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5th International Conference on Medical Imaging and Computer Aided Diagnosis, MICAD 2024

作者： Dutta, Srinjan Roy, Jibesh Mandal, Diptarka Kaplun, Dmitrii Shpakovskaya, Irina Sarkar, Ram Department of Computer Science and Engineering Jalpaiguri Government Engineering College Jalpaiguri India School of Computer Engineering and Mathematical Sciences Defence Institute of Advanced Technology Pune India Artificial Intelligence Research Institute China University of Mining and Technology Xuzhou China Department of Automation and Control Process Saint Petersburg Electrotechnical University "LETI" Saint Petersburg Russia Department of Computer Science and Engineering Jadavpur University West Bengal Kolkata India I.P. Pavlov Saint Petersburg First State Medical University St. Petersburg Russia

ISBN: (纸本)9789819638628

Oral cancer remains a critical global health challenge, characterized by high morbidity and mortality due to late-stage diagnosis. This paper addresses the need for improved diagnostic accuracy by introducing a novel hybrid-attention aided deep learning model for oral cancer classification. Our approach integrates the EfficientNetB0 model for feature extraction with a customized hybrid attention module, combining self, spatial, and soft attention mechanisms to emphasize crucial features. The model has been trained and evaluated on both microscopic and macroscopic oral cancer datasets, demonstrating its generalizability. Our proposed model achieves an accuracy of 96.97% on a macroscopic dataset and 92% on a microscopic dataset, with respective F1-scores of 0.97 and 0.89, outperforming baseline models. This hybrid attention-aided deep learning model shows significant potential in improving early detection and treatment planning of oral cancer. Source code and additional results of this work can be found at the GitHub repository. © The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2025.

关键词： Contrastive Learning

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Impeller Position in a Magnetically Levitated Rotodynamic Blood Pump and Its Impact on In-Silico Hemocompatibility

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ASAIO Journal 2025年 2025 Apr 3页

作者： Grujic, Marko Schoefbeck, Rosmarie Thamsen, Bente Aigner, Philipp Röhrich, Michael Jakubek, Stefan Zimpfer, Daniel Granegger, Marcus Christian Doppler Laboratory for Mechanical Circulatory Support Department of Cardiac Surgery Medical University of Vienna Vienna Austria Department of Anaesthesia Intensive Care Medicine and Pain Medicine Medical University of Vienna Vienna Austria Division of Control and Process Automation Institute of Mechanics and Mechatronics Vienna University of Technology Vienna Austria

In magnetically levitated rotodynamic blood pumps (RPBs), the impeller position depends on a balance of electromagnetic and fluid dynamic forces. The aim of this study was to describe the impeller position of the HeartMate 3 over a wide range of operating conditions and assess its potential impact on hemocompatibility. Three-dimensional impeller positions were measured using a transparent HeartMate 3 pump casing, laser distance measurements, and a high-speed camera. Accompanying computational fluid dynamic (CFD) hemocompatibility predictions of a displaced and centered impeller at a typical operating point were compared. Impeller positions vary substantially with different operating points with a maximum axial displacement of 223 µm at 7 L/min and 7,000 rpm and a maximum radial displacement of 145 µm at 0 L/min and 7,000 rpm. In CFD, a displaced impeller had only a minor influence on global pump parameters ( © ASAIO 2025.

关键词： Computational fluid dynamics

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The Use of Virtual Interactive Stands in the Educational process in Higher Education

The Use of Virtual Interactive Stands in the Educational Pro...

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Technology Enhanced Learning in Higher Education (TELE), International Conference on

作者： Shakhnoza Ubaydullayeva Zarina Gulyamova Gavhar Tadjiyeva Nilufar Kadirova Ugiloy Kusanova Department “Automation and control of technology process “«Tashkent institute of irrigation and agricultural mechanization engineers» National Research University Tashkent Uzbekistan Department of theory and methodology of teaching English language Tashkent State Pedagogical University named after Nizami Tashkent Uzbekistan

ISBN: (数字)9798350353532

ISBN: (纸本)9798350353549

Information and communication technologies have become an integral part of modern society in Uzbekistan, as they are used in all spheres of human life: economic, political and social. Uzbekistan is one of the countries where digital technologies are rapidly developing, because of which significant results have been achieved in education. The expansion of distance education will improve the quality of education, because more students who live in rural areas are covered. This will allow you to receive high-quality content (video, audio, and platform); use the most up-to-date technologies and solutions: online services for the educational process, gamification, a virtual library, online proctoring and practical online classes. Interactive learning is a learning process using information and communication technologies. Although distance learning is not a substitute for university attendance, it is an excellent learning tool for consolidating knowledge and obtaining additional facts and information. Sometimes homework is not enough for proper understanding and assimilation of educational material. Proper understanding of information is useful for practical subjects. The Internet provides a wide range of such additional features. Interactive stands enhance both general and professional knowledge; have a motivating effect on learning in a playful way. The National Research University in Uzbekistan, together with the teachers of the Tashkent State Pedagogical University, is actively working on the introduction of virtual interactive educational stands into the educational process, including distance education. The computer program provides for the implementation of training lessons in the section “Logical foundations of computing systems”, namely “Representation of functions of the algebra of logic”, “Minimization of logical functions by the Veitch diagram method”, “Minimization of logical functions by the Quine method”

关键词： Training Education Tutorials Minimization Reflection Libraries Information and communication technology

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Dual-Channel Wind Power Forecasting Model Using Squeeze and Excitation Network

Dual-Channel Wind Power Forecasting Model Using Squeeze and ...

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Smart Power & Internet Energy Systems (SPIES), International Conference on

作者： Haonan Li Bozhen Jiang Zhengyang Ma Hua Geng Yi Liu Institute of Process Equipment and Control Engineering Zhejiang University of Technology Hangzhou China Department of Automation Tsinghua University Beijing China

Accurate wind power forecasting plays an increasingly important role in the field of wind power forecasting but still intractable in practice. In order to improve the accuracy of wind power forecasting, a novel model based on squeeze and excitation network (SENet) embedded in a dual-channel is proposed. The dual-channel mechanism integrates convolutional neural network and gated recurrent unit, both of which can be used without interfering with each other. SENet can increase the attention of each important features, thus improving the network efficiency. Compared with a single model, the proposed model has better feature extraction performance with the root mean square error of 29.9. The test results of wind power data based on Kaggle platform show that the proposed method outperforms several deep learning forecasting methods.

关键词： Neural networks Wind power generation Predictive models Logic gates Feature extraction Internet Convolutional neural networks

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A Koopman Operator-Based Finite Impulse Response Filter for Nonlinear Systems

A Koopman Operator-Based Finite Impulse Response Filter for ...

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IEEE Conference on Decision and control

作者： Zhichao Pan Biao Huang Fei Liu Key Laboratory of Advanced Process Control for Light Industry (Ministry of Education) Institute of Automation Jiangnan University Wuxi China department of chemical and materials engineering University of Alberta Edmonton Alberta Canada

This paper proposes a novel Koopman operator-based finite impulse response (KFIR) filter for nonlinear dynamic systems. This filter is generalized from the minimum variance unbiased (MVU) FIR filter for linear systems by using a global linear approximation of the nonlinear dynamics obtained from Koopman operator theory and the extended dynamic mode decomposition (EDMD) algorithm. Based on the recursive linear model, a reduced-order FIR filtering structure is proposed, and the optimal gain is derived to minimize the trace of the estimation error covariance. Unlike traditional methods, the KFIR filter requires no prior knowledge of the initial state and fully utilizes the data of a moving horizon. Simulation results show that the proposed filter has excellent robustness against unexpected modeling uncertainties and inaccurate noise information, making it suitable for real applications.

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Multimodal Decoupling of Stationarity and Nonstationarity with Deep Cascaded Architecture for Varying-Condition process Monitoring

Multimodal Decoupling of Stationarity and Nonstationarity wi...

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第34届中国过程控制会议

作者： Pengyu Song Chunhui Zhao Jinliang Ding Furong Gao College of Control Science and Engineering Zhejiang University State Key Laboratory of Synthetical Automation for Process Industries Northeastern University Department of Chemical and Biological Engineering Hong Kong University of Science and Technology

Nonstationarity,i.e.,the time-varying property of the data distribution,is a typical process characteristic caused by operating condition switching,which can conceal stationarity describing time-invariant process mechanisms and thus bring challenges for explicit process *** achieve full decoupling of stationarity and nonstationarity,this study reveals the following facts:1) the coupling between stationarity and nonstationarity is not uniform but can present time-varying modes,defined as multimodal coupling here;2) diverse coupling modes possess intrinsic association since they essentially stem from definite nonstationary driving forces,namely changeable operating ***,this study proposes a multimodal decoupling representation method for learning explicit representations of stationarity and ***,to capture the basic coupling mode caused by nonstationary driving forces,an information refinement module(IRM) is designed in which a shortcut connection is incorporated into the auto-encoding *** the deep cascading of multiple IRMs,multimodal coupling modes can be fully ***,a compatibility learning algorithm is developed,which can balance the stationarity and reconstruction requirements to form a stationary feature learning module(SFLM).With compatibility learning,IRMs can be induced to capture and filter out nonstationarity and output stationary refined information for *** this way,multimodal decoupling of stationarity and nonstationarity can be fully *** effectiveness of the proposed method is illustrated through a numerical example and an actual industrial process.

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A novel strategy to solve communication constraints for formation control of multi-AUVs

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Science China(Information Sciences) 2021年第7期64卷 253-255页

作者： Zhenyu GAO Ge GUO Department of Automation Dalian Maritime University School of Control Engineering Northeastern University Qinhuangdao Key Laboratory of Synthetical Automation for Process Industries Northeastern University

Dear editor,Interest in terms of research on formation control of multiple autonomous underwater vehicles (multi-AUVs) has gained considerable attention in recent years [1–5], owing to its extensive applications in d... 详细信息

关键词： Information Systems and Communication Service

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Exploring photon blockade in a two-photon Jaynes-Cummings model with atom and cavity drivings

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Physical Review A 2024年第4期110卷 043707页

作者： Hai-Ji Li Li-Bao Fan Shan Ma Jie-Qiao Liao Chuan-Cun Shu Hunan Key Laboratory of Nanophotonics and Devices Hunan Key Laboratory of Super-Microstructure and Ultrafast Process and School of Physics School of Automation Key Laboratory of Low-Dimensional Quantum Structures and Quantum Control of Ministry of Education Key Laboratory for Matter Microstructure and Function of Hunan Province Department of Physics and Synergetic Innovation Center for Quantum Effects and Applications

We explore a method for achieving photon blockade (PB) through a two-photon Jaynes-Cummings (JC) model that includes both cavity and atom drivings. Analytical expressions for the steady state are derived to calculate photon-number distribution and correlation functions. Based on this analysis, we establish the theoretical conditions required for generating PB by controlling both drivings and propose a scheme to identify conventional photon blockade (CPB) and unconventional photon blockade (UPB) by analyzing the second- and third-order correlation functions. We validate our findings through numerical simulations conducted in an artificial atom system. We discuss two cases, one in which the transition frequency of the two-level atom is in two-photon resonance with the cavity frequency and the other in which it is off-resonance. We observe a significant interplay between CPB and UPB effects in the resonant case. In the off-resonance case, we demonstrate that UPB can be achieved by manipulating the strengths of atom driving and cavity driving to satisfy a specific relationship while meeting the requirements for optimal detuning relations. This work provides essential insights into controlling the PB effect using the two-photon JC model with both the atom and cavity drivings.

关键词： Quantum control Quantum optics Single photon sources

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LBM modeling of three-dimensional mixed convection in CZ crystal growth on curvilinear coordinates system

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Results in Physics 2024年 61卷

作者： Zhang, Ni Liu, Ding The Department of Automation Xi'an Key Laboratory of Advanced Control and Intelligent Process Xi'an University of Posts and Telecommunications Xi'an 710121 China The Shaanxi Key Laboratory of Complex System Control and Intelligent of Information Processing Xi'an University of Technology Xi'an 710048 China

A three-dimensional (3D) thermal lattice Boltzmann model of crystal growth is presented to study the magneto-hydrodynamics (MHD) mixed convection in the melt of Czochralski silicon single crystal growth in this paper. In order to solve the problem of lattice Boltzmann method's difficulty in solving the flow of 3D cylindrical cavity, the 3D physical model of crystal growth is transformed from the Cartesian coordinate system to the Curvilinear coordinate system. And the irregular grids in the Cartesian coordinate system are transformed into regular grids in the Curvilinear coordinate system to facilitate the establishment of the Lattice Boltzmann model. Under the above operations, two coupled distribution functions are established to solve the governing equations. Two D3Q19 models are adopted to solve the melt velocity and temperature. And the 3D lattice Boltzmann modeling of crystal growth with cylinder boundary is realized by interpolation in Curvilinear coordinate system. The comparison with the experiment and other references proves that the proposed model and boundary treatment scheme is correct and it proposes a new way for studying the 3D crystal growth or other similar 3D cylindrical cavity simulations. Furthermore, the unstable melt flow for two cases are also simulated in this paper and the critical Reynolds number are also obtained. Results show that the introduction of the transverse magnetic field enhances the stability of the crystal growth system and increases the adjustable range of crystal rotation parameter. The obtained conclusion has an important reference for adjusting the process parameters during the CZ crystal growth. © 2024 The Author(s)

关键词： 3D mixed convection Computer simulation Heat transfer Lattice Boltzmann Method Silicon single crystal growth

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Sparse Causality Analysis Approach with Time-varying Parameters for Root Cause Localization of Nonstationary process 4

Sparse Causality Analysis Approach with Time-varying Paramet...

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4th International Conference on Industrial Artificial Intelligence, IAI 2022

作者： Song, Pengyu Zhao, Chunhui Huang, Biao Ding, Jinliang College of Control Science and Engineering Zhejiang University State Key Laboratory of Industrial Control Technology Hangzhou310027 China University of Alberta Department of Chemical and Materials Engineering EdmontonABT6G 2G6 Canada Northeastern University State Key Laboratory of Synthetical Automation for Process Industries Shenyang110819 China

ISBN: (数字)9781665451208

ISBN: (纸本)9781665451208

Root cause diagnosis (RCD) is an important technique for maintaining the safe operation of industrial processes. Traditional RCD methods usually require stationarity assumptions. However, the process inevitably shows nonstationarity due to factors such as switching of operating conditions. Although there have been some previous studies trying to overcome the challenge of nonstationarity, these methods fail to guarantee the significance of the extracted causalities and lead to redundant relationships. To address the above issues, a sparse causal analysis model with time-varying parameters is extracted in this study. First, we propose an end-to-end information fusion and prediction task to characterize predictive relationships between variables and avoid repeated modeling. Second, we design time-varying parameters for the information fusion mechanism to cope with nonstationarity and automatically identify significant causality through sparse parameter updates. We design an update strategy that constrains the gradient information to guarantee sparsity. Finally, a causal metric is constructed for the time-varying predictive relationship to comprehensively obtain the overall causal relationship, which further guarantees causal significance. The validity of the proposed method is illustrated through a real industrial example collected from a thermal power plant. © 2022 IEEE.

关键词： Information fusion

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