4 天前 - … To address this difficulty, this study presents a novel … and data delivery speed of
mobile and web applications. This study … 4) The utilization of machine learning methods for the …

5 天前 - … , activity levels, location, and phone usage patterns) which may predict increases
in … machine learning approaches to determine if any one algorithm yields superior predictive …

8 天前 - … position, and analyze the environment for the safety of the … details of IoT and
Machine Learning in precision agriculture. A … such as the end user’s mobile number, the current …

9 天前 - … Traditional machine learning methods use datadriven models to predict trajectories
[9], [… the real user location coordinates and the predicted location coordinates as follows: …

9 天前 - … To address these challenges, this paper proposes a Multi-… Hence, the distributed
machine learning approaches are … In mobile communication network, one of the primary …

14 天前 - … Abstract—In this work, we propose a method to improve the energy … deep
reinforcement learning (DRL) technique to address this optimization problem. The DRL model …

16 天前 - … By using hash encoding to map coordinates to trainable … illumination synthesis
through deep learning. Moreover, Mip… density prediction and rendering network enables learning …

19 天前 - … predict the time and location where potential tasks may appear in the future. In the
task assignment stage, we present a Deep Reinforcement Learning (DRL) approach … workers …

19 天前 - … to remain competitive, address their customers' changing … Approach – This study
employs machine learning techniques to predict perceived system usability scores of mobile …

19 天前 - … In Section 14.4 the federated and machine learning models are … The approach
performs the prediction using … ensure users are connected based on the amount of co-located …