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Transforming Healthcare Diagnostics With Tensorized Attention and Continual Learning on Multi-Modal Data

IEEE Transactions on Consumer Electronics 2025年

作者： Iqbal, Saeed Zhong, Xiaopin Khan, Muhammad Attique Shabaz, Mohammad Wu, Zongze AlHammadi, Dina Abdulaziz Liu, Weixiang Algamdi, Shabbab Ali Li, Yang Shenzhen University College of Mechatronics and Control Engineering Shenzhen518060 China Prince Mohammad Bin Fahd University Department of AI Alkhobar Saudi Arabia Model Institute of Engineering and Technology J and K Jammu India Princess Nourah bint Abdulrahman University College of Computer and Information Sciences Department of Information Systems Riyadh11671 Saudi Arabia Prince Sattam bin Abdulaziz University College of Computer Science and Engineering Department of Software Engineering Al Kharj Saudi Arabia Shihezi University College of Mechanical and Electrical Engineering Shihezi832003 China

Analyzing multi-modal medical data in the setting of uncertain healthcare situations continues to be a major topic in medical image analysis and healthcare big data. Traditional machine learning algorithms are severely hampered by inaccurate data fusion, a lack of adaptability to changing patient data, and challenges managing uncertainty. These difficulties are made worse by complicated medical images and diverse data sources, which results in less accurate diagnosis and worse-than-ideal healthcare choices. To tackle these urgent problems, this paper suggests two new approaches: Continual Learning using Progressive Neural Networks (PNNs) and Tensorized Attention Mechanism for Data Fusion. The Tensorized Attention Mechanism improves multi-modal data fusion by using dynamic, task-specific attention to improve feature alignment across modalities, and the PNNs framework uses continual learning, memory augmentation, and domain adaptation to ensure robust learning under data uncertainty. We test these methods on a variety of multi-modal datasets, such as MIMIC-IV, CheXpert, MOST, OAI, and Heart Murmur, which offer a comprehensive representation of medical data from clinical reports, chest X-rays, heart murmurs, and other heterogeneous data sources. Our experimental results show notable improvements in diagnostic performance, with notable results like a CFI of 0.10, a KR score of 90.4%, and an MMC score of 0.097, indicating superior generalization and robustness across domains. Healthcare AI applications could be revolutionized by the use of specialized losses, such as Conditional Variational Autoencoder (CVAE), Adversarial Contrastive Learning (ACL), Reciprocal Regularization, and domain adaptation losses, which are essential for preventing forgetting and guaranteeing learning stability across shifting data streams. © 1975-2011 IEEE.

关键词： Sensor data fusion

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Mass Transfer in Microporous Layers for Polymer Electrolyte Fuel Cells Analyzed with Pore Network Modeling 240

Mass Transfer in Microporous Layers for Polymer Electrolyte ...

引用

240th ECS Meeting

作者： Nakajima, Hironori Iwasaki, Shintaro Kitahara, Tatsumi Department of Mechanical Engineering Faculty of Engineering 744 MotookaFukuoka Nishi-ku819-0395 Japan Department of Hydrogen Energy Systems Graduate School of Engineering Kyushu University 744 MotookaFukuoka Nishi-ku819-0395 Japan

ISBN: (纸本)9781607685395

The application of a microporous layer (MPL) to the catalyst layer (CL) side of the gas diffusion layer substrate of a polymer electrolyte fuel cell (PEFC, PEMFC) is effective to mitigate liquid water accumulation at the CL that inhibits oxygen transport to the cathode CL (Flooding). To elucidate the effects of two-phase flow on the oxygen transport in an MPL for its optimized designs, we have modeled three-dimensional porous structures of in-house hydrophobic MPLs with pore network models (PNMs) for convective air permeation and oxygen diffusion with liquid water saturation. Pore diameter distributions derived by a focused ion beam scanning electron microscope (FIB-SEM) are used to construct the PNMs. Oxygen diffusion measurements by using gas chromatography with changing wetting liquid saturation, as well as air permeation measurements, validate the PNMs. © 2021 ECS - The Electrochemical Society.

关键词： Proton exchange membrane fuel cells (PEMFC)

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Nonlinear vibrations of sandwich shells of revolutions with carbon nanotubes reinforced composite faces and fused deposition processed honeycomb core 3

Nonlinear vibrations of sandwich shells of revolutions with ...

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3rd IEEE KhPI Week on Advanced Technology, KhPI Week 2022

作者： Avramov, Konstantin Uspensky, Boris Kharkiv National University of Radio Electronics A. Pidhornyi Institute of Mechanical Engineering Problems National Aerospace University N. Ye. Zhukovsky 'KhAI' Department of Technical Systems Department of Aircraft Strength Kharkiv Ukraine

ISBN: (数字)9798350399202

ISBN: (纸本)9798350399202

The dynamic behavior of sandwich shells of revolution with carbon nanotube (CNT) reinforced faces and honeycomb core manufactured by fused deposition modeling are analyzed numerically. The every layer vibrations of the sandwich shell are described by three displacements projections and two rotations angles of the middle surface normal. The layers displacements are described by the expansion up to the quadratic and cubic terms of the transverse coordinates. The shells of revolution nonlinear vibrations are described by the system of nonlinear ordinary differential equations, which is obtained by assumed-mode method. The combination of shooting technique and continuation are used for nonlinear vibrations numerical analysis. © 2022 IEEE.

关键词： Carbon nanotubes

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The need for neuromorphic computing in industrial robotics

The need for neuromorphic computing in industrial robotics

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Artificial Intelligence and Power engineering (AIPE), International Conference on

作者： Tapanta Bhanja Jonathan Nußbaum Khalil Abuibaid Tatjana Legler Achim Wagner Martin Ruskowski Department of Mechanical and Process Engineering Chair for Machine Tools and Control Systems University of Kaiserslautern-Landau Kaiserslautern Germany Innovative Factory Systems German Research Centre for Artificial Intelligence Kaiserslautern Germany

With Moore’s law coming to its limits, the rate of increase in compute power available for processing applications is similarly coming to a halt. This implies that the compute intensive tasks, such as robotics, artificial intelligence, and high-performance space computing need innovative ways to cater their ever-increasing compute needs. One innovative way to solve computational bottlenecks is to bring compute and memory together, as opposed to the Von Neumann computational model, with greater degree of parallelism in an event-based, asynchronous computation paradigm. Neuromorphic computing is one such paradigm that draws its inspiration from the brain. Energy and computational efficiency, asynchronous and event-based processing being its salient features, neuromorphic computing is an area worth exploring for compute intensive tasks. In this paper, the authors explore the possibilities and benefits of neuromorphic computing in robotics, and establish possible research directions that could benefit the robotics domain.

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Attackable detectability of partially-observed discrete-event systems under sensor attack

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IFAC-PapersOnLine 2022年第28期55卷 121-127页

作者： Qinrui Chen Rong Su Zhiwu Li School of Electro-Mechanical Engineering Xidian University Xi'an 710071 China School of Electrical and Electronic Engineering Nanyang Technological University 639798 Singapore Institute of Systems Engineering Macau University of Science and Technology Taipa 999078 Macau SAR China

This paper focuses on the problem of the detectability in the setting of partially-observed discrete event systems subject to sensor attackers. We assume the attacker can arbitrarily alter sensor readings after intercepting them from a target system, aiming to trick a given supervisor to issue improper control commands, which may lead the system not be strongly or weakly detectable. The definitions of attackable strong detectability and attackable weak detectability are presented. Necessary and sufficient conditions for two types of detectability are then presented respectively based on the observer construction.

关键词： Discrete-event systems supervisory control sensor attack partial observation detectability

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Stabilizing a Class of Periodical Time-Delay Milling systems by Adaptive Active Control Method

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IEEE Transactions on Industrial Informatics 2025年第6期21卷 4457-4465页

作者： Wu, Yue Zhang, Hai-Tao Xu, Bowen Ren, Gui-Ping Shi, Yang Chen, Guanrong Beijing Forestry University State Key Laboratory of Efficient Production of Forest Resources Key Laboratory of National Forestry and Grassland Administration on Forestry Equipment and Automation School of Technology Beijing100083 China Huazhong University of Science and Technology School of Artificial Intelligence and Automation the State Key Laboratory of Digital Manufacturing Equipment and Technology Institute of Artificial Intelligence MOE Engineering Research Center of Autonomous Intelligent Unmanned Systems Wuhan430074 China Huazhong University of Science and Technology Guangdong HUST Industrial Technology Research Institute Dongguan523808 China Guangdong Provincial Key Laboratory of Manufacturing Equipment Digitization Dongguan523808 China Northwestern Polytechnical University School of Artificial Intelligence Optics and Electronics Xi'an710072 China University of Victoria Department of Mechanical Engineering VictoriaBCV8W 2Y2 Canada City University of Hong Kong Department of Electrical Engineering 999077 Hong Kong

Periodical time-delay scenario is often encountered in industrial manufacturing processes. However, the presence of time delays and periodical coefficients brings challenges to controller design and system analysis, which thereby hinders the performance improvement of such systems. In this work, the dynamics of milling systems are transformed into a time-invariant finite-dimensional uncertain model described by Fourier series and Padé approximation. An adaptive active control law is accordingly designed to stabilize such complex dynamics. With the assistance of LaSalle–Yoshizawa theorem, conditions are derived to guarantee sufficiently large stability regions of the corresponding closed-loop system. A numerical case study is conducted on a standard two degrees of freedom milling perturbation system to substantiate the superiority of the proposed adaptive active control technique in terms of enlarged stable operational regions. © 2005-2012 IEEE.

关键词： Milling (machining)

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Online Optimization of Heat Pump systems for Building Heating based on Lyapunov Method

Online Optimization of Heat Pump Systems for Building Heatin...

引用

2022 IEEE Power and Energy Society Innovative Smart Grid Technologies Conference, ISGT 2022

作者： Cao, Mengfan Chen, Shibo Yang, Zaiyue Miao, Haoyu Southern University of Science and Technology Shenzhen Key Laboratory of Biomimetic Robotics and Intelligent Systems The Guangdong Prov. Key Laboratory of Human-Augmentation and Rehabilitation Robotics in Universities Department of Mechanical and Energy Engineering Shenzhen518055 China

ISBN: (纸本)9781665437752

Improving the energy efficiency of heating systems is of great significance in building energy saving. This paper investigates a time-average total cost minimization problem of heat pump systems. Firstly, heat pump systems and thermal dynamic building model are built considering thermal inertia. To solve temporally coupled constraints and uncertainties of the outdoor temperature and real-time electricity price in the formulated problem, the paper proposes an online optimization algorithm for building heating based on Lyapunov method. Extensive simulation results show that this method could achieve user comfort and reduce energy cost effectively. © 2022 IEEE.

关键词： Energy efficiency

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EFEAR-4D: Ego-Velocity Filtering for Efficient and Accurate 4D radar Odometry

arXiv

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arXiv 2024年

作者： Wu, Xiaoyi Chen, Yushuai Li, Zhan Hong, Ziyang Hu, Liang The Department of Automation School of Mechanical Engineering and Automation Harbin Institute of Technology Shenzhen518055 China Research Institute of Intelligent Control and Systems Harbin Institute of Technology Harbin150001 China

Odometry is a crucial component for successfully implementing autonomous navigation, relying on sensors such as cameras, LiDARs and IMUs. However, these sensors may encounter challenges in extreme weather conditions, such as snowfall and fog. The emergence of FMCW radar technology offers the potential for robust perception in adverse conditions. As the latest generation of FWCW radars, the 4D mmWave radar provides point cloud with range, azimuth, elevation, and Doppler velocity information, despite inherent sparsity and noises in the point cloud. In this paper, we propose EFEAR-4D, an accurate, highly efficient, and learning-free method for large-scale 4D radar odometry estimation. EFEAR-4D exploits Doppler velocity information delicately for robust ego-velocity estimation, resulting in a highly accurate prior guess. EFEAR-4D maintains robustness against point-cloud sparsity and noises across diverse environments through dynamic object removal and effective region-wise feature extraction. Extensive experiments on two publicly available 4D radar datasets demonstrate state-of-the-art reliability and localization accuracy of EFEAR-4D under various conditions. Furthermore, we have collected a dataset following the same route but varying installation heights of the 4D radar, emphasizing the significant impact of radar height on point cloud quality - a crucial consideration for real-world deployments. Our algorithm and dataset will be available soon at https://***/CLASS-Lab/EFEAR-4D. © 2024, CC BY-NC-SA.

关键词： Millimeter waves

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Enhancing Bioactivity and Corrosion Resistance of Laser Powder Bed-Fused Ti6al4v Using Titania-Reinforced Hydroxyapatite Nanocomposite Coatings Through Electrophoretic Deposition

SSRN

引用

SSRN 2024年

作者： Sohrabpoor, Hamed Salarvand, V. Torabpour, M. Yazdi, M. Saghafi Asadi, P. Brabazon, Dermot Stein, B.D. Raghavendra, R. Department of Intelligent Systems Engineering Luddy School of Informatics Computing and Engineering Indiana University Bloomington BloomingtonIN United States Department of Materials Science and Engineering Imam Khomeini International University Qazvin Iran Department of Mechanical Engineering Engineering Faculty Gebze Technical University Kocaeli Gebze41400 Turkey I-Form Advanced Manufacturing Research Centre & Advanced Processing Technology Research Centre School of Mechanical & Manufacturing Engineering Dublin City University Dublin Ireland Electron Microscopy Center Department of Biology Indiana University BloomingtonIN United States SEAM Research Center South East Technological University Ireland

Hydroxyapatite (HA) coatings are commonly used on titanium alloy substrates for orthopedic and dental implants because of their excellent osteoconductivity and biocompatibility. The disparity in the coefficient of thermal expansion (CTE) between the coating and substrate can result in the formation of cracks in the HA coatings during the coating process. This study examined the effect of titania (TiO2) nanoparticle additions in HA coatings to enhance their properties and prevent cracking. Using electrophoretic deposition (EPD), HA and HA-TiO2 composite coatings were applied to laser powder bed fused Ti6Al4V substrates. Optimal EPD conditions of 45 volts and 120 s were identified to produce consistent, crack-free coatings. Increasing the TiO2 nanoparticle concentration (≥50 wt.%) decreased the coatings' CTE, mitigating cooling-induced cracking. The microstructural analysis confirmed the uniform distribution of HA and TiO2 in the coatings. X-ray diffraction and Fourier-transform infrared spectroscopy data revealed that the HA structure remained intact even with the addition of TiO2. Higher TiO2 reduced the average surface roughness, with the HA-40%TiO2 coating exhibiting the lowest roughness (approximately 50 nm). Electrochemical tests corroborated the surface roughness findings. Incorporating TiO2 into the HA coatings decreased the thermal expansion coefficient, reducing tensile stresses. © 2024, The Authors. All rights reserved.

关键词： Titanium dioxide

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Diffusion-Based mmWave Radar Point Cloud Enhancement Driven by Range Images

arXiv

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arXiv 2025年

作者： Wu, Ruixin Li, Zihan Wang, Jin Xu, Xiangyu Yu, Huan Zheng, Zhi Huang, Kaixiang Lu, Guodong The State Key Laboratory of Fluid Power and Mechatronic Systems School of Mechanical Engineering Zhejiang University Hangzhou310058 China Zhejiang Key Laboratory of Industrial Big Data and Robot Intelligent Systems Zhejiang University Hangzhou310058 China Robotics Research Center of Yuyao City Ningbo315400 China State Key Laboratory of Robotics and Systems Department of Mechatronics Engineering Harbin Institute of Technology Harbin150001 China

Millimeter-wave (mmWave) radar has attracted significant attention in robotics and autonomous driving. However, despite the perception stability in harsh environments, the point cloud generated by mmWave radar is relatively sparse while containing significant noise, which limits its further development. Traditional mmWave radar enhancement approaches often struggle to leverage the effectiveness of diffusion models in super-resolution, largely due to the unnatural range-azimuth heatmap (RAH) or bird’s eye view (BEV) representation. To overcome this limitation, we propose a novel method that pioneers the application of fusing range images with image diffusion models, achieving accurate and dense mmWave radar point clouds that are similar to LiDAR. Benefitting from the projection that aligns with human observation, the range image representation of mmWave radar is close to natural images, allowing the knowledge from pre-trained image diffusion models to be effectively transferred, significantly improving the overall performance. Extensive evaluations on both public datasets and self-constructed datasets demonstrate that our approach provides substantial improvements, establishing a new state-of-the-art performance in generating truly three-dimensional LiDAR-like point clouds via mmWave radar. Copyright © 2025, The Authors. All rights reserved.

关键词： Radar imaging

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