Model studies on groundwater efficiency as a low-grade energy source by V. R. Voloshin, K. V. Belov

“…Aim. To conduct model calculations aimed at computing the feasibility of using groundwater aquifers as a low-grade heat energy source.   …”
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Customizable Restoration in Multi-Degradation Scenarios: Joint Deraining and Low-Light Image Enhancement via Perceptual Decoupling by Zhiyong He

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Computational Modeling of Ganglion Cell Bicolor Opponent Receptive Fields and FPGA Adaptation for Parallel Arrays by Hui Wei, Wenbo Yao

“…We also implement a circuit-level distributed parallel computing model on FPGAs. The results show that we are able to transfer information with low energy consumption and high parallelism. …”
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Beyond Low-Code Development: Marrying Requirements Models and Knowledge Representations by Kamil Rybiński, Michal Smialek

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Denoising very low-field magnetic resonance images using native noise modeling by Tonny Ssentamu, Tonny Ssentamu, Alvin Kimbowa, Alvin Kimbowa, Ronald Omoding, Edgar Atamba, Pius K. Mukwaya, George W. Jjuuko, Sairam Geethanath, Sairam Geethanath

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COMPUTER SIMULATION OF ANTIFERROMAGNETIC STRUCTURES DESCRIBED BY THE THREE-VERTEX ANTIFERROMAGNETIC POTTS MODEL by Yarash K. Abuev, Albert B. Babaev, Pharkhat E. Esetov

“…Abstract. Objectives A computer simulation of the antiferromagnetic structures described by the three-vertex Potts model on a triangular lattice is performed, taking into account the antiferromagnetic exchange interactions between the nearest J1 and second J2 neighbours. …”
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Damage and failure modeling of lotus-type porous material subjected to low-cycle fatigue by J. Kramberger, K. Sterkuš, S. Glodež

“…This paper evaluates a numerical approach for determining of damage initiation and evolution of lotus-type porous material with computational simulations, where the considered computational models have different pore topology patterns. …”
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Damage and failure modeling of lotus-type porous material subjected to low-cycle fatigue by J. Kramberger, K. Sterkuš, S. Glodež

“…This paper evaluates a numerical approach for determining of damage initiation and evolution of lotus-type porous material with computational simulations, where the considered computational models have different pore topology patterns. …”
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Advanced hybrid computational analysis of febuxostat solubility using machine learning in supercritical processing method by Turki Al Hagbani, Rami M. Alzhrani, Majed Ahmed Algarni

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Computer Vision Meets Generative Models in Agriculture: Technological Advances, Challenges and Opportunities by Xirun Min, Yuwen Ye, Shuming Xiong, Xiao Chen

“…The survey reveals that generative models, such as generative adversarial networks (GANs) and diffusion models, significantly improve dataset diversity and model generalisation, particularly in low-resource scenarios. …”
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A new CNN deep learning model for computer-intelligent color matching by He Zhibin, Tan Yanmei, Li Sa

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Introduction of dynamic constitutive model into parallel computing system of strata motion and modeling of impact fracture process of roadway by Xuebin WANG, Qinjie ZHANG, Yishan PAN, Liqiang MA, Xiaoshuai LI, Dong LIU, Xueyuan BAI, Shuangyin CHEN

“…When roadway rockbursts are modeled on the microcomputer, the foreign commercial software has small-scale computing capacity, low computing efficiency, and limited applicability. …”
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Sensor-free, Camera-only: Low-cost multi-angle CPR skill assessments method based on computer vision by Longxin Liu, Cen Wu, Jiafeng Liu, Jiayi Yu, Meng Bi, Hong Yu

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Utilizing EfficientNet for sheep breed identification in low-resolution images by Galib Muhammad Shahriar Himel, Md. Masudul Islam, Mijanur Rahaman

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Reduced-Order Models and Conditional Expectation: Analysing Parametric Low-Order Approximations by Hermann G. Matthies

“…This last case is taken as the “Leitmotiv” for the following discussion.A reduced-order model is produced from the full-order model through some kind of projection onto a relatively low-dimensional manifold or subspace. …”
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A comparison of computational efficiencies of stochastic algorithms in terms of two infection models by H. Thomas Banks, Shuhua Hu, Michele Joyner, Anna Broido, Brandi Canter, Kaitlyn Gayvert, Kathryn Link

“…The numerical results suggest that all three algorithms have the similar computational efficiency for the simpler VRE model, and the SSA is the best choice due to its simplicity and accuracy. …”
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High-Level Reconfigurable Embedded System Design Based on Heterogeneous Models of Computation by Gabriel C. Duarte, Denis S. Loubach, Ingo Sander

“…These high-level formal meta-models, named models of computation (MoC), define a set of rules that dictate how computation should be performed and how they should communicate with each other, along with other information such as the notion of time. …”
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Modified Mechanical Structure Electric Bike Design Computation and Prototype Model Implementation by K. Ramash Kumar, T. S. Anandhi, B. Vijayakrishna, Monalisa Mohanty, M. Siva Ramkumar, H. A. Shivappa, Belachew Zegale Tizazu, B. Kirubakaran, E. Thinapakar

“…The aim of this paper is to investigate the design computation and prototype model implementation of a Modified Mechanical Structure (MMS) Electric Bike (E-Bike). …”
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Low responsiveness of machine learning models to critical or deteriorating health conditions by Tanmoy Sarkar Pias, Sharmin Afrose, Moon Das Tuli, Ipsita Hamid Trisha, Xinwei Deng, Charles B. Nemeroff, Danfeng Daphne Yao

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Enhanced Malignancy Prediction of Small Lung Nodules in Different Populations Using Transfer Learning on Low-Dose Computed Tomography by Jyun-Ru Chen, Kuei-Yuan Hou, Yung-Chen Wang, Sen-Ping Lin, Yuan-Heng Mo, Shih-Chieh Peng, Chia-Feng Lu

“…This study investigates whether transfer learning (TL) can improve malignancy prediction for SLNs using low-dose computed tomography across datasets from different countries. …”
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