Enhanced Neutrosophic Set and Machine Learning Approach for Breast Cancer Prediction by Ashika T, Hannah Grace, Nivetha Martin, Florentin Smarandache

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La mobilité quotidienne dans les grandes villes du monde : application de la théorie des réseaux bayésiens by Giovanni Fusco

“…At the frontier between multivariate statistics and artificial intelligence, Bayesian networks are a powerful tool to model systemic knowledge. …”
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Observer-Based Exponential Stability Control of T-S Fuzzy Networked Systems with Varying Communication Delays by Hejun Yao, Fangzheng Gao

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SSOME MODERN ASPECTS OF CATARACT TREATMENT IN CHILDREN by K. B. Pershin, N. F. Pashinova, A. V. Tcherkashina

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Adaptive sequential sampling for reliability estimation of binary functions by Miroslav Vořechovský

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Development and validation of machine learning-based risk prediction models for ICU-acquired weakness: a prospective cohort study by Yimei Zhang, Yu Wang, Jingran Yang, Qinglan Li, Min Zhou, Jiafei Lu, Qiulan Hu, Fang Ma

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Development and multi-cohort validation of a machine learning-based simplified frailty assessment tool for clinical risk prediction by Jiahui Lai, Cailian Cheng, Tiantian Liang, Leile Tang, Xinhua Guo, Xun Liu

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Correction of ASCAT, ESA–CCI, and SMAP Soil Moisture Products Using the Multi-Source Long Short-Term Memory (MLSTM) by Qiuxia Xie, Yonghui Chen, Qiting Chen, Chunmei Wang, Yelin Huang

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Statistics and behavior of clinically significant extra-pulmonary vein atrial fibrillation sources: machine-learning-enhanced electrographic flow mapping in persistent atrial fibri... by Peter Ruppersberg, Steven Castellano, Philip Haeusser, Kostiantyn Ahapov, Melissa H. Kong, Stefan G. Spitzer, Stefan G. Spitzer, Georg Nölker, Andreas Rillig, Tamas Szili-Torok

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Association between international normalized ratio-to-albumin ratio and mortality in critically ill patients with gastrointestinal bleeding: a retrospective MIMIC-IV database study by Xingyi Yang, Shasha Ying, Lihong Lv, Yishu Ji, Jiaqian Ying, Huyan Ke

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Analisa Sentimen Financial Technology Peer To Peer Lending Pada Aplikasi Koinworks by Rousyati Rousyati, Windu Gata, Dany Pratmanto, Nia Kusuma Wardhani

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Differential expression of microRNAs and their target genes in cervical intraepithelial neoplasias of varying severity by T. A. Dimitriadi, D. V. Burtsev, E. A. Dzhenkova, D. S. Kutilin

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Global trends in machine learning applications for single-cell transcriptomics research by Xinyu Liu, Zhen Zhang, Chao Tan, Yinquan Ai, Hao Liu, Yuan Li, Jin Yang, Yongyan Song

“…Data screening strictly limited to English articles and reviews, excluding irrelevant document types, focusing on core application scenarios of ML in SCT. …”
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Identifying propionate metabolism-related genes as biomarkers of sepsis development and therapeutic targets by Lechen Yang, Weifeng Shang, Dongjie Chen, Hang Qian, Sheng Zhang, Xiaojun Pan, Sisi Huang, Jiao Liu, Dechang Chen

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Klasifikasi Siswa Slow Learner untuk Mendukung Sekolah dalam Meningkatkan Pemahaman Siswa Menggunakan Algoritma Naïve Bayes by Abdul Harris Wicaksono, Ahmad Afif Supianto, Satrio Hadi Wijoyo, Didik Krisnandi, Ana Heryana

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SLC3A2 as a key anoikis−related gene for prognosis and tumor microenvironment remodeling in melanoma by Xiaojin Liu, Jiaheng Xie, Yingying Xiao

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Addition of punishments by V. M. Stepashin

“…The above fully applies to the provisions of Articles 69-72 of the Criminal Code. Part 2 of Article 71 excludes the first stage of the addition of individual punishments, different in type, namely their transfer (recalculation) to another type of punishment. …”
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Distilling knowledge from graph neural networks trained on cell graphs to non-neural student models by Vasundhara Acharya, Bülent Yener, Gillian Beamer

“…Abstract The development and refinement of artificial intelligence (AI) and machine learning algorithms have been an area of intense research in radiology and pathology, particularly for automated or computer-aided diagnosis. …”
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Penerapan Algoritma Fuzzy Mamdani untuk Memberikan Saran yang Optimal dalam Pengambilan Keputusan pada Permainan KArtu Monster by Muhammad Rizky Perdana, Andika Sundawaijaya, Ahlijati Nuraminah

“…Hasil akurasi dari model pemilihan saran kartu yang dirancang sebesar 0,733 yang artinya cukup baik. Dari hasil tersebut rekomendasi pengembangan penelitian antara lain dengan menambah kartu pada dataset seperti beberapa tipe kartu yang berbeda dan menambahkan atau menggunakan metode yang berbeda serta analisis penambahan input pada variabel Fuzzy untuk menambah akurasi sistem dalam memilih saran kartu yang lebih optimal. …”
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Modeling and numerical analysis of the effect of dissociation/recombination of water molecules on the transport of salt ions in diffusion layer by N. O. Chubyr, A. V. Kovalenko, M. Kh. Urtenov, A. I. Sukhinov, V. A. Gudza

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