Joint Optimization of Caching and Recommendation with Performance Guarantee for Effective Content Delivery in IoT by Zhiyong Liu, Hong Shen, Hui Tian

“…They focus mainly on heuristics and deep reinforcement learning methods without the provision of performance guarantees, which are required in many real-world applications. …”
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Resilient dispatching optimization of power system driven by deep reinforcement learning model by Haifeng Zhang, Yifu Zhang, Jiajun Zhang, Xiangdong Meng, Jiazu Sun

“…This framework can simulate various complex working conditions online and realize real-time optimization of unit combination and load distribution according to different scenarios and conditions through real-time monitoring and analysis of the power grid operation status. …”
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Damage failure mode and parameter optimization of the connecting section of extendable grouting bolts by LIU Shaowei, ZHANG Weiyu, HE Deyin

“…The effects of different thread types on the mechanical properties of the bolts were analyzed， and the connection strength of commonly used thread types was compared. …”
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Optimizing Machine Learning-Based Ovarian Cancer Prediction Through Normalization Strategies by Roopashri Shetty, Siddhant Gupta, Vansh Mediratta, Shwetha Rai, M. Geetha

“…Additionally, unsupervised models like K-Means and DBSCAN clustering are implemented to study further subgroups of the Ovarian Cancer dataset optimizing results. The effects of different feature selection techniques and the impact of standardization versus normalization are compared on both datasets. …”
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A modified coronavirus herd immunity optimizer for capacitated vehicle routing problem by Lamees Mohammad Dalbah, Mohammed Azmi Al-Betar, Mohammed A. Awadallah, Raed Abu Zitar

“…Due to the complex nature of the capacitated vehicle routing problem, metaheuristic optimization algorithms are widely used for tackling this type of challenge. …”
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Integrated Hyperparameter Optimization with Dimensionality Reduction and Clustering for Radiomics: A Bootstrapped Approach by S. J. Pawan, Matthew Muellner, Xiaomeng Lei, Mihir Desai, Bino Varghese, Vinay Duddalwar, Steven Y. Cen

“…However, its effectiveness depends on the selection of dimensionality reduction techniques, clustering methods, and hyperparameter optimization, an area with limited exploration in the literature. …”
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Analysis of the Impact of Speed Trajectory Optimization on Energy Consumption During Highway Merging by Liyue Yang, Dohyun Park, Shaowen Lyu, Tacksu Kim, Namwook Kim

“…Powertrain loss is reduced by 52.4 % and is the largest factor affecting overall energy consumption. To expend under different traffic demands, energy-optimal speed trajectories were obtained for different merging times. …”
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The tolerance balancing optimization with multiple constraints on the form and function of the discrete functional surface by Chuanyuan Zhou, Xiaomei Guo, Xiaoxiao Wei

“…This fact makes the tolerance optimization method focusing only on the geometric function requirements unreasonable for the discrete functional surface. …”
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Research on Multibeam Pattern Synthesis of Time Modulated Array Based on Convex Optimization by Jiawen Hu, Xikuan Dong, Jing Tan, Yachao Jiang, Hailin Li

“…The proposed method is capable of realizing pattern synthesis under different DRR constraints and different beam radiation directions. …”
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The impact of success criteria in high-error practice conditions on motor learning, self-efficacy, and mood states: A challenge to the optimal theory by Samaneh Khalilirad, Hasan Mohammadzadeh, Farahnaz Ayatizadeh Tafti

“…Background: Identifying the practice conditions that optimize the learning of motor skills is one of the main objectives in the area of human motor learning research. …”
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Research and Application of Multi-Area Large-Scale New Energy Integration Capability with Steady-State Security Region Constraints by Yiqiang SU, Shengsong LIU

“…The optimal power flow traverses the new energy power growth directions of the whole system composed of different regions to search for the critical points of SSSR. …”
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Arithmetic optimization based MPPT for photovoltaic systems operating under nonuniform situations. by Maheshwari Adaikkappan, Nageswari Sathiyamoorthy, Durga Devi Ravichandran, Karthikeyan Balasubramani, Sundararaju Karuppannan, Ramasamy Palanisamy, Zakaria M S Elbarbary, Saad F Al-Gahtani, Ahmed I Omar

“…Moreover, due to the incorporation of bypass diodes, power-voltage (P-V) graph has multi-peaks when each component of the module receives different solar irradiation. This paper proposes a solution to this problem using an arithmetic optimization algorithm (AOA) for MPPT in PV systems operating in nonuniform situations. …”
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POSSIBILITIES OF SELF-ORGANIZATION METHODS IN PREDICTING EMERGENCY SITUATIONS IN MINING by I. S. Bondarenko, V. V. Kupriyanov

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Ultrasonic Assisted Enhancement in Natural Dye Extraction from Eucalyptus for Process Optimization by Faisal Rehman, Tayyab Naveed, Rehana Ilyas, Noor Sanbhal, Muhammad Awais, Wang Wei

“…The tencel fabric samples were dyed using pre-mordanting, simultaneous-mordanting, and post-mordanting techniques without and with mordants using different concentrations. The dye extraction and dyeing process were investigated at different temperatures and time durations to achieve an optimized process. …”
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Hyperparameter optimization of apple leaf dataset for the disease recognition based on the YOLOv8 by Yong-Suk Lee, Maheshkumar Prakash Patil, Jeong Gyu Kim, Yong Bae Seo, Dong-Hyun Ahn, Gun-Do Kim

“…Further hyperparameter optimization was conducted using the One-Factor-At-a-Time (OFAT) and Random Search (RS) methods. …”
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Development and Optimization of Chitosan-Ascorbate-Based Mucoadhesive Films for Buccal Delivery of Captopril by Krisztián Pamlényi, Hala Rayya, Alharith A. A. Hassan, Orsolya Jójárt-Laczkovich, Tamás Sovány, Klára Pintye-Hódi, Géza Regdon, Katalin Kristó

“…The polymer films were prepared by the solvent casting method. <b>Results</b>: The optimized CAP-loaded formula showed appropriate in vitro mucoadhesion force (>15 N) and breaking hardness (>14 N). …”
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An automated software algorithm for optimizing microwave ablation parameters for treatment of liver tumors by Sabrina Q. R. Liew, Nathaniel Rex, Celina Hsieh, Hyeonseon Kim, Scott A. Collins, Grayson L. Baird, DaeHee Kim, Aaron W. P. Maxwell

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Optimal Selection of the Reference Potential Probe Point in DCPD Real-Time Monitoring of Crack Growth Rate by He Xue, Siyu Gou, Chenqiang Ni, Liang Zhang, Shuai Wang, Youjun Zhao

“…Finite element method is used to analyze the electric potential field of the compact tensile sample, a mathematical model of the measurability and crack independence of the reference potential difference are constructed, genetic algorithm is used to find the optimal reference potential difference (RPD) probe point position, and finally, the crack monitoring experiments are performed to evaluate the feasibility of algorithm optimization results. …”
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Inversion of Leaf Chlorophyll Content in Different Growth Periods of Maize Based on Multi-Source Data from “Sky–Space–Ground” by Wu Nile, Su Rina, Na Mula, Cha Ersi, Yulong Bao, Jiquan Zhang, Zhijun Tong, Xingpeng Liu, Chunli Zhao

“…On a regional scale, the LCC inversion model also yielded good results (train R² = 0.76, test R² = 0.88, RMSE = 18.83 mg/m²). In conclusion, the method proposed in this study not only significantly improves the accuracy of traditional methods but also, with its outstanding versatility, can achieve rapid, non-destructive, and precise crop growth monitoring in different regions and for various crop types, demonstrating broad application prospects and significant practical value in precision agriculture.…”
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Parameter Calculation and Rotor Structure Optimization Design of Solid Rotor Induction Motors by Hao Xu, Jinghong Zhao, Sinian Yan

“…On this basis, with efficiency, power factor, starting torque and starting current as the optimization objectives, and the number of slots, slot depth, slot width, squirrel cage material and end ring thickness as the optimization variables, the optimization schemes of slotted rotor and squirrel cage rotor are obtained by using the three-dimensional finite element method. …”
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