E-CONDOR: Efficient Contour-Based Detection Of Random Spatial Signals From UAV Observations Using Dual Stochastic Gradient

Autor: Zahra, Maryam, Tajiani, Homa, Alasti, Hadi

This paper presents a novel efficient method for spatial monitoring of the distribution of correlated field signals, such as temperature, humidity, etc. using unmanned aerial vehicles (UAVs). The spatial signal is compressed to its iso-contour lines

Externí odkaz: http://arxiv.org/abs/2411.17449

An Optimal Detector for Hierarchical $2^n$ QAM

Autor: Alasti, Hadi

A practical and scalable, optimal detection algorithm is introduced for hierarchical Gray-coded $2^n$ QAM for application in software defined communications. The introduced optimal detection algorithm is based on successive interference cancellation

Externí odkaz: http://arxiv.org/abs/1910.12413

Efficient Sensing of Correlated Spatiotemporal Signals: A Stochastic Gradient Approach

Autor: Alasti, Hadi

A significantly low cost and tractable progressive learning approach is proposed and discussed for efficient spatiotemporal monitoring of a completely unknown, two dimensional correlated signal distribution in localized wireless sensor field. The spa

Externí odkaz: http://arxiv.org/abs/1908.07674

Efficient tracking of spatially correlated signals in wireless sensor fields: A weighted stochastic gradient approach.

Autor: Alasti, Hadi

Publikováno v: IET Wireless Sensor Systems (Wiley-Blackwell); Apr2021, Vol. 11 Issue 2, p78-90, 13p

Controlled Intelligent Agents’ Security Model for Multi-Tenant Cloud Computing Infrastructures.

Autor: Hamilton, Howard, Alasti, Hadi

Publikováno v: International Journal of Grid & High Performance Computing; Jan-Mar2017, Vol. 9 Issue 1, p1-13, 13p, 1 Color Photograph, 6 Diagrams, 1 Chart