4 papers
A novel forecasting framework combining virtual samples and enhanced Transformer models for tourism demand forecasting
Tingting Diao, Xinzhang Wu, Lina Yang +2
Accurate tourism demand forecasting is hindered by limited historical data and complex spatiotemporal dependencies among tourist origins. A novel forecasting framework integrating…
Learnable Group Transform: Enhancing Genotype-to-Phenotype Prediction for Rice Breeding with Small, Structured Datasets
Yunxuan Dong, Siyuan Chen, Jisen Zhang
Genotype-to-Phenotype (G2P) prediction plays a pivotal role in crop breeding, enabling the identification of superior genotypes based on genomic data. Rice (Oryza sativa), one of t…
Genotype-to-Phenotype Prediction in Rice with High-Dimensional Nonlinear Features
Zeyuan Zhou, Siyuan Chen, Xinzhang Wu +2
Genotype-to-Phenotype prediction can promote advances in modern genomic research and crop improvement, guiding precision breeding and genomic selection. However, high-dimensional n…
A Tidal Current Speed Forecasting Model based on Multi-Periodicity Learning
Tengfei Cheng, Yangdi Huang, Ling Xiao +1
Tidal energy is one of the key components in increasing the penetration of renewable energy. High tidal energy penetration into the electrical grid depends on accurate tidal curren…