Results 21 to 30 of about 288,791 (262)
Short-Term Load Forecasting Model of Electric Vehicle Charging Load Based on MCCNN-TCN
Energies, 2022 The large fluctuations in charging loads of electric vehicles (EVs) make short-term forecasting challenging. In order to improve the short-term load forecasting performance of EV charging load, a corresponding model-based multi-channel convolutional ...
Jiaan Zhang, Chenyu Liu, Leijiao Ge
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Case Studies on Neural Networks for Recognition in Biometric Identity Problem [PDF]
International Journal Bioautomation, 2021 Hand-dorsa vein recognition using a convolutional neural network is presented. Our network contains five convolutional layers and three full connected layers, which have high recognition and more robust.
Zhengwen Shen +3 more
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CNN Explainer: Learning Convolutional Neural Networks with Interactive Visualization [PDF]
IEEE Transactions on Visualization and Computer Graphics, 2021 11 pages, 14 figures, to be presented at IEEE VIS 2020. For a demo video, see https://youtu.be/HnWIHWFbuUQ . For a live demo, visit https://poloclub.github.io/cnn-explainer/
Wang, Zijie J. +7 more
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Convolutional Neural Network (CNN): A comprehensive overview
International Journal of Multidisciplinary Research and Growth Evaluation, 2022 Convolutional neural network (CNN), a class of artificial neural network (ANN) is attracting interests of researchers in all research domain. CNN was invented for computer vision. They have also shown to be useful for semantic parsing, sentence modeling and other natural language processing related tasks. Here in this paper we discuss the basics of CNN
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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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Jurnal Saintekom, 2023 The increased use of laptops and smartphones during the COVID-19 pandemic has led to an increase in the number of people suffering from nearsightedness. Convolutional Neural Network (CNN) is a class of deep learning that is capable of recognizing images ...
Pramadika Egamo, Arief Hermawan
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Improved Convolutional Neural Image Recognition Algorithm based on LeNet-5
Journal of Computer Networks and Communications, 2022 Convolutional neural network (CNN) is a very important method in deep learning, which solves many complex pattern recognition problems. Fruitful results have been achieved in image recognition, speech recognition, and natural language processing ...
Lijie Zhou, Weihai Yu
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Pneumonia Detection using Convolutional Neural Network (CNN)
International Journal of Advanced Research in Science, Communication and Technology, 2023 Pneumonia Is A Dangerous And Sometimes Fatal Disease That Primarily Affects Older People. Early Diagnosis Of Pneumonia Is Key To Saving Many Lives. This Study Attempted To Identify And Classify Patients With Pneumonia Based On Chest X-Rays. The Diagnostics Above Were Performed Using A Convolutional Neural Network, Which Was Built From The Ground Up And
null Prof. Praveen Thummalakunta +4 more
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A convolutional neural network based deep learning methodology for recognition of partial discharge patterns from high voltage cables [PDF]
, 2019 It is a great challenge to differentiate partial discharge (PD) induced by different types of insulation defects in high-voltage cables. Some types of PD signals have very similar characteristics and are specifically difficult to differentiate, even for ...
Bhatti, Ashfaque Ahmed +11 more
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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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