutional neural networks (DK-CNNs), an enhanced type of CNN, by performing line-by-line scanning regular convolution to generate a latent dimension of kernel weights. The proposed DK-CNN applies regular convolution to the DK weights, which rely on a latent variable, and discretizes the space of the latent ...
Liu, Jialin, Chao, Fei, Lin, Chih-Min, Zhou, Changle, Shang, Changjing   +4 more
openaire   +3 more sources

Weather Classification using Fusion Of Convolutional Neural Networks and Traditional Classification Methods [PDF]

International Journal of Intelligent Computing and Information Sciences, 2022
— The weather phenomenon is very important in routine lives. The weather prediction, road electronic monitoring, traffic communication, capping inversion (CAP), afforestation, and the adjustment of the environmental issues are important factors to many ...
Howaida Shedeed, Hala Moushier, Mohamed Tolba, Moshira Ghaleb   +3 more
doaj   +1 more source

Artificial Neural Network algorithm for image Compression and Edge Detection

Journal of Kufa for Mathematics and Computer, 2021
In recent years, detection of things measured in the PASCAL VOC dataset has stabilized. Low-level image features and high-level context. There are many ways to perform complex grouping systems that combine image features in this work.
Asma Asma Abdulelah Abdulrahman, Fouad Shaker Tahir Al-azawi   +1 more
doaj   +1 more source

Convolutional neural networks (CNNs): concepts and applications in pharmacogenomics [PDF]

Molecular Diversity, 2021
AbstractConvolutional neural networks (CNNs) have been used to extract information from various datasets of different dimensions. This approach has led to accurate interpretations in several subfields of biological research, like pharmacogenomics, addressing issues previously faced by other computational methods.
Vaz, Joel Markus, Balaji, S.
openaire   +2 more sources

Remaining Useful Life Prediction of Rolling Bearings Based on Multiscale Convolutional Neural Network with Integrated Dilated Convolution Blocks

Shock and Vibration, 2021
Remaining useful life (RUL) prediction is necessary for guaranteeing machinery’s safe operation. Among deep learning architectures, convolutional neural network (CNN) has shown achievements in RUL prediction because of its strong ability in ...
Ran Wang, Ruyu Shi, Xiong Hu, Changqing Shen   +3 more
doaj   +1 more source

IMPROVING FEATURE MAPS IN EARLY LAYERS OF CONVOLUTIONAL NEURAL NETWORKS USING OTSU METHOD [PDF]

International Journal of Intelligent Computing and Information Sciences, 2016
: A novel deep architecture Thresholding Convolution Neural Network (ThCNN) progresses in this paper; Which is a simple and effective method to regularizing features map in the early layers of Convolution Neural Network(CNN). One of the issues identified
Taher Hamza, M AL-dosuky, A Al-furas
doaj   +1 more source

Transposed Convolution as Alternative Preprocessor for Brain-Computer Interface Using Electroencephalogram

Applied Sciences, 2023
The implementation of a brain–computer interface (BCI) using electroencephalography typically entails two phases: feature extraction and classification utilizing a classifier. Consequently, there are numerous disordered combinations of feature extraction
Kenshi Machida, Isao Nambu, Yasuhiro Wada   +2 more
doaj   +1 more source

Lightweight Convolutional Neural Network Architecture for Mobile Platforms [PDF]

Jisuanji gongcheng, 2019
For the problem that the deep neural network has low accuracy and over-fitting on the mobile platforms,a lightweight Convolutional Neural Network(CNN) architecture is proposed.The 3×3 depthwise separable convolution replaces the standard 3× ...
HU Ting,ZHU Yongxin,TIAN Li,FENG Songlin,WANG Hui
doaj   +1 more source