Optimal Operation of CCHP Smart Distribution Grid with Integration of Renewable Energy by Ghassan A. Bilal, Mohammed K. Al-Saadi, Ghaidaa A. Al-Sultany, Wisam Abed Kattea Al-Maliki

“…Recently, electric distribution grids supply not only electric loads but also heating and cooling loads simultaneously to increase the efficiency of the system and reduce the emission of greenhouse gases. …”
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Optimal Capacity Configuration of Residential Solar-Hydrogen Coupling Energy System with Hydrogen Vehicle Load by Zhenlan DOU, Chunyan ZHANG, Huirong ZHAO, Yuqi YAO, Daogang PENG

“…Secondly, by setting the capacity of the equipment in the system as the optimization variable, and the minimization of annual investment cost of the system as the objective function, the reliability of energy supply and other factors as the constraints, the system optimal capacity configuration model is established. …”
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Convolutional neural networks for accurate estimation of canopy cover by F. Puig, R. Gonzalez Perea, A. Daccache, M.A. Soriano, J.A. Rodríguez Díaz

“…Canopy Cover (CC) is a key variable in agriculture, providing critical information on crop growth and health. …”
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A Multi-Objective PSO-GWO Approach for Smart Grid Reconfiguration with Renewable Energy and Electric Vehicles by Tung Linh Nguyen, Quynh Anh Nguyen

“…Notably, the approach achieves substantial reductions in power losses during peak demand periods with distributed generation incorporation while maintaining voltage profiles within the stringent operational bounds of 0.94 to 1.0 per unit, thus ensuring stability amidst variable load conditions. Comparative analyses further demonstrate that the hybrid method surpasses conventional optimization techniques, as evidenced by enhanced convergence rates and superior objective function outcomes. …”
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Food Supply Chain: A Framework for the Governance of Digital Traceability by Maria Bonaria Lai, Daniele Vergamini, Gianluca Brunori

“…Under the context of increasing demand for transparency, efficiency, and trust in food systems, digital traceability is emerging as a key strategy for improving value creation across agri-food supply chains. …”
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Elastic Stress and Plastic Zone Distributions around a Deeply Buried Tunnel under the Nonhydrostatic Pressure by Shuhong Liu, Jinlu Fan, Chenhao Wu, Yongquan Zhu

“…Based on Muskhelishvili’s complex variable function, the analytical solution for the elastic stress around a deeply buried noncircular tunnel under the nonhydrostatic pressure is firstly derived. …”
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On the Modular Design Application for the Gas Turbine Sector: A Performance Optimization Approach in the Context of Industry 4.0 by Lucas Chavanel-Precloux, Roland Maranzana, Lucas A. Hof

“…Indeed, this study presents the functioning of the novel application, the different deployed components and their variables, such as the compressor efficiency, heat exchangers, or turbine stages, and the decision variable, e.g., the costs of generated energy. …”
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Generalized Type-2 Fuzzy Approach for Parameter Adaptation in the Whale Optimization Algorithm by Leticia Amador-Angulo, Oscar Castillo, Patricia Melin, Zong Woo Geem

“…The efficiency of a fuzzy WOA with a GT2FLS (FWOA-GT2FLS) is highlighted by presenting the excellent results of the case study of the benchmark function optimization. …”
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Skin Lesion Image Segmentation Algorithm Based on MC-UNet by Guihua Yang, Bingxing Pan

“…Finally, the network’s segmentation accuracy is improved through the use of a new loss function called MixLoss, which combines BceLoss and DiceLoss. …”
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Path integral for multiplicative noise: Generalized Fokker-Planck equation  and entropy production rate in stochastic processes with threshold by F. S. Abril-Bermúdez, C. J. Quimbay, J. E. Trinidad-Segovia, M. A. Sánchez-Granero

“…Then, using the Parisi-Sourlas method, we estimate the transition probability between states of a stochastic variable [X(t)] based on the cumulant-generating function (K_{η}) of the noise. …”
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Parameter Calculation and Rotor Structure Optimization Design of Solid Rotor Induction Motors by Hao Xu, Jinghong Zhao, Sinian Yan

“…On this basis, with efficiency, power factor, starting torque and starting current as the optimization objectives, and the number of slots, slot depth, slot width, squirrel cage material and end ring thickness as the optimization variables, the optimization schemes of slotted rotor and squirrel cage rotor are obtained by using the three-dimensional finite element method. …”
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Sustitución parcial de alimento balanceado comercial por saccharina rústica en pollo de engorde by Dixon Fabián Flórez-Delgado, Jesús Esteban Fonseca-García, Dubel Reinaldo Cely-Leal

“…During the development of the study, productive indicators such as feed intake, weight gain (WG), feed efficiency (FE), feed conversion ratio (FC), carcass yield (CY), productivity index (PI), European production efficiency factor (EPF), and feed costs were measured. …”
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Thermo-economic optimization of a hybrid solar-wind energy system for the production of clean hydrogen and electricity by Ali Bedakhanian, Akbar Maleki, Siavash Haghighat

“…The objective functions included total cost rate and total exergy efficiency. …”
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Fuzzy Controller Design Optimized by the Grasshopper Algorithm to Realize Maximum Power in Photovoltaic Systems by Kamran Safaei, Aida Esmaeilian-Marnani, Hossein Emami, Amir Hossein Zaeri

“…In the simulation, the power value using the proposed algorithm is 182.3 watts and the cell efficiency in this case is 99.97%. Therefore, the achieved results show at least 0.03% and 1.2% improvement, respectively in power and efficiency, compared to some examined methods. …”
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Response Surface Optimization of CuS Photocatalytic Process Using UV‐vis Irradiation for Wastewater Treatment by Caressa Munien, Emmanuel Kweinor Tetteh, Sudesh Rathilal

“…Thus, this study aimed to optimize the operating parameters of the photocatalytic degradation process using copper sulphide (CuS) and UV‐visible irradiation via response surface methodology (RSM) to determine the relationship that exists between the most significant factors and the water quality parameters. The efficiency of the CuS photocatalyst was evaluated as a function of three input variables viz. …”
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Online identification of stability region for large-scale wind farms, Part I: Clustering based piecewise affine impedance modeling by Jia Luo, Peng Wang, Haoran Zhao, Chenxinwei Yuan, Tiancheng Liu, Vladimir Terzija

“…In each partition, the impedance is expressed as a first-order explicit function of the complex variable and the operating state variables. …”
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Preventive-Corrective Control for Static Voltage Stability Under Multiple <tex>$N-1$</tex> Contingencies Considering Wind Power Uncertainty by Yuerong Yang, Shunjiang Lin, Qiong Wang, Mingbo Liu, Qifeng Li

“…The chance constraints of the static voltage stability margins (SVSMs) in the normal operation state and after each <tex>$N-1$</tex> contingency are included. The approximate functions between the probability density functions (PDFs) of SVSMs and load shedding quantity with respect to preventive control variables are obtained to transform the expectation of load shedding quantity and the SVSM chance constraints into deterministic expressions. …”
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定中心距齿轮参数优化设计 by 李云鹏, 张科, 邓晓丽

“…Under the constant center distance conditions,according to the use of the transmission system requirements,selection of the appropriate design variables,constraint conditions and the objective function and using the complex method,the tooth parameters optimization design is carried out.Through the program,the optimized tooth parameter is calculated,the design efficiency is improved.…”
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Crop classification with deep convolutional neural network based on crop feature by Mohamad Reza Gili, Davoud Ashourloo, Hosein Aghighi, Ali Akbar Matkan, Alireza SHakiba

“…Due to the spectral overlap of the crops in some time periods, network training was associated with a relatively high loss and therefore, for the test area, the overall classification accuracy was 69% (percent) and the kappa coefficient was 0.55. In the next step, the functions that were developed as phenological features for crops were applied on the time series of the bands, and for each crop, a feature channel was obtained as the special feature of that crop. …”
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RDM-YOLO: A Lightweight Multi-Scale Model for Real-Time Behavior Recognition of Fourth Instar Silkworms in Sericulture by Jinye Gao, Jun Sun, Xiaohong Wu, Chunxia Dai

“…Additionally, the minimum point distance intersection over union (MPDIoU) loss function is proposed to enhance bounding box regression efficiency, mitigating challenges posed by overlapping targets and positional deviations. …”
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