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03/23/2022
Privacy-Preserving Personalized Fitness Recommender System (P3FitRec): A Multi-level Deep Learning Approach
Recommender systems have been successfully used in many domains with the...
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01/13/2022
Conditional Variational Autoencoder with Balanced Pre-training for Generative Adversarial Networks
Class imbalance occurs in many real-world applications, including image ...
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11/04/2021
A Fast Parallel Tensor Decomposition with Optimal Stochastic Gradient Descent: an Application in Structural Damage Identification
Structural Health Monitoring (SHM) provides an economic approach which a...
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11/04/2021
A Personalized Federated Learning Algorithm: an Application in Anomaly Detection
Federated Learning (FL) has recently emerged as a promising method that ...
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06/17/2020
PIDA: Smooth and Stable Flight Using Stochastic Dual Simplex Algorithm and Genetic Filter
This paper presents a new Proportional-Integral-Derivative-Accelerated (...
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04/27/2020
Control Design of Autonomous Drone Using Deep Learning Based Image Understanding Techniques
This paper presents a new framework to use images as the inputs for the ...
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03/26/2020
Multi-User Remote lab: Timetable Scheduling Using Simplex Nondominated Sorting Genetic Algorithm
The scheduling of multi-user remote laboratories is modeled as a multimo...
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03/18/2020
NeCPD: An Online Tensor Decomposition with Optimal Stochastic Gradient Descent
Multi-way data analysis has become an essential tool for capturing under...
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03/11/2020
Multi-Objective Variational Autoencoder: an Application for Smart Infrastructure Maintenance
Multi-way data analysis has become an essential tool for capturing under...
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03/10/2020