collaborators

6 papers

cs.LG2021

A Fast Parallel Tensor Decomposition with Optimal Stochastic Gradient Descent: an Application in Structural Damage Identification

Ali Anaissi, Basem Suleiman, Seid Miad Zandavi

Structural Health Monitoring (SHM) provides an economic approach which aims to enhance understanding the behavior of structures by continuously collects data through multiple netwo…

cs.RO2020

Control Design of Autonomous Drone Using Deep Learning Based Image Understanding Techniques

Seid Miad Zandavi, Vera Chung, Ali Anaissi

This paper presents a new framework to use images as the inputs for the controller to have autonomous flight, considering the noisy indoor environment and uncertainties. A new Prop…

cs.NE2020

Multi-User Remote lab: Timetable Scheduling Using Simplex Nondominated Sorting Genetic Algorithm

Seid Miad Zandavi, Vera Chung, Ali Anaissi

The scheduling of multi-user remote laboratories is modeled as a multimodal function for the proposed optimization algorithm. The hybrid optimization algorithm, hybridization of th…

cs.LG2020

NeCPD: An Online Tensor Decomposition with Optimal Stochastic Gradient Descent

Ali Anaissi, Basem Suleiman, Seid Miad Zandavi

Multi-way data analysis has become an essential tool for capturing underlying structures in higher-order datasets stored in tensor $\mathcal{X} \in \mathbb{R} ^{I_1 \times \dots \t…

cs.LG2020

Multi-Objective Variational Autoencoder: an Application for Smart Infrastructure Maintenance

Ali Anaissi, Seid Miad Zandavi

Multi-way data analysis has become an essential tool for capturing underlying structures in higher-order data sets where standard two-way analysis techniques often fail to discover…

cs.LG2020

Online Tensor-Based Learning for Multi-Way Data

Ali Anaissi, Basem Suleiman, Seid Miad Zandavi

The online analysis of multi-way data stored in a tensor has become an essential tool for capturing the underlying stru…