Improving Trust via XAI and Pre-Processing for Machine Learning of Complex Biomedical Datasets by Brandon Hines, Douglas Talbert, Steven Anton

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A Machine Learning Based Vehicle Classification in Forward Scattering Radar by Mohammed E. A. Kanona, Mohamad Y. Alias, Mohamed Khalafalla Hassan, Khalid S. Mohamed, Mutaz H. H. Khairi, Mosab Hamdan, Yassin A. Hamdalla, Omnia M. Osman, Ahmed M. O. Ahmed

“…The Forward scattering radars (FSRs) are special types of Bistatic radars in which detected targets should exist in the narrow baseline to obtain their tracking at an angle of 180 degree. …”
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Specialized Large Language Model for Standardization of Locomotive Maintenance Data by CHEN Ao, LI Chen, YAN Jiayun, PENG Liantie, TIAN Ye, LIU Leixinyuan

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Concept for Predictive Quality in Carbon Fibre Manufacturing by Sebastian Gellrich, Thomas Groetsch, Maxime Maghe, Claudia Creighton, Russell Varley, Anna-Sophia Wilde, Christoph Herrmann

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Study on Color Detection of Korla Fragrant Pears by Near-Infrared Spectroscopy Combined with PLSR by Yifan Xia, Yang Liu, Hong Zhang, Jikai Che, Qing Liang

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A novel spectral transformation technique based on special functions for improved chest X-ray image classification. by Abeer Aljohani

“…We developed a mechanism which converts a given medical image to a spectral space which have a base set composed of special functions. In this study, we propose a chest X-ray image classification method based on spectral coefficients. …”
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Machine learning to predict virological failure among HIV patients on antiretroviral therapy in the University of Gondar Comprehensive and Specialized Hospital, in Amhara Region, E... by Daniel Niguse Mamo, Tesfahun Melese Yilma, Makda Fekadie Tewelgne, Yakub Sebastian, Tilahun Bizuayehu, Mequannent Sharew Melaku, Agmasie Damtew Walle

“…Method An institution-based secondary data was used to conduct patients who were on antiretroviral therapy at the University of Gondar Comprehensive and Specialized Hospital from January 2020 to May 2022. …”
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Sensing the Changes in Stratum Corneum Using Fourier Transform Infrared Microspectroscopy and Hyperspectral Data Processing by Krzysztof Banas, Agnieszka M. Banas, Giorgia Pastorin, Ngai Mun Hong, Shikhar Gupta, Katarzyna Dziedzic-Kocurek, Mark B. H. Breese

“…In this study, we introduce a novel approach for investigating SC samples at a microscopic level to gain detailed chemical insights and assess sample heterogeneity. Special emphasis is placed on advanced hyperspectral data pre-processing to ensure the accuracy and reliability of the results. …”
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Klasifikasi Penyakit Pneumonia menggunakan Metode Convolutional Neural Network (CNN) by irfan office

“…COVID-19 pneumonia is a serious condition that requires special attention because of its contagious nature and its severe symptoms, including high fever, difficulty breathing, and lack of oxygen. …”
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Deteksi Kesegaran Ikan Tongkol (Euthynnus Affinis) secara Otomatis Berdasarkan Citra Mata Menggunakan Binary Similarity by Hurriyatul Fitriyah, Dahnial Syauqy, Faizal Andy Susilo

“…Sebelum dilakukan proses deteksi, dilakukan proses pre-processing untuk mendapatkan gambar kepala ikan secara otomatis. …”
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Automated Earthwork Detection Using Topological Persistence by Dana A. Lapides, Gillian Grindstaff, Mary H. Nichols

“…These tools are either labor‐intensive or require special pre‐processing or a priori assumptions about structures that limit generalizability. …”
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Implementation Of MAUT Method for Making Website-based Tourism Recommendations in Yogyakarta based on Maps Location by M. Nuraminudin, Melany Mustika Dewi, Akhmad Dahlan

“…The significance of the tourism sector in contributing to the economy of the Special Region of Yogyakarta, which is a major destination with millions of tourists every year. …”
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Enhancing aspect-based financial sentiment analysis through contrastive learning by Viacheslav Ivanenko

“…Conclusions: The paper concludes that specialized ABFSA methodologies, when augmented with advanced NLP techniques and a robust pre-processing framework, can offer a more nuanced and accurate representation of sentiment in financial narratives. …”
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Enhancing aspect-based financial sentiment analysis through contrastive learning by В’ячеслав Іваненко

“…Conclusions: The paper concludes that specialized ABFSA methodologies, when augmented with advanced NLP techniques and a robust pre-processing framework, can offer a more nuanced and accurate representation of sentiment in financial narratives. …”
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Fake news detection: state-of-the-art review and advances with attention to Arabic language aspects by Eman Salamah Albtoush, Keng Hoon Gan, Saif A. Ahmad Alrababa

“…It further explores recent advancements in research leveraging ML, DL, and transformer-based techniques for fake news detection, with a special attention to Arabic. The research delves into Arabic-specific pre-processing techniques, methodologies tailored for fake news detection in the language, and the datasets employed in these studies. …”
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Objects outline delineation by nonliniear filtration methods for boundary pixels by D. V. Zaerko, V. A. Lipnitski, N. L. Bobrova, Dm. V. Zaerko

“…The existing methods of pixel set redefining on pre processing step are primitive and affects on subsequent stages of processing. …”
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Acute ischemic stroke lesion segmentation in non-contrast CT images using 3D convolutional neural networks by A.V. Dobshik, S.K. Verbitskiy, I.A. Pestunov, K.M. Sherman, Yu.N. Sinyavskiy, A.A. Tulupov, V.B. Berikov

“…Moreover, a special patches sampling strategy was used to address the large size of medical images and class imbalance and to stabilize neural network training. …”
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Early Diagnosis of Alzheimer Disease from Mri Using Deep Learning Models by Apparna Allada, R. Bhavani, Kavitha Chaduvula, R. Priya

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An interpretable multi-transformer ensemble for text-based movie genre classification by Faheem Shaukat, Naveed Ejaz, Zeeshan Ashraf, Mrim M. Alnfiai, Nouf Nawar Alotaibi, Salma Mohsen M. Alnefaie

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High-Resolution Rotor Fault Diagnosis of Wound Rotor Induction Machine Based on Stator Current Signature Analyses by Reza Ghadirinezhd, Mohammad Hoseintabar-Marzebali

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