Advancing arabic dialect detection with hybrid stacked transformer models by Hager Saleh, Hager Saleh, Hager Saleh, Abdulaziz AlMohimeed, Rasha Hassan, Mandour M. Ibrahim, Saeed Hamood Alsamhi, Moatamad Refaat Hassan, Sherif Mostafa

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Catalase-Based Modified Graphite Electrode for Hydrogen Peroxide Detection in Different Beverages by Giovanni Fusco, Paolo Bollella, Franco Mazzei, Gabriele Favero, Riccarda Antiochia, Cristina Tortolini

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Profiling antivaccination channels in Telegram: early efforts in detecting misinformation by Aelita Skarzauskiene, Monika Maciuliene, Aiste Dirzyte, Gintare Guleviciute

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Mixture-of-experts graph transformers for interpretable particle collision detection by Donatella Genovese, Alessandro Sgroi, Alessio Devoto, Samuel Valentine, Lennox Wood, Cristiano Sebastiani, Simone Scardapane, Monica D’Onofrio, Stefano Giagu

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A comparative assessment of machine learning models and algorithms for osteosarcoma cancer detection and classification by Amoakoh Gyasi-Agyei

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Review of Masked Face Recognition Based on Deep Learning by Bilal Saoud, Abdul Hakim H. M. Mohamed, Ibraheem Shayea, Ayman A. El-Saleh, Abdulaziz Alashbi

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An EWS-LSTM-Based Deep Learning Early Warning System for Industrial Machine Fault Prediction by Fabio Cassano, Anna Maria Crespino, Mariangela Lazoi, Giorgia Specchia, Alessandra Spennato

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The specific features of the diagnosis and treatment of coronary heart disease in rheumatoid arthritis (Results of the authors’ studies) by Natalya Anatolyevna Khramtsova, E V Trukhina

“…Conclusion. The specific features of CHD in RA include the frequent detection of arrhythmias and silent ischemia. …”
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Automatic Detection of Cervical Cancer Cells by a Two-Level Cascade Classification System by Jie Su, Xuan Xu, Yongjun He, Jinming Song

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Exploring Trial-and-Error in Deep Learning: Initial Application to Isotope Detection in Mass Spectrometry by Qihong Jiao, Yuxiao Wang, Yongshuai Wang, Shiwei Sun, Xuefeng Cui

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Collaborative Big Data Management and Analytics in Complex Systems with Edge 2021 eaCamera: A Case Study on AI-Based Complex Attention Analysis with Edge System by Chaopeng Guo, Peimeng Zhu, Feng Li, Jie Song

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Skin cancer detection using dermoscopic images with convolutional neural network by Khadija Nawaz, Atika Zanib, Iqra Shabir, Jianqiang Li, Yu Wang, Tariq Mahmood, Amjad Rehman

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KEXNet: A Knowledge-Enhanced Model for Improved Chest X-Ray Lesion Detection by Quan Yan, Junwen Duan, Jianxin Wang

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An integrated, tiered microplastic workflow, supporting rapid broadscale detection options by Samantha K Lynch, Colin L Johnson, Shivanesh Rao, Jaimie Loa-Kum-Cheung, Edwina L Foulsham, Alessandra L Suzzi, Lachlan Hill, Neil Doszpot, Rajitha Athukorala, Uthpala Pinto, Keegan Vickers, Maddison Carbery, Marina F.M. Santana

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Tissue Counter Analysis of Histologic Sections of Melanoma: Influence of Mask Size and Shape, Feature Selection, Statistical Methods and Tissue Preparation by Josef Smolle, Armin Gerger, Wolfgang Weger, Heinz Kutzner, Michael Tronnier

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konnect2prot 2.0: Integrating advanced analytical tools for deeper understanding of protein properties in a functional protein-protein interaction network by Shivam Kumar, Abhinav Agarwal, Dipanka Tanu Sarmah, Samrat Chatterjee

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Nanopipettes as a Potential Diagnostic Tool for Selective Nanopore Detection of Biomolecules by Regina M. Kuanaeva, Alexander N. Vaneev, Petr V. Gorelkin, Alexander S. Erofeev

“…Nanopipettes, as a class of solid-state nanopores, have evolved into universal tools in biomedicine for the detection of biomarkers and different biological analytes. …”
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Selective functionalization of mesoporous UV photonic crystals for the detection of organic vapors by Josefina Morrone, Paula C. Angelomé, Andrés Zelcer, M. Cecilia Fuertes, M. Cecilia Fuertes

“…The obtained results indicate that water entrance within the PC can be hindered by the presence of organic functions, while organic solvents can be detected in any case. Thus, the selective functionalization strategy developed allows the precise control over the PC response toward analytes with varying physicochemical properties. …”
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TARGE: large language model-powered explainable hate speech detection by Muhammad Haseeb Hashir, Memoona, Sung Won Kim

“…Results demonstrate that incorporating LLM-generated explanations significantly enhances both the interpretability and accuracy of hate speech detection. This approach not only identifies problematic content effectively but also clearly articulates the analytical rationale behind each decision, fulfilling the critical demand for transparency in automated content moderation.…”
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An enhanced machine learning approach with stacking ensemble learner for accurate liver cancer diagnosis using feature selection and gene expression data by Amena Mahmoud, Eiko Takaoka

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