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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Optimizing EV Charging in Real-Time With a Distributed Game-Theoretic Framework by Aifang Yan, Xiaopeng Chen

“…A distributed real-time optimization approach is then implemented through the alternating direction method of multipliers (ADMM). …”
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An AI-based automatic leukemia classification system utilizing dimensional Archimedes optimization by Warda M. Shaban

“…The proposed method is called the Dimensional Archimedes Optimization Algorithm (DAOA). …”
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Detection and Optimization of Photovoltaic Arrays’ Tilt Angles Using Remote Sensing Data by Niko Lukač, Sebastijan Seme, Klemen Sredenšek, Gorazd Štumberger, Domen Mongus, Borut Žalik, Marko Bizjak

“…This paper presents a novel method for optimizing the tilt angles of existing PV arrays by integrating Very High Resolution (VHR) satellite imagery and airborne Light Detection and Ranging (LiDAR) data. …”
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Optimal Investment, Consumption, and Life Insurance Choices with Habit Formation and Inflation Risk by Ailing Shi, Xingyi Li, Zhongfei Li

“…By using the dynamic programming method, we provide and prove a verification theorem and obtain closed-form expressions for the value function, the optimal life insurance premium rate, and the optimal investment and consumption strategies. …”
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An Optimization Ranking Approach Based on Weighted Citation Networks and P-Rank Algorithm by Jian-feng Jiang, Shen Xu, Lan-tao You

“…The obtained experimental results demonstrate that the optimization article ranking method can achieve competitive performance when compared to other unweighted ranking algorithms. …”
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Conventional and Innovative Methods for Reducing the Incidence of <i>Listeria monocytogenes</i> in Milk and Dairy Products by Adriana Dabija, Cristina Ștefania Afloarei, Dadiana Dabija, Ancuța Chetrariu

“…This paper presents a synthesis of the specialized literature on methods to reduce the incidence of <i>L. monocytogenes</i> in milk and dairy products. …”
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Optimizing irrigation for photosynthesis and drought resistance of extra- long staple cotton varieties by NING Liyun, ZHANG Jusong, WANG Li, WU Yifan, HU Haoran, ZHANG Chengjie

“…Among all varieties, Miancheng No.10 achieved the highest yield (6 806.36 kg/hm2) under W3, while Lutai 700Q produced the lowest yield (4 340.21 kg/hm2) under W1.…”
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Injection well site optimization of carbon geological sequestration based on dynamic programming by Bin LIU, Chunsheng SHI

“…In this context, the optimization process defines an optimal substructure and a state transition equation to determine the best injection well location that maximizes CO2 storage capacity while minimizing potential risks. …”
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Optimal Ordering Strategy for Goods at Multiple Retail Prices under Simultaneous Sales by Yunzhi Mu, Zhiqing Meng, Rui Shen, Gengui Zhou, Leiyan Xu, Minchao Zheng

“…The Lagrangian multiplier method is applied to solve the problem, and an algorithm for finding the approximate optimal total order quantity is designed. …”
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