Dynamic Path Planning for Vehicles Based on Causal State-Masking Deep Reinforcement Learning by Xia Hua, Tengteng Zhang, Jun Cao

“…To address this challenge, we propose a dynamic path-planning method based on our Causal State-Masking Twin-delayed Deep Deterministic Policy Gradient (CSM-TD3) algorithm. CSM-TD3 integrates a causal inference mechanism by introducing dynamic state masks and intervention mechanisms, allowing the policy network to focus on genuine causal features for decision optimization and thereby enhancing the convergence speed and generalization capabilities of the agent. …”
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Nomological Deductive Reasoning for Trustworthy, Human-Readable, and Actionable AI Outputs by Gedeon Hakizimana, Agapito Ledezma Espino

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Computing Idle Times in Fuzzy Flexible Job Shop Scheduling by Pablo García Gómez, Inés González-Rodríguez, Camino R. Vela

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Enhanced Viral Genome Classification Using Large Language Models by Hemalatha Gunasekaran, Nesaian Reginal Wilfred Blessing, Umar Sathic, Mohammad Shahid Husain

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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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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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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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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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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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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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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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A novel prediction model for the prognosis of non-small cell lung cancer with clinical routine laboratory indicators: a machine learning approach by Yuli Wang, Na Mei, Ziyi Zhou, Yuan Fang, Jiacheng Lin, Fanchen Zhao, Zhihong Fang, Yan Li

“…Finally, critical variables in the optimal model were screened based on the interpretable algorithms to build a decision tree to facilitate clinical application. …”
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Development of a machine learning prediction model for loss to follow-up in HIV care using routine electronic medical records in a low-resource setting by Tamrat Endebu, Girma Taye, Wakgari Deressa

“…Algorithm performance was compared via the corrected resampled t test (p < 0.05), and decision curve analysis (DCA) was used to assess the model’s clinical utility. …”
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Development of a prediction model for hemorrhagic transformation after intravenous thrombolysis in patients with acute ischemic stroke: a retrospective analysis by Yidan Chen, Wendie Lv, Xuhui Liu, Mingmin Yan, Jing Zheng, Dan Yan, Dan Wang, Yulin Yao, Bingxi Liu, Yahui Li, Yue Wan

“…The area under the ROC curve (AUC) of the line graph was 0.885 (95%CI = 0.816 ~ 0.953), and the calibration curve showed that the probability predicted by the line graph was in good agreement with the actual observed values. The ROC curve and decision curve analysis (DCA), which assesses clinical usefulness, showed that the nomogram provided greater net benefit than the three individual predictors. …”
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Monitoring patient pathways at a secondary healthcare services through process mining via Fuzzy Miner by Güzin Özdağoğlu, Muhammet Damar, Fatih Safa Erenay, Hale Turhan Damar, Osman Himmetoğlu, Andrew David Pinto

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A novel method to predict the haemoglobin concentration after kidney transplantation based on machine learning: prediction model establishment and method optimization by Songping He, Xiangxi Li, Fangyu Peng, Jiazhi Liao, Xia Lu, Hui Guo, Xin Tan, Yanyan Chen

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