GRSNet: An Ultra-Lightweight Neural Network for 3D Point Cloud Classification and Segmentation by Zourong Long, Gen Tan, You Wu, Hong Yang, Chao Ding

“…Algorithms that directly extract features from raw point cloud data have simple architectures, but they are constrained by computational demands and limited efficiency. …”
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Plant Leaf Recognition using OSSGabor filter and Vision Transformer by Thuy Phuong Khuat, Trang Van, Hoang Thien Van

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Information-entropy-driven generation of material-agnostic datasets for machine-learning interatomic potentials by Aparna P. A. Subramanyam, Danny Perez

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OpenABM-Covid19-An agent-based model for non-pharmaceutical interventions against COVID-19 including contact tracing. by Robert Hinch, William J M Probert, Anel Nurtay, Michelle Kendall, Chris Wymant, Matthew Hall, Katrina Lythgoe, Ana Bulas Cruz, Lele Zhao, Andrea Stewart, Luca Ferretti, Daniel Montero, James Warren, Nicole Mather, Matthew Abueg, Neo Wu, Olivier Legat, Katie Bentley, Thomas Mead, Kelvin Van-Vuuren, Dylan Feldner-Busztin, Tommaso Ristori, Anthony Finkelstein, David G Bonsall, Lucie Abeler-Dörner, Christophe Fraser

“…Policymakers are assessing how best to navigate through the ongoing epidemic, with computational models being used to predict the spread of infection and assess the impact of public health measures. …”
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Optimizing casting process using a combination of small data machine learning and phase-field simulations by Xiaolong Pei, Jiaqi Pei, Hua Hou, Yuhong Zhao

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Deep vision-based real-time hand gesture recognition: a review by Cui Cui, Mohd Shahrizal Sunar, Goh Eg Su

“…The choice of evaluation metrics and dataset is critical since different tasks require different evaluation parameters, and the model learns more patterns and features from diverse data. …”
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A lightweight fabric defect detection with parallel dilated convolution and dual attention mechanism by Zheqing Zhang, Kezhong Lu, Gaoming Yang

“…However, most of these methods rely on complex model with heavy parameters, leading to high computational costs that hinder their adaptation to real-time detection environments. …”
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Traffic Scene Depth Analysis Based on Depthwise Separable Convolutional Neural Network by Jianzhong Yuan, Wujie Zhou, Sijia Lv, Yuzhen Chen

“…At the same time, they require reduced computational cost and fewer parameter numbers while providing a similar level (or slightly better) computing performance. …”
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A Time Delay Prediction Model of 5G Users Based on the BiLSTM Neural Network Optimized by APSO-SD by Xiaozheng Dang, Di He, Cong Xie

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Modelling the interaction between stem cells derived cardiomyocytes patches and host myocardium to aid non-arrhythmic engineered heart tissue design. by Damiano Fassina, Caroline M Costa, Stefano Longobardi, Elias Karabelas, Gernot Plank, Sian E Harding, Steven A Niederer

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SHARPNESS IMPROVEMENT OF MAGNETIC RESONANCE IMAGES USING A GUIDED-SUBSUMED UNSHARP MASK FILTER by Manar AL-ABAJI, Zohair AL-AMEEN

“…It also scored a fast computation time, averaging 0.3384 seconds. …”
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Fast binary logistic regression by Nurdan Ayse Saran, Fatih Nar

“…Moreover, our approach incorporates a randomized SVD alongside a newly developed SVD with row reduction (SVD-RR) method, which aims to manage datasets with many rows and features efficiently. This computational efficiency is crucial in developing a generalized model that requires repeated training over various parameters to balance bias and variance. …”
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The regulation of ant colony foraging activity without spatial information. by Balaji Prabhakar, Katherine N Dektar, Deborah M Gordon

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Marked point process variational autoencoder with applications to unsorted spiking activities. by Ryohei Shibue, Tomoharu Iwata

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AI-powered simulation-based inference of a genuinely spatial-stochastic gene regulation model of early mouse embryogenesis. by Michael Alexander Ramirez Sierra, Thomas R Sokolowski

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CharTeC-Net: An Efficient and Lightweight Character-Based Convolutional Network for Text Classification by Aboubakar Nasser Samatin Njikam, Huan Zhao

“…This paper introduces an extremely lightweight (with just over around two hundred thousand parameters) and computationally efficient CNN architecture, named CharTeC-Net (Character-based Text Classification Network), for character-based text classification problems. …”
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Face to Face: Anthropometry-Based Interactive Face Shape Modeling Using Model Priors by Yu Zhang, Edmond C. Prakash

“…For each facial feature, we compute a set of anthropometric measurements to parameterize the example meshes into a measurement space. …”
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A Message Passing Neural Network Framework with Learnable PageRank for Author Impact Assessment by SONG, G., FU, D., WU, X.

“…NPRNet utilizes Message Passing Neural Networks to efficiently compute and incorporate learnable parameters, thus considering node attributes. …”
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Implementation of a Multimode Optical Source in the VPIphotonics Software by Blaise Tshibangu-Mbuebue, Rodrigo Cuevas-Terrones, Min Won Lee, Alejandro García-Juárez, Ignacio Enrique Zaldívar-Huerta

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Alpha-DehazeNet: single image dehazing via RGBA haze modeling and adaptive learning by Jin He, Ruibin Li

“…Image dehazing is a vital research area in computer vision. Many existing deep learning-based dehazing methods rely on atmospheric scattering models with manually predefined, non-trainable parameters, which limits their adaptability and transferability. …”
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