… surrounding AI and machine learning—energy consumption … in its latest iteration)—to predict
patterns in responses to user … a second based on large amounts of incoming sensor data. …

… This study presents a transfer learning approach from a deep learning model and an open-…
Wu, “Detection and tracking of pedestrians and vehicles using roadside LiDAR sensors,” …

… rural power subsistence lifestyle machine learning energy delivery … solar HRES model based
design model predictive code … , a sun tracking sensor such as a sun sensor or webcam or …

… China’s carbon emissions prediction model based on … -sensor data fusion using a relevance
vector machine based … -change detecting model on highway based on deep learning DBN …

… Here, we present some researches which predict the … to keep partial functioning and
log the error for tracking. … In the trade-off between energy and sensing data, we chose to …

… , a sun tracking sensor such as a sun sensor or webcam or video camera with vision based
sun following … , head tracking, hand tracking, eye tracking and car tracking principles in solar …

… Chen XL (2013) Construction and management method of model orienting complex decision…
et al (2015) Prediction of retweet counts by a back propapagtion neural network. J Tsinghua …

… An equivalent fuel consumption model based on the overall … vehicle crash sensing
algorithm combining simulation model … In the model, the results of tracking was fed back to the …

… of closed loop of automotive industry using fuzzy expert system. El-… Prediction of supply
chain performance is a part of soft system category that built from the database and model base…

… for Unmanned Aerial Vehicles (UAVs) equipped with limited range sensors and computational
… Furthermore, we consider Gaussian process based anisotropic field for predicting the …