Assimilating water level observations with the ensemble optimal interpolation scheme into a rainfall‐runoff‐inundation model: A repository‐based dynamic covariance matrix generatio... by Manoj Khaniya, Yasuto Tachikawa, Takahiro Sayama

“…In such cases, the ensemble optimal interpolation scheme (EnOI), which works on a single model run instead of ensemble evolution, may offer a sub‐optimal alternative. …”
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Multi-Objective Improved Differential Evolution Algorithm-Based Smart Home Energy Management System Considering Energy Storage System, Photovoltaic, and Electric Vehicle by Mina GhasemiGarpachi, Moslem Dehghani, Mokhtar Aly, Jose Rodriguez

“…The suggested method is considered under various scenarios, such as different ESS volumes and various charging/discharging rates, with and without PHEV participation in single and multi-objective optimization. …”
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Evolution of outcrossing in experimental populations of Caenorhabditis elegans. by Henrique Teotonio, Sara Carvalho, Diogo Manoel, Miguel Roque, Ivo M Chelo

“…For this, we contrasted the evolution of a fitness component exclusive to outcrossing in experimental populations of different mating systems. …”
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A quasi affine transformation evolution algorithm with evolution matrix selection operation for parameter estimation of proton exchange membrane fuel cells by Mohammad Aljaidi, Pradeep Jangir, Sunilkumar P. Agrawal, Sundaram B. Pandya, Anil Parmar, Samar Hussni Anbarkhan, Laith Abualigah

“…It is challenging to find the best PEMFC parameters because the model is complex and the problem is nonlinear; not all optimization algorithms can solve this problem. This paper presents a new approach that applies QUasi-Affine TRansformation Evolution algorithm with a new adaptation of Evolution Matrix and Selection operation (QUATRE-EMS) to determine optimal values of uncertain parameters in PEMFC stack references. …”
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Evolution of biofuels: Unraveling diverse applications and emerging horizons by Fatima Akram, Esha Shoaib, Taseer Fatima, Ifrah Shabbir, Ikram-ul Haq

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Digital Twin Network-Based 6G Self-Evolution by Yuhong Huang, Mancong Kang, Yanhong Zhu, Na Li, Guangyi Liu, Qixing Wang

“…Specifically, the proposed architecture introduces a key concept called “future shots” that gives accurate network predictions under different time scales of self-evolution strategies for various network elements. …”
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Energy evolution and key parameters of coal breaking by flexible cutting tools by Yong LIU, Zhikang ZHANG, Jianping WEI, Xiangyu XU, Yingjun GAO

“…The accumulation and release of strain energy leads to the generation of a large number of cracks directly below the teeth, forming a semi-circular shear crushing zone. …”
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Optimization of a Novel FOPIDN-(1+PIDN) Controller for Renewable Integrated Multi-Area Load Frequency Control System With Non-Linearities by Shreekanta Kumar Ojha, Maddela Chinna Obaiah

“…The optimal parameters for the controller have been fine-tuned using the Grey Wolf optimization (GWO) technique by minimizing the ITAE performance index. …”
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Design of Fully Digital Controlled Shaped Beam Synthesis Using Differential Evolution Algorithm by D. Mandal, A. Chatterjee, A. K. Bhattacharjee

“…A shaped beam synthesis from a concentric ring array has been presented. Two different cases are considered. In the first case, a flat-top beam pattern and, in the second case, a cosec2 beam pattern have been generated. …”
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Study on triaxial mechanical behavior and energy evolution of composite rock with coplanar double fractures by Yujie SI, Taoli XIAO, Hao YUAN, Haicheng SHE, Yunfeng ZHAO

“…In order to study the effects of fracture configuration properties and confining pressure on the mechanical behavior, energy, and microcrackevolution of composite rock, based on indoor uniaxial and triaxial compression tests, a triaxial compression particle model of composite rock with coplanar double fractures was established by using discrete element numerical simulation software, and the mechanical behavior , energy, and microcrack evolution of composite rock under different fracture inclination, length and confining pressure were systematically studied. …”
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Research on solder layer void evolution mechanism for IGBT module of electric locomotive in service by LI Hanrui, LAI Wei, LI Hui, YAO Ran, YU Kai, AN Junpeng

“…Finally, the relationship among void distribution, size and evolution rate was generated according to the energy-based fatigue lifetime model, which provided a basis for guiding optimal design and active maintenance of the devices.…”
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Control of contour evolution, burn rate variation, and reaction channel formation in coal gasification by Roman Dychkovskyi, Volodymyr Falshtynskyi, Pavlo Saik, Vasyl Lozynskyi, Dariusz Sala, Łukasz Hankus, Małgorzata Magdziarczyk, Adam Smoliński

“…Utilizing an underground gas generator within a coal-rock mass, the study employs a hydrofracture profile model to analyze key parameters. …”
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Evolution of Algorithms and Applications for Unmanned Surface Vehicles in the Context of Small Craft: A Systematic Review by Luis Castano-Londono, Stefany del Pilar Marrugo Llorente, Edwin Paipa-Sanabria, María Belén Orozco-Lopez, David Ignacio Fuentes Montaña, Daniel Gonzalez Montoya

“…The study of the evolution of works on USVs was carried out based on the results of the meta-analysis generated with the Bibliometrix tool. …”
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Next generation High-Mobility 2D chalcogenides TFT for display backplane by Prashant Bisht, Junoh Shim, Jooon Oh, Jieun Lee, Hoseong Shin, Hyeonho Jeong, Jimin Kim, Junho Lee, Hyuk-Jun Kwon, Sunkook Kim

“…The evolution of display backplane technologies has been driven by the relentless pursuit of higher form factor and superior performance coupled with lower power consumption. …”
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Research on rock fracture evolution prediction model based on Adam-ConvLSTM and transfer learning by Runze Liu, Ziwei Wang, Yanbo Zhang, Xulong Yao, Shaohong Yan, Zhiyuan Chen, Shuai Wang, Hua Li, Qi Wang

“…To address these challenges, this study develops a deep learning model based on an adaptive moment estimation optimized convolutional long short-term memory neural network (Adam-ConvLSTM) to predict the evolution of rock fractures. …”
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Triplane generator-based NeRF-GAN framework for single-view ship reconstruction by Tao Liu, Shiqi Geng, Yucheng Fu, Zhengling Lei, Yuchi Huo, Xiaocai Zhang, Fang Wang, Bing Han, Mei Sha, Zhongdai Wu

“…Initially, a priori statistical analysis of the dataset is conducted to harness color distribution information for noise generation. Subsequently, a novel generator and mask module are engineered to produce optimized feature outputs. …”
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Analysis of different genotyping and selection strategies in laying hen breeding programs by Lisa Büttgen, Henner Simianer, Torsten Pook

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Optimization of LDPC Codes over the Underwater Acoustic Channel by Shengxing Liu, Aijun Song

“…Furthermore, using differential evolution technique, we develop an EXIT-aided method to optimize LDPC codes for the underwater acoustic channel. …”
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Generation and Balancing Capacity in Future Electric Power Systems-Scenario Analysis Using Bayesian Networks by Seppo Borenius, Pekka Kekolahti, Petri Mahonen, Matti Lehtonen

“…The primary contribution of this paper is the development of an extensive Bayesian Network, designed to model and analyze the evolution of power generation capacity mix, assess the likelihood of different grid management scenarios, and understand the causal relationships underlying these scenarios. …”
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Study on the Disturbed Mechanical Behavior and Energy Evolution Characteristics of Deep Roof Rock Considering Spatio-Temporal Effects by WANG man, ZHANG Yang, XIE Jing, NIU Zehua, DENG Huchao, YANG Bengao, ZHAO Lijuan, D ING Xiaogang, GAO Mingzhong

“…The unloading disturbance stress generated by the mining process of target coal seam in the lateral dimension is generalized as an increase in axial compression and a decrease in confining pressure, and the difference in stress path of different disturbance areas is achieved by changing the amplitude of the confining pressure reduction. …”
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