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An Online Exploratory Maximum Likelihood Estimation Approach to Adaptive Kalman Filtering

IEEE/CAA Journal of Automatica Sinica 2025年第1期12卷 228-254页

作者： Jiajun Cheng Haonan Chen Zhirui Xue Yulong Huang Yonggang Zhang the college of Intelligent Systems science and engineering Harbin Engineering University the engineering Research Center of Navigation Instruments Ministry of Education the college of Intelligent Systems science and engineering the college of Future Technology Harbin Engineering University IEEE

Over the past few decades, numerous adaptive Kalman filters(AKFs) have been proposed. However, achieving online estimation with both high estimation accuracy and fast convergence speed is challenging, especially when both the process noise and measurement noise covariance matrices are relatively inaccurate. Maximum likelihood estimation(MLE) possesses the potential to achieve this goal, since its theoretical accuracy is guaranteed by asymptotic optimality and the convergence speed is fast due to weak dependence on accurate state ***, the maximum likelihood cost function is so intricate that the existing MLE methods can only simply ignore all historical measurement information to achieve online estimation,which cannot adequately realize the potential of MLE. In order to design online MLE-based AKFs with high estimation accuracy and fast convergence speed, an online exploratory MLE approach is proposed, based on which a mini-batch coordinate descent noise covariance matrix estimation framework is developed. In this framework, the maximum likelihood cost function is simplified for online estimation with fewer and simpler terms which are selected in a mini-batch and calculated with a backtracking method. This maximum likelihood cost function is sidestepped and solved by exploring possible estimated noise covariance matrices adaptively while the historical measurement information is adequately utilized. Furthermore, four specific algorithms are derived under this framework to meet different practical requirements in terms of convergence speed, estimation accuracy,and calculation load. Abundant simulations and experiments are carried out to verify the validity and superiority of the proposed algorithms as compared with existing state-of-the-art AKFs.

关键词： Adaptive Kalman filtering coordinate descent maximum likelihood estimation mini-batch optimization unknown noise covariance matrix

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IDSSCNN-XgBoost:Improved Dual-Stream Shallow Convolutional Neural Network Based on Extreme Gradient Boosting Algorithm for Micro Expression Recognition

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Computers, Materials & Continua 2025年第1期82卷 729-749页

作者： Adnan Ahmad Zhao Li Irfan Tariq Zhengran He School of information science and engineering Southeast UniversityNanjing210016China

Micro-expressions(ME)recognition is a complex task that requires advanced techniques to extract informative features fromfacial *** deep neural networks(DNNs)with convolutional structures have been ***,unlike DNNs,shallow convolutional neural networks often outperform deeper models in mitigating overfitting,particularly with small ***,many of these methods rely on a single feature for recognition,resulting in an insufficient ability to extract highly effective *** address this limitation,in this paper,an Improved Dual-stream Shallow Convolutional Neural Network based on an Extreme Gradient Boosting Algorithm(IDSSCNN-XgBoost)is introduced for ME *** proposed method utilizes a dual-stream architecture where motion vectors(temporal features)are extracted using Optical Flow TV-L1 and amplify subtle changes(spatial features)via EulerianVideoMagnification(EVM).These features are processed by IDSSCNN,with an attention mechanism applied to refine the extracted effective *** outputs are then fused,concatenated,and classified using the XgBoost *** comprehensive approach significantly improves recognition accuracy by leveraging the strengths of both temporal and spatial information,supported by the robust classification power of *** proposed method is evaluated on three publicly available ME databases named Chinese Academy of sciences Micro-expression Database(CASMEII),Spontaneous Micro-Expression Database(SMICHS),and Spontaneous Actions and Micro-Movements(SAMM).Experimental results indicate that the proposed model can achieve outstanding results compared to recent *** accuracy results are 79.01%,69.22%,and 68.99%on CASMEII,SMIC-HS,and SAMM,and the F1-score are 75.47%,68.91%,and 63.84%,*** proposed method has the advantage of operational efficiency and less computational time.

关键词： ME recognition dual stream shallow convolutional neural network euler video magnification TV-L1 XgBoost

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Intelligent integrated sensing and communication:a survey

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science China(information sciences) 2025年第03期68卷 5-46页

作者： Jifa ZHANG Weidang LU Chengwen XING Nan ZHAO Naofal AL-DHAHIR George K.KARAGIANNIDIS Xiaoniu YANG School of information and Communication engineering Dalian University of Technology college of information engineering Zhejiang University of Technology School of information and Electronics Beijing Institute of Technology Department of Electrical and Computer engineering The University of Texas at Dallas Department of Electrical and Computer engineering Aristotle University of Thessaloniki

Integrated sensing and communication (ISAC) is a promising technique to increase spectral efficiency and support various emerging applications by sharing the spectrum and hardware between these functionalities. However, the traditional ISAC schemes are highly dependent on the accurate mathematical model and suffer from the challenges of high complexity and poor performance in practical scenarios. Recently, artificial intelligence (AI) has emerged as a viable technique to address these issues due to its powerful learning capabilities, satisfactory generalization capability, fast inference speed, and high adaptability for dynamic environments, facilitating a system design shift from model-driven to data-driven. Intelligent ISAC, which integrates AI into ISAC, has been a hot topic that has attracted many researchers to investigate. In this paper, we provide a comprehensive overview of intelligent ISAC, including its motivation, typical applications, recent trends, and challenges. In particular, we first introduce the basic principle of ISAC, followed by its key techniques. Then, an overview of AI and a comparison between model-based and AI-based methods for ISAC are provided. Furthermore, the typical applications of AI in ISAC and the recent trends for AI-enabled ISAC are reviewed. Finally, the future research issues and challenges of intelligent ISAC are discussed.

关键词： artificial intelligence deep learning deep reinforcement learning federated learning generative artificial intelligence integrated sensing and communication machine learning transfer learning

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Neural Tucker Factorization

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IEEE/CAA Journal of Automatica Sinica 2025年第2期12卷 475-477页

作者： Peng Tang Xin Luo the college of Computer and information science Southwest University IEEE

Dear Editor,This letter presents a novel latent factorization model for high dimensional and incomplete (HDI) tensor, namely the neural Tucker factorization (Neu Tuc F), which is a generic neural network-based latent-...

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Carbon interconnected microsized Si film toward high energy room temperature solid-state lithium-ion batteries

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Chinese Chemical Letters 2025年第2期36卷 531-535页

作者： Xin Li Ling Zhang Yunyan Fan Shaojing Lin Yong Lin Yongsheng Ying Meijiao Hu Haiying Gao Xianri Xu Zhongbiao Xia Xinchuan Lin Junjie Lu Xiang Han School of information engineering Fujian Business University college of Artificial Intelligence Yango University college of Materials science and engineering Co-Innovation Center of Efficient Processing and Utilization of Forest Resources Nanjing Forestry University

Solid-state batteries （SSBs） with high-capacity Si anodes have been regarded as one of the most promising candidates to meet the large scale energy storage and electrical vehicles due to its intrinsic safety and potential high energy ***,Si suffers from poor electrical conductivity and huge volume change and particles fracture during lithiaiotn and delithiation,which induces low practical energy *** addition,the SSBs are often operated at high temperature due to the poor physical contact and huge resistance between Si and solid-state electrolyte （SSE）.To improve the bulk electronic/ionic conductivity of Si and its interfacial compatibility with SSE,herein,a binder free and self-supporting Si/C film was *** monolithic carbon not only enhance the electric conductivity but also release huge stress during lithiation and *** addition,paired with the flexible and soft poly（vinylidene fluoride）-co-hexafluoropropylene （PVDF-HFP） and Li1.3Al0.3Ti1.7（PO4）3（LATP） solid-state electrolyte,a LiF-rich and electrochemical stable solid-electrolyte interphase （SEI） layer is in-situ *** fast bulk and interfacial ionic transportation as well as the mechanical integrity of MSi enable high performance SSBs at room *** a result,high specific capacity of 2137 m Ah/g with an initial Coulombic efficiency of 83.2%is obtained at a rate of 0.5 A/*** at a high rate of 3 A/g,the specific capacity is1793 m Ah/*** a rate of 1 A/g,the Si/C anode delivers a long cycling performance over 500 cycles while maintains a capacity of 1135 mAh/*** work provides a new strategy that combines charge transfer kinetics and interfacial chemistry design toward high energy density Si-based SSBs.

关键词： Carbon coating Interphase Lithium-ion battery Silicon anode Solid-state electrolyte

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Dynamic Event-Triggered Active Disturbance Rejection Formation Control for Constrained Underactuated AUVs

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IEEE/CAA Journal of Automatica Sinica 2025年第2期12卷 460-462页

作者： Zhiguang Feng Sibo Yao IEEE the college of Intelligent Systems science and engineering Harbin Engineering University

Dear Editor,This letter addresses the formation control problem for constrained underactuated autonomous underwater vehicles (AUVs). The feasibility condition of the virtual control law is eliminated by introducing a nonlinear state dependence function (NSDF) that transforms the state of each AUV in the formation.

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Enhanced dynamics of Al3+/H+ ions in aqueous aluminum ion batteries:Construction of metastable structures in vanadium pentoxide upon oxygen vacancies

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Journal of Energy Chemistry 2025年第2期101卷 562-569页

作者： Zhibao Wang Hanqing Gu Tianci Wu Wenming Zhang Zhanyu Li Hebei Key Laboratory of Optic-Electronic information and Materials National & Local Joint Engineering Laboratory of New Energy Photoelectric Devices College of Physics Science and Technology Hebei University

In recent years,aqueous aluminum ion batteries have been widely studied owing to their abundant energy storage and high theo retical *** in-depth study of vanadium oxide materials is necessary to address the precipitation of insoluble products covered cathode surface and the slow reaction ***,a method using a simple one-step hydrothermal preparation and oxalic acid to regulate oxygen vacancies has been reported.A high starting capacity(400 mAh g-1) can be achieved by Ov-V2O5,and it is capable of undergoing 200 cycles at 0.4 A g-1,with a termination discharge capacity of103 mAh *** analysis demonstrated that metastable structures（AlxV2O5and HxV2O5） were constructed through the insertion of Al3+/H+during discharging,which existed in the lattice intercalation with *** incorporation of oxygen vacancies lowers the reaction energy barrier while improving the ion transport *** addition,the metastable structure allows the electrostatic interaction between Al3+and the main backbone to establish protection and optimize the transport *** parallel,this work exploits ex-situ characterization and DFT to obtain a profound insight into the instrumental effect of oxygen vacancies in the construction of metastable structures during in-situ electrochemical activation,with a view to better understanding the mechanism of the synergistic participation of Al3+and H+in the *** work not only reports a method for cathode materials to modulate oxygen vacancies,but also lays the foundation for a deeper understanding of the metastable structure of vanadium oxides.

关键词： Electrochemical activation Metastable structure Oxygen vacancies Vanadium pentoxide

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Biomimetic Micro-Nanostructured Evaporator with Dual-Transition-Metal MXene for Efficient Solar Steam Generation and Multifunctional Salt Harvesting

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Nano-Micro Letters 2025年第5期17卷 16-36页

作者： Ruiqi Xu Hongzhi Cui Na Wei Yang Yu Lin Dai Xiaohua Chen college of Materials science and engineering Ocean University of ChinaQingdao 266100People’s Republic of China college of Materials science and engineering Shandong University of Science and TechnologyQingdao 266590People’s Republic of China

Solar-driven interfacial evaporation is one of the most attractive approaches to addressing the global freshwater ***,achieving an integrated high evaporation rate,salt harvesting,and multifunctionality in evaporator is still a crucial ***,a novel composite membrane with biomimetic micronanostructured superhydrophobic surface is designed via ultrafast laser etching ***,the double-transition-metal(V_(1/2)Mo_(1/2))_(2)CT_(x)MXene nanomaterials as a photothermal layer,exhibiting the enhanced photothermal conversion performance due to elevated joint densities of states,which enables high populations of photoexcited carrier relaxation and heat release,provides a new insight into the photothermal conversion mechanism for multiple principal element ***,the(V_(1/2)Mo_(1/2))_(2)CT_(x)MXene-200 composite membrane can achieve a high evaporation rate of 2.23 kg m^(−2)h^(−1)under one sun,owing to the enhanced“light trap”effect,photothermal conversion,and high-throughput water ***,the membrane can induce the directed precipitation of salt at the membrane edge,thus enabling salt harvesting for recycling and zero-emission of brine ***,the composite membrane is endowed with excellent multifunctionality of anti-/de-icing,anti-fouling,and antibacterial,overcoming the disadvantage that versatility is difficult to be ***,the evaporator and the promising strategy hold great potential for the practical application of solar evaporation.

关键词： Double‐transition‐metal MXene Micro-nanostructures Solar steam generation Salt harvesting Multifunctionality

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Semantic Segmentation of Lumbar Vertebrae Using Meijering U-Net(MU-Net)on Spine Magnetic Resonance Images

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Computer Modeling in engineering & sciences 2025年第1期142卷 733-757页

作者： Lakshmi S V V Shiloah Elizabeth Darmanayagam Sunil Retmin Raj Cyril Department of Computer science and engineering College of Engineering GuindyAnna UniversityChennai600025India Department of information Technology Madras Institute of TechnologyAnna UniversityChrompetChennai600044India

Lower back pain is one of the most common medical problems in the world and it is experienced by a huge percentage of people *** to its ability to produce a detailed view of the soft tissues,including the spinal cord,nerves,intervertebral discs,and vertebrae,Magnetic Resonance Imaging is thought to be the most effective method for imaging the *** semantic segmentation of vertebrae plays a major role in the diagnostic process of lumbar *** is difficult to semantically partition the vertebrae in Magnetic Resonance Images from the surrounding variety of tissues,including muscles,ligaments,and intervertebral discs.U-Net is a powerful deep-learning architecture to handle the challenges of medical image analysis tasks and achieves high segmentation *** work proposes a modified U-Net architecture namely MU-Net,consisting of the Meijering convolutional layer that incorporates the Meijering filter to perform the semantic segmentation of lumbar vertebrae L1 to L5 and sacral vertebra ***-colour mask images were generated and used as ground truth for training the *** work has been carried out on 1312 images expanded from T1-weighted mid-sagittal MRI images of 515 patients in the Lumbar Spine MRI Dataset publicly available from Mendeley *** proposed MU-Net model for the semantic segmentation of the lumbar vertebrae gives better performance with 98.79%of pixel accuracy(PA),98.66%of dice similarity coefficient(DSC),97.36%of Jaccard coefficient,and 92.55%mean Intersection over Union(mean IoU)metrics using the mentioned dataset.

关键词： Computer aided diagnosis(CAD) magnetic resonance imaging(MRI) semantic segmentation lumbar vertebrae deep learning U-Net model

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A Cross Attention Transformer-Mixed Feedback Video Recommendation Algorithm Based on DIEN

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Computers, Materials & Continua 2025年第1期82卷 977-996页

作者： Jianwei Zhang Zhishang Zhao Zengyu Cai Yuan Feng Liang Zhu Yahui Sun college of Software engineering Zhengzhou University of Light IndustryZhengzhou450000China Faculty of information engineering Xuchang Vocational Technical CollegeXuchang461000China college of Computer science and Technology Zhengzhou University of Light IndustryZhengzhou450000China college of Electronics and information Zhengzhou University of Light IndustryZhengzhou450000China

The rapid development of short video platforms poses new challenges for traditional recommendation *** systems typically depend on two types of user behavior feedback to construct user interest profiles:explicit feedback(interactive behavior),which significantly influences users’short-term interests,and implicit feedback(viewing time),which substantially affects their long-term ***,the previous model fails to distinguish between these two feedback methods,leading it to predict only the overall preferences of users based on extensive historical behavior ***,it cannot differentiate between users’long-term and shortterm interests,resulting in low accuracy in describing users’interest states and predicting the evolution of their *** paper introduces a video recommendationmodel calledCAT-MFRec(CrossAttention Transformer-Mixed Feedback Recommendation)designed to differentiate between explicit and implicit user feedback within the DIEN(Deep Interest Evolution Network)*** study emphasizes the separate learning of the two types of behavioral feedback,effectively integrating them through the cross-attention ***,it leverages the long sequence dependence capabilities of Transformer technology to accurately construct user interest profiles and predict the evolution of user *** results indicate that CAT-MF Rec significantly outperforms existing recommendation methods across various performance *** advancement offers new theoretical and practical insights for the development of video recommendations,particularly in addressing complex and dynamic user behavior patterns.

关键词： Video recommendation user interest cross-attention transformer

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