Results 41 to 50 of about 42,190 (170)
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2020 Convolutional neural networks (CNN) have led to a successful breakthrough for hyperspectral image classification (HSIC). Due to the intrinsic spatial-spectral specificities of a hyperspectral cube, feature extraction with 3-D convolution operation is a ...
Chunyan Yu +4 more
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System design and hardware realization of convolution neural network system in deep learning
Dianzi Jishu Yingyong, 2018 In this paper, a deep convolution neural network system is designed and implemented by FPGA hardware platform for the problem that the convolution neural network(CNN) in deep learning is slow and time consuming under the CPU platform. The system uses the
Wang Kun, Zhou Hua
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A New ECT Image Ｒeconstruction Algorithm Based on Convolutional Neural Network
Journal of Harbin University of Science and Technology, 2017 In response to the problem of image reconstruction in electrical capacitance tomography ( ECT) technology，the feasibility of applying convolutional neural network ( called CNN) to ECT image reconstruction is studied. On the basis of in-depth research for
LI Lan-ying, KONG Yin, CHEN De-yun
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Multi-level residual network VGGNet for fish species classification
Journal of King Saud University: Computer and Information Sciences, 2022 The development of an image-based fish classification system using Convolutional Neural Network (CNN) has the advantages of no longer directly conducting features extraction and several features analysis.
Eko Prasetyo +2 more
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Peanut kernel integrity detection based on deep learning convolution neural network
Shipin yu jixie, 2022 Objective: To accurately distinguish intact peanut, nut damaged peanut and epidermis damaged peanut. Methods: A peanut seed integrity detection scheme based on deep learning convolution neural network （CNN） was proposed.
ZHANG Jun-feng, SHANG Zhan-lei
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การวิเคราะห์การมีส่วนร่วมของนักเรียนในห้องเรียนออนไลน์ โดยใช้ Convolutional Neural Networks (CNN)
วารสารงานวิจัยและพัฒนาเชิงประยุกต์ โดยสมาคม ECTI, 2023 การระบาดของเชื้อไวรัสโคโรนา (COVID-19) ส่งผลกระทบในภาคการศึกษา เช่น การเรียนจาก ห้องเรียนปกติสู่ห้องเรียนออนไลน์ ทำให้การติดตามการมีส่วนร่วมในห้องเรียนออนไลน์เป็นไปด้วยความ ยากลำบาก นอกจากจะส่งผลต่อประสิทธิภาพของผู้เรียนแล้ว กรณีที่ร้ายแรงที่สุดที่อาจจะเกิดขึ้นคือการ หลุดจากการศึกษาของผู้เรียน เพื่อให้ผู้สอนได้ทราบถึงการมีส่วนร่วมของผู้เรียนและสามารถปรั
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CNN-MGP: Convolutional Neural Networks for Metagenomics Gene Prediction [PDF]
Interdisciplinary Sciences: Computational Life Sciences, 2018 Accurate gene prediction in metagenomics fragments is a computationally challenging task due to the short-read length, incomplete, and fragmented nature of the data. Most gene-prediction programs are based on extracting a large number of features and then applying statistical approaches or supervised classification approaches to predict genes.
Amani Al-Ajlan, Achraf El Allali
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Image classification model based on spark and CNN
MATEC Web of Conferences, 2018 Convolution neural network is a commonly used image classification model, but when the network nodes of the training process are too many, it will have a great influence on the training complexity.
Xu Jiangfeng, Ma Shenyue
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B-CNN: Branch Convolutional Neural Network for Hierarchical Classification
CoRR, 2017 9 pages, 8 ...
Xinqi Zhu, Michael Bain 0001
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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 +4 more
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