ColorNephroNet: Kidney tumor malignancy prediction using medical image colorization by Aleksander Obuchowski, Barbara Klaudel, Roman Karski, Bartosz Rydziński, Mateusz Glembin, Paweł Syty, Patryk Jasik

“…We also propose a novel approach to knowledge transfer in the medical domain in terms of colorization based pre-processing that is able to increase the F1-score by up to 1.8pp.…”
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Deep Learning-Based Recognition and Classification of Soiled Photovoltaic Modules Using HALCON Software for Solar Cleaning Robots by Shoaib Ahmed, Haroon Rashid, Zakria Qadir, Qudratullah Tayyab, Tomonobu Senjyu, M. H. Elkholy

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GPU-Accelerated Eclipse-Aware Routing for SpaceWire-Based OBC in Low-Earth-Orbit Satellite Networks by Hyeonwoo Kim, Heoncheol Lee, Myonghun Han

“…In large-scale networks, the computational load of the KSP search increases substantially. …”
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End-to-End Detector Optimization with Diffusion Models: A Case Study in Sampling Calorimeters by Kylian Schmidt, Krishna Nikhil Kota, Jan Kieseler, Andrea De Vita, Markus Klute, Abhishek, Max Aehle, Muhammad Awais, Alessandro Breccia, Riccardo Carroccio, Long Chen, Tommaso Dorigo, Nicolas R. Gauger, Enrico Lupi, Federico Nardi, Xuan Tung Nguyen, Fredrik Sandin, Joseph Willmore, Pietro Vischia

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More than data repositories: perceived information needs for the development of social sciences and humanities research infrastructures by Anna Sendra, Elina Late, Sanna Kumpulainen

“…Thirteen semi-structured interviews with social sciences and humanities scholars and computer and data scientists processed through a thematic analysis revealed three themes (developing a research infrastructure, needs and expectations of the research infrastructure, and an approach to user feedback and user interactions). …”
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Innovative Techniques for Enhancing the Reliability of Machine Learning Classifiers in Protein-Protein Interaction Hotspot Prediction by M. O. Otun

“… Protein-protein interactions (PPIs) play a crucial role in numerous biological processes, with specific regions known as hotspots being key determinants of binding affinity and stability. …”
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Algorithm for Correcting Target Coordinates in the Information-Measuring System of a Radar Station Based on Information about Spatial Orientation by U. R. Naimov

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A Novel Autonomous Robotic Vehicle-Based System for Real-Time Production and Safety Control in Industrial Environments by Athanasios Sidiropoulos, Dimitrios Konstantinidis, Xenofon Karamanos, Theofilos Mastos, Konstantinos Apostolou, Theocharis Chatzis, Maria Papaspyropoulou, Kalliroi Marini, Georgios Karamitsos, Christina Theodoridou, Andreas Kargakos, Matina Vogiatzi, Angelos Papadopoulos, Dimitrios Giakoumis, Dimitrios Bechtsis, Kosmas Dimitropoulos, Dimitrios Vlachos

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A New Approach for Quantification of Finger Angles with Applications in Rehabilitation and Medical Assessment by Marius Turnea, Andrei Gheorghita, Irina Duduca, Mariana Rotariu

“…The study opens new perspectives for the development of advanced data processing algorithms, including the integration of deep learning neural networks for modelling and optimizing joint movements…”
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Enhancing Real-Time Visual SLAM with Distant Landmarks in Large-Scale Environments by Hexuan Dou, Xinyang Zhao, Bo Liu, Yinghao Jia, Guoqing Wang, Changhong Wang

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Scalable bearing fault diagnosis using metaheuristic feature selection and machine learning for diverse operating conditions by B. R. Nayana, R. Subha, Rekha Radhakrishnan, P. Geethanjali

“…The compact feature set combined with the simplicity of the ML model delivers a computationally simple, yet effective feature extraction and classification model scalable for real-time bearing fault diagnosis under diverse operating conditions. …”
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CircPac: A web-based analysis toolset for exploring circular RNA dataGitHub by Amir Hossein Foroutan, Sadra Salehi-Mazandarani, Maryam Lotfi-Shahreza, Parvaneh Nikpour

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Binding Energies of Small Interstellar Molecules on Neutral and Charged Amorphous Solid Water Surfaces by Tobe Vorsselmans, Erik C. Neyts

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Fourier or Wavelet bases as counterpart self-attention in spikformer for efficient visual classification by Qingyu Wang, Qingyu Wang, Duzhen Zhang, Xinyuan Cai, Tielin Zhang, Bo Xu

“…The FWformer can achieve comparable or even higher accuracies (0.4%–1.5%), higher running speed (9%–51% for training and 19%–70% for inference), reduced theoretical energy consumption (20%–25%), and reduced graphic processing unit (GPU) memory usage (4%–26%), compared to the standard spikformer. …”
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Experimental and Numerical Study of Slug-Flow Velocity Inside Microchannels Through In Situ Optical Monitoring by Samuele Moscato, Emanuela Cutuli, Massimo Camarda, Maide Bucolo

“…Miniaturization and reliable, real-time, non-invasive monitoring are essential for investigating microfluidic processes in Lab-on-a-Chip (LoC) systems. Progress in this field is driven by three complementary approaches: analytical modeling, computational fluid dynamics (CFD) simulations, and experimental validation techniques. …”
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Towards accurate and efficient diagnoses in nephropathology: An AI-based approach for assessing kidney transplant rejection by Alexey Fayzullin, Elena Ivanova, Victor Grinin, Dmitry Ermilov, Svetlana Solovyeva, Maxim Balyasin, Alesia Bakulina, Pavel Nikitin, Yana Valieva, Alina Kalinichenko, Alexander Arutyunyan, Aleksey Lychagin, Peter Timashev

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Textural analysis and artificial intelligence as decision support tools in the diagnosis of multiple sclerosis – a systematic review by Filip Orzan, Ştefania D. Iancu, Laura Dioşan, Zoltán Bálint

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Leveraging deep learning for plant disease and pest detection: a comprehensive review and future directions by Muhammad Shoaib, Abolghasem Sadeghi-Niaraki, Farman Ali, Irfan Hussain, Shah Khalid

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A Novel Approach to Road Safety: Detecting Illegal Overtaking Using Smartphone Cameras and Deep Learning for Vehicle Auditing by Karem Daiane Marcomini, Vitória de Carvalho Brito, Gregori da Cruz Balestra, Vitor Tosetto, Luiz Carlos Duarte, Antonio Roberto Donadon

“…When these lanes suggest potential illegal overtaking, we apply the YOLO for Panoptic driving Perception version 2 (YOLOPv2) model, followed by post-processing. We confirm overtaking events by checking for overlaps between detections from both models. …”
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Performance Evaluation of Four Deep Learning-Based CAD Systems and Manual Reading for Pulmonary Nodules Detection, Volume Measurement, and Lung-RADS Classification Under Varying Ra... by Sifan Chen, Lingqi Gao, Maolu Tan, Ke Zhang, Fajin Lv

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