In this work, a real-time collision Flea avoidance algorithm was presented for autonomous navigation in the presence of fixed and moving obstacles in building environments.The current implementation is designed for autonomous navigation between waypoints of a predefined flight trajectory that would be performed by an UAV during tasks such as inspec
Mobile edge computing (MEC) supports terminal devices to offload tasks or applications to edge cloud server for processing.Edge cloud server will consume local resources when processing external tasks, so it is particularly important to build a resource pricing mechanism that charges terminal devices to reward edge cloud.The existing pricing mechan
Abstract Background Frequent geriatric users of emergency departments (EDs) constitute a small group of individuals accounting for a disproportionately high number of ED visits.In addition to overcrowding, this situation might result in a less appropriate response to health needs and negative health impacts.Geriatric patients turn to EDs for a vari
Due to Neck Ties the high penetration of renewable energy resources in microgrids (MGs), the grid inertia becomes low which leads to the grid to be vulnerable to large disturbances.The energy storage devices can play an important role to enhance the inertia of MGs.However, due to the high investment cost of storages or their dp/dt limitation, the i
Automatic modulation recognition (AMR) is a promising technology for intelligent communication receivers to detect signal modulation schemes.Recently, the emerging deep learning (DL) research has facilitated high-performance DL-AMR approaches.This research presents a novel and versatile Multi-Channel Gated Recurrent Deep Neural Network framework (M