Results 1 to 10 of about 42,190 (170)
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 +3 more
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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 +4 more
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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 +3 more
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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.
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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 +1 more
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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 +3 more
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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
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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 +2 more
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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
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Audio Signal Extraction and Enhancement Based on CNN From Laser Speckles
IEEE Photonics Journal, 2022 A micro vibration signal extraction method based on deep neural network is proposed. Rough surface of vibrating object modulates the illuminating laser wave front and generates speckle pattern, which is recorded by a linear array CMOS and preprocessed ...
Chang Liu +4 more
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