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检索条件"任意字段=7th International Conference on Machine Learning and Soft Computing, ICMLSC 2023"
787 条 记 录,以下是11-20 订阅
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Deep learning Approach for Arrhythmia Detection Using STFT-Based Spectrogram  15th
Deep Learning Approach for Arrhythmia Detection Using STFT-B...
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15th international conference on soft computing and Pattern Recognition, SoCPaR 2023 and 14th World Congress on Nature and Biologically Inspired computing, NaBIC 2023
作者: Chopra, Shreya Sambyal, Nitigya Bajaj, Anu Thapar Institute of Engineering and Technology Patiala India
Arrhythmia is a medical condition where a patient experiences an irregular heartbeat. the presence of arrhythmia indicates a much more serious heart condition, which, if not treated, may worsen and even lead to death.... 详细信息
来源: 评论
WINS - CVMLH 2023 - Joint Proceedings of the Workshop on Intelligent Systems, WINS 2023 and the Workshop on Computer Vision and machine learning for Healthcare, CVMLH 2023, Co-located with CODD 100 - 7th international conference on computing Sciences, ICCS 2023
WINS - CVMLH 2023 - Joint Proceedings of the Workshop on Int...
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2023 Joint of the Workshop on Intelligent Systems, WINS 2023 and the Workshop on Computer Vision and machine learning for Healthcare, CVMLH 2023
the proceedings contain 10 papers. the topics discussed include: comparative analysis on enhanced image compression algorithms;military detection during close combat situations and border monitoring using adaptive cus...
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Interior Noise Optimization of Powertrain Induced Vibrations for an Electric Vehicle Using machine learning Methods
Interior Noise Optimization of Powertrain Induced Vibrations...
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7. internationale ATZ-Fachtagung Fahrzeugakustik - 7th international ATZ conference on Vehicle Acoustics, 2023
作者: Fiedler, Uwe Visser, René Kreissig, Volker CDH-AG Stuttgart Germany Mercedes-Benz AG Sindelfingen Germany
Numerical analysis plays a significant role in the development of passenger comfort in modern vehicles. Customer perception of quality and comfort is largely influenced by its vibro-acoustic properties. To develop wel... 详细信息
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Improved Multilayer Perceptron Neural Networks Weights and Biases Based on the Grasshopper optimization Algorithm to Predict Student Performance on Ambient learning  23
Improved Multilayer Perceptron Neural Networks Weights and B...
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7th international conference on machine learning and soft computing, icmlsc 2023
作者: Michira, Mercy K. Rimiru, Richard M. Mwangi, Waweru R. School of Computing and Information Technology Jomo Kenyatta University of Agriculture and Technology Kenya School of Computing and Information Jomo Kenyatta University of Agriculture and Technology Kenya
the classification accuracy of a multi-layer Perceptron Neural Networks depends on the selection of its parameters such the connection weights and biases. Generating an optimal value of these parameters requires a sui... 详细信息
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LDRC: Long-tail Distantly Supervised Relation Extraction via Contrastive learning  23
LDRC: Long-tail Distantly Supervised Relation Extraction via...
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7th international conference on machine learning and soft computing, icmlsc 2023
作者: Li, Tingwei Wang, Zhi Beijing University of Posts and Telecommunications Beijing China
Long-tail problem is one of the major challenges in distantly supervised relation extraction. Some recent works on the long-tail problem attempt to transfer knowledge from data-rich and semantically similar head class... 详细信息
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Prediction Interval Construction for Multivariate Point Forecasts Using Deep learning  7
Prediction Interval Construction for Multivariate Point Fore...
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7th international conference on soft computing and machine Intelligence (ISCMI)
作者: Mathonsi, thabang van Zyl, Terence L. Univ Witwatersrand Sch Comp Sci & Appl Math Johannesburg South Africa Univ Johannesburg Inst Intelligent Syst Johannesburg South Africa
It has been demonstrated that deep learning can in certain instances outperform traditional statistical methods at forecasting. this outperformance, however, does not address the challenge of quantifying forecast unce... 详细信息
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Research on License Plate Recognition Based on Deep learning in Complex Scenarios  23
Research on License Plate Recognition Based on Deep Learning...
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7th international conference on machine learning and soft computing, icmlsc 2023
作者: Tang, Yinqing Yu, Benguo Liu, Fengning Wang, Anran Hainan Medical University China
the license plate angle is unfixed, the vehicle position is ununiform, and the picture is not sufficiently illuminated which leads to the decrease of license plate recognition accuracy. In order to improve the accurac... 详细信息
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A Multiscale Approach to Detect the Semantics of Locomotion without Positioning Information  7
A Multiscale Approach to Detect the Semantics of Locomotion ...
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7th international conference on soft computing and machine Intelligence (ISCMI)
作者: Qu, Chen Yang, Jinxin Si, Guangwen Zhao, Yufei Zhao, Yiren Yang, Wen-Chi NeuHelium Co Ltd Comp Vis Lab Shanghai 200090 Peoples R China
the detection of locomotion patterns and trajectory semantics has long relied on the positioning information. however, positioning information can be unavailable in specific scenarios. In addition, the position values... 详细信息
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Comparative Analysis of Catastrophic Forgetting in Metric learning  7
Comparative Analysis of Catastrophic Forgetting in Metric Le...
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7th international conference on soft computing and machine Intelligence (ISCMI)
作者: Huo, Jiahao van Zyl, Terence L. Univ Witwatersrand Sch Comp Sci & Appl Math Johannesburg South Africa Univ Johannesburg Inst Intelligent Syst Johannesburg South Africa
Catastrophic forgetting in neural networks during incremental learning remains a challenging problem. Previous research investigated the catastrophic forgetting in fully connected networks with some earlier work explo... 详细信息
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A Traffic Sign Recognition Method Based on YOLOv5 Deep learning Algorithm  23
A Traffic Sign Recognition Method Based on YOLOv5 Deep Learn...
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7th international conference on machine learning and soft computing, icmlsc 2023
作者: Tang, Yinqing Yu, Benguo Wang, Anran Liu, Fengning Hainan Medical University China
Aiming at the problems of low accuracy and slow recognition efficiency of the traditional traffic sign recognition algorithm in complex environment, a deep learning traffic sign recognition method based on YOLOv5 is p... 详细信息
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