Elucidating the selection mechanisms in context-dependent computation through low-rank neural network modeling by Yiteng Zhang, Jianfeng Feng, Bin Min

“…Here, we investigated these selection mechanisms through low-rank neural network modeling of the CDM task. …”
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Low-Observability Distribution System State Estimation by Graph Computing with Enhanced Numerical Stability by Zijian Hu, Hong Zhu, Lan Lan, Honghua Xu, Zichen Liu, Kexin Li, Jie Li, Zhinong Wei

“…To resolve these challenges, this paper presents a graph computing-based DSSE method with enhanced numerical stability for low-observability distribution systems. …”
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LatentResNet: An Optimized Underwater Fish Classification Model with a Low Computational Cost by Muhab Hariri, Ercan Avsar, Ahmet Aydın

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Effect of the Conductivity Variations on Computed Electric Field Induced in Learning-Based Models by Yinliang Diao, Essam A. Rashed, Luca Giaccone, Ilkka Laakso, Congsheng Li, Riccardo Scorretti, Akimasa Hirata

“…Anatomical human models are extensively utilized for assessing induced electric fields due to low-frequency (LF) electromagnetic exposure. …”
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Influence of Model Size and Image Augmentations on Object Detection in Low-Contrast Complex Background Scenes by Harman Singh Sangha, Matthew J. Darr

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A Novel Hybrid Analysis Method of LLC Resonant Converter for High Accuracy and Low Computational Burden by Su-Seong Park, Rae-Young Kim

“…This paper proposes an analysis model that can estimate the efficiency of the converter and the temperature of component parts with high accuracy while requiring a relatively low computational burden when analyzing LLC resonant converters. …”
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Effect of block geometry on the estimation of low volumetric block proportions: A tunneling-based computer bimrock model by Zixin Zhao, Guolong Zhu, Xingliang Peng, Fawu Wang

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A2PC: Augmented Advantage Pointer-Critic Model for Low Latency on Mobile IoT With Edge Computing by Rodrigo Carvalho, Faroq Al-Tam, Noelia Correia

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Computational Modeling of Low-Abundance Proteins in Venom Gland Transcriptomes: <i>Bothrops asper</i> and <i>Bothrops jararaca</i> by Joseph Espín-Angulo, Doris Vela

“…This study employs a bioinformatics approach to identify and structurally model low-abundance proteins from the venom gland transcriptomes of <i>Bothrops asper</i> and <i>Bothrops jararaca</i>. …”
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COMPUTER MODELING AND NUMERICAL EXPERIMENT TO STUDY THE INFLUENCE OF COMPOSITION STRUCTURES SPILLWAY FRONT OF A DAM ON THE VALUE OF THE SPECIFIC EXPENSES by Z. A. Kurbanova

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Low-cost computation for isolated sign language video recognition with multiple reservoir computing. by A R Syulistyo, Y Tanaka, D Pramanta, N Fuengfusin, H Tamukoh

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Research on the ejection performance of an ejector with low pressure and back pressure by Cong Chen, Haijing Liu, Pengfei Duan

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Atmospheric Scattering Model and Non-Uniform Illumination Compensation for Low-Light Remote Sensing Image Enhancement by Xiaohang Zhao, Liang Huang, Mingxuan Li, Chengshan Han, Ting Nie

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Low cost image-based modeling techniques for archaeological heritage digitalization: more than just a good tool for 3d visualization? by Mariateresa Galizia, Cettina Santagati

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Dense Matching with Low Computational Complexity for Disparity Estimation in the Radargrammetric Approach of SAR Intensity Images by Hamid Jannati, Mohammad Javad Valadan Zoej, Ebrahim Ghaderpour, Paolo Mazzanti

“…Notably, unlike traditional local and global models, the computational complexity of the proposed approach remains stable as the input size or kernel dimensions increase while memory consumption stays low. …”
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Research on computer multi feature fusion SVM model based on remote sensing image recognition and low energy system by Yangming Wu, Hao Wu, Xin Tang, Jianwei Lv, Rufei Zhang

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Federated Transfer Learning for IIoT Devices With Low Computing Power Based on Blockchain and Edge Computing by Peiying Zhang, Hao Sun, Jingyi Situ, Chunxiao Jiang, Dongliang Xie

“…However, many devices in the IIoT currently have a problem of low computing power, so these devices cannot perform well facing the tasks of training and updating models in federated learning. …”
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Shanshan: a question-answering system for computer general courses with high throughput and low latency by YANG Yun, LIU Tianyang, WANG Shuo, SU Bin, PU Peng, LU Xuesong

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Computational Analysis of an Ammonia Combustion System for Future Two-Stroke Low-Speed Marine Engines by Jose R. Serrano, Ricardo Novella, Héctor Climent, Francisco José Arnau, Alejandro Calvo, Lauge Thorsen

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Feasibility of U-Net model for cerebral arteries segmentation with low-dose computed tomography angiographic images with pre-processing methods by Seong-Hyeon Kang, Kyuseok Kim, Jina Shim, Youngjin Lee

“…We aimed to solve the overexposure problem by training a U-Net-based CA segmentation model using a low-dose computed tomographic angiography (CTA) image-based dataset with various pre-processing methods to achieve a performance similar to that of sCTA. …”
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