Application of Taguchi Experimental Design in Optimization of Levulinic Acid Production from Cellulose Derived From Millet Stalk by Shehu Ibrahim, Abdullahi Sokoto Muhammad, Kabiru Jega Umar, Ibrahim Magami Muhammad

“…Cellulose is the primary component of lignocellulosic biomass and the main source of renewable materials in chemical industry. …”
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Optimal Split Ratio in Double-Stator Permanent-Magnet Motors Considering Loss Limitations for Robot Joint Applications by Tianran He, Yang Shen, Wei Li, Dawei Liang

“…Additionally, an investigation into the electromagnetic characteristics of the optimized DSPM motor was conducted using the finite element method. …”
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Optimal operation for hybrid AC and DC systems under typhoon disaster considering branch switching and frequency security by Changfeng Liao, Li He, Zhuangxi Tan, Bin Xie, Yong Li, Chaoyang Chen, Yijia Cao

“…To address this issue, this paper proposes an optimal operation method for hybrid AC/DC systems with voltage source converters (VSCs) during extreme events. …”
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Optimization of Precious Metals Recovery from Electronic Waste by Chromobacterium violaceum Using Response Surface Methodology (RSM) by Wan Nur Fazlina Abdol Jani, Fatihah Suja’, Sharifah Iziuna Sayed Jamaludin, Nor Fadilah Mohamad, Noor Hidayu Abdul Rani

“…An effective recovery technology will be valuable in the future because the concentration of the precious metal contained in the source can be a key driver in recycling technology. …”
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Dynamic Performance Improvement of a Single-Phase VSI with Digital Implementation of an On-Line Optimal Trajectory Control Algorithm by Shah Zaman, Yan Zhang, Jinjun Liu, Danni Yang, Zhenchao Li

“…A single-phase voltage source inverter (VSI) still suffers from a long settling time and significant voltage overshoot/undershoot under the abrupt step-change of load current. …”
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DynaFusion-SLAM: Multi-Sensor Fusion and Dynamic Optimization of Autonomous Navigation Algorithms for Pasture-Pushing Robot by Zhiwei Liu, Jiandong Fang, Yudong Zhao

“…At the same time, the introduction of multi-source mileage fusion can effectively avoid the phenomenon of large-scale offset or drift in the process of map construction. …”
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The Optimal Scheduling of Integrated Energy System Considering the Incentive and Punishment Mechanism of Electric and Thermal Carbon Emission Factors by Kaiyan Wang, Hengxiang He, Ningning Yang, Xiaowei Wang, Rong Jia

“…To comprehensively explore the potential for carbon reduction through source-load synergy and achieve low-carbon and high-efficiency operation of the system, an IES optimal scheduling method that incorporates a reward and punishment mechanism for dynamic electricity and thermal carbon emission factors is proposed. …”
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GLTDNet: Cross-Domain Road Extraction Through Collaborative Optimization of Global-Local Feature Enhancement and Topological Decoupling by Jie Chen, Changxian He, Hao Wu, Jun Zhang, Siqiang Rao, Songshan Zhou, Jingru Zhu

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Artificial neural network analysis of Jeffrey hybrid nanofluid with gyrotactic microorganisms for optimizing solar thermal collector efficiency by Anup Kumar, Bhupendra K. Sharma, Bandar Almohsen, Laura M. Pérez, Kamil Urbanowicz

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Research on Random Discrete Ordinates Method Based on Quasi-Monte Carlo Integration Technique by DAI Tao, XU Longfei, LI Baiwen, SHEN Huayun, HU Yuan, MA Ruiyao

“…To address this defect, numerous of ray effect mitigation methods were developed. The virtual source method is formulated through the strategic introduction of pseudo-source terms into the SN equations, establishing equivalence with spherical harmonics (PN) formulations to eliminate ray effects. …”

Investigation of Improved Methods in Power Transfer Efficiency for Radiating Near-Field Wireless Power Transfer by Hesheng Cheng, Huakun Zhang

“…Using the same configuration as method two, method three, where the maximum PTE can be increased by regulating the voltage (or power) ratio of the two feeding sources, is proposed. …”
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New improvement ion exchange treatment method for drinking water in Juybar City, Iran by Yasin Nasrollahi, Mojtaba Khoshravesh, Ghasem Aghajani Mazandarani

“…Continuous monitoring and optimization of resin types and volumes are recommended to maintain low turbidity and ensure compliance with safe drinking water standards.…”
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A sonication-assisted method for the production of true-to-life nanoplastics from polymeric materials by Carlos Adelantado, Jasper Charlier, Nancy Dewit, Jan Jordens, Stefan Voorspoels, Kristof Tirez, Milica Velimirovic

“…The objective of this study is to develop and optimize a sonication-assisted method for degrading macroplastics and generating NPs from different real-life polymeric sources. …”
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Gaussian Process Regression Total Nitrogen Prediction Based on Data Decomposition Technology and Several Intelligent Algorithms by WANG Yongshun, CUI Dongwen

“…Total nitrogen (TN) is one of the important indicators to reflect the degree of water pollution and measure the eutrophication status of lakes and reservoirs.To improve the accuracy of TN prediction,based on the empirical wavelet transform (EWT) and wavelet packet transform (WPT) decomposition technology,this paper proposes a Gaussian process regression (GPR) prediction model optimized by osprey optimization algorithm (OOA),rime optimization algorithm (ROA),bald eagle search (BES) and black widow optimization algorithm (BWOA) respectively.Firstly,the TN time series is decomposed into several more regular subsequence components by EWT and WPT respectively.Then,the paper briefly introduces the principles of OOA,ROA,BES,and BWOA algorithms and applies OOA,ROA,BES,and BWOA to optimize GPR hyperparameters.Finally,EWT-OOA-GPR,EWT-ROA-GPR,EWT-BES-GPR,EWT-BWOA-GPR,WPT-OOA-GPR,WPT-ROA-GPR,WPT-BES-GPR,WPT-BWOA-GPR models (EWT-OOA-GPR and other eight models for short) are established to predict the components of TN by the optimized super-parameters.The final prediction results are obtained after reconstruction,and WT-OOA-GPR,WT-ROA-GPR,WT-BES-GPR and WT-BWOA-GPR models based on wavelet transform (WT) are built.Eight models,including EWT-OOA-SVM based on support vector machine (SVM),the paper compares the unoptimized EWT-GPR,WPT-GPR models,and the uncomposed OOA-GPR,ROA-GPR,BES-GPR,and BWOA-GPR models.The models were verified by the monitoring TN concentration time series data of Mudihe Reservoir,an important drinking water source in China,from 2008 to 2022.The results are as follows.① The average absolute percentage error of eight models such as EWT-OOA-GPR for TN prediction is between 0.161% and 0.219%,and the coefficient of determination is 0.999 9,which is superior to other comparison models,with higher prediction accuracy and better generalization ability.② EWT takes into account the advantages of WT and EMD.WPT can decompose low-frequency and high-frequency signals at the same time.Both of them can decompose TN time series data into more regular modal components,significantly improving the accuracy of model prediction,and the decomposition effect is better than that of the WT method.③ OOA,ROA,BES,and BWOA can effectively optimize GPR hyperparameters and improve GPR prediction performance.…”
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Using machine learning methods for long-term technical and economic evaluation of wind power plants by Ali Omidkar, Razieh Es'haghian, Hua Song

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Application of Carbon Quantum Dots in Food Business: A Comprehensive Review by Muhammad Sadiq Naseer, Ali Imran, Qaswaa Yousif Jameel, Ashok Kumar Bishoyi, Faiyaz Ahmed, Ahmed Elawady, Pranchal Rajput, Fakhar Islam, Tahir Zahoor, Abdela Befa Kinki, Saima Naz

“…ABSTRACT The growing demand for efficient, accurate, and affordable methods of evaluating food safety has led scholars to look into cutting‐edge analytical techniques. …”
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Research on accuracy enhancement methods for highway slope deformation monitoring based on the BeiDou system. by Yuhong Luo, Geyu Chen

“…Furthermore, through multi-source data fusion optimization, the improved positioning accuracy reached a 71.16% enhancement, and deformation monitoring accuracy was improved by 66.84%. …”
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Gird Congestion Management Based on the Renewable Energy Zones and Clustering of Grid Congestion Conditions by Yujiro Tanno, Akihisa Kaneko, Yasuhiro Hayashi, Yuki Itoda, Wataru Wayama, Kevin Tomsovic

“…This study proposes a novel output curtailment method of renewable energy sources (RESs) to mitigate grid congestion while balancing curtailment minimization and fairness among power producers, considering the operational efficiency of system operators. …”
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Environmental and health impacts of selected artificial sweeteners: Effectiveness of treatment methods and innovative approaches for mitigation by Marie Joe Sawma, Ramez M. Zayyat, George M. Ayoub, Nasser Mahmassani

“…These methods emphasize sustainability by using renewable energy sources, optimizing operational parameters, and implementing effective waste management strategies. …”
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A PRISMA systematic review through time on predictive musculoskeletal simulations by Menthy Denayer, Eligia Alfio, María Alejandra Díaz, Massimo Sartori, Friedl De Groote, Kevin De Pauw, Tom Verstraten

“…Finally, we call for quantitative validation to establish comprehensive comparisons between methods. To this end, we share a list of works open-sourcing their codes.…”
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