Deep Learning Innovations for Underwater Waste Detection: An In-Depth Analysis by Jaskaran Singh Walia, Kavietha Haridass, L. K. Pavithra

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EXAMINING THE IMPACT OF FEATURE SELECTION TECHNIQUES ON MACHINE AND DEEP LEARNING MODELS FOR THE PREDICTION OF COVID-19 by Hafiza Zoya Mojahid, Jasni Mohamad Zain, Marina Yusoff, Abdul Basit, Abdul Kadir Jumaat, Mushtaq Ali

“…Its applications extend across various domains, including big data analytics, finance, chemometrics, medical diagnostics, biological research, intrusion detection systems, and renewable energy solutions. …”

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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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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Geophysical investigation for mineral prospect in Igbeti-Moro area, Southwestern Nigeria by Nurudeen Kolawole Olasunkanmi, Lukman A. Sunmonu, Moruffdeen A. Adabanija

“…The reduced-to-magnetic equator (RTE) anomaly map was subjected to various normalized (vertical, tilt and total horizontal) derivatives for lineament enhancement, edge detection of analytic signal (AS) amplitude and depth estimation techniques of source parameter imaging (SPI), average power spectrum and magnetic source depths were estimated using the source parameter imaging averaged power spectrum and Euler deconvolution at different spectral indices. …”
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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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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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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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KEXNet: A Knowledge-Enhanced Model for Improved Chest X-Ray Lesion Detection by Quan Yan, Junwen Duan, Jianxin Wang

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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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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 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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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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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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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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A Novel Hybrid Model for Loan Default Prediction in Maritime Finance Based on Topological Data Analysis and Machine Learning by Mohammad Amin Kheneifar, Babak Amiri

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A Process Monitoring Framework for Imbalanced Big Data: A Wastewater Treatment Plant Case Study by Morteza Zadkarami, Ali Akbar Safavi, Krist V. Gernaey, Pedram Ramin

“…In recent years, process monitoring structures utilize big data analytics to offer a more realistic interpretation of systems. …”
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