20 citations · 40 across the 11 of their papers we have counts for
11 papers
Benchmarking Preprocessing and Integration Methods in Single-Cell Genomics
Ali Anaissi, Seid Miad Zandavi, Weidong Huang +4
Single-cell data analysis has the potential to revolutionize personalized medicine by characterizing disease-associated molecular changes at the single-cell level. Advanced single-…
Optimization of Federated Learning's Client Selection for Non-IID Data Based on Grey Relational Analysis
Shuaijun Chen, Omid Tavallaie, Michael Henri Hambali +5
Federated learning (FL) is a novel distributed learning framework designed for applications with privacy-sensitive data. Without sharing data, FL trains local models on individual…
GT-TSCH: Game-Theoretic Distributed TSCH Scheduler for Low-Power IoT Networks
Omid Tavallaie, Seid Miad Zandavi, Hamed Haddadi +1
Time-Slotted Channel Hopping (TSCH) is a synchronous medium access mode of the IEEE 802.15.4e standard designed for providing low-latency and highly-reliable end-to-end communicati…
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…
PIDA: Smooth and Stable Flight Using Stochastic Dual Simplex Algorithm and Genetic Filter
Seid Miad Zandavi, Vera Chung, Ali Anaissi
This paper presents a new Proportional-Integral-Derivative-Accelerated (PIDA) control with a derivative filter to improve quadcopter flight stability in a noisy environment. The ma…
Forecasting the Spread of Covid-19 Under Control Scenarios Using LSTM and Dynamic Behavioral Models
Seid Miad Zandavi, Taha Hossein Rashidi, Fatemeh Vafaee
To accurately predict the regional spread of Covid-19 infection, this study proposes a novel hybrid model which combines a Long short-term memory (LSTM) artificial recurrent neural…
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…
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…
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…
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…
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…