Two-Stage capacity allocation optimization method for user-level integrated energy systems considering user satisfaction and thermal inertia by Shunyu Li, Jing Zhang, Yu He, Gang Lv, Ying Liu, Xiangxie Hu, Zhiyang Wang, Xuan Ao

“…This study proposed a two-stage, capacity-optimization configuration method for user-level energy systems considering thermal inertia and user satisfaction. …”
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RM-MOCO: A Fast-Solving Model for Neural Multi-Objective Combinatorial Optimization Based on Retention by Huiqing Wei, Fei Han, Qing Liu, Henry Han

“…Experimental results show that, while ensuring the quality of problem solving,the proposed method significantly outperforms some other methods in terms of the speed of solving MOCO problems.…”
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Comparing and Optimizing Four Machine Learning Approaches to Radar-Based Quantitative Precipitation Estimation by Miaomiao Liu, Juncheng Zuo, Jianguo Tan, Dongwei Liu

“…The key findings are as follows: (1) For models with a single-variable input, the KAN deep learning model outperformed Random Forest, Gradient Boosting Decision Trees, Support Vector Machines, and the traditional Z-R relationship. (2) When six features were used as inputs, the accuracy of the machine learning models improved significantly, with the KAN deep learning model outperforming other machine learning methods. Compared to using only radar reflectivity, the KAN deep learning model reduced the MRE by 20.78%, MAE by 4.07%, and RMSE by 12.74%, while increasing the coefficient of determination (R²) by 18.74%. (3) The integration of multiple meteorological features and machine learning optimization significantly enhanced QPE accuracy, with the KAN deep learning model performing best under varying meteorological conditions. …”
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Features of using methods and platforms for graphical modelling of business processes of enterprises in the context of digitalisation by V.О. Tkachuk, S.V. Obikhod, K.L. Pokhilchenko, A.O. Mikriukova, K.O. Demianchuk

“…The article argues that it is expedient to change the approach to the perception of business processes, their analysis and optimization in the context of widespread implementation of information technologies at enterprises. …”
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A Lightweight Pavement Defect Detection Algorithm Integrating Perception Enhancement and Feature Optimization by Xiang Zhang, Xiaopeng Wang, Zhuorang Yang

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Common Cast ComplicationsMaster's MethodMaster's MethodMaster's MethodMaster's MethodMaster's MethodMaster's MethodMaster's MethodMaster's MethodMaster's MethodMaster's MethodMaste... by Jessica A. McGraw-Heinrich, MD, Jon C. Wall, MD, Scott B. Rosenfeld, MD

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Single-Level Station Complex Structure for Application of Through Driving Construction Method by A. О. Kolikov, G. P. Pastushkov

“…The available solutions of the metro stations constructed while using a semi-closed method of work have been analyzed in the paper. …”
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Optimization of Active Distribution Network Operation with SOP Considering Reverse Power Flow by Zhanhui Ma, Fang Cao

“…Based on this, a joint optimization model for multiple distribution networks with an SOP is established. …”
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ANALYSIS OF THE OPTIMAL NUMBER OF STAFF NEEDED USING WORKLOAD INDICATOR OF STAFFING NEEDED (WISN) METHOD IN LABORATORY UNIT OF PUBLIC HOSPITAL ANUTAPURA PALU by Muh. Ryman Napirah, Andi Okki Sulistiani

“…One of manpower planning method is Workload Indicator Of Staffing Needed (WISN) that calculated the optimal amount based on workload of employees. …”
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Whole-Body Synergy-Based Balance Control for Quadruped Robots with Manipulators on Sloped Terrains by Ru Kang, Huifeng Ning, Fei Meng, Zewen He

“…To address this, a balance control method based on whole-body synergy is proposed in this study, emphasizing adaptive adjustment of the robot system’s overall balance through effective utilization of the manipulator’s active motion. …”
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Real-Time Intelligent Recognition and Precise Drilling in Strongly Heterogeneous Formations Based on Multi-Parameter Logging While Drilling and Drilling Engineering by Aosai Zhao, Yang Yu, Bin Wang, Yewen Liu, Jingyue Liu, Xubiao Fu, Wenhao Zheng, Fei Tian

“…This paper proposes a real-time intelligent recognition method for strongly heterogeneous formations based on multi-parameter logging while drilling and drilling engineering, which can effectively guide directional drilling operations. …”
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Dynamic task scheduling method for relay satellite networks based on hierarchical reinforcement learning by Runzi LIU, Tianci MA, Weihua WU, Chenhong YAO, Qinghai YANG

“…In recent years, with the increasing number of various emergency tasks, how to control the impact on common tasks while ensuring system revenue has become a huge challenge for the dynamic scheduling of relay satellite networks.Aiming at this problem, with the goal of maximizing the total revenue of emergency tasks and minimizing the damage to common tasks, a dynamic task scheduling method for relay satellite networks based on hierarchical reinforcement learning was proposed.Specifically, in order to take into account the long-term and short-term performance of the system at the same time, a two-layer scheduling framework implemented by upper-level and lower-level DQN was designed.The upper-level DQN was responsible for determining the temporary optimization goal based on long-term performance, and the lower-level DQN determined the scheduling strategy for current task according to the optimization goal.Simulation results show that compared with traditional deep learning methods and the heuristic methods dealing with dynamic scheduling problems, the proposed method can improve the total revenue of urgent tasks while reducing the damage to common tasks.…”
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Method for suppressing range sidelobes of bistatic integrated sensing and communication signal based on LFM by JI Chenxing, LI Peng, ZHANG Tianxiang, GAO Yulong

“…Focusing on modulation schemes and receiver architecture as key points of investigation, two innovative methods were proposed: phase reduction modulation and receiver structure optimization. …”
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Design and Optimization of Stacked Wideband On-Body Antenna with Parasitic Elements and Defected Ground Structure for Biomedical Applications Using SB-SADEA Method by Mariana Amador, Mobayode O. Akinsolu, Qiang Hua, João Cardoso, Daniel Albuquerque, Pedro Pinho

“…This work describes a new on-body microstrip antenna having a stacked structure with parasitic elements, designed and optimized using artificial intelligence (AI). By using an AI-driven design approach, a self-adaptive Bayesian neural network surrogate-model-assisted differential evolution for antenna optimization (SB-SADEA) method to be specific, and a stacked structure having parasitic elements and a defected ground structure with 27 tuneable design parameters, the simulated impedance bandwidth of the on-body antenna was successfully enhanced from 150 MHz to 1.3 GHz, while employing a single and simplified body model in the simulation process. …”
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Comparison of nanopore with illumina whole genome assemblies of the Epstein-Barr virus in Burkitt lymphoma by Isaac E. Kim, Abebe A. Fola, Enrique Puig, Titus Kipkemboi Maina, Sin Ting Hui, Hongyu Ma, Kaleb Zuckerman, Eddy O. Agwati, Alec Leonetti, Rebecca Crudale, Micah A. Luftig, Ann M. Moormann, Cliff Oduor, Jeffrey A. Bailey

“…Abstract Endemic Burkitt lymphoma (eBL) is one of the most prevalent cancer in children in sub-Saharan Africa, and while prior studies have found that Epstein-Barr virus (EBV) type and variation may alter the tumor driver genes necessary for tumor survival, the precise relationship between EBV variation and EBV-associated tumorigenesis remains unclear due to lack of scalable, cost-effective, viral whole-genome sequencing from tumor samples. …”
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Modified Zebra Optimization Algorithm via Design Operators for Modern Power System Planning Problem Solution by Yunus Balci, Serhat Duman

“…This work presents an advanced optimization framework, which incorporates the Zebra Optimization Algorithm (ZOA) with two new improvement strategies: the FFDB method and OBL strategies. …”
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Robust and fast whole brain mapping of the RF transmit field B1 at 7T. by Antoine Lutti, Joerg Stadler, Oliver Josephs, Christian Windischberger, Oliver Speck, Johannes Bernarding, Chloe Hutton, Nikolaus Weiskopf

“…We present an optimized method for fast and robust in-vivo whole-brain B(1) (+) mapping at 7T. …”
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Research on Energy Savings through Floating DO Measuring Device in SBR Wastewater Treatment Method by Byung Woo Kang, Jeong Eun Park, Ja Hoon Koo, Dong Myung Kwon

“…Objectives The objective of this study is to propose an optimal operational control method to ensure stable effluent water quality and reduce treatment costs in the SBR(Sequencing Batch Reactor) wastewater treatment process. …”
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Fluid flow characteristics estimation of a new integrated bifluid/airbased photovoltaic thermal system utilizing a hybrid optimization method by Ghassan A. Bilal, Abdullateef A. Jadallah, Omayma M. Abdulmajeed, Müslüm Arıcı

“…This paper aims to utilize soft computing techniques in predicting the outlet fluids’ temperatures for monitoring based on the experience of outdoor experiments. The optimization was conducted using the Particle Swarm Optimization method to decide the rules of the Fuzzy Logic Controller. …”
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A novel interval prediction method in wind speed based on deep learning and combination prediction by XueJun Chen, Tao Han, Peng Cheng, Xuanfang Da

“…Abstract The combined method for interval forecasting (CMIF) is proposed for improved real-time prediction of wind speed uncertainty to facilitate wind turbine operation and power grid dispatching. …”
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