A comprehensive review of dwell time optimization methods in computer-controlled optical surfacing by Tianyi Wang, Xiaolong Ke, Lei Huang, Qingqing Cui, Zili Zhang, Chunjin Wang, Hyukmo Kang, Weslin Pullen, Heejoo Choi, Daewook Kim, Vipender Negi, Qian Kemao, Yi Zhu, Stefano Giorgio, Philip Boccabella, Nathalie Bouet, Corey Austin, Mourad Idir

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Review of Thermal Calculation Methods for Boilers—Perspectives on Thermal Optimization for Improving Ecological Parameters by Bartosz Ciupek, Andrzej Frąckowiak

“…A reasonable energy transition should be based on the direction of the thermal optimization of already functioning structures and adaptation of their operating parameters to the planned new ecological fuels in the sense of the intensification of energy converted from primary form to thermal energy, and in the last step, it should reorganize the energy and industrial sectors, leaving only these groups of devices treated as a stable and necessary source of energy. …”
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Prediction Method of Lithology Log Based on XGBoost Algorithm by CHU Qingjun, GE Yunlong, TONG Maosong, WANG Yan, AN Lyuxing, YU Chuanwu, JIA Xin

“…The XGBoost algorithm has been applied in the logging field, and it provides a new method for improving the accuracy of lithology logging data.…”
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A tutorial review of policy iteration methods in reinforcement learning for nonlinear optimal control by Yujia Wang, Xinji Zhu, Zhe Wu

“…Reinforcement learning (RL) has been a powerful framework for designing optimal controllers for nonlinear systems. This tutorial review provides a comprehensive exploration of RL techniques, with a particular focus on policy iteration methods for the development of optimal controllers. …”
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Probabilistic Optimization Method for Pilot-Bus Selection and Network Partitioning of AC/DC System by Wei YAN, Biao YANG, Jingshan MO, Youbin ZHOU, Tao WANG, Fan XIAO

“…To ensure higher voltage control ability of regional power supply to the converter bus, a probabilistic optimization method for pilot-bus selection and network partitioning of AC/DC system is proposed in this paper. …”
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Deep learning vulnerability detection method based on optimized inter-procedural semantics of programs by Yan LI, Weizhong QIANG, Zhen LI, Deqing ZOU, Hai JIN

“…In recent years, software vulnerabilities have been causing a multitude of security incidents, and the early discovery and patching of vulnerabilities can effectively reduce losses.Traditional rule-based vulnerability detection methods, relying upon rules defined by experts, suffer from a high false negative rate.Deep learning-based methods have the capability to automatically learn potential features of vulnerable programs.However, as software complexity increases, the precision of these methods decreases.On one hand, current methods mostly operate at the function level, thus unable to handle inter-procedural vulnerability samples.On the other hand, models such as BGRU and BLSTM exhibit performance degradation when confronted with long input sequences, and are not adept at capturing long-term dependencies in program statements.To address the aforementioned issues, the existing program slicing method has been optimized, enabling a comprehensive contextual analysis of vulnerabilities triggered across functions through the combination of intra-procedural and inter-procedural slicing.This facilitated the capture of the complete causal relationship of vulnerability triggers.Furthermore, a vulnerability detection task was conducted using a Transformer neural network architecture equipped with a multi-head attention mechanism.This architecture collectively focused on information from different representation subspaces, allowing for the extraction of deep features from nodes.Unlike recurrent neural networks, this approach resolved the issue of information decay and effectively learned the syntax and semantic information of the source program.Experimental results demonstrate that this method achieves an F1 score of 73.4% on a real software dataset.Compared to the comparative methods, it shows an improvement of 13.6% to 40.8%.Furthermore, it successfully detects several vulnerabilities in open-source software, confirming its effectiveness and applicability.…”
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Enhancement method of series hybrid ship energy efficiency for speed and energy collaborative optimization by Yupeng Yuan, Xiaoyu Wang, Liang Tong, Chengqing Yuan, Boyang Shen, Teng Long

“…Our findings demonstrated that this optimization method can distribute the output of the power source in a better way, thereby optimising the speed of the vessel and maintaining stable sailing. …”
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Optimized Method to Generate Well-Characterized Macrophages from Induced Pluripotent Stem Cells by Qimin Hai, Peter Bazeley, Juying Han, Gregory Brubaker, Jennifer Powers, Claudia M. Diaz-Montero, Jonathan D. Smith

“…<b>Methods</b>: We refined the traditional embryoid body-based differentiation strategy to create a novel three-phase method that optimizes yield, consistent quality, and reproducibility. …”
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A Single Phase Inverter Using The Unipolar Sinusoidal Pulse Width Modulation Method by Muhammad Iskandar Iskandar, Panca Mudjirahardjo, Bambang Siswojo

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A Novel Method for News Recommendation on Websites Using the Clustered-Vectors Optimization Algorithm by Piyanuch Chaipornkaew, Thepparit Banditwattanawong

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Optimizing the Hexagonal Fuzzy Transportation Problem With the Novel Dhouib-Matrix-TP1 Method by Souhail Dhouib, Aida Kharrat, Taicir Loukil, Habib Chabchoub

“…Transportation Problem (TP) is considered a combinatorial optimization problem, and its aim is to minimize the total transportation cost from several sources to different destinations. …”
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Design of Optimization Method for Light Energy Utilization in Fiber Optic Day-lighting System by WANG Yifang, JIA Xiaoyu, YU Chunrong

“…【Methods】A fiber optic probe structure is designed to address the issue of real-time alignment of sunlight, targeting the nonlinear response of zenith angle. …”
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Research on Reactor Radiation Shielding Optimization Method Based on Multi-objective Evolutionary Algorithm by LIU Chengwei1, 2, CHEN Zhenping1, 2, , YANG Chao1, 2, ZHANG Huajian1, 2, SUN Aikou1, 2, LEI Jichong1, 2, YU Tao1, 2

“…Traditional multi-objective optimization methods for radiation shielding suffer from limitations such as a restricted number of optimization objectives, a limited set of optimization parameters, and suboptimal global optimization, rendering them inadequate for intelligent radiation shielding design. …”

Comparison and Optimization of Sr Isotope Analysis in Carbonate Rocks by Multiple-step Leaching Method by Xu PAN, Ziwei SUN, Jiwei GAO, Hongmei GONG, Xiaohong WANG, Meng DUAN, Yuanyuan XIAO

“…In the future, the experimental methods will be further improved to encompass samples from diverse sources and varying purity, thereby ensuring the reliability and universality of the experimental approach.…”
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Optimizing the thermal treatment procedure using electrochemical methods to improve the performance of vanadium redox flow batteries by Mohammad Rahimi, Filippo Fenini, Anders Bentien

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Leveraging Open-Source Large Language Models for Data Augmentation in Hospital Staff Surveys: Mixed Methods Study by Carl Ehrett, Sudeep Hegde, Kwame Andre, Dixizi Liu, Timothy Wilson

“…MethodsThe surveys were designed to elicit narratives of everyday adaptation by frontline radiology staff during the initial phase of the COVID-19 pandemic. …”
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Multi-time scale source and load intelligent scheduling method for distribution network based on multi-agent game by Tang Junci, Li Tie, Pi Junbo, Wang Mingkai

“…Considering that the user demand will affect the effect of multi-time scale source load intelligent dispatching in distribution network to a certain extent, a multi-agent game based multi-time scale source load intelligent dispatching method is proposed. …”
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Open-source electronics Arduino platform for soil water measurement with the dual-probe heat-pulse (DPHP) method by Shinsuke Aoki, Tamir Kamai

“…In this manuscript, we report on implementation of this method using a custom-made inexpensive open-source electronic hardware measurement system, based on the Arduino Uno platform. …”
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Solving the Single-Source Capacitated Facility Location Problem Using a Crow Search-Based Hybrid Method by Wangyue Xu, Martino Luis, Baris Yuce

“…The Single Source Capacitated Facility Location Problem (SSCFLP) stands as a pivotal yet highly complex challenge in facility location science, underpinning real-world supply chains where single-sourcing constraints are critical for service quality and operational efficiency. …”
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Optimization Scheduling of Multiple Heterogeneous Energy Sources by Ying Zhao, Zhiwen Yu, Xiaobin Wang, Jianlin Tang, Xiaoming Lin, Fan Zhang, Bin Qian

“…The discussion revolves around the methods of multi-source heterogeneous energy optimization scheduling to achieve intelligent scheduling and efficient operation of energy systems. …”
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