A Comparison of Transfer Learning Models for Face Recognition by Devrim Akgün, Dalhm Alashammari

“…Face recognition (FR) is a method that uses face feature analysis and comparison to identify or verify individuals. …”
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Element-specific estimation of background mutation rates in whole cancer genomes through transfer learning by Farideh Bahari, Reza Ahangari Cohan, Hesam Montazeri

“…Additionally, we provide an extensive analysis of BMR estimation, examining different machine learning models, genomic interval strategies, feature categories, and dimensionality reduction techniques.…”
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Intelligent identification of ballastless track subgrade settlement based on vehicle-rail vibration data by Chong Li, Yu Guo

“…Through sensitivity analysis of vehicle and track dynamics, we identify carbody vertical acceleration, nodding angular velocity, and rail displacement as optimal CNN-LSTM inputs. …”
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Probing cosmic voids with emission-line galaxies by Yuka Yamada, Naoki Yoshida, Naoki Yoshida

“…These features exhibit characteristic signatures that reflect both the underlying cosmology and the nature of the emission-line galaxies.DiscussionLIM-based void detection is a promising avenue for cosmological studies. …”
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Learning Condition-Invariant Scene Representations for Place Recognition across the Seasons Using Auto-Encoder and ICA by Tariqul Islam, Sheikh Rabiul Islam, Mahbubur Rahman

“…Moreover, during seasonal changes, this model provides an appropriate loop-closure detection result. Independent component analysis (ICA) and auto-encoder are proposed to complete our research work. …”
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DermaTransNet: Where Transformer Attention Meets U-Net for Skin Image Segmentation by Anum Abdul Salam, Muhammad Usman Akram, Muhammad Haroon Yousaf, Babar Rao

“…To enhance the efficacy of analysis and assist pathologists, computer-aided diagnostic systems have been proposed to automate the process of disease detection and classification. …”
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Modeling of a Novel T-Core Sensor with an Air Gap for Applications in Eddy Current Nondestructive Evaluation by Siquan Zhang

“…Compared to the finite element method (FEM), analytical approaches offer advantages, such as faster computation and high accuracy, enabling a comprehensive analysis of how sensor and material parameters influence defect detection outcomes. …”
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An integrated workflow for crosslinking mass spectrometry by Marta L Mendes, Lutz Fischer, Zhuo A Chen, Marta Barbon, Francis J O'Reilly, Sven H Giese, Michael Bohlke‐Schneider, Adam Belsom, Therese Dau, Colin W Combe, Martin Graham, Markus R Eisele, Wolfgang Baumeister, Christian Speck, Juri Rappsilber

“…We demonstrate our simple 12‐fraction protocol for crosslinked multi‐protein complexes and cell lysates, quantitative analysis, and high‐density crosslinking, without requiring specific crosslinker features. …”
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Simplicial complexes in network intrusion profiling: pattern construction through simplicial centralities by Mandala von Westenholz, Martin Atzmueller, Tim Römer

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Construction of a predictive model for rebleeding risk in upper gastrointestinal bleeding patients based on clinical indicators such as Helicobacter pylori infection by Wei Zang, Ze Lin, Yanduo Zhao, Tianshi Jia, Xinglong Zhang

“…In the analysis of the correlation between the degree of infection and the laboratory test items, the hemoglobin level of patients will also change with the change of the degree of infection of patients (p < 0.05 in the above correlation analysis, all had statistical significance). …”
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Biased perceptions of public opinion don't define echo chambers but reveal systematic differences in political awareness. by Crispin H V Cooper, Kevin Fahey, Regan Jones

“…Although there is strong evidence that meta-opinions - that is, people's perceptions of others' opinions - often fail to reflect reality, no attempt has been made to explore the space of meta-opinions, or detect echo chambers within this space. We created a new, information-theoretic method for directly quantifying the information content of meta-opinions, allowing detailed exploratory analysis of their relationships with demographic factors and underlying opinions. …”
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Enhancing neurocognitive rehabilitation with smart cubes: Design, technology, and programmable games by Jaroslav Vondrak, Vladimir Kasik, Jan Grepl, Terezie Kuboskova, Martin Augustynek, Jan Kubicek, Tereza Benešová, Petr Nilius

“…A series of technical validation experiments were conducted, including detection accuracy under varying optical filter conditions, power consumption analysis, and mechanical durability testing in accordance with IEC 60,601–1. …”
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New Clues on the Extended He ii Ionization in IZw18 from GTC/MEGARA and JWST/MIRI by A. Arroyo-Polonio, C. Kehrig, J. M. Vílchez, J. Iglesias-Páramo, E. Pérez-Montero, S. Duarte Puertas, J. Gallego, D. Reverte

“…This Letter reports the first detection of the high-ionization [Ne v ]14.32 μ m line in IZw18. …”
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Human multiethnic radiogenomics reveals low-abundancy microRNA signature in plasma-derived extracellular vesicles for early diagnosis and molecular subtyping of pancreatic cancer by Jianying Xu, Wenjie Shi, Yi Zhu, Chao Zhang, Julia Nagelschmitz, Maximilian Doelling, Sara Al-Madhi, Ujjwal Mukund Mahajan, Maciej Pech, Georg Rose, Roland Siegfried Croner, Guoliang Zheng, Christoph Kahlert, Ulf Dietrich Kahlert

“…However, effective methods for accurate and early detection remain limited. In this multiethnic study involving human subjects, we developed a liquid biopsy signature based on extracellular vesicle (EV)-derived microRNAs (miRNAs) linked to radiomics features extracted from patients’ tumor imaging. …”
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Characteristics of CoVID-19 in children: the first experience in the hospital of st. Petersburg by E. A. Dondurey, L. N. Isankina, O. I. Afanasyeva, A. V. Titeva, T. V. Vishnevskaya, V. A. Kondrat`ev, I. A. Gryaznova, M. V. Berezina, M. A. Zolotova, V. M. Volzhanin

“…Patients underwent 4 (3; 5) repeated examinations depending on the diagnosis of the referral, as well as the duration of the convalescent virus carriage. The analysis of the severity of the course of the disease, the main clinical manifestations and their relationship with the development of pneumonia, as well as the epidemiological features of COVID-19 in children. …”
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Geostatistical Vegetation Filtering for Rapid UAV-RGB Mapping of Sudden Geomorphological Events in the Mediterranean Areas by María Teresa González-Moreno, Jesús Rodrigo-Comino

“…By processing UAV-derived data, a Digital Elevation Model (DEM) was generated through geostatistical techniques, refining the Digital Surface Model (DSM) to improve topographical change detection. The ability to accurately remove vegetation from aerial imagery allows for a more precise assessment of erosion patterns and sediment redistribution in geomorphological features with rapid spatiotemporal changes.…”
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Nuclear magnetic resonance-based lipid metabolite profiles for differentiation of patients with liver cirrhosis with and without hepatocellular carcinoma by Luigi Nardone, Marianna Alunni-Fabbroni, Regina Schinner, Sabine Weber, Julia Mayerle, Eric Schiffer, Sebastian de Jel, Max Seidensticker, Peter Malfertheiner, Jens Ricke

“…In this scenario the analysis of lipidome and metabolome emerged as a promising tool for early detection. …”
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A Method for Diagnosing Diabetic Retinopathy Based on Ocular Fundus Imaging by N. T. Tuyen, T. T. Huu

“…However, the background interference and low contrast of such images significantly hinders the timely detection of vascular lesions. Therefore, the development of a method for detecting signs of diabetic retinopathy, particularly in its early stages, presents a relevant research task.Aim. …”
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217 closed Salmonella reference genomes using PacBio sequencing by Yan Luo, Jae Hee Jang, Maria Balkey, Maria Hoffmann

“…A complete reference genome allows for more accurate data analysis and researchers to establish connections between genome variations and known genes, regulatory elements, and other genomic features. …”
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GUESS-ing polygenic associations with multiple phenotypes using a GPU-based evolutionary stochastic search algorithm. by Leonardo Bottolo, Marc Chadeau-Hyam, David I Hastie, Tanja Zeller, Benoit Liquet, Paul Newcombe, Loic Yengo, Philipp S Wild, Arne Schillert, Andreas Ziegler, Sune F Nielsen, Adam S Butterworth, Weang Kee Ho, Raphaële Castagné, Thomas Munzel, David Tregouet, Mario Falchi, François Cambien, Børge G Nordestgaard, Fredéric Fumeron, Anne Tybjærg-Hansen, Philippe Froguel, John Danesh, Enrico Petretto, Stefan Blankenberg, Laurence Tiret, Sylvia Richardson

“…This provides a powerful tool for the analysis of diverse genomic features, for instance including gene expression and exome sequencing data, where complex dependencies are present in the predictor space.…”
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