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Leveraging EfficientNetB3 in a Deep Learning Framework for High-Accuracy MRI Tumor Classification

Computers, Materials & Continua 2024年第10期81卷 867-883页

作者： Mahesh Thyluru Ramakrishna Kuppusamy Pothanaicker Padma Selvaraj Surbhi Bhatia Khan Vinoth Kumar Venkatesan Saeed Alzahrani Mohammad Alojail Department of Computer Science&Engineering Faculty of Engineering and TechnologyJAIN(Deemed-to-be University)Bengaluru562112India School of Computer Science and Engineering VIT-AP UniversityAmaravati522241India Department of Computer Science&Technology Madanapalle Institute of Technology&ScienceMadanapalle517325India School of Science Engineering and EnvironmentUniversity of SalfordManchesterM54WTUK School of Computer Science Engineering&Information Systems(SCORE) Vellore Institute of Technology(VIT)Vellore632014India Management Information System Department College of Business AdministrationKing Saud UniversityRiyadh11531Saudi Arabia Adjunct Research Faculty Centre for Research Impact&OutcomeChitkara UniversityRajpuraPunjab140401India

Brain tumor is a global issue due to which several people suffer,and its early diagnosis can help in the treatment in a more efficient *** different types of brain tumors,including gliomas,meningiomas,pituitary tumors,as well as confirming the absence of tumors,poses a significant challenge using MRI *** approaches predominantly rely on traditional machine learning and basic deep learning methods for image *** methods often rely on manual feature extraction and basic convolutional neural networks(CNNs).The limitations include inadequate accuracy,poor generalization of new data,and limited ability to manage the high variability in MRI *** the EfficientNetB3 architecture,this study presents a groundbreaking approach in the computational engineering domain,enhancing MRI-based brain tumor *** approach highlights a major advancement in employing sophisticated machine learning techniques within Computer science and engineering,showcasing a highly accurate framework with significant potential for healthcare *** model achieves an outstanding 99%accuracy,exhibiting balanced precision,recall,and F1-scores across all tumor types,as detailed in the classification *** successful implementation demonstrates the model’s potential as an essential tool for diagnosing and classifying brain tumors,marking a notable improvement over current *** integration of such advanced computational techniques in medical diagnostics can significantly enhance accuracy and efficiency,paving the way for wider *** research highlights the revolutionary impact of deep learning technologies in improving diagnostic processes and patient outcomes in neuro-oncology.

关键词： Deep learning MRI brain tumor cassification EfficientNetB3 computational engineering healthcare technology artificial intelligence in medical imaging tumor segmentation neuro-oncology

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Unified Barrier Function Based Approach for Practical Fixed-Time Control of State-Constrained Nonlinear System

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Journal of systems science & Complexity 2025年第2期38卷 782-804页

作者： GENG Fan DONG Yi HONG Yiguang College of Electronic and Information Engineering National Key Laboratory of Autonomous Intelligent Unmanned Systems Frontiers Science Center for Intelligent Autonomous Systems Ministry of Education Tongji University

This paper considers the practical fixed-time tracking control problem for a state constrained pure-feedback nonlinear system. A new barrier function is first proposed to handle various asymmetric time-varying constraints and unify the cases with and without state constraints. Then a low-cost neural network based adaptive fixed-time controller is constructed by further combining the dynamic surface control, which overcomes the technical problems of overparametrization and singularity in the backstepping procedure. The proposed design guarantees that the tracking error converges to a small neighbourhood of zero in a fixed time while satisfying the state constraints as a priority task without imposing feasibility conditions on the virtual controllers. Simulation results validate the effectiveness of the proposed adaptive fixed-time tracking control strategy.

关键词： Barrier function fixed-time control nonlinear system state constraint

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Robust twin-field quantum key distribution through sending or not sending

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National science Review 2023年第4期10卷 76-85页

作者： Cong Jiang Zong-Wen Yu Xiao-Long Hu Xiang-Bin Wang Jinan Institute of Quantum Technology State Key Laboratory of Low Dimensional Quantum Physics Department of Physics Tsinghua University Data Communication Science and Technology Research Institute School of Physics State Key Laboratory of Optoelectronic Materials and Technologies Sun Yat-sen University Shanghai Branch CAS Center for Excellence and Synergetic Innovation Center in Quantum Information and Quantum Physics University of Science and Technology of China Shenzhen Institute for Quantum Science and Engineering and Physics Department Southern University of Science and Technology Frontier Science Center for Quantum Information

The sending-or-not-sending(SNS) protocol is one of the most major variants of the twin-field(TF)quantum key distribution(QKD) protocol and has been realized in a 511-km field fiber, the farthest field experiment to date. In practice, however, all decoy-state methods have unavoidable source errors, and the source errors may be non-random, which compromises the security condition of the existing TF-QKD protocols. In this study, we present a general approach for efficiently calculating the SNS protocol's secure key rate with source errors, by establishing the equivalent protocols through virtual atenuation and the tagged model. This makes the first result for TF QKD in practice where source intensity cannot be controlled exactly. Our method can be combined with the two-way classical communication method such as active odd-parity pairing to further improve the key rate. The numerical results show that if the intensity error is within a few percent, the key rate and secure distance only decrease marginally. The key rate of the recent SNS experiment in the 511-km field fiber is still positive using our method presented here, even if there is a ±9.5% intensity fluctuation. This shows that the SNS protocol is robust against source errors.

关键词： quantum information quantum key distribution sending or not sending twin field source error

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S2Gait: RGB-based Gait Recognition with Style Feature Sampling Data Augmentation

S2Gait: RGB-based Gait Recognition with Style Feature Sampli...

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2025 IEEE/SICE International Symposium on System Integration, SII 2025

作者： Yoshino, Koki Nakashima, Kazuto Ahn, Jeongho Iwashita, Yumi Kurazume, Ryo Kyushu University Graduate School of Information Science and Electrical Engineering Japan Kyushu University Faculty of Information Science and Electrical Engineering Japan California Institute of Technology Jet Propulsion Laboratory United States

ISBN: (纸本)9798331531614

Gait is unique to individuals and can be acquired from a distance, making it difficult to disguise. Gait videos also contain many elements unrelated to gait, which make gait recognition challenging. Departing from common approaches that use preprocessing such as silhouette extraction, the RGB-based method extracts gait features directly from RGB gait videos. RGB-based methods leverage the difference between two inputs with different attributes to separate gait-related/unrelated features, but their separation performance depends on the diversity of the dataset. To increase the amount and diversity of training data, we focus on the latent space of gait-independent features (style features), which are usually not needed for gait recognition. In this paper, we propose S2Gait (Style feature Sampling Gait), which augments the training data online with images generated from gait-dependent features of the input images and sampled style features. Experiments demonstrate that the proposed method surpasses existing RGB-based methods on almost all metrics for both generated image quality and identification accuracy. We also explore the relationship between the amount of data augmentation and performance taking advantage of our method's flexibility to generate a wide variety of gait images. © 2025 IEEE.

关键词： RGB color model

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Collaboratively enhancing electrochemical properties of LiNi_(0.83)Co_(0.11)Mn_(0.06)O_(2) through doping and coating of quadrivalent elements

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Rare Metals 2023年第12期42卷 4103-4114页

作者： Zhao-Zhe Yu Gui-Quan Zhao Fang-Li Ji Hao Tong Qi-Lin Tong Hua-Cheng Li Yan Cheng Guangxi Key Laboratory of Manufacturing Systems and Advanced Manufacturing Technology Guilin University of Electronic TechnologyGuilin 541004China Engineering Research Center of Electronic Information Materials and Devices Ministry of EducationGuilin University of Electronic TechnologyGuilin 541004China Guangxi CNGR New Energy Science&Technology Co. Ltd.Qinzhou 535000China

Ni-rich layered oxides(Ni>80%)with high energy density have become a mainstream cathode material for Li-ion ***,irreversible phase transitions and interface instability are deep-seated challenges in commercializing Ni-rich *** study used a collaborative modification strategy involving doping and coating with quadrivalent elements to construct Ni-rich *** particular,introducing tetravalent Zr makes the valence change of Ni(2+to 4+)more accessible to complete spontaneously during the charging and discharging processes,which significantly suppresses the cationic mixing and irreversible phase transition(H2?H3).Combining the strategy of constructing CeO_(2) coatings on the surface and interfacial spinel-like phases improves the Li+diffusion kinetics and interfacial ***,part of the strongly oxidizing four-valence Ce^(4+)diffuses to the surface layer,further increasing the average valence state of ***,LiNi_(0.83)Co_(0.11)Mn_(0.06)O_(2)(NCM)-Zr@Ce achieves 78.5%outstanding retention at1.0C after 200 cycles within 3.0-4.3 V compared to unmodified NCM with 41.4%*** improved cyclic stability can be attributed to the collaborative modification strategy of the quadrivalent elements,which provides an effective synergistic modification strategy for developing high-performance Li-ion battery cathode materials.

关键词： Collaborative modification strategy Quadrivalent elements Phase transitions Structural degradation Ni-rich layered oxides

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Directional Antenna UAVs Networking Algorithm Based on On-Demand-Weighted Clustering 22

Directional Antenna UAVs Networking Algorithm Based on On-De...

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22nd International Conference on Optical Communications and Networks, ICOCN 2024

作者： Zheng, Ruoqi Zhang, Qi Xin, Xiangjun Zhao, Tonggang Chai, Furong Tian, Feng Wang, Fu Tian, Qinghua Yang, Leijing Li, Yuanfeng Sun, Meng Wang, Yongjun Beijing100876 China BUPT Beijing Key Laboratory of Space-ground Interconnection and Convergence Beijing100876 China National University of Defense Technology Science and Technology on Information Systems Engineering Laboratory Changsha410073 China School of Information and Electronics Beijing Institute of Technology Beijing100081 China

To solve the problem of cluster configuration for unmanned aerial vehicle (UAV) networks in highly dynamic environments, a directional antenna UAVs network algorithm based on demand-weighted clustering is proposed to ... 详细信息

ISBN: (纸本)9798350367652

关键词： Unmanned aerial vehicles (UAV)

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Adaptive Tracking Algorithm for Hypersonic Maneuvering Target Based on Bi-satellite Positioning

Adaptive Tracking Algorithm for Hypersonic Maneuvering Targe...

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2024 China Automation Congress, CAC 2024

作者： Fu, Zhumu Wan, Dongfeng Wang, Zhikai Tao, Fazhan School Information Engineering Henan University of Science and Technology National Key Laboratory of Air-based Information Perception and Fusion Luoyang China

ISBN: (纸本)9798350368604

Due to the hypersonic maneuvering target’s fast flight speed and wide trajectory range, it is impractical to track its entire path using ground-based radar. Based on the Bi-satellite positioning measurement model with line of sight intersection, this paper integrate the Strong Tracking Filter (STF) with the Unscented Kalman Filter (UKF) algorithm, incorporating two adaptive coefficients to adjust the filter gain and noise covariance matrix dynamically. This approach aims to track and estimate the trajectory of a hypersonic glide vehicles (HGVs) based on observations from two LEO early warning satellites within the space-based infrared system. Through simulation, this paper presents the results of tracking target trajectories using an adaptive strong tracking Unscented Kalman Filter (ASTUKF) algorithm based on Bi-satellite positioning. The simulation and experimental results demonstrate that the proposed algorithm achieves a 28.95% and 50.36% lower total speed RMSE compared to the other two algorithms, respectively. Similarly, the total position RMSE is reduced by 30.46% and 51.99%, respectively, when compared with the same algorithms. © 2024 IEEE.

关键词： Kalman filters

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Joint self-supervised and reference-guided learning for depth inpainting

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Computational Visual Media 2022年第4期8卷 597-612页

作者： Heng Wu Kui Fu Yifan Zhao Haokun Song Jia Li State Key Laboratory of Virtual Reality Technology and Systems School of Computer Science and EngineeringBeihang UniversityBeijing 100191China

Depth information can benefit various computer vision tasks on both images and ***,depth maps may suffer from invalid values in many pixels,and also large *** improve such data,we propose a joint self-supervised and reference-guided learning approach for depth *** the self-supervised learning strategy,we introduce an improved spatial convolutional sparse coding module in which total variation regularization is employed to enhance the structural information while preserving edge *** module alternately learns a convolutional dictionary and sparse coding from a corrupted depth ***,both the learned convolutional dictionary and sparse coding are convolved to yield an initial depth map,which is effectively smoothed using local contextual *** reference-guided learning part is inspired by the fact that adjacent pixels with close colors in the RGB image tend to have similar depth *** thus construct a hierarchical joint bilateral filter module using the corresponding color image to fill in large *** summary,our approach integrates a convolutional sparse coding module to preserve local contextual information and a hierarchical joint bilateral filter module for filling using specific adjacent *** results show that the proposed approach works well for both invalid value restoration and large hole inpainting.

关键词： depth inpainting self-supervised learning reference-guided learning

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Manipulating Zr/Ti ratio based on phase diagram for large electrocaloric effects with multiple target operation temperatures in PLZT ceramics

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Journal of Advanced Ceramics 2024年第9期13卷 1422-1431页

作者： Junjie Li Ruowei Yin Zhe Xiong Yizheng Bao Xing Zhang Wenjuan Wu Lezhong Li Yang Bai Sichuan Province Key Laboratory of Information Materials and Devices Application College of Optoelectronic Engineeringand Chengdu IC Valley Industrial CollegeChengdu University of Information TechnologyChengdu 610225China Beijing Advanced Innovation Center for Materials Genome Engineering and Institute for Advanced Materials and TechnologyUniversity of Science and Technology BeijingBeijing 100083China Chengdu Hongming Electronics Co. Ltd.Chengdu 610199China Key Laboratory of Inorganic Functional Materials and Devices Shanghai Institute of CeramicsChinese Academy of SciencesShanghai 201800China Sichuan Meteorological Optoelectronic Sensor Technology and Application Engineering Research Center Chengdu University of Information TechnologyChengdu 610225China

Ferroelectric phase transition has been identified as a promising avenue for designing high-performanceelectrocaloric materials for zero-emission and solid-state refrigeration. However, extensive research has been limited todeveloping ferroelectric materials with large electrocaloric effects near room temperature, preventing them from meetingdiverse refrigeration requirements. In this study, by leveraging the room-temperature phase diagram of the (PbLa)(ZrTi)O_(3)solution, we prepared a series of Pb_(0.775)La_(0.15)Zr_(x)Ti_(1−x)O_(3) bulk ceramics spanning the ferroelectric and relaxor ferroelectricphase regions. This enabled the attainment of various phase transition features and temperatures. Finally, largeelectrocaloric effects, coupled with adjustable operation temperatures ranging from 150 to −45℃, are successfullyachieved through manipulation of the Zr/Ti ratio. This comprehensive range of operation temperatures effectively addressesdiverse refrigeration application requirements, ranging from industrial equipment to freezer cabinets. This work not onlyunderscores the expansion of the electrocaloric refrigeration application domain but also proposes a material designstrategy tailored to meet these evolving demands.

关键词： electrocaloric effect phase transition phase diagram ferroelectric ceramics

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A healable, mechanically robust and ultrastretchable ionic conductive elastomer for durably wearable sensor

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Nano Research 2024年第4期17卷 3369-3378页

作者： Guoxian Zhang Chunmei Li JiaoJun Tan Mingqi Wang Yafeng Ren Feijie Ge Qiuyu Zhang Key Laboratory of Special Functional and Smart Polymer Materials of Ministry of Industry and Information Technology School of Chemistry and Chemical EngineeringNorthwestern Polytechnical UniversityXi'an 710072China College of Bioresources Chemical and Materials Engineering National Demonstration Center for Experimental Light Chemistry Engineering EducationShaanxi University of Science&TechnologyXi’an 710021China

The ionic conductive elastomers show great promise in multifunctional wearable electronics,but they currently suffer from liquid leakage/evaporation or mechanical *** ionic conductive elastomers integrating non-volatility,mechanical robustness,superior ionic conductivity,and ultra-stretchability remains urgent and ***,we developed a healable,robust,and conductive elastomer via impregnating free ionic liquids(ILs)into the ILs-multigrafted poly(urethane-urea)(PUU)elastomer networks.A crucial strategy in the molecular design is that imidazolium cations are largely introduced by double-modification of PUU and centipede-like structures are obtained,which can lock the impregnated ILs through strong ionic *** this system,the PUU matrix contributes outstanding mechanical properties,while the hydrogen bonds and ionic interactions endow the elastomer with self-healing ability,conductivity,as well as non-volatility and *** fabricated ionic conductive elastomers show good conductivity(3.8×10^(-6) S·cm^(-1)),high mechanical properties,including tensile stress(4.64 MPa),elongation(1470%),and excellent healing ability(repairing efficiency of 90%after healing at room temperature for 12 h).Significantly,the conductive elastomers have excellent antifatigue properties,and demonstrate a highly reproducible response after 1000 uninterrupted extension-release *** work provides a promising strategy to prepare ionic conductive elastomers with excellent mechanical properties and stable sensing capacity,and further promote the development of mechanically adaptable intelligent sensors.

关键词： ionic conductive elastomers poly(urethane-urea)(PUU) ionic interactions centipede-like self-healing

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