main webpage W Topic New World Development Agriculture • Vol 15 • No 22 Development of a Tractor Hydrostatic Transmission Efficiency Prediction Model Using Novel Hybrid Deep Kernel Learning and Residual Radial Basis Function Interpolator Model 2025 This study proposes a data-efficient surrogate modeling approach for predicting hydrostatic transmission (HST) system efficiency in tractors using minimal data. Only 27 samples were selected from a dataset of 5092 measurements based on the minimum, mean, and … Article Open New World Development Open Article Page

New World Development

Hong Kong-based company New World Development Company Limited (NWD) is a Hong Kong–based company focused on property, hotels, infrastructure and services and department stores. It was established on 29 May 1970 by Cheng Yu-tung. The company is publicly listed on the Stock Exchange of Hong Kong Limited (SEHK: 17) since 23 November 1972 and was formerly a constituent stock of Hong Kong Hang Seng Index. Over the last four decades, the group has also actively participated in various businesses in Mainland China and established itself as one of the largest foreign direct investors in the country. The group's existing investments in Mainland China has exceeded US$16.5 billion, spreading across four municipalities and over 19 provinces. … Critical Symbolic Virtual Narrative Open New World Development Open Article Page

Exploring foci of: Agriculture • Vol 15 • No 22 Development of a Tractor Hydrostatic Transmission Efficiency Prediction Model Using Novel Hybrid Deep Kernel Learning and Residual Radial Basis Function Interpolator Model 2025 This study proposes a data-efficient surrogate modeling approach for predicting hydrostatic transmission (HST) system efficiency in tractors using minimal data. Only 27 samples were selected from a dataset of 5092 measurements based on the minimum, mean, and maximum values of the input variables (input shaft speed, HST ratio, and load), which were used as the training data. A hybrid prediction model combining deep kernel learning and a residual radial basis function surrogate was developed with hyperparameters opt… Open Article Page

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Explore New World Development W Topic New World Development Agriculture • Vol 15 • No 22 Development of a Tractor Hydrostatic Transmission Efficiency Prediction Model Using Novel Hybrid Deep Kernel Learning and Residual Radial Basis Function Interpolator Model 2025 This study proposes a data-efficient surrogate modeling approach for predicting hydrostatic transmission (HST) system efficiency in tractors using minimal data. Only 27 samples were selected from a dataset of 5092 measurements based on the minimum, mean, and … Article Critical Symbolic Virtual Narrative Open New World Development Open Article Page