CROSS-ENTROPY

作品数：14被引量：54H指数：3
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相关作者：周建军王韬更多>>
相关机构：华中科技大学合肥大学更多>>
相关期刊：《Digital Chinese Medicine》《Journal of Systems Science and Systems Engineering》《Computer Modeling in Engineering & Sciences》《Computers, Materials & Continua》更多>>
相关基金：国家自然科学基金国家教育部博士点基金中国博士后科学基金更多>>
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Fusion of Region Extraction and Cross-Entropy SVM Models for Wheat Rust Diseases Classification
《Computers, Materials & Continua》2023年第11期2097-2121,共25页Deepak Kumar Vinay Kukreja Ayush Dogra Bhawna Goyal Talal Taha Ali 
Wheat rust diseases are one of the major types of fungal diseases that cause substantial yield quality losses of 15%–20%every year.The wheat rust diseases are identified either through experienced evaluators or compu...
关键词：Wheat rust diseases AGRICULTURAL region extraction models INTERCROPPING image processing feature extraction precision agriculture 
Image Color Rendering Based on Hinge-Cross-Entropy GAN in Internet of Medical Things
《Computer Modeling in Engineering & Sciences》2023年第4期779-794,共16页Hong’an Li Min Zhang Dufeng Chen Jing Zhang Meng Yang Zhanli Li 
Foundation of China(No.61902311)funding for this study;supported in part by the Natural Science Foundation of Shaanxi Province in China under Grants 2022JM-508,2022JM-317 and 2019JM-162.
Computer-aided diagnosis based on image color rendering promotes medical image analysis and doctor-patient communication by highlighting important information of medical diagnosis.To overcome the limitations of the co...
关键词：Internet of Medical Things medical image analysis image color rendering loss function self-attention generative adversarial networks 
Intelligent identification method and application of seismic faults based on a balanced classification network
《Applied Geophysics》2022年第2期209-220,307,共13页Yang Jing Ding Ren-Wei Wang Hui-Yong Lin Nian-Tian Zhao Li-Hong Zhao Shuo Zhang Yu-Jie 
supported by the Natural Science Foundation of Shandong Province(ZR202103050722).
This study combined fault identification with a deep learning algorithm and applied a convolutional neural network(CNN)design based on an improved balanced crossentropy(BCE)loss function to address the low accuracy in...
关键词：convolutional neural network seismic fault identification balanced cross-entropy loss function feature map 
Application of Weighted Cross-Entropy Loss Function in Intrusion Detection被引量：2
《Journal of Computer and Communications》2021年第11期1-21,共21页Ziyun Zhou Hong Huang Binhao Fang 
The deep learning model is overfitted and the accuracy of the test set is reduced when the deep learning model is trained in the network intrusion detection parameters, due to the traditional loss function convergence...
关键词：Cross-Entropy Loss Function Visualization Analysis Intrusion Detection KDD Data Set ACCURACY 
Catalyzing Random Access at Physical Layer for Internet of Things:An Intelligence Enabled User Signature Code Acquisition Approach被引量：1
《China Communications》2021年第10期181-192,共12页Xiaojie Fang Xinyu Yin Xuejun Sha Jinghui Qiu Hongli Zhang 
supported in part by Natural Science Foundation of Heilongjiang Province of China under Grant YQ2021F003;in part by the National Natural Science Foundation of China under Grant 61901140;in part by China Postdoctoral Science Foundation Funded Project under Grant 2019M650067;in part by Science and Technology on Communication Networks Laboratory under Grant SCX21641X003。
Exploiting random access for the underlying connectivity provisioning has great potential to incorporate massive machine-type communication(MTC)devices in an Internet of Things(Io T)network.However,massive access atte...
关键词：Internet of Things(IoT) artificial intelligence physical layer CROSS-ENTROPY random access 
A Non-intrusive Correction Algorithm for Classification Problems with Corrupted Data
《Communications on Applied Mathematics and Computation》2021年第2期337-356,共20页Jun Hou Tong Qin Kailiang Wu Dongbin Xiu 
A novel correction algorithm is proposed for multi-class classification problems with corrupted training data.The algorithm is non-intrusive,in the sense that it post-processes a trained classification model by adding...
关键词：Data corruption Deep neural network CROSS-ENTROPY Label corruption Robust loss 
Research on classification diagnosis model of psoriasis based on deep residual被引量：1
《Digital Chinese Medicine》2021年第2期92-101,共10页LI Peng YI Na DING Changsong LI Sheng MIN Hui 
We thank for the funding support from the Key Research and Development Plan of China(No.2017YFC1703306);Youth Project of Natural Science Foundation of Hunan Province(No.2019JJ50453);Project of Hunan Health Commission(No.202112072217);Open Fund Project of Hunan University of Traditional Chinese Medicine(No.2018JK02);General Project of Education Department of Hunan Province(No.19C1318).
Objective A classification and diagnosis model for psoriasis based on deep residual network is proposed in this paper.Which using deep learning technology to classify and diagnose psoriasis can help reduce the burden ...
关键词：PSORIASIS Deep residual network Data enhancement CROSS-ENTROPY Adam algorithm RECALL 
Cross-Entropy Loss for Recommending Efficient Fold-Over Technique被引量：1
《Journal of Systems Science & Complexity》2021年第1期402-439,共38页WENG Lin-Chen ELSAWAH A M FANG Kai-Tai 
supported by the Beijing Normal University-Hong Kong Baptist University United International College under Grant Nos.R201810,R201912 and R202010;the Zhuhai Premier Discipline Grant。
Due to the limited resources and budgets in many real-life projects, it is unaffordable to use full factorial experimental designs and thus fractional factorial(FF) designs are used instead. The aliasing of factorial ...
关键词：ABERRATION CONFOUNDING CROSS-ENTROPY dictionary ordering fold-over Hamming distance loss function uniformity 
Long-term adaptive informative path planning for scalar field monitoring using cross-entropy optimization被引量：3
《Science China(Information Sciences)》2019年第5期26-28,共3页Yang LI Rongxin CUI Weisheng YAN Demin XU 
supported by National Natural Science Foundation of China (Grant Nos. U1813225, 61472325, 61733014, 51579210);Science, Technology and Innovation Commission of Shenzhen Municipality (Grant No. JCYJ20170817145216803)
Dear editor,Robots are extensively used in various civil and military applications (1, 2)In the last decade, informative path planning (IPP) has been one of the most important research areas in modern robot engineerin...
关键词：LONG-TERM ADAPTIVE INFORMATIVE path planning for scalar field MONITORING using CROSS-ENTROPY OPTIMIZATION exp length 
Cross-Entropy Minimization Estimation for Two-Phase Sampling and Non-Response
《Journal of Systems Science & Complexity》2015年第2期489-503,共15页WU Changchun TANG Linjun ZHANG Shangli 
supported by the National Natural Science Foundation of China under Grant No.61070236
This paper considers the problem of estimating the finite population total in two-phase sampling when some information on auxiliary variable is available. The authors employ an informationtheoretic approach which make...
关键词：Auxiliary information cross-entropy minimization estimation finite population NONRESPONSE two-phase sampling. 
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