Patent Analysis of the Electric Vehicle Battery Management Systems Based on the AHP and Entropy Weight Method by Dan Wan, Ling Peng, Hao Zhan

“…By integrating the analytic hierarchy process (AHP) and entropy weight method, a patent value evaluation model was constructed to identify key patents and assess their quality across four dimensions: technical, market, economic, and legal. …”
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YOLOv11-HRS: An Improved Model for Strawberry Ripeness Detection by Jianhua Liu, Jing Guo, Suxin Zhang

“…Experimental results on the self-constructed strawberry dataset SRD show that YOLOv11-HRS improves mAP@0.5 and mAP@0.5:0.95 by 3.4% and 6.3%, respectively, reduces the number of parameters by 19%, and maintains a stable inference speed compared to the baseline YOLOv11 model. …”
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Building Fire Location Predictions Based on FDS and Hybrid Modelling by Yanxi Cao, Hongyan Ma, Shun Wang, Yingda Zhang

“…In addition, the model’s anti-interference performance was tested under various extreme conditions. …”
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River Surface Space–Time Image Velocimetry Based on Dual-Channel Residual Network by Ling Gao, Zhen Zhang, Lin Chen, Huabao Li

“…However, environmental interference often blurs weak tracer textures in STIs, limiting the accuracy of traditional MOT detection algorithms based on shallow features like images’ gray gradient. …”
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Integrating 7-day D-dimer exposure into deep vein thrombosis risk prediction after gastrointestinal surgery by Shuwei Weng, Chen Ding, Die Hu, Likui Huang, Daoquan Peng

“…We retrospectively analyzed 525 patients undergoing gastrointestinal surgery, performed propensity score matching, and constructed a multivariable logistic regression model incorporating 7dDDE and other clinical variables. …”
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Syllable-, Bigram-, and Morphology-Driven Pseudoword Generation in Greek by Kosmas Kosmidis, Vassiliki Apostolouda, Anthi Revithiadou

“…Therefore, we developed SyBig-r-Morph, a novel application that constructs pseudowords using syllables as the main building block, replicating Greek phonotactic patterns. …”
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Aberrant mitochondrial homeostasis at the crossroad of musculoskeletal ageing and non-small cell lung cancer. by Konstantinos Prokopidis, Panagiotis Giannos, Oliver C Witard, Daniel Peckham, Theocharis Ispoglou

“…Differentially expressed genes (DEGs) were used to construct protein-protein interaction networks and retrieve clustering gene modules. …”
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Traditional guidance mechanism based deep robust watermarking by Xuejing GUO, Yixiang FANG, Yi ZHAO, Tianzhu ZHANG, Wenchao ZENG, Junxiang WANG

“…With the development of network and multimedia technology, multimedia data has gradually become a key source of information for people, making digital media the primary battlefield for copyright protection and anti-counterfeit traceability.Digital watermarking techniques have been widely studied and recognized as important tools for copyright protection.However, the robustness of conventional digital watermarking methods is limited as sensitive digital media can easily be affected by noise and external interference during transmission.Then the existing powerful digital watermarking technology’s comprehensive resistance to all forms of attacks must be enhanced.Moreover, the conventional robust digital watermarking algorithm’s generalizability across a variety of image types is limited due to its embedding method.Deep learning has been widely used in the development of robust digital watermarking systems due to its self-learning abilities.However, current initialization techniques based on deep neural networks rely on random parameters and features, resulting in low-quality model generation, lengthy training times, and potential convergence issues.To address these challenges, a deep robust digital watermarking algorithm based on a traditional bootstrapping mechanism was proposed.It combined the benefits of both traditional digital watermarking techniques and deep neural networks, taking into account their learning abilities and robust characteristics.The algorithm used the classic robust digital watermarking algorithm to make watermarked photos, and the constructed feature guaranteed the resilience of traditional watermarked images.The final dense image was produced by fusing the conventionally watermarked image with the deep network using the U-Net structure.The testing results demonstrate that the technique can increase the stego image’s resistance to various attacks and provide superior visual quality compared to the conventional algorithm.…”
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Fiber Optics-Mechanics Coupling Sensor for High-Performance Hydrogen Detection by Xuhui Zhang, Xiaotong Li, Xinpu Zhang, Wei Peng

“…This proposed fiber hydrogen sensor is constructed by combining optics-mechanics coupling, specific adsorption of hydrogen to the surface of palladium (Pd), and Fabry-Pérot (F-P) interference mechanism; the optics-mechanics coupling is aroused by hydrogen-induced stress in the suspended Pd film, which functions as an F-P resonator mirror and a hydrogen-sensitive material. …”
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ANALYSIS OF COMBINED EXCITATION EFFECT OF SHEAR-WAVE VIBROSEIS by HUANG Zhiqiang, YOU Zhengtao, LI Gang, FU Mingwei, WANG Ruohao, SHUAI Jun, ZHANG Guoxu

“…Firstly, based on three-dimensional nine-component data and two types of combinations, eight modes of vibration excitation of combined shear-wave vibroseis were considered, a vibrator-earth finite element model was established, and an evaluation system of the vibration excitation effect of the combined shear-wave vibroseis was constructed. Secondly, based on this evaluation system, the influence of the various combined excitation modes of the shear-wave vibroseis on the downward energy of the earth, the downward depth of shear-wave signals and the mutual interference between combined excitation waves was analyzed in detail. …”
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Design and analysis of active disturbance rejection and field weakening control system for PMSM based on FCS-MPC by YU Yuting, HUANG Jie, CHU Yanting, ZHOU Fangyuan

“…Based on a value function constructed to minimize torque and flux linkage ripples, calculations and optimizations enable the selection of optimal space vector control signals that are then transmitted to the inverters. …”
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Study on Micro-nano Fiber Coupled Ring Mirror and Its Spectral Controllability by GUO Chuanchen, YANG Min, CUI Qianqian, LIN Zheng, WEI Shilei, SUN Jiajia, LI Lijun

“…This provides a new approach for constructing novel all-fiber devices. These devices can not only be used as wavelength selection and regulation components in lasers to optimize laser output characteristics, but also applied in sensing fields such as biomedicine for high-precision detection of liquid components.…”
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Subgraphs of functional brain networks identify dynamical constraints of cognitive control. by Ankit N Khambhati, John D Medaglia, Elisabeth A Karuza, Sharon L Thompson-Schill, Danielle S Bassett

“…Based on these data, we construct dynamic functional brain networks and use a parts-based, network decomposition technique called non-negative matrix factorization to identify putative cognitive control subgraphs whose temporal expression captures distributed network structures involved in different phases of cooperative and competitive control processes. …”
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Measuring Setup for Investigation and Visualization of the Percolation Phenomenon in Non-Оrdered Models of Metal-Dielectric Nanocomposites by P. Okal

“…In both cases the flow of alternating current occurs in the absence of direct contact between the metallic phase particles.A measuring stand was developed and constructed to test models of metal dielectric nanocomposites using high voltage partial discharge. …”
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Image Compression-Encryption Scheme via Fiber Specklegram-Based Compressive Sensing and Double Random Phase Encoding by Yan Liu, Yaohua Hu, Yang Li, Qi Qin, Guangde Li, ZhongWei Tan, Muguang Wang, FengPing Yan

“…The measurement matrices for CS are constructed from multimode fiber specklegrams resulting from modes excitation and interference, which show better performance compared with those based on Gaussian random variables. …”
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Coverage Optimization Technology of Power Pipe Gallery Based on Improved Gray Wolf Algorithm by Cheng ZHONG, Di ZHAI, Yang LU, Xiaobo LIU, Xinru WANG, Xiongwen ZHAO

“…To address the problem of reduced communication quality in narrow underground power pipe gallery, where wireless sensor network coverage is affected by irregular shapes, obstacles, and electromagnetic interference, a power monitoring coverage sensing model is constructed based on the minimum access rate constraint, and an improved gray wolf coverage optimization algorithm is proposed by combining neuron mapping and differential evolution. …”
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High SERS performance of functionalized carbon dots in the detection of dye contaminants by Yanqiu Yang, Lingru Kong, Yong Ding, Lixin Xia, Shuo Cao, Peng Song

“…The functional nanocomposite is novel and challenging to construct and implement through surface enhanced Raman scattering (SERS) strategy to reveal the contributions in application. …”
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Deep Learning Based 3D Visualization Health Condition Monitoring Method for Anchor Digging Machines by YANG Xueqi, GAO Xinqin, ZHENG Haiyang, YANG Jun

“…The experimental results were close to the results of the historical data.ConclusionsThe designed health condition monitoring framework for anchor digging machines is capable of real-time and accurate monitoring. The constructed SDAE‒DT Net model effectively integrates features from sequences of varying time lengths within the data, enhancing the RUL prediction accuracy even under noise interference. …”
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Sequential Two-Mode Fusion Underwater Single-Photon Lidar Imaging Algorithm by Tian Rong, Yuhang Wang, Qiguang Zhu, Chenxu Wang, Yanchao Zhang, Jianfeng Li, Zhiquan Zhou, Qinghua Luo

“…Simulation and test results show that the imaging performance and imaging characteristics of the method are better than the current high-performance first-photon group imaging algorithm, indicating that the method has a great advantage in sparse photon counting imaging, and the method proposed in this paper constructs a clear depth and reflectance intensity image of the target scene, even in the 50,828 Lux ambient strong light and strong interference, the 0.1 Lux low-light environment, or the underwater high-attenuation environment.…”
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Research on Concrete Crack Detection in Hydropower Station Burial Engineering Based on Quantum Particle Technology by Yuanjiang Ma, Jun Fu, Qingsong Zhang, Xiaobing Liu, Bingxu Chen, Gang Yan, Hua Shi

“…A three-dimensional simulation model is constructed and verified accurately through integration with CT scanning techniques. …”
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