The Optimization of a Ternary Blend Using Grey Relation Analysis with the Taguchi Method for the Improved Performance and Reduction of Exhaust Emissions by Ganesh G. Naik, Hanumant M. Dharmadhikari, Sunil A. More, Ioannis E. Sarris

“…The best blending ratios are determined through a methodical process that employs optimization tools such as Grey Relation Analysis (GRA) with the Taguchi Method and ANOVA for validation. …”
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Search for Optimal Parameters for Gas Chromatographic Complex When Determining Sarin in Water Samples by Flame Photometric Detection Method by V. А. Ignatyev, L. V. Petrakova, М. А. Ponsov, А. А. Rodionov

“…In comparison with the initial method, the offered one is more sensitive in case of sarin concentration in water in the range from 6×10-6 to 1×10-4 mg/ml to 1,7 times. …”
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Probabilistic back analysis method for determining surrounding rock parameters of deep hard rock tunnel by WU Zhong-guang, WU Shun-chuan

“…The traditional deterministic back analysis method cannot reflect the uncertainty characteristics of tunnel wall parameters; therefore, within the framework of Bayesian theory, a probabilistic back analysis method based on integrating multi-source monitoring information was proposed for determining the surrounding rock parameters of deep hard rock tunnel. …”
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Distributed Relative Pose Estimation for Multi-UAV Systems Based on Inertial Navigation and Data Link Fusion by Kun Li, Shuhui Bu, Jiapeng Li, Zhenyv Xia, Jvboxi Wang, Xiaohan Li

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Microgrid Energy Management Considering Energy Storage Degradation Cost by Yiming Zhao, Hongrui Li, Changsheng Wan, Dong Du, Bo Chen

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Accurate GRACE terrestrial water storage estimations via a new fusion method by Min Dai, Hao Zhou, Wenjing Ma, Shuyun Zheng, Mingyang Xia, Yaozong Li, Zhicai Luo

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A Method for Identifying Key Areas of Ecological Restoration, Zoning Ecological Conservation, and Restoration by Shuaiqi Chen, Zhengzhou Ji, Longhui Lu

“…Focusing on the Henan section of the Yellow River Basin, this study established the regional ESP and conservation–restoration framework through an integrated approach: (1) assessing four key ecosystem services—soil conservation, water retention, carbon sequestration, and habitat quality; (2) identifying ecological sources based on ecosystem service importance classification; (3) calculating a comprehensive resistance surface using the entropy weight method, incorporating key factors (land cover type, NDVI, topographic relief, and slope); (4) delineating ecological corridors and nodes using Linkage Mapper and the minimum cumulative resistance (MCR) theory; and (5) integrating ecological functional zoning to synthesize the final spatial conservation and restoration strategy. …”
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Unrolled Optimization via Physics-Assisted Convolutional Neural Network for MR-Based Electrical Properties Tomography: A Numerical Investigation by Sabrina Zumbo, Stefano Mandija, Ettore F. Meliado, Peter Stijnman, Thierry G. Meerbothe, Cornelis A.T. van den Berg, Tommaso Isernia, Martina T. Bevacqua

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An integrated graph-spatial method for high-performance geospatial-temporal semantic query by Zichen Yue, Wei Zhu, Xin Mei, Shaobo Zhong

“…To address this issue, we propose GraST, a geospatial-temporal semantic query optimization method that integrates property graphs and relational databases. …”
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Green extraction method and microencapsulation of tannins from young coconut husks-based food waste using gelatin/nanofiber cellulose by Luh Putu Wrasiati, Ardhinata Antares, Anak Agung Made Dewi Anggreni, Bambang Admadi Harsojuwono, Ida Bagus Wayan Gunam, Vilas Nitivattananon, I Wayan Arnata

“…This study aims to extract tannins from young coconut husks using an eco-friendly method, optimizing temperature and the gelatin/cellulose nanofiber (NFC) ratio as encapsulants to achieve optimal microcapsule characteristics. …”
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Inverse estimation of the release rate of the heated pollutant source with strong convection and its application to the exhaust system design by Lei Cao, Yi Wang, Yanqiu Huang, Shengnan Guo, Junwei Guo, Yingke Zheng

“…This study is useful for the accurately determining the SCHP source release rate and the optimal design of the exhaust system.…”
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Determination of neutron spectrum parameters at IREN facility using the MCNP simulation and experimental validation by Nhat Le Tran Minh, Cong Vu Duc, Khiem Le Hong, Dinh Nguyen Thi, Thanh Pham Tien, Phi Truong Hoai Bao, Thai Nguyen Thi Xuan, Toan Tran Ngoc, Trung Dinh Van, Binh Nguyen Thanh, Son Nguyen An, Shetsov Valery Nikolaevich, Dmitriev Andrey Yuryevich, Lobachev Valerij Vladimirovich, Borzakov Sergey Borisovich

“…The determination of the characteristics of neutron spectrum at different irradiation positions on the outer wall of moderator chamber of the intense resonance neutron source by simulation method using MCNP code was presented. …”
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Modelling of Green function in a rectangular room based upon the geometrical-filtration model by R. Marczuk, L. Majkut

“…Estimation of room impulse response giving posibility to evaluate the subjective and objective room acoustic properties and hence to run the room simulation tests (the sound sources configuration, the room planning) in order to reach optimal solutions, which meet the given criterion. …”
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Distributed robust scheduling of distribution-microgrid based on deep learning method integration by WANG Yihong, LIU Jichun, QIU Gao, ZHOU Hao, HE Peixin

“…Aiming at the problems such as the uncertainty of distributed power output and the low efficiency of operation in the coupled system scheduling of distribution network and microgrid, an optimized scheduling model of Branch-bar operation with chance constraint based on the integration of deep learning method for distribution network and microgrid interconnection system is proposed. …”
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The optimization of development process of petrol-gas stations network with the purpose to increase energy efficiency by Larisa Jovanović, Dijana Fedjunina, Milan Radosavljević

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Optimizing processing methods for maximum bioactive retention: comparative metabolomic analysis of dried loquat (Eriobotrya japonica) flowers and their powdered extracts by Mingzheng Duan, Jieming Feng, Jing-Han Feng, Xi Wang, Xu Xiao, Shirong He, Hengcui Guo, Wenyan Zhang, Zhumao Jiang, Tongfa Wan, Muhammad Junaid Rao

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Heat transfer optimization in magnetohydrodynamic buoyancy-driven convective hybrid nanofluid with carbon nanotubes over a slippery rotating porous surface by Thirupathi Thumma, Surender Ontela, Devarsu Radha Pyari, S.R. Mishra, Subhajit Panda

“…The current study establishes that the liquid momentum is controlled for the slip flow, thus with the slip condition, the amount of retardation is much higher in comparison with the no-slip condition, and the temperature of the hybrid nanofluid has been raised by a greater heat source coefficient and radiation factor. Further, the sensitivity and optimization analysis of the heat transmission rate is carried out using RSM with face-centered central composite design model of experiments. …”
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Optimal Design of Integrating Two‐Level Artificial Intelligent With Three Degrees of Freedom‐PDF (TLNF‐3DOFPDF) Controller for AGC of Three‐Area Multi‐Sources Power System... by Getaneh Mesfin Meseret, Rajesh Kumhar, Tarkesh Kumar Mahato, Nishant Kumar, Poonam Lakra, M. D. Mofeed Alam

“…Controller parameters are fine‐tuned using a novel metaheuristic method called the Skill Optimization Algorithm (SOA). …”
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A Systematic Analysis of a Small-Scale HAWT Configuration and Aerodynamic Performance Optimization Through Kriging, Factorial, and RSM Methods by Farzad Ghafoorian, Hui Wan, Sahel Chegini

“…This study explores the impact of design parameters, including rotor diameter, hub diameter, blade number, blade chord length distribution, twist angle distribution, and airfoil profile, on the turbine power coefficient. Subsequently, optimization efforts are applied to the results obtained for a 3-blade rotor with SG6043 airfoil profile using three distinct optimization methods: Kriging, factorial, and the classical polynomial Response Surface Method (RSM). …”
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Alzheimer’s Prediction Methods with Harris Hawks Optimization (HHO) and Deep Learning-Based Approach Using an MLP-LSTM Hybrid Network by Raheleh Ghadami, Javad Rahebi

“…This study aims to address these limitations by developing an integrated approach combining swarm intelligence with ML and DL techniques for Alzheimer’s disease classification. <b>Method:</b> This proposal methodology involves sourcing Alzheimer’s disease-related MRI images and extracting features using convolutional neural networks (CNNs) and the Gray Level Co-occurrence Matrix (GLCM). …”
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