Anomaly Detection in Elderly Health Monitoring via IoT for Timely Interventions by Cosmina-Mihaela Rosca, Adrian Stancu

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“Keeleteadlane raputab lausemalle korpusest loendisse”: lausemallide automaatse tuvastamise esimesed sammud by Kertu Saul, Kadri Muischnek, Jelena Kallas

“…The goal is to develop an initial workflow for corpus-based automatic detection of valency patterns in Estonian, leveraging the Universal Dependencies annotation system (de Marneffe et al. 2021). …”
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Opinion Mining in Latvian Text Using Semantic Polarity Analysis and Machine Learning Approach by Gatis Špats, Ilze Birzniece

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A Survey of Scenario Generation for Automated Vehicle Testing and Validation by Ziyu Wang, Jing Ma, Edmund M-K Lai

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Prototyping and Characterization of Gripper Technologies for Stiff Fabric Material by Vivek Kumar, Mihail Fontul, Carlos Neves, Paulo Jorge Coelho

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Identifying Novel Emotions and Wellbeing of Horses from Videos Through Unsupervised Learning by Aarya Bhave, Emily Kieson, Alina Hafner, Peter A. Gloor

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Intelligent Traffic Management Using Machine Vision Techniques in Smart Cities by Peyman Babaei

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COMPUTATIONAL SOLUTIONS FOR DETERMINING THE SPATIAL-TEMPORAL EVOLUTION OF POLLUTANTS ON THE PRUT RIVER SECTOR IN GIURGIULEȘTI LOCALITY by GALINA MARUSIC, NINA SAVA, RODICA BRANIȘTE, VIOREL CĂRBUNE, VICTOR ABABII

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PMPred-AE: a computational model for the detection and interpretation of pathological myopia based on artificial intelligence by Hong-Qi Zhang, Muhammad Arif, Maha A. Thafar, Somayah Albaradei, Peiling Cai, Yang Zhang, Hua Tang, Hua Tang, Hao Lin

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Automatic vessel segmentation and reformation of non-contrast coronary magnetic resonance angiography using transfer learning-based three-dimensional U-net with attention mechanism by Lu Lin, Yijia Zheng, Yanyu Li, Difei Jiang, Jian Cao, Jian Wang, Yueting Xiao, Xinsheng Mao, Chao Zheng, Yining Wang

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The use of a convolutional neural network to automate radiologic scoring of computed tomography of paranasal sinuses by Daniel J. Lee, Mohammad Hamghalam, Lily Wang, Hui-Ming Lin, Errol Colak, Muhammad Mamdani, Amber L. Simpson, John M. Lee

“…This proof-of-concept study aimed to develop an automated algorithm combining a convolutional neural network (CNN) for sinus segmentation with post-processing to compute LMS directly from CT scans. Results Radiology Information System was queried for outpatient paranasal sinus CTs at a tertiary institution. …”
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Performance of Computer‐Aided Detection Software in Tuberculosis Case Finding in Township Health Centers in China by Xuefang Cao, Boxuan Feng, Bin Zhang, Dakuan Wang, Jiang Du, Yijun He, Tonglei Guo, Shouguo Pan, Zisen Liu, Jiaoxia Yan, Qi Jin, Lei Gao, Henan Xin

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Assessing reading fluency in elementary grades: A machine learning approach by Gabriel Candido da Silva, Rodrigo Lins Rodrigues, Américo N. Amorim, Lieny Jeon, Emilia X.S. Albuquerque, Vanessa C. Silva, Vinícius F. da Silva, André L.A. Pinheiro, João P.J.R. Nunes, Suzana X.M.G. de Souza, Maxsuel S. Silva, Igor Mauro, Alexandre Magno Andrade Maciel

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A clinical trial evaluating feasibility and acceptability of a brain-computer interface for telerehabilitation in patients with stroke by Salem Mansour, Joshua Giles, Krishnan P. S. Nair, Rebecca Marshall, Ali Ali, Mahnaz Arvaneh

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A Low Computational Cost Deep Learning Approach for Localization and Classification of Diseases and Pests in Coffee Leaves by Clecio Elias Silva E. Silva, Jonatan Borges Fragoso, Thuanne Paixao, Ana Beatriz Alvarez, Facundo Palomino-Quispe

“…The combination of promising performance and reduced computational cost suggests that SmallPavicNet-MC can be integrated into plantation monitoring systems, contributing to more effective management of diseases and pests affecting coffee production.…”
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NOVA: A Retrieval-Augmented Generation Assistant in Spanish for Parallel Computing Education with Large Language Models by Gabriel A. León-Paredes, Luis A. Alba-Narváez, Kelly D. Paltin-Guzmán

“…This work presents the development of NOVA, an educational virtual assistant designed for the Parallel Computing course, built using a Retrieval-Augmented Generation (RAG) architecture combined with Large Language Models (LLMs). …”
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High Performance Numerical Computing for High Energy Physics: A New Challenge for Big Data Science by Florin Pop

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PYTHON PROGRAMMING LANGUAGE AS A MEANS OF TRAINING FUTURE TEACHERS OF COMPUTER SCIENCE WHEN WORKING WITH ARDUINO by V. Kyslitsyn, L. Shevchenko, V. Umanets

“…The authors have developed the program code and presented a working model of a robot assembled and programmed on the basis of Arduino components to measure humidity in computer laboratories and create automatic plant irrigation systems to maintain proper conditions in classrooms. …”
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Computer Vision as a Tool to Support Quality Control and Robotic Handling of Fruit: A Case Study by Estêvão Vale Filho, Luan Lang, Martim L. Aguiar, Rodrigo Antunes, Nuno Pereira, Pedro Dinis Gaspar

“…This article enhances the application of computer vision with collaborative robotics to create a non-destructive system. …”
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X-Ray Layered Refocusing Imaging Based on Linear Scanning by Bin Liu, Yue Luo, Ke Li, Xia Zhao

“…In the process of X-ray digital imaging, due to the mutual occlusion of object structures of different depth layers, the image projection information is overlapped. X-CT(Computed-Tomography) and X-CL(Computed-Laminography) are usually used to obtain structural information of objects at different depths, but they are limited by accurate multi-dimensional motion control systems, complex scanning methods and poor real-time computing performance.To solve the problems, this paper proposed a method of X-ray layered imaging based on linear scanning. …”
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