Results 1 to 10 of about 252,144 (247)

A Deep Learning-Based Indoor Radio Estimation Method Driven by 2.4 GHz Ray-Tracing Data

open access: yesIEEE Access, 2023
This paper presents a novel method for estimating received signal strength (RSS) in indoor radio propagation using a deep learning approach. The proposed method utilizes a training dataset comprised of imitated real-world indoor environments and radio ...
Changwoo Pyo   +2 more
doaj   +1 more source

Implementation of In-Band Full-Duplex Using Software Defined Radio with Adaptive Filter-Based Self-Interference Cancellation

open access: yesFuture Internet, 2023
For next generation wireless communication systems, high throughput, low latency, and large user accommodation are popular and important required characteristics.
Wei-Shun Liao   +4 more
doaj   +1 more source

Absorbance response of graphene oxide coated on tapered multimode optical fiber towards liquid ethanol [PDF]

open access: yesJournal of the European Optical Society-Rapid Publications, 2015
The investigation of graphene oxide (GO) for sensing applications is attractive due to its nanoscale structure and its sensing properties has yet to be fully understood. In this paper, optical response of GO coated optical fiber sensor towards ethanol is
Girei S. H.   +5 more
doaj   +1 more source

Vehicle-to-Vehicle Based Autonomous Flight Coordination Control System for Safer Operation of Unmanned Aerial Vehicles

open access: yesDrones, 2023
The exponential growth of unmanned aerial vehicles (UAVs) or drones in recent years has raised concerns about their safe operation, especially in beyond-line-of-sight (BLOS) scenarios.
Lin Shan   +5 more
doaj   +1 more source

A Novel Collision Avoidance Strategy with D2D Communications for UAV Systems

open access: yesDrones, 2023
In recent years, safety operation issues related to the autonomous flight of unmanned aerial vehicles (UAVs) have become popular research and development topics worldwide.
Lin Shan   +4 more
doaj   +1 more source

Model-Predictive Quantum Control via Hamiltonian Learning

open access: yesIEEE Transactions on Quantum Engineering, 2022
This article proposes an end-to-end framework for the learning-enabled control of closed quantum systems. The proposed learning technique is the first of its kind to utilize a hierarchical design, which layers probing control, quantum state tomography ...
MAISON CLOUATRE   +2 more
doaj   +1 more source

Distributed Resource Scheduling Based on Potential Game in Dense Cellular Network

open access: yesIEEE Access, 2018
Based on a potential game model, a distributed resource scheduling scheme is proposed to coordinate severe interference in a dense cellular network. First, the subcarrier and power scheduling problem is modeled as a non-cooperative potential game.
Zhiqiang Qi, Tao Peng, Wenbo Wang
doaj   +1 more source

Noise-resistant network: a deep-learning method for face recognition under noise

open access: yesEURASIP Journal on Image and Video Processing, 2017
Along with the developments of deep learning, many recent architectures have been proposed for face recognition and even get close to human performance.
Yuanyuan Ding   +5 more
doaj   +1 more source

RSS-Based Localization of Multiple Directional Sources With Unknown Transmit Powers and Orientations

open access: yesIEEE Access, 2019
Received-signal-strength (RSS)-based localization has received widespread attention recently. Due to the simple acquisition of the RSS measurements, the adequate inexpensive sensors in sensor networks are capable of providing the information needed for ...
Peiliang Zuo   +4 more
doaj   +1 more source

Transmission Scheme with Limited Channel State Information Feedback for 3D MIMO System

open access: yesInternational Journal of Antennas and Propagation, 2015
Three-dimensional (3D) multiple-input multiple-output (MIMO) system can exploit the spatial degree of freedom in vertical dimension and can significantly improve system performance compared with 2D transmission scheme.
Xing Li   +4 more
doaj   +1 more source

Home - About - Disclaimer - Privacy