Design and Analysis of Single Stack AFPM Machines with and without Air gap Between Rotor and Magnetic Poles by Abdul Majeed Shaikh, Umar Abdul Majeed, Muhammad Fawad Shaikh, Sheeraz Ahmed, Muhammad Bux

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Comparative Analysis of Voting and Stacking Ensemble Learning for Heart Disease Prediction: A Machine Learning Approach by Gregorius Airlangga

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Stacking Ensemble Machine Learning Modelling for Milk Yield Prediction Based on Biological Characteristics and Feeding Strategies by Ruiming Xing, Baihua Li, Shirin Dora, Michael Whittaker, Janette Mathie

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Research on state machine control optimization of double-stack fuel cell/super capacitor hybrid system. by Mengjie Li, Qianchao Liang, Jianfeng Zhao, Yongbao Liu, Yan Qin

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Designing a hybrid stack ensemble model to enhance sepsis classification using data triangulation approach by Safiya Parvin A․, Saleena B․

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Prediction of Soil Liquefaction Using a Multi-Algorithm Technique: Stacking Ensemble Techniques and Bayesian Optimization by Long Tsang, Mahdi Akbari, Pouyan Fakharian

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Prediction of petrophysical properties through comparative post-stack inversion techniques using advance Neural Networking by Pal Washa Shahzad Rathore, Matloob Hussain, Muhammad Bilal Malik, Sher Afgan

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Tachyon: Enhancing stacked models using Bayesian optimization for intrusion detection using different sampling approaches by T. Anitha Kumari, Sanket Mishra

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A hybrid model for improving customer lifetime value prediction using stacking ensemble learning algorithm by Amir Mohammad Haddadi, Hodjat Hamidi

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Enhancement of waste heat recovery from exhaust stack silencers in A simple cycle gas turbine by Bouria Faqihi, Fadi Ghaith

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WEST GCN-LSTM: Weighted stacked spatio-temporal graph neural networks for regional traffic forecasting by Theodoros Theodoropoulos, Angelos-Christos Maroudis, Uwe Zdun, Antonios Makris, Konstantinos Tserpes

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Stacking ensemble learning framework for predicting tribological properties and optimal additive ratios of amide-based greases by Yanqiu Xia, Zhen He, Xin Feng

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Stacking ensemble machine learning for predicting land surface temperature hotspots using landsat 9 data by Momohjimoh Abdulsalami, Dahiru Dahuwa, Saratu Muhammad Hussaini, Yahaya Jibrin Danjuma, Michael Adewale Ibitomi, Danga Onimisi Abdulmalik, Bunmi Oyekola Isaac, Zainab Usman, Joseph Omeiza Alao, Aliyu Abdullateef

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CropCast: Harvesting the future with interfused machine learning and advanced stacking ensemble for precise crop prediction by Chetan Raju, Ashoka D.V., Ajay Prakash B.V.

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XGBoost–random forest stacking with dual-state Kalman filtering for real-time battery SOC estimation by Robin K.E. Tau, Abid Yahya, Mmoloki Mangwala, Nonofo M.J. Ditshego

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Development of a method for measuring low energy electron beam irradiation parameters by calorimetry and step stacking by LUO Rui, ZHANG Yuhe, MAO Naqing

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Double-layer stacking optimization for electricity theft detection considering data incompleteness and intra-class imbalance by Leijiao Ge, Jingjing Li, Tianshuo Du, Luyang Hou

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Effect of using MgO coating with multiple coatings on the optical properties of a five-layer stack by Zainab I. Al-Assadi

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A stacking ensemble model for food demand forecasting: A preventative approach to food waste reduction by Asmaa Seyam, Sujith Samuel Mathew, Bo Du, May El Barachi, Jun Shen

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Optimizing blood glucose predictions in type 1 diabetes patients using a stacking ensemble approach by Vincent B. Liu, Laura Y. Sue, Oscar Madrid Padilla, Yingnian Wu

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