Loss Function Optimization Method and Unsupervised Extraction Approach D-DBSCAN for Improving the Moving Target Perception of 3D Imaging Sonar by Jingfeng Yu, Aigen Huang, Zhongju Sun, Rui Huang, Gao Huang, Qianchuan Zhao

“…Compared to 2D sonar images, 3D sonar images offer superior spatial positioning capabilities, although the data acquisition cost is higher and lacks open source references for data annotation, target detection, and semantic segmentation. …”
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A data driven framework for optimizing droplet microfluidics with residual block and Fourier enhanced networks by Alireza Samari, Kamal Jannati, Azadeh Jafari

“…To facilitate practical applications, we developed DesignFlow—an open-source platform that automates the design and optimization of microfluidic devices. …”
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Performance evaluation, prediction analysis and optimization of experimental ORC using artificial neural networks (ANN) by Diki Ismail Permana, Federico Fagioli, Maurizio De Lucia, Dani Rusirawan, Istvan Farkas

“…While many experimental studies on ORC have been conducted, significant gaps remain in accurately predicting unknown or unmeasured data and identifying optimal operating conditions. This research addresses these challenges using machine learning, specifically an artificial neural network (ANN), a self-learning and nonlinear method capable of approximating complex functions, making it ideal for ORC prediction models. …”
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LOCAL HEIGHT CALCULATION ERRORS IN THE PLANET SURFACE RELIEF RETRIEVED FROM IMAGES BY THE IMPROVED PHOTOCLINOMETRY METHOD by I. A. Dulova, N. V. Bondarenko

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Exploration of comprehensive two-dimensional liquid chromatography: Theoretical aspects and practical considerations - A tutorial by Katia Arena, Francesco Cacciola, Roberto Laganà Vinci, Paola Dugo, Luigi Mondello

“…The profits of such a technique, compared to the 1D-LC approach, are the increased resolving power along with significant reduced ion enhancement or suppression phenomena in the MS source. This tutorial aims to provide detailed information on theoretical and practical aspects of the LC×LC approach with a particular focus on column combination, method optimization and separation performance. …”
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Neural Network-Based Coordinated Virtual Inertia Allocation Method for Multi-Region Distribution Systems by Heng Liu, Jingtao Zhao, Zhi Wu, Shu Zheng

“…Therefore, this study provides a foundational method and a feasible approach to multi-area virtual inertia optimization allocation in the new distribution system, contributing to frequency support via virtual inertia in distribution network optimization operation.…”
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Introducing Cu(II) onto SiO₂-TiO₂ with Rice Husk Ash as the Source of Silica and Its Catalytic Activity for Kumada Cross-coupling Reaction to Produce Biphenyl... by Dewi Agustiningsih, Nuryono Nuryono, Sri Juari Santosa, Eko Sri Kunarti

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Refined Urban Functional Zones Identification via Empirical Bayesian Kriging: A POI-Weighted Scoring Innovation by Xuan Du, Yisha Pan, Xiaoyan Yang, Longgao Chen, Liangchen Liu, Ying Lin

“…Additionally, the incorporation of multi-source data enables the extraction of traffic and ecological zones, facilitating the identification of non-building-reliant zones within the city, thereby enhancing the completeness and comprehensiveness of urban spatial recognition. 3) The overall accuracy achieved is 84.4%, with a Kappa coefficient of 0.804 for the classification results, which represents a significant improvement in UFZs identification accuracy compared to traditional methods and offers a robust scientific basis for urban planning and resource optimization.…”
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Valorization of Edible Oil Industry By-Products Through Optimizing the Protein Recovery from Sunflower Press Cake via Different Novel Extraction Methods by Christoforos Vasileiou, Maria Dimoula, Christina Drosou, Eleni Kavetsou, Chrysanthos Stergiopoulos, Eleni Gogou, Christos Boukouvalas, Magdalini Krokida

“…Extraction parameters were optimized using response surface methodology (RSM) for each method. …”
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Underwater Sound Speed Profile Inversion Based on Res-SACNN from Different Spatiotemporal Dimensions by Jiru Wang, Fangze Xu, Yuyao Liu, Yu Chen, Shu Liu

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Impact of variable thermal conductivity on couple-stress Casson fluid flow through a microchannel with catalytic cubic reactions by Roja Ajjanna, Khan Umair, Sollapur Shrishail B., Singh Rahul, Prakash Chander, Elattar Samia

“…This study analyses the entropy and heat transfer characteristics of couple-stress Casson fluid in a porous vertical microchannel, incorporating the effects of isothermal cubic autocatalytic chemical reactions, variable thermal conductivity, uniform heat source/sink, and thermal radiation. The governing equations are transformed into dimensionless form and solved numerically using the fourth and fifth-order Runge-Kutta-Fehlberg method. …”
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Data-driven robust optimization for energy and reserve scheduling considering multi-uncertainty by Zuqing Zheng, Guo Chen, Zixiang Shen, Zhaoyang Dong

“…The intermittency of renewable energy sources and unscheduled outages threaten power system security, increasing the need for operational flexibility. …”
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Comprehensive Performance and Economic Analyses of Transcritical CO₂ Heat Pump Water Heater Suitable for Petroleum Processes and Heating Applications by Dongxue Zhu, Chaohe Fang, Shejiao Wang, Yafei Xue, Liaoliang Jiang, Yulong Song, Feng Cao

“…Through the dynamic simulation method, theoretical support is provided for the optimization of energy-saving control strategies in cold regions, and thoughts are offered regarding the application of transcritical CO₂ systems under similar climatic conditions.…”
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Addressing ORPD problem in a standard IEEE power network accompanied with RESs and FACTs appliances by COMMKE under volatile load scenarios by Susanta Dutta, Tushnik Sarkar, Chandan Paul, Sabbir Reza Tarafdar, Provas Kumar Roy, Ghanshyam G. Tejani, Seyed Jalaleddin Mousavirad

“…Comparative analysis has also been done on the performance of the other optimization methods that were showcased in the latest ORPD research. …”
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Current situation of comprehensive utilization of coal gangue and exploration of ways of high-value utilization:A case study of China National Coal Group Corporation by Lei ZHU, Wenzhe GU, Zhiwei HE, Chengyong LIU, Mengye ZHAO, Tianqi SONG, Yun ZHANG, Yuyi WU, Zhicheng LIU, Xinfu ZHANG, Peng ZHANG, Fengtian SHENG

“…However, the comprehensive utilization method lacks systematic, compound, and leading scientific utilization methods. …”
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Primary care experiences of family caregivers using the same medical facility as their care recipient or a different facility by Gen Nakayama, Shoichi Masumoto, Junji Haruta, Tetsuhiro Maeno

“…Abstract Background Family caregivers and care recipients do not always have the same usual source of care, which may create barriers to providing optimal care for caregivers. …”
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Carbon emission accounting for peak-shaving LNG plant and suggestions on emission reduction countermeasures by Hengjin HU, Dongming ZHANG, Xingxing GAO, Dawei WANG

“…To devise viable emission reduction solutions, it is crucial to precisely monitor the carbon emission levels throughout the LNG industry supply chain and comprehensively grasp the factors influencing them. Methods Following the typical natural gas liquefaction process, this study identified and categorized the carbon emission sources at peak-shaving LNG plants, utilizing a three-level classification method consisting of production systems, industrial processes, and emission facilities, and analyzed the input-output relationships within the basic production system. …”
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Results of replacing fish meal with insect protein in carp feeds by O. Deren, O. Bernakevych, L. Bobeliak, N. Hrytsyshyna, M. Koryliak

“…The application of the knowledge gained in fish farming practice will provide an opportunity to replace traditional feed components with an alternative cheap, affordable and environmentally friendly source of animal protein.…”
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Spatial Modeling of Trace Element Concentrations in PM₁₀ Using Generalized Additive Models (GAMs) by Mariacarmela Cusano, Alessandra Gaeta, Raffaele Morelli, Giorgio Cattani, Silvia Canepari, Lorenzo Massimi, Gianluca Leone

“…A stepwise procedure was followed to determine the model with the optimal set of covariates. A leave-one-out cross-validation method was used to estimate the prediction error. …”
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Application of the Analytic Hierarchy Process Method to Select the Final Solution for Multi-Criteria Optimization of the Structure of a Hybrid Generation System with Energy Storage by Andrzej Tomczewski, Stanisław Mikulski, Jan Szymenderski

“…This paper concerns the application of the AHP (analytic hierarchy process) multi-criteria decision support method for the final selection of the structure of a hybrid power system with RESs (renewable energy sources) and EES (electrical energy storage) from a set of solutions obtained through multi-criteria optimization. …”
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