Machine Learning-Driven QoT Prediction for Enhanced Optical Networks in DWDM System by Sudha Sakthivel, Mohammad Riyaz Belgaum, Aznida Abu Bakar Sajak, Muhammad Mansoor Alam, Mazliham Mohd Su'ud

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Enhancing Traffic Accident Severity Prediction Using ResNet and SHAP for Interpretability by Ilyass Benfaress, Afaf Bouhoute, Ahmed Zinedine

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Prediction of Enthalpy of Mixing of Binary Alloys Based on Machine Learning and CALPHAD Assessments by Shuangying Huang, Guangyu Wang, Zhanmin Cao

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GeM-LR: Discovering predictive biomarkers for small datasets in vaccine studies. by Lin Lin, Rachel L Spreng, Kelly E Seaton, S Moses Dennison, Lindsay C Dahora, Daniel J Schuster, Sheetal Sawant, Peter B Gilbert, Youyi Fong, Neville Kisalu, Andrew J Pollard, Georgia D Tomaras, Jia Li

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Positional embeddings and zero-shot learning using BERT for molecular-property prediction by Medard Edmund Mswahili, JunHa Hwang, Jagath C. Rajapakse, Kyuri Jo, Young-Seob Jeong

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Using machine learning to predict gamma shielding properties: a comparative study by T A Nahool, A M Abdelmonem, M S Ali, A M Yasser

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Predicting the SYM‐H Index Using the Ring Current Energy Balance Mechanism by Lan Ma, Yong Ji, Chao Shen, Gang Zeng, Peng E, YanYan Yang, Shuo Ti, Nisar Ahmad

“…Therefore, the energy balance mechanism of the ring current can be used to construct an SYM‐H evolution equation for prediction purposes. This study extends a modeling concept developed by Ji et al. (2023), https://doi.org/10.1029/2022ea002560 to establish an algebraic equation for predicting the SYM‐H index based on equilibrium between energy injection and ring current loss. …”
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Prediction of Electrical Grid Stability Using Naïve Bayes and K-Means Algorithm by Baik Budi, Muhammad Ilhamdi Rusydi, Reivan Arya Witama, Queen Hesti Ramadhamy, Refki Budiman

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Exploring rounD Dataset for Domain Generalization in Autonomous Vehicle Trajectory Prediction by Zikai Zhang

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Predicting the von Neumann entanglement entropy using a graph neural network by Anas Saleh

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A reinforcement learning approach for reducing traffic congestion using deep Q learning by S M Masfequier Rahman Swapno, SM Nuruzzaman Nobel, Preeti Meena, V. P. Meena, Ahmad Taher Azar, Zeeshan Haider, Mohamed Tounsi

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The Dynamic Prediction Method for Aircraft Cabin Temperatures Based on Flight Test Data by He Li, Jianjun Zhang, Liangxu Cai, Minwei Li, Yun Fu, Yujun Hao

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An MRI-based deep transfer learning radiomics nomogram for predicting meningioma grade by Nan Li, Xuejun Liu, Xiaona Xia, Xushun Liu, Gang Wang, Chongfeng Duan

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Deep Learning-Based Prediction of Pitch Response for Floating Offshore Wind Turbines by Ruifeng Chen, Ke Zhang, Min Luo, Ye An, Lixiang Guo

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Anesthesia depth prediction from drug infusion history using hybrid AI by Liang Wang, Yiqi Weng, Wenli Yu

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Comparing statistical learning methods for complex trait prediction from gene expression. by Noah Klimkowski Arango, Fabio Morgante

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Combined Prediction of Dust Concentration in Opencast Mine Based on RF-GA-LSSVM by Shuangshuang Xiao, Jin Liu, Yajie Ma, Yonggui Zhang

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Predicting Annual Tigris River Streamflow at Kut Barrage using SAMS Program by Ghufran R. AL-Youdawi, Laith B. AL-Badranee

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XGBoost Algorithm for Cervical Cancer Risk Prediction: Multi-dimensional Feature Analysis by Sudi Suryadi, Masrizal

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Utilizing machine learning for predictive maintenance of production machinery in small and medium enterprises by Yopa Eka Prawatya, Noveicalistus H Djanggu, Ratih Rahmahwati

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