A Lightweight Network with Domain Adaptation for Motor Imagery Recognition by Xinmin Ding, Zenghui Zhang, Kun Wang, Xiaolin Xiao, Minpeng Xu

“…Additionally, lightweight experiments were conducted from two perspectives: model structure optimization and data feature selection. The results demonstrated the potential advantages of this method for practical applications in motor imagery recognition systems.…”
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SPOTting Model Parameters Using a Ready-Made Python Package. by Tobias Houska, Philipp Kraft, Alejandro Chamorro-Chavez, Lutz Breuer

“…We developed SPOTPY (Statistical Parameter Optimization Tool), an open source python package containing a comprehensive set of methods typically used to calibrate, analyze and optimize parameters for a wide range of ecological models. …”
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Research on the role of multi-sensor system information fusion in improving hardware control accuracy of intelligent system by Li Xin, Li Yuesong

“…A sensor fusion algorithm combined with global optimization algorithm is innovatively proposed. According to the key frames saved in the previous steps, feature points in local maps, sensor information, and loop information, a global optimization algorithm based on graph optimization model is constructed to optimize the position and pose of intelligent hardware system and the position of spatial feature points. …”
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Comparison of gamma and x-ray irradiation for myeloablation and establishment of normal and autoimmune syngeneic bone marrow chimeras. by Thomas Rea Wittenborn, Cecilia Fahlquist Hagert, Alexey Ferapontov, Sofie Fonager, Lisbeth Jensen, Gudrun Winther, Søren Egedal Degn

“…In the mixed chimera model of autoimmune disease, we found that a similar autoimmune phenotype could be achieved irrespective of irradiation source used. It is thus possible to compare data generated, regardless of the irradiation source, but every setup and application likely needs individual optimization.…”
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Online regularization of Poincaré map of storage rings with Shannon entropy by Yongjun Li, Kelly Anderson, Derong Xu, Yue Hao, Kiman Ha, Yoshiteru Hidaka, Minghao Song, Robert Rainer, Victor Smaluk, Timur Shaftan

“…A measurable chaos indicator is used as the online optimization objective in tuning a complicated nonlinear system—the National Synchrotron Light Source-II storage ring. …”
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A Study of Resolution Improvement in Noncoherent Optical Coherence Imaging by Guoliang Yang, Junhong Su, Yuan Li, Jialin Cai, Yiren Li

“…Various techniques have emerged for recording holograms using incoherent light sources as technology has developed. A recording method has been proposed that exploits the correlation between the object wave information and the Fresnel band sheet to achieve incoherent hologram recording. …”
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Stochastic Demand-Side Management for Residential Off-Grid PV Systems Considering Battery, Fuel Cell, and PEM Electrolyzer Degradation by Mohamed A. Hendy, Mohamed A. Nayel, Mohamed Abdelrahem

“…The uncertainty in demand forecasting is addressed through a scenario-based generation to enhance the robustness and accuracy of the proposed method. Then, stochastic optimization was employed to determine the optimal operating schedules for deferable appliances and optimal water heater (WH) settings. …”
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Modeling water and hydrogen networks with partitioning regeneration units by W.M. Shehata, A.M. Shoaib, F.K. Gad

“…This method determines the number of partitioning regenerators needed for the regeneration of the sources. …”
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Synergistic Integration of Local and Global Information for Critical Edge Identification by Na Zhao, Ting Luo, Hao Wang, Shuang-Ping Yang, Ni-Fei Xiong, Ming Jing, Jian Wang

“…Therefore, it is essential to develop a method that integrates multiple sources of information to enhance critical edge identification and provide a deeper understanding and optimization of the structure and function of complex networks. …”
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Hydrochemical Characteristics and Formation Mechanism of Strontium-Rich Groundwater in Shijiazhuang, North China Plain by Duo Li, Shuang Gan, Junfeng Li, Zihan Dong, Qi Long, Shuwei Qiu, Yahong Zhou, Changyu Lu

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Progress towards the Sustainable Development Goal 14 (Life below water) in the context of Brazil: A multicriteria approach by Vinicius Moretti, Natália Ramos Corraini, Everton Luiz Melo, Marinez Eymael Garcia Scherer, João Carlos Colmenero

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Technology for the Bacillus megaterium Fodder Biomass Production by Aleksandra V. Baurina, Dmitry V. Baurin, Irina V. Shakir, Victor I. Panfilov

“…The carbohydrate content was determined using a modified Bertrand method. Amine nitrogen was studied using formol titration, the number of viable cells – by the Koch method, the content of amino acids – by capillary electrophoresis. …”
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Geomorphological and Geological Characteristics Slope Unit: Advancing Township-Scale Landslide Susceptibility Assessment Strategies by Gang Chen, Taorui Zeng, Dongsheng Liu, Hao Chen, Linfeng Wang, Liping Wang, Kaiqiang Zhang, Thomas Glade

“…A landslide susceptibility index system is developed using multi-source data, with susceptibility prediction conducted via the XGBoost model optimized by Bayesian methods. …”
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Noise Reduction Scheme for High-speed Low-floor Tram Seating Areas by PAN Minkai, CHEN Yunsha

“…To ensure that high-speed low-floor trams can maintain good noise performance while increasing the operating speed, it is necessary to carry out research on the optimization of the whole vehicle noise scheme. [Method] Based on the FE (Finite Element)-SEA (Statistical Energy Analysis) method, a SEA model of the whole vehicle is established, and the vehicle interior noise is simulated and predicted through acoustic software. …”
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Measurement-converted Kalman filter tracking with Gaussian intensity attenuation signal in wireless sensor networks by Sha Wen, Liqiang Xing, Xiaoqing Hu, Hui Zhang

“…This approach adopts a measurement conversion method to remove the measurement nonlinearity by the maximum likelihood estimator, and a linear estimate of the target position and its associated noise statistics obtained by the Newton–Raphson iterative optimization steps are applied into the standard Kalman filter. …”
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Domain Adversarial Transfer Learning Bearing Fault Diagnosis Model Incorporating Structural Adjustment Modules by Zhidan Zhong, Hao Xie, Zhenxin Wang, Zhihui Zhang

“…Traditional bearing fault diagnosis methods are ineffective in diagnosing complex faults and mostly rely on the manual adjustment of hyperparameters. …”
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Advancements in end treatment techniques and applications of acid mine drainage in coal mines: A research review by Qiaohui CHE, Song DU, Degao ZHANG, Yinglin FAN, Xiao ZHANG, Fengli WANG

“…According to the actual application cases, the treatment ideas and optimization methods of domestic AMD end treatment methods are summarized. …”
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Accelerating EdDSA Signature Verification with Faster Scalar Size Halving by Muhammad ElSheikh, İrem Keskinkurt Paksoy, Murat Cenk, M. Anwar Hasan

“…For the first time ever, EEA generated half-size scalars are used for verification of individual Ed25519 signatures yielding timing results that outperform ed25519-donna, a highly optimized open source implementation, by 16.12%. We also propose a new randomization method applied with half-size scalars to batch verification of Ed25519 signatures for which we report speed-ups compared to the well-known Bernstein et al. method for batch sizes larger than six, specifically, our method achieves 11.60% improvement for batch size 64. …”
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Multi-time Scale Adaptive Reactive Voltage Control for Distribution Networks Based on Voltage Tendency Coefficient by Ziran JIN, Hongbin WU, Yiyao ZHOU, Bin XU, Jinjin DING, Wei WEI

“…In addition, a feedback correction for the long time scale is added to the short time scale optimization control. With the simulation of the example system, the effectiveness of the proposed reactive voltage control method is verified.…”
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Design and Test Analysis of High Precision Test Bench of RV Reducer Transmission Error by Zhu Zhonggang, Zhang Jing, Zhou Li, Han Yi'nan

“…The transmission error measurement tests of imported and domestic reducer are carried out, and the test data is processed by the filtering analysis method, and the result can show the main source of the transmission error of reducer, a reliable reference for the optimization design and manufacturing process improvement of key parts of RV reducer is provided.…”
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