On Optimal Operator for Combining Left and Right Sole Pressure Data in Biometrics Security by Takahiro Takeda, Kei Kuramoto, Syoji Kobashi, Yutaka Hata

“…This paper describes optimal operator for combining left and right sole pressure data in a personal authentication method by dynamic change of sole pressure distribution while walking. …”
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Sparse Adaptive Optimization Based on Low Rank Decomposition for Image Defect Detection by Daihong Jiang, Zhixiang Chen, Sanyou Zhang, Yunfei Li, Lu Zhao

“…The proposed model enhances the structural expressiveness of the sparse component while preserving the global low-rank structure. To solve the resulting optimization problem efficiently, we develop a tailored algorithm based on operator splitting techniques, significantly improving computational efficiency without sacrificing accuracy. …”
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Optimizing Variable Admittance Control for Remote Ultrasound Scanning Under Uncertain Environment by Songjie Xiao, Tengyue Wang, Yun Long, Liangjing Yang

“…Precise force control in remote robotic ultrasound systems is critical for optimizing image quality and ensuring patient safety. …”
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Optimization of Adaptive Cruise Control Strategies Based on the Responsibility-Sensitive Safety Model by Tengwei Yu, Yubin Tang, Renxiang Chen, Shuen Zhao

“…By integrating the multi-step predictive optimization capabilities of MPC with the dynamic safety assessment mechanisms of RSS, the proposed strategy ensures safe following distances while achieving rapid and precise speed adjustments, thereby enhancing the system’s responsiveness and safety. …”
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Multi-Objective Optimization of Chiral Metasurface for Sensing Based on a Distributed Algorithm by Xianglai Liao, Lili Gui, Shulei Bi, Ang Gao, Zhenming Yu, Kun Xu

“…We propose a distributed multi-objective optimization (DMO) method for designing chiral plasmonic metasurface that satisfies multiple objectives simultaneously. …”
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Regularized K-Means Clustering via Fully Corrective Frank-Wolfe Optimization by Ahmed Yacoub Yousif, Basad Al-Sarray

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Risk Distribution Characteristics and Optimization of Short Weaving Area for Complex Municipal Interchanges by Yonggang Liao, Yong Yang, Zhenzhong Ding, Kaimin Tong, Yanjie Zeng

“…To balance the risk distribution, an optimization method is proposed based on the result analysis. …”
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Optimizing Fairness and Spectral Efficiency With Shapley-Based User Prioritization in Semantic Communication by Moirangthem Tiken Singh, Adnan Arif, Rabinder Kumar Prasad, Bikramjit Choudhury, Chandan Kalita, Sikdar Md. S. Askari

“…Notably, as the number of channels increases, S-SE stabilizes while fairness continues to improve, approaching optimal levels in diverse system configurations. …”
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OPTIMIZATION-BASED APPROACH TO TILING OF FINITE AREAS WITH ARBITRARY SETS OF WANG TILES by Marek Tyburec, Jan Zeman

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Research on interactive optimization technology in music education games based on EMD-RNN by Xiaohang Yang

“…Based on the EMD-RNN model, this study explores its application of interactive optimization technology in music educational games. The EMD (Empirical Mode Decomposition) method adaptively decomposes audio signals into multiple eigenmode functions, which makes the processing of non-stationary signals more accurate, especially suitable for intonation and rhythm analysis in music teaching. …”
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BENEFITS AND CHALLENGES IN DESIGN, OPTIMIZATION, AND RECYCLING OF COMPOSITE MATERIALS USED IN THE AEROSPACE INDUSTRY by Paula-Malina Vieriu, Ionel Simion

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Optimization for threat classification of various data types-based on ML model and LLM by Chaerim Hong, Taeyeon Oh

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Multidimensional Resource Task Scheduling Based on Particle Swarm Optimization in Edge Computing by Zhonglu Zou, Zhuxin Zhai, Xin Yan, Zilin You, Liming Chen

“…It primarily focuses on the instantaneous utilization of CPU and memory while neglecting the coordinated optimization of disk I/O and network bandwidth, resulting in an imbalance in cluster resource utilization, commonly known as the bottleneck effect. …”
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Optimal Zero-Defect Solution for Multiple Inspection Items in Incoming Quality Control by Wenqing Zhou, Yufeng Chen

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Research on process optimization and trajectory planning of EA4T axle robot grinding by Feng ZHANG, Zhongli FENG, Feng XU, Deming ZHANG, Xiangrui ZENG, Jianwei MA, Shilei ZHANG

“…Using this parameter combination, the post-grinding surface roughness reaches 0.338 μm, and the material removal depth is 1.67 μm, effectively improving surface quality while meeting specification requirements. (3) The off-line programming method is used to plan the grinding trajectory. …”
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Precision nitrogen management for optimal yield and cannabinoid profile in CBD hemp agronomy by Dinesh Panday, Bharat Sharma Acharya, Nikita Bhusal, Reza Keshavarz Afshar, Andrew Smith, Arash Ghalehgolabbehbahani

“…There was a significant interaction of N rate and application method, impacting biomass yield, while the N rate also influenced CBD concentration. …”
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Development and Characterization of Optimized Drug-Loaded Niosomes for Delivery of 5-FU and Irinotecan by Kafilat O. Agbaje, Simeon K. Adesina, Amusa S. Adebayo

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Interpretable Machine Learning for Population Spatialization and Optimal Grid Scale Selection in Shanghai by Yuan Cao, Hefeng Wang, Lanxuan Guo, Anbing Zhang, Xiaohu Wu

“…However, when using machine learning methods for population spatialization, issues such as data overfitting and limited interpretability need to be addressed. …”
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AOAFS: A Malware Detection System Using an Improved Arithmetic Optimization Algorithm by Rafat Alshorman, Bilal H. Abed-alguni, Yaqeen E. Alqudah

“…Several malware datasets were used to compare the AOAFS to four popular Machine Learning algorithms and eight famous wrapper-based optimization algorithms. Statistically, the AOAFS was evaluated using the Friedman Test for ranking the tested algorithms, while the Wilcoxon Signed-Rank Test was employed for pairwise comparisons. …”
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Optimization of Surface Quality and Power Consumption in Machining Hardened AISI 4340 Steel by Dennis Ochengo, Li Liang, Zhao Wei, He Ning

“…The Taguchi method, based on the L18 orthogonal array, the variance analysis, the signal-to-noise ratios, and the response surface methodology have been used to optimize surface roughness (Ra) and cutting power (Cp). …”
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