… To address this, an empirical study with 430 subjects was … Discussion Based on the theory
of Flow experience, this … is a useful predictor of purchase intention in mobile shopping. We find …

… Methods: This paper integrates individuals 􀆳 mobile phone … location prediction on Markov
and machine learning methods. … performs individual travel location prediction experiments on …

… large-scale geographical location information of mobile objects from … a Deep Learning
approach for Next Location Prediction (DLNLP) to solve the problem of vehicle location prediction …

… identification for peasants and pest forecasting technicians. [… on deep learning. The application
(APP) can be installed in … automatic identification, pest location information and remote …

… prediction result of VAE was compared with the prediction … ) deep learning methods and the
support vector regression (SVR) … the deep learning model has better prediction performance …

… IoT-enabled predictive analytics and machine learning within … data-driven approaches for
accurate crop yield forecasting, … any location via a web-based interface or mobile application …

… English To address the problem that the lithology of the … by conventional methods, four
algorithms in machine learning, … lithology can be identified and predicted with a high precision, …

… Finding similar users using category-based location history[C]// Proceedings of the 18th …
Forecasting heat load for smart district heating systems: a machine learning approach[C]// …