Optimizing Baffle Length for Mixed Convective Flow Within a Ventilated Square Cavity with Discrete Heat Sources Mounted at Side Walls by Saad Been Mosharof, HM Toufik Ahmed Zisan, Tahmidul Haque Ruvo, Md. Mahmud-Or-Rashid

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Microseismic Electronic Fencing for Monitoring of Transboundary Mining in Mines by Jianbiao Yang, Guangyin Lu, Lei Li, Dazhou Zhang

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The ANFIS-RSM based multi-objective optimization and modelling of ultrasound-assisted extraction of polyphenols from jamun fruit (Syzygium cumini) by Mohammad Ganje, Somayyeh Gharibi, Fatemeh Nejatpour, Maryam Deilamipour, Kimia Goshadehrou, Sahra Saberyan, Gholamreza Abdi

“…In order to optimize polyphenol extraction from ripe jamun fruit pulp, including traditional and ultrasound-assisted methods, this study assessed the prediction power of response surface methodology (RSM) and adaptive neuro-fuzzy inference systems (ANFIS). …”
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Multi-Objective Optimization of Buildings’ Exterior Wall Insulation Based on Comprehensive Analysis Models and Assessment Indexes by Haitao Wang, Zhu He, Chengzhou Guo

“…A multi-objective optimization method is presented for exterior wall insulation in buildings based on the equivalent full-load hours-based energy consumption (EFLHEC) prediction method, comprehensive analysis(economic, energy, and carbon emission) models, and assessment indexes. …”
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Intelligent Operation and Maintenance of Wind Turbines Gearboxes via Digital Twin and Multi-Source Data Fusion by Tiantian Xu, Xuedong Zhang, Wenlei Sun, Binkai Wang

“…To address these issues, this study systematically explores an intelligent operation and maintenance method for wind turbines, utilizing digital twin technology and multi-source data fusion. …”
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Air-side Thermal-hydraulic Analysis and Parametric Optimization for Vertical-fin Microchannel Heat Exchanger by Zhao Rijing, Wei Xinghua, Huang Dong, Li Feng, Zhao Yongfeng

“…Finally, parametric optimization was conducted using the Taguchi method. …”
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Establishing Functional Model of Photometric Performance of Trichromatic Light Sources in Chromaticity Diagrams by Qi Yao, Wanlu Zhang, Lu Zhang, Yu Bian

“…The functional models quantify all the photometric characteristics in the gamut area and can predict the performances for different synthesis of trichromatic light sources. Using the proposed model, it is possible to evaluate the present performance of trichromatic light sources and provide a method for optimization. …”
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Minimization of total costs for distribution systems with battery energy storage systems and renewable energy sources by Thai Dinh Pham, Thang Trung Nguyen, Le Chi Kien

“…Thus, this research introduces a powerful method called modified coyote optimization algorithm (MCOA) for identifying the optimal installation of wind turbine farms (WFs), photovoltaic farms (PVFs), and battery energy storage systems (BESS) in IEEE 123-bus unbalanced distribution system (UDS) and Nha Be 55-bus balanced distribution system (BDS) in Nha Be District, Ho Chi Minh City, Vietnam to minimize total costs. …”
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Optimization of Two Methods for the Rapid and Effective Extraction of Quinine from <i>Cinchona officinalis</i> by Gianella Ochoa, Leonardo Armijos, Jorge G. Figueroa, Ximena Jaramillo-Fierro, Natalí Solano-Cueva

“…This study successfully optimized two advanced extraction methods, microwave-assisted extraction (MAE) and ultrasound-assisted extraction (UAE), for the efficient and rapid recovery of quinine from <i>Cinchona officinalis</i>. …”
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Comparison in the Structure and Physicochemical Properties of Soybean Dregs Insoluble Dietary Fiber from Different Sources by Chenhao ZHAO, Wenhao LIU, Bo LI, Sainan WANG, Hansong YU, Wei YU

“…This study aimed to prepare soybean dregs insoluble dietary fiber generated from the processing of traditional soybean products (TBP-IDF) and to compare the differences in structure and physicochemical properties between it and insoluble dietary fiber prepared from soybean protein isolate processing by-products (SPI-IDF). The optimal degreasing process of soybean dregs was optimized by single-factor experiments and response surface methodology. …”
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Multi-objective particle swarm optimization algorithm-based method for optimal placement and sizing of distributed generations and shunt capacitors in a radial distribution network by Pinank Patel, Nagaraj Patil, Ahmed Mohsen, Aditya Kashyap, Nofal Adrees Hasan, Karthikeyan A, Dhirendra Nath Thatoi, Deepak Gupta, Alireza kamranfar

“…The objective function, which includes power losses, voltage profile enhancement, and related costs, is optimized through the Multi-Objective Particle Swarm Optimization (MOPSO) method. …”
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Analysis and Optimization of Dysprosium-Doped Yellow Fiber Lasers for Ophthalmology Applications by Foroogh Khozeymeh, Federica Poli, Wahida Chowdhury, Annamaria Cucinotta

“…In this paper, a Forward Time Centered Space (FTCS) method and an analytical method have been developed to fully investigate the <inline-formula><tex-math notation="LaTeX">$^{4}F_{9/2}$</tex-math></inline-formula> to <inline-formula><tex-math notation="LaTeX">$^{6}H_{13/2}$</tex-math></inline-formula> lasing transition of a dysprosium Dy<inline-formula><tex-math notation="LaTeX">$-$</tex-math></inline-formula>doped ZBLAN fiber which provides the potential of highly efficient yellow laser direct generation. …”
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Performance Prediction and Analysis of Solar-Assisted Ground-Source Heat Pump Systems in Typical Rural Areas, China by Ying Cao, Zhibin Zhang, Guosheng Jia, Jianyu Zhai, Jianke Hao, Meng Zhang, Liwen Jin

“…The solar-assisted ground-source heat pump (SAGSHP) system is a novel heating system that effectively combines the advantages of both solar and geothermal energy. …”
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Cable External Breakage Source Localization Method Based on Improved Generalized Cross-Correlation Phase Transform with Multi-Sensor Fusion by Xuwen Wang, Jiang Li

“…In response to the need for cable outer sound source localization, this paper proposes a collaborative localization method based on an improved generalized cross-correlation phase transform (GCC-PHAT) and multi-sensor fusion. …”
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Source Tracing of Raw Material Components in Wood Vinegar Distillation Process Based on Machine Learning and Aspen Simulation by Siqi Liao, Wanting Sun, Haoran Zheng, Qiyang Xu

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Research on Time Series Interpolation and Reconstruction of Multi-Source Remote Sensing AOD Product Data Using Machine Learning Methods by Huifang Wang, Min Wang, Pan Jiang, Fanshu Ma, Yanhu Gao, Xinchen Gu, Qingzu Luan

“…This study aims to develop a high-precision method to fill spatial AOD missing values and generate daily full-coverage AOD products for the Beijing–Tianjin–Hebei region in 2021 by integrating multi-dimensional data, including meteorological models, multi-source remote sensing, surface conditions, and nighttime light parameters, and applying machine learning methods. …”
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Impact of the Spatiotemporal Relationship Between Blast Source and Protected Area on Wave Arrival Sequence and Vibration Control Methods in Bench Blasting by Sijie Wang, Haojun Wu, Min Gong, Xiaodong Wu

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Sentiment Analysis Algorithm Based on Deep Transfer Learning for Multi-Source Data Fusion by Long Qin

“…The cross entropy loss and Matthews correlation coefficient confirm the reliability of this method for sentiment orientation recognition in multi-source data. …”
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Illumination in Museums: Four-Primary White LEDs to Optimize the Protective Effect and Color Quality by Rui Dang, Nan Wang, Gang Liu, Ye Yuan, Jie Liu, Huijiao Tan

“…Meanwhile, the color quality of light sources is also of great importance, and there is a lack of methodology for obtaining light sources with optimized spectra to simultaneously achieve the protective effect and ensure the color quality. …”
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A novel CFD-MILP-ANN approach for optimizing sensor placement, number, and source localization in large-scale gas dispersion from unknown locations by Yiming Lang, Michelle Xin Yi Ng, Kai Xiang Yu, Binghui Chen, Peng Chee Tan, Khang Wei Tan, Weng Hoong Lam, Parthiban Siwayanan, Kek Seong Kim, Thomas Shean Yaw Choong, Joon Yoon Ten, Zhen Hong Ban

“…The source localization model was again realized by the ANN model with optimized sensors data. …”
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