Automated Evaluation Method for Risk Behaviors of Quay Crane Operators at Ports Using Virtual Reality by Mengjie He, Yujie Zhang, Yi Liu, Yang Shen, Chao Mi

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Interpretable Reinforcement Learning for Sequential Strategy Prediction in Language-Based Games by Jun Zhao, Jintian Ji, Robail Yasrab, Shuxin Wang, Liang Yu, Lingzhen Zhao

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Advancements in Machine Learning-Based Intrusion Detection in IoT: Research Trends and Challenges by Márton Bendegúz Bankó, Szymon Dyszewski, Michaela Králová, Márton Bertalan Limpek, Maria Papaioannou, Gaurav Choudhary, Nicola Dragoni

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Application of SHAP and Multi-Agent Approach for Short-Term Forecast of Power Consumption of Gas Industry Enterprises by Alina I. Stepanova, Alexandra I. Khalyasmaa, Pavel V. Matrenin, Stanislav A. Eroshenko

“…A comparative analysis of various algorithms for constructing decision tree ensembles was conducted to forecast power consumption by gas industry enterprises with different numbers of categorical features. …”
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Utilizing Cell Transmission Models to Alleviate Accident-Induced Traffic Congestion in Two-Way Grid Networks by Yi-Sheng Huang, Yi-Shun Weng, Chun-Yu Shih

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Explainable MRI-Based Ensemble Learnable Architecture for Alzheimer’s Disease Detection by Opeyemi Taiwo Adeniran, Blessing Ojeme, Temitope Ezekiel Ajibola, Ojonugwa Oluwafemi Ejiga Peter, Abiola Olayinka Ajala, Md Mahmudur Rahman, Fahmi Khalifa

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Tradeoffs When Building and Running Cohort and Patient-Level Markov Simulation Models by Balázs Nagy, Ahmad Nader Fasseeh, Jonathan D. Campbell, Zoltán Kaló, Kareem Ahmed El-Fass, Rok Hren, Bertalan Németh

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An Efficient Explainability of Deep Models on Medical Images by Salim Khiat, Sidi Ahmed Mahmoudi, Sédrick Stassin, Lillia Boukerroui, Besma Senaï, Saïd Mahmoudi

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Evaluation and Choice of an Anti-Aircraft Missile System under Uncertain Conditions Based on Fuzzy-Integral Calculus and Hierarchical Cluster Analysis by Sergey Sveshnikov, Victor Bocharnikov, Yuri Mudrak

“…The hierarchy relates the characteristics of the AAMWSs to the three top-level criteria. In the space of these criteria, the second algorithm based on hierarchical clustering forms a class of the best AAMWSs equivalent to each other. …”
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Cost Optimization of a M/M/1/Wv&Mav Queueing System Using Newton-Raphson and Particle Swarm Optimization Techniques by Ramachandran Remya, Amina Angelika Bouchentouf, Kaliappan Kalidass

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Evaluating women’s happiness levels with ARASsort: The case of Türkiye by Semiha Bal, Gül Tekin Temur, Sait Gül

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Analysing and Forecasting the Energy Consumption of Healthcare Facilities in the Short and Medium Term. A Case Study by Ali Koç, Serap Ulusam Seçkiner

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Interval-valued spherical fuzzy extension of SWARA for prioritizing strategies to unlock Africa's potential in the carbon credit market by Tafuteni Chusi, Su Qian, Seyyed Edalatpanah, Yanjun Qiu, Mouhamed Bayane Bouraima, Akpa Ajayi

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Robust Hybrid Data-Level Approach for Handling Skewed Fat-Tailed Distributed Datasets and Diverse Features in Financial Credit Risk by Musara Keith R, Ranganai Edmore, Chimedza Charles, Matarise Florence, Munyira Sheunesu

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A competitive-collaborative nonnegative representation method and its application for face recognition in smart campus by Tingting Guo, Ziqi Li, Jun Sun, Yonghong Zhang, Qingfeng Xia, Ke Ren

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An improved electrocardiogram arrhythmia classification performance with feature optimization by Annisa Darmawahyuni, Siti Nurmaini, Bambang Tutuko, Muhammad Naufal Rachmatullah, Firdaus Firdaus, Ade Iriani Sapitri, Anggun Islami, Jordan Marcelino, Rendy Isdwanta, Muhammad Ikhwan Perwira

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Combining theory and usability testing to inform optimization and implementation of an online primary care depression management tool by Nicola McCleary, Justin Presseau, Isabelle Perkins, Brittany Mutsaers, Claire E. Kendall, Janet Yamada, Katharine Gillis, Douglas Green

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Development of an artificial intelligence-based application for the diagnosis of sarcopenia: a retrospective cohort study using the health examination dataset by Chang-Won Jeong, Dong-Wook Lim, Si-Hyeong Noh, Sung Hyun Lee, Chul Park

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A novel method for assessing cycling movement status: an exploratory study integrating deep learning and signal processing technologies by Yingchun He, Yi-haw Jan, Fan Yang, Yunru Ma, Chun Pei

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Intracranial stenosis prediction using a small set of risk factors in the Tromsø Study by Luca Bernecker, Liv-Hege Johnsen, Torgil Riise Vangberg

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