Production Quality Evaluation of Electronic Control Modules Based on Deep Belief Network by Hua Gong, Wanning Xu, Congang Chen, Wenjuan Sun

“…In each inspection procedure, several different types of data are generated daily, including numerical and categorical data. …”
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Physics-Informed Neural Network for Load Margin Assessment of Power Systems with Optimal Phasor Measurement Unit Placement by Murilo Eduardo Casteroba Bento

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Development of a photoelectrode based on a bismuth(iii) oxyiodide/intercalated iodide-poly(1H-pyrrole) rough spherical nanocomposite for green hydrogen generation by Alkallas Fatemah H., Trabelsi Amira Ben Gouider, Elsayed Asmaa M., Rabia Mohamed

“…Furthermore, spectral response studies across various wavelengths revealed adaptable behavior based on photon energy, underscoring its versatility in different lighting environments. With its compelling combination of high photoelectrochemical efficiency, structural stability, and economic viability, the Bi(iii)OI/I-P1HP RS-nanocomposite emerges as a promising candidate for scalable, eco-friendly hydrogen generation. …”
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Network topology optimization by turning non-scale-free networks into scale-free networks using nonlinear preferential rewiring method by Feng Su, Peijiang Yuan, Yuanwei Liu, Shuangqian Cao

“…In practical application, the generation and evolution of many real networks always do not follow rigorous mathematical model, making network topology optimization a great challenge in the field of complex networks. …”
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The roles of permitting times and grid expansion capacity in industrial decarbonization – A case study of the electrification of Swedish industry by Sebastian Karlsson, Johanna Beiron, Fredrik Normann, Filip Johnsson

“…In the modeling, we assume that the required CO2-free power generation is installed alongside the grid expansion. …”
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Opposition-based learning techniques in metaheuristics: classification, comparison, and convergence analysis by Rihab Lakbichi, Farouq Zitouni, Saad Harous, Aridj Ferhat, Abdelhadi Limane, Abdulaziz S. Almazyad, Guojiang Xiong, Ali Wagdy Mohamed

“…Existing research lacks a structured analysis of how different OBL variants influence optimization performance when integrated into various MAs. …”
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Defining the Optimal Ranges of Tourist Visits in UNESCO World Heritage Caves with Rock Art: The Case of El Castillo and Covalanas (Cantabria, Spain) by Angel Fernandez-Cortes, Eduardo Palacio-Perez, Tamara Martin-Pozas, Soledad Cuezva, Roberto Ontañon, Javier Lario, Sergio Sanchez-Moral

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Evolução da salinidade e pH de solo sob cultivo de melão irrigado com água salina Evolution of salinity and pH of soil cultivated with melon irrigated with brackish water by Francisco de Q. Porto Filho, José F. de Medeiros, Hans R. Gheyi, Nildo da S. Dias, Paulo S. de Sousa, Daniel da C. Dantas

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Revised recommendations from the CSO-HNS taskforce on performance of tracheotomy during the COVID-19 pandemic – what a difference a year makes by D. D. Sommer, D. Cote, T. McHugh, M. Corsten, M. A. Tewfik, S. Khalili, K. Fung, M. Gupta, N. Sne, P. T. Engels, E. Weitzel, T. F. E. Brown, J. Paul, K. M. Kost, J. A. Anderson, L. Sowerby, D. Mertz, I. J. Witterick

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Meshless Numerical Simulation on Dry Shrinkage Cracking of Concrete Piles for Offshore Wind Power Turbine by Cong Hu, Jianfeng Xue, Taicheng Li, Haiying Mao, Haotian Chang, Wenbing Zhang

“…However, the fundamental mechanism of concrete pile cracking during dry shrinkage—particularly the coupled effects of moisture diffusion, meso-structural heterogeneity, and stress evolution—remains poorly understood, lacking a unified theoretical framework. …”
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A multi-objective bilevel optimisation evolutionary algorithm with dual populations lower-level search by Weizhong Wang, Hai-Lin Liu, Hongjian Shi

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An intelligent incentive-based demand response program for exhaustive environment constrained techno-economic analysis of microgrid system by Bishwajit Dey, Gulshan Sharma, Pitshou N. Bokoro, Soham Dutta

“…These scenarios also include the implementation of demand response programmes. Differential evolution algorithm was used as the optimization tool for the study. …”
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Challenges and Opportunities in ILR Selection for Photovoltaic System: Evaluation in Brazilian Cities by Alex Vilarindo Menezes, José de Arimatéia Alves Vieira Filho, Wilson Negrão Macedo

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Research progress on test scenario of ship autonomous navigation by Lijia CHEN, Kai WANG, Liwen HUANG, Shengwei LI, Xinwei ZHOU, Yanzhi LIU

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Microstructural characterization and hardness prediction of AlCuCrFeNi high entropy alloys using Transformer-based Physics-Informed Neural Networks (T-PINN) by Mohamed Yasin Abdul Salam, Enoch Nifise Ogunmuyiwa, Victor Kitso Manisa, Abid Yahya, Irfan Anjum Badruddin

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Development of a Non-Uniform Heat Source Model for Accurate Prediction of Wheel Tread Temperature on Long Downhill Ramps by Jinyu Zhang, Jingxian Ding, Jianyong Zuo

“…A thermomechanical coupled finite element model was established, incorporating a moving heat source to analyze the effects of different models on wheel tread temperature distribution and its evolution over time. …”
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Examining Adaptive E-Learning Approaches to Enhance Learning and Individual Experiences by Fateh Benkhalfallah, Mohamed Ridda Laouar, Mohamed Salah Benkhalfallah

“…The concept of individualization has emerged as an essential advance in education, representing a paradigm shift adopted by educational systems worldwide. This paradigm evolution aims to optimize student performance by harnessing the potential of diverse e-learning platforms tailored to individual needs. …”
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Adaptative Variation in a Neotropical Dung Beetle: Females and Gamma Males Present Tunneler Morphology, While Beta and Alpha Males Present Wing Morphology for Velocity by Pedro Henrique deOliveira Ribeiro, Nicholas Ferreira Camargo, Marina Regina Frizzas

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Is There a Key Primer for Amplification of Core Land Plant DNA Barcode Regions (rbcL and matK)? by Leonardo C. J. Corvalán, Amanda A. deMelo‐Ximenes, Larissa R. Carvalho, Carlos de M. e Silva‐Neto, José A. F. Diniz‐Filho, Mariana P. de C. Telles, Rhewter Nunes

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Wellcounter: Automated high‐throughput phenotyping for aquatic microinvertebrates by Claus‐Peter Stelzer, Dominique Groffman

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