MorphoCellSorter is an Andrews plot-based sorting approach to rank microglia according to their morphological features by Sarah Benkeder, Son-Michel Dinh, Paul Marchal, Priscille De Gea, Muriel Thoby-Brisson, Violaine Hubert, Ines Hristovska, Gabriel Pitollat, Kassandre Combet, Laura Cardoit, Bruno Pillot, Christelle Leon, Marlene Wiart, Serge Marthy, Jérôme Honnorat, Olivier Pascual, Jean-Christophe Comte

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A novel lightweight model for tea disease classification based on feature reuse and channel focus attention mechanism by Junjie Liang, Renjie Liang, Dongxia Wang

“…Second, we propose the feature reuse module (FRM). The FRM significantly reduces the parameters and computational costs of the model, making the model more lightweight. …”
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Low Voltage AC Series Arc Fault Detection Method Based on Approximate Entropy for Low Computational Performance Device by Kyoung-Tak Kim, Min-Ho Yoon, Chan-Muk Park, Joung-Hu Park, Sung-Hun Lim

“…The computed Approximate Entropy values for each load and configuration are then used as features in the proposed algorithm. …”
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LKD-YOLOv8: A Lightweight Knowledge Distillation-Based Method for Infrared Object Detection by Xiancheng Cao, Yueli Hu, Haikun Zhang

“…Nonetheless, the limited computational power of edge devices presents a considerable challenge in achieving an optimal balance between accuracy and computational efficiency in infrared object detection. …”
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DGS-Yolov7-Tiny: a lightweight pest and disease target detection model suitable for edge computing environments by Ping Yu, Baoshu Zong, Xiaozhong Geng, Hui Yan, Baijin Liu, Cheng Chen, Hupeng Liu, Xiaoqing Xu

“…A novel fusion convolution, DGSConv, replaced the standard convolutions and effectively reduced the number of parameters while retaining detailed feature information. …”
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Hemodynamic-Based Evaluation on Thrombosis Risk of Fusiform Coronary Artery Aneurysms Using Computational Fluid Dynamic Simulation Method by Haoran Wang, Hitomi Anzai, Youjun Liu, Aike Qiao, Jinsheng Xie, Makoto Ohta

“…Four three-dimensional models were constructed, representing coronary arteries with a normal diameter (1x) and CAAs with diameters two (2x), three (3x), and five times (5x) that of the normal diameter. A lumped parameter model (LPM) which can capture the feature of coronary blood flow supplied the boundary conditions. …”
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Predictive analysis of clinical features for HPV status in oropharynx squamous cell carcinoma: A machine learning approach with explainability by Emily Diaz Badilla, Ignasi Cos, Claudio Sampieri, Berta Alegre, Isabel Vilaseca, Simone Balocco, Petia Radeva

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Cone beam computed tomography findings as prognostic factors for maxillary sinus membrane perforation during maxillary sinus augmentation by Yifat Manor, Aya Khadija, Lazar Kats

“…The aim of the present study was to analyse cone beam computed tomography (CBCT) findings to identify prognostic factors for SM perforation. …”
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Real-Time Detection and Instance Segmentation Models for the Growth Stages of <i>Pleurotus pulmonarius</i> for Environmental Control in Mushroom Houses by Can Wang, Xinhui Wu, Zhaoquan Wang, Han Shao, Dapeng Ye, Xiangzeng Kong

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A Review of Membrane Computing Models for Complex Ecosystems and a Case Study on a Complex Giant Panda System by Yingying Duan, Haina Rong, Dunwu Qi, Luis Valencia-Cabrera, Gexiang Zhang, Mario J. Pérez-Jiménez

“…Ecosystem modelling based on membrane computing is emerging as a powerful way to study the dynamics of (real) ecological populations. …”
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A conceptual and computational framework for modelling and understanding the non-equilibrium gene regulatory networks of mouse embryonic stem cells. by Richard B Greaves, Sabine Dietmann, Austin Smith, Susan Stepney, Julianne D Halley

“…Our simulation demonstrates three key features: (i) the existence of a critical value of the branching process parameter, dependent on the details of the cistrome in question; (ii) the ability of an active cistrome to "ignite" an otherwise fully dissipated cistrome, and drive it to criticality; (iii) how coupling cistromes together can reduce their critical branching parameter values needed to drive them to criticality.…”
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Initially reactive and concentrated generalized fluid wavy flow with the applications of disorder theory and magnetic field: A computational study by Saleem Javed, Latif Ahmad

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Computational fluid dynamics analysis and machine learning study of heat transfer in solar air heaters with distinct ribs configuration by Eid S. Alatawi

“…This research pioneers SAH optimization by uniquely integrating Computational Fluid Dynamics (CFD) with machine learning (ML) to analyze and predict the performance of 15 SAH designs featuring distinct curved rib configurations. …”
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Real-time prediction of the rate of penetration via computational intelligence: a comparative study on complex lithology in Southwest Iran by Mohammad Najafi, Yousef Shiri

“…Abstract The rate of penetration (ROP) is a critical parameter for optimizing oil well drilling and the overall cost of drilling operations. …”
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An Improved Ant Colony Optimization to Uncover Customer Characteristics for Churn Prediction by Ibrahim Al-Shourbaji, Abdoh Jabbari, Shaik Rizwan, Mostafa Mehanawi, Phiros Mansur, Mohammed Abdalraheem

“…Customer churn prediction is a critical task in the telecommunication (telecom) industry, where accurate identification of customers at risk of churning plays a vital role in reducing customer attrition. Feature selection (FS) is an integral part in Machine Learning (ML) models which aims to improve performance and reduce computational time (CT). …”
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Slim-YOLO: An Improved Sugarcane Tail Tip Recognition Algorithm Based on YOLO11n for Complex Field Environments by Chunming Wen, Yang Cheng, Shangping Li, Leilei Liu, Qingquan Liang, Kaihua Li, Youzong Huang

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EdgeSugarcane: a lightweight high-precision method for real-time sugarcane node detection in edge computing environments by Zhenhui Zheng, Zhenhui Zheng, Zhenhui Zheng, Lijiao Wei, Lijiao Wei, Kangmin Lin, Weihua Huang, Shuo Wang, Dongjie Du, Tao Wu

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A lightweight hyperspectral image multi-layer feature fusion classification method based on spatial and channel reconstruction. by Yuping Yin, Haodong Zhu, Lin Wei

“…Firstly, this method reduces redundant computations of spatial and spectral features by introducing Spatial and Channel Reconstruction Convolutions (SCConv), a novel convolutional compression method. …”
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A Blueberry Maturity Detection Method Integrating Attention-Driven Multi-Scale Feature Interaction and Dynamic Upsampling by Haohai You, Zhiyi Li, Zhanchen Wei, Lijuan Zhang, Xinhua Bi, Chunguang Bi, Xuefang Li, Yunpeng Duan

“…Built on the YOLOv8n architecture, ADE-YOLO features a dimensionality-reducing convolution at the backbone’s end, reducing computational complexity while optimizing input features. …”
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Intelligent Detection Algorithm for Concrete Bridge Defects Based on SATH–YOLO Model by Lanlin Zou, Ao Liu

“…First, the Star Block from StarNet was used to build the STNC2f module, enriching semantic information and improving multi-scale feature fusion while reducing parameters and computation. …”
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