Optimizing cervical cancer classification using transfer learning with deep gaussian processes and support vector machines by Emmanuel Ahishakiye, Fredrick Kanobe

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Improving the Predictability of the Madden‐Julian Oscillation at Subseasonal Scales With Gaussian Process Models by Haoyuan Chen, Emil Constantinescu, Vishwas Rao, Cristiana Stan

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A semi-supervised learning technique assisted multi-objective evolutionary algorithm for computationally expensive problems by Zijian Jiang, Chaoli Sun, Xiaotong Liu, Hui Shi, Sisi Wang

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Application of Mechanistic Models and the Gaussian Process Model to Predict Bacterial Growth on Baby Spinach During Refrigerated Storage by Sriya Sunil, Sarah I. Murphy, Ruixi Chen, Wei Chen, Joseph Guinness, Li-Qun Zhang, Renata Ivanek, Martin Wiedmann

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A Digital Twin Framework With Meta- and Transfer Learning for Scalable Multi-Machine Modeling and Optimization in Semiconductor Manufacturing by Chin-Yi Lin, Tzu-Liang Tseng, Tsung-Han Tsai

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Design of a High-Efficiency External Rotor Interior Permanent Magnet Synchronous Motor Without Magnetic Leakage Flux Path by Kyoung-Soo Cha, Jae-Hyun Kim, Soo-Gyung Lee, Min-Ro Park

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Solving Fredholm Integral Equations of the First Kind Using a Gaussian Process Model Based on Sequential Design by Renjun Qiu, Juanjuan Xu, Ming Xu

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