Crystal plasticity finite element method application in micro/meso-scaled deep drawing and some related concerns by Tong Xu, Fu M. W.

“…The crystal plasticity finite element method (CPFEM) has been widely used in the research of micro/meso-scaled deformation of materials. …”
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Characterization, Performance, and Efficiency Analysis of Hybrid Photovoltaic Thermal (PVT) Systems by Md Tofael Ahmed, Masud Rana Rashel, Mahmudul Islam, Tania Tanzin Hoque, Mouhaydine Tlemçani, Fernando M. Janeiro

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Orbital Decay of the Ultra-hot Jupiter TOI-2109b: Tidal Constraints and Transit-timing Analysis by Jaime A. Alvarado-Montes, Mario Sucerquia, Jorge I. Zuluaga, Christian Schwab

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Financial crisis impact on the efficiency evaluation of university research achievements transformation: a study based on fixed and interactive network data envelopment analysis me... by Yuping Ma, Yuping Ma, Mingqian Xu

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A Study of Temperature and Humidity Conditions in a New Energy-Efficient Design of a Wall Structure with Air Gaps by Nurlan Zhangabay, Timur Tursunkululy, Akmaral Utelbayeva, Uliya Abdikerova, Murat Sultanov

“…To conduct numerical studies based on mathematical models of the heat transfer of water vapor filtration through a multilayer filler structure with ventilated and non-ventilated air gaps, a calculation method was developed that additionally considers the presence of heat-reflecting screens and different variations in the geometric parameters of air gaps and thermal insulation layers. …”
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Simple Selection Index (SSI) Method in Electric Vehicle Selection for Logistics Companies by Hadi Hikmadyo Bisono, Ema Utami

“…With its more efficient process, the SSI method holds strong potential for application in fast and straightforward multi-criteria decision-making scenarios.…”
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Among Artificial Intelligence/Machine Learning Methods, Automated Gradient-Boosting Models Accurately Score Intraoral Plaque in Non-Standardized Images by Eric Coy, William Santo, Bonnie Jue, Helen Betts, Francisco Ramos-Gomez, Stuart A. Gansky

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An Analysis of the Energy Efficiency and Control Strategy of ERVs with Energy Recovery in Different Typical Regions Throughout the Year by Aimin Tu, Xingshun Zhao, Shijie Liu, Dongsheng Zhu

“…The temperature frequency method is used to analyze the energy savings of the wall-type energy recovery fresh air ventilator in three different typical regions, namely Guangzhou, with a tropical monsoon climate; the sub-temperate Wuhan; and Beijing, with a temperate monsoon climate, throughout the year. …”
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Efficient operation of inverted umbrella aerator: The effect of operating parameters on oxygenation performance by Liai Chen, Quanzeng Gou, Hongxun Hou, Song Chen, Dagui Wang, Lei Huang

“…This study systematically compares two distinct types of aerator designs (type 1# and type 2#) under varying conditions, analyzing oxygen transfer coefficients, standard oxygen-transfer rates, and standard dynamic efficiency (Es). And the orthogonal experimental method was employed to analyze the effects of different parameters on Es. …”
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Efficient Finite-Difference Estimation of Second-Order Parametric Sensitivities for Stochastic Discrete Biochemical Systems by Fauzia Jabeen, Silvana Ilie

“…Sensitivity analysis is an important method for studying the influence of the variations in various parameters on the output of a biochemical model. …”
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Efficient Prediction of Shallow-Water Acoustic Transmission Loss Using a Hybrid Variational Autoencoder–Flow Framework by Bolin Su, Haozhong Wang, Xingyu Zhu, Penghua Song, Xiaolei Li

“…Traditional physical modeling methods require repeated calculations for each new scenario in practical waveguide environments, leading to low computational efficiency. …”
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Survey on Image-Based Vehicle Detection Methods by Mortda A. A. Adam, Jules R. Tapamo

“…Deep learning methods are categorized into one-stage detectors (e.g., YOLO, SSD, FCOS, CenterNet), two-stage detectors (e.g., Faster R-CNN, Mask R-CNN), transformer-based detectors (e.g., DETR, Swin Transformer), and GAN-based methods, highlighting architectural trade-offs concerning speed, accuracy, and practical deployment. …”
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UAV-Based Remote Sensing Monitoring of Maize Growth Using Comprehensive Indices by Tingrui Yang, Jinghua Zhao, Ming Hong, Mingjie Ma, Shijiao Ma, Yingying Yuan

“…Comprehensive growth monitoring indices, CGMICV and CGMICT, were developed using the coefficient of variation method (CV) and the technique for order preference by similarity to an ideal solution (TOPSIS) based on the coefficient of variation method of empowerment (Coefficient of variation-TOPSIS, CT) respectively. …”
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Investigation of Performance of Stone Fin Solar Still Absorber by Water Depth Variations by Nova Risdiyanto Ismail*, Dadang Hermawan, Purbo Suwandono, Leo Hutri Wicaksono

“…This study aims to increase the distillate output and Efficiency of Solar still. This study's method compares stone fin solar stills absorbers using water depth variations of 1 cm, 2 cm, and 3 cm with conventional solar stills at a water depth of 1 cm. …”
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A Planet Candidate Orbiting near the Hot Jupiter TOI-2818 b Inferred through Transit Timing by Brendan J. McKee, Benjamin T. Montet, Samuel W. Yee, Joel D. Hartman, Joshua N. Winn, Jorge H. C. Martins, André M. Silva, Alexander L. Wallace

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A Single-End Location Method for Small Current Grounding System Based on the Minimum Comprehensive Entropy Kurtosis Ratio and Morphological Gradient by Jiyuan Cao, Yanwen Wang, Lingjie Wu, Yongmei Zhao, Le Wang

“…To address the challenge that traditional single-end positioning methods experience when identifying the reflected wave head and that the adaptability of wave head calibration methods is typically limited, a single-end location method of modulus wave velocity differences based on marine predator algorithm optimized multivariate variational mode decomposition (MVMD) and morphological gradient is proposed. …”
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Night transpiration of peanut affects interspecific water complementarity and use efficiency in maize/peanut intercropping by Tianran Sun, Zhanxiang Sun, Zhe Zhang, Yue Zhang, Yajiaoxue Guo, Jinyu Zhang, Jiayi Nie, Zhi Dong, Zeshan Zhang, Chenjia Zhang, Xu Zhang, Chen Feng, Lizhen Zhang

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Efficient and Fast Light Field Compression via VAE-Based Spatial and Angular Disentanglement by Soheib Takhtardeshir, Roger Olsson, Christine Guillemot, Marten Sjostrom

“…We propose a Variational Autoencoder (VAE)-based framework to disentangle the spatial and angular features of light field images, focusing on fast and efficient compression. …”
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Variational quantum circuit-based quantum machine learning approach for predicting corrosion inhibition efficiency of pyridine-quinoline compounds by Muhamad Akrom, Supriadi Rustad, Hermawan Kresno Dipojono

“…This work used a variational quantum circuit (VQC) in conjunction with a quantitative structure-property relationship (QSPR) model to completely investigate the corrosion inhibition efficiency (CIE) displayed by pyridine-quinoline compounds acting as corrosion inhibitors. …”
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A dual-method approach integrating dynamic QCA and LightGBM-SHAP algorithms to uncover the configuration paths and key drivers of water resource green efficiency in China by Naiming He, Rijia Ding

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