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Detection of Oscillations in Process Control Loops From Visual Image Space Using Deep Convolutional Networks被引量：2
《IEEE/CAA Journal of Automatica Sinica》2024年第4期982-995,共14页Tao Wang Qiming Chen Xun Lang Lei Xie Peng Li Hongye Su 
the National Natural Science Foundation of China(62003298,62163036);the Major Project of Science and Technology of Yunnan Province(202202AD080005,202202AH080009);the Yunnan University Professional Degree Graduate Practice Innovation Fund Project(ZC-22222770)。
Oscillation detection has been a hot research topic in industries due to the high incidence of oscillation loops and their negative impact on plant profitability.Although numerous automatic detection techniques have b...
关键词：Convolutional neural networks(CNNs) deep learning image processing oscillation detection process industries 
Meta Ordinal Regression Forest for Medical Image Classification With Ordinal Labels被引量：2
《IEEE/CAA Journal of Automatica Sinica》2022年第7期1233-1247,共15页Yiming Lei Haiping Zhu Junping Zhang Hongming Shan 
This work was supported in part by the Natural Science Foundation of Shanghai(21ZR1403600);the National Natural Science Foundation of China(62176059);Shanghai Municipal Science and Technology Major Project(2018SHZDZX01);Zhang Jiang Laboratory,Shanghai Sailing Program(21YF1402800);Shanghai Municipal of Science and Technology Project(20JC1419500);Shanghai Center for Brain Science and Brain-inspired Technology.
The performance of medical image classification has been enhanced by deep convolutional neural networks(CNNs),which are typically trained with cross-entropy(CE)loss.However,when the label presents an intrinsic ordinal...
关键词：Terms-Convolutional neural network(CNNs) medical image classification META-LEARNING ordinal regression random forest 
Scribble-Supervised Video Object Segmentation被引量：3
《IEEE/CAA Journal of Automatica Sinica》2022年第2期339-353,共15页Peiliang Huang Junwei Han Nian Liu Jun Ren Dingwen Zhang 
supported in part by the National Key R&D Program of China(2017YFB0502904);the National Science Foundation of China(61876140)。
Recently,video object segmentation has received great attention in the computer vision community.Most of the existing methods heavily rely on the pixel-wise human annotations,which are expensive and time-consuming to ...
关键词：Convolutional neural networks(CNNs) SCRIBBLE self-attention video object segmentation weakly supervised 
Automatic Detection of COVID-19 Infection Using Chest X-Ray Images Through Transfer Learning被引量：12
《IEEE/CAA Journal of Automatica Sinica》2021年第1期239-248,共10页Elene Firmeza Ohata Gabriel Maia Bezerra João Victor Souza das Chagas Aloísio Vieira Lira Neto Adriano Bessa Albuquerque Victor Hugo Cde Albuquerque Pedro Pedrosa Rebouças Filho 
supported in part by the Coordenacao de Aperfeicoamento de Pessoal de Nível Superior-Brasil(CAPES)(001);the Brazilian National Council for Research and Development(CNPq)(431709/2018-1,311973/2018-3,304315/2017-6,430274/2018-1)。
The new coronavirus(COVID-19),declared by the World Health Organization as a pandemic,has infected more than 1 million people and killed more than 50 thousand.An infection caused by COVID-19 can develop into pneumonia...
关键词：Convolutional neural networks(CNNs) COVID-19 transfer learning X-RAY 
Deep Learning and Time Series-to-Image Encoding for Financial Forecasting被引量：9
《IEEE/CAA Journal of Automatica Sinica》2020年第3期683-692,共10页Silvio Barra Salvatore Mario Carta Andrea Corriga Alessandro Sebastian Podda Diego Reforgiato Recupero 
supported by the“Bando Aiuti per progetti di Ricerca e Sviluppo-POR FESR 2014-2020-Asse 1,Azione 1.1.3.Project AlmostAnOracle-AI and Big Data Algorithms for Financial Time Series Forecasting”。
In the last decade,market financial forecasting has attracted high interests amongst the researchers in pattern recognition.Usually,the data used for analysing the market,and then gamble on its future trend,are provid...
关键词：Convolutional neural networks(CNNs) ENSEMBLE of CNNS FINANCIAL forecasting Gramian ANGULAR fields(GAF)imaging 
Deep Scalogram Representations for Acoustic Scene Classification被引量：5
《IEEE/CAA Journal of Automatica Sinica》2018年第3期662-669,共8页Zhao Ren Kun Qian Zixing Zhang Vedhas Pandit Alice Baird Bjorn Schuller 
supported by the German National BMBF IKT2020-Grant(16SV7213)(EmotAsS);the European-Unions Horizon 2020 Research and Innovation Programme(688835)(DE-ENIGMA);the China Scholarship Council(CSC)
Spectrogram representations of acoustic scenes have achieved competitive performance for acoustic scene classification. Yet, the spectrogram alone does not take into account a substantial amount of time-frequency info...
关键词：Acoustic scene classification(ASC) (bidirectional) gated recurrent neural networks((B) GRNNs) convolutional neural networks(CNNs) deep scalogram representation spectrogram representation 
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