Assessment and Prediction of Typhoon-Related Direct Economic Loss in Fujian Province Based on LightGBM by Zhang Zhixia, Yang Jian, Chen Sixiao, Lin Sen

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Kinematic Adaptive Frame Recognition (KAFR): A Novel Framework for Video Segmentation via Frame Similarity and Surgical Tool Tracking by Huu Phong Nguyen, Shekhar Madhav Khairnar, Sofia Garces Palacios, Amr Al-Abbas, Melissa E. Hogg, Amer H. Zureikat, Patricio M. Polanco, Herbert J. Zeh, Ganesh Sankaranarayanan

“…Our approach follows these steps:1) Tracking phase: a YOLOv8 model is utilized to detect tools presented in the scene, 2) Similarity phase: Similarities between consecutive frames are computed by estimating variation in the spatial positions and velocities of the tools, 3) Classification phase: An X3D CNN is trained to classify segmentation. …”
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Marine Object Detection Using LiDAR on an Unmanned Surface Vehicle by Yvan Eustache, Cedric Seguin, Antoine Pecout, Alexandre Foucher, Johann Laurent, Dominique Heller

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Extraction of built-up areas using Sentinel-1 and Sentinel-2 data with automated training data sampling and label noise robust cross-fusion neural networks by Yu Li, Patrick Matgen, Marco Chini

“…In recent years, there has been a growing interest in employing supervised machine learning and deep learning methods to map built-up areas using satellite SAR and optical data. …”
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A Novel Approach to Continual Knowledge Transfer in Multilingual Neural Machine Translation Using Autoregressive and Non-Autoregressive Models for Indic Languages by Shailashree K. Sheshadri, Deepa Gupta, Biswajit Paul, J. Siva Bhavani

“…However, extending these models to new languages via fine-tuning or retraining remains computationally costly and often leads to parameter interference, degrading performance on previously learned or typologically distant languages. While continual learning offers a promising alternative for incremental language addition, its application in Indic contexts is still limited and faces challenges in generalization across diverse linguistic settings. …”
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A Scoring Algorithm for the Early Prediction of Academic Risk in STEM Courses by Vanja Čotić Poturić, Sanja Čandrlić, Ivan Dražić

“…Educational data mining (EDM) and learning analytics (LA) are widely applied to predict student performance, particularly in determining academic success or failure. …”
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Implementation of Machine Vision Methods for Cattle Detection and Activity Monitoring by Roman Bumbálek, Tomáš Zoubek, Jean de Dieu Marcel Ufitikirezi, Sandra Nicole Umurungi, Radim Stehlík, Zbyněk Havelka, Radim Kuneš, Petr Bartoš

“…The types of the YOLOv5 network (v5x, v5l, v5m, v5s, and v5n), the effect of the learning rate (0.1, 0.01, and 0.001), the batch size (4, 8, 16, and 32), and the effect of the optimizer used (SGD and Adam) were compared in a step-by-step process. …”
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Welding defect detection with image processing on a custom small dataset: A comparative study by József Szőlősi, Béla J. Szekeres, Péter Magyar, Bán Adrián, Gábor Farkas, Mátyás Andó

“…Abstract This work focuses on detecting defects in welding seams using the most advanced You Only Look Once (YOLO) algorithms and transfer learning. To this end, the authors prepared a small dataset of images using manual welding and compared the performance of the YOLO v5, v6, v7, and v8 methods after two‐step training. …”
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ML-Empowered Microservice Workload Prediction by Dual-Regularized Matrix Factorization by Xiaoxuan Luo, Hong Shen, Wei Ke

“…Experiments on the Alibaba dataset show that TDDRMF achieves 18.5% lower RMSE than TAMF in 10-step prediction, improving the existing matrix factorization methods in accuracy. …”
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Modeling pegcetacoplan treatment effect for atrophic age-related macular degeneration with AI-based progression prediction by Irmela Mantel, Romina M. Lasagni Vitar, Sandro De Zanet

“…The algorithm output was a step-less individualized topographic modeling of the RORA growth, allowing for illustrating the progression line corresponding to an 80% growth compared to the natural course of 100% growth. …”
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Discovering customer segments through interaction behaviors for home appliance business by Youngjung Suh

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MPCNet: Improved MeshSegNet Based on Position Encoding and Channel Attention by Hanqing Hu, Zhengxun Li, Weichao Gao

“…In the process of orthodontic treatment, it is a very important step to accurately segment each tooth and jaw model with computer assistance. …”
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Hybrid Paddy disease classification using optimized statistical feature based transformation technique with explainable AI by M Amudha, Brindha K

“…The Yeo-Johnson technique is used to alter the statistical information acquired from each image. The next step is to use a Cat Boost classifier to sort the features. …”
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An Adaptive Underwater Image Enhancement Framework Combining Structural Detail Enhancement and Unsupervised Deep Fusion by Semih Kahveci, Erdinç Avaroğlu

“…To address these issues, this study proposes a detail-oriented hybrid framework for underwater image enhancement that synergizes the strengths of traditional image processing with the powerful feature extraction capabilities of unsupervised deep learning. Our framework introduces a novel multi-scale detail enhancement unit to accentuate structural information, followed by a Latent Low-Rank Representation (LatLRR)-based simplification step. …”
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Research on Urban Road Traffic Flow Prediction Based on Sa-Dynamic Graph Convolutional Neural Network by Song Hu, Jian Gu, Shun Li

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A Data-Driven Intelligent Methodology for Developing Explainable Diagnostic Model for Febrile Diseases by Constance Amannah, Kingsley Friday Attai, Faith-Michael Uzoka

“…This study serves as a foundational step toward AI-driven diagnostic tools in resource-limited healthcare environments.…”
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An AI-Driven Multimodal Monitoring System for Early Mastitis Indicators in Italian Mediterranean Buffalo by Maria Teresa Verde, Mattia Fonisto, Flora Amato, Annalisa Liccardo, Roberta Matera, Gianluca Neglia, Francesco Bonavolontà

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Smart Lighting Systems: State-of-the-Art in the Adoption of the EdgeML Computing Paradigm by Gaetanino Paolone, Romolo Paesani, Francesco Pilotti, Jacopo Camplone, Andrea Piazza, Paolino Di Felice

“…The advent of Light Emitting Diode (LED) lighting represented a giant step forward for such systems in terms of light quality and energy saving. …”
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Neural Network-Based Temporal Ensembling of Water Depth Estimates Derived from SuperDove Images by Milad Niroumand-Jadidi, Carl J. Legleiter, Francesca Bovolo

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Unleashing the Potential of Knowledge Distillation for IoT Traffic Classification by Mahmoud Abbasi, Amin Shahraki, Javier Prieto, Angelica Gonzalez Arrieta, Juan M. Corchado

“…Network Traffic Classification (NTC) in IoT is a crucial step for optimizing network performance, enhancing security, and improving user experience. …”
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