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01/26/2023
Experimenting with an Evaluation Framework for Imbalanced Data Learning (EFIDL)
Introduction Data imbalance is one of the crucial issues in big data ana...
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10/07/2022
iMedBot: A Web-based Intelligent Agent for Healthcare Related Prediction and Deep Learning
Background: Breast cancer is a multifactorial disease, genetic and envir...
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08/03/2022
Empirical Study of Overfitting in Deep FNN Prediction Models for Breast Cancer Metastasis
Overfitting is defined as the fact that the current model fits a specifi...
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06/24/2022
Eco-driving for Electric Connected Vehicles at Signalized Intersections: A Parameterized Reinforcement Learning approach
This paper proposes an eco-driving framework for electric connected vehi...
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06/24/2022
Learning the policy for mixed electric platoon control of automated and human-driven vehicles at signalized intersection: a random search approach
The upgrading and updating of vehicles have accelerated in the past deca...
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04/22/2022
Distributed stochastic projection-free solver for constrained optimization
This paper proposes a distributed stochastic projection-free algorithm f...
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11/06/2021
Distributed stochastic proximal algorithm with random reshuffling for non-smooth finite-sum optimization
The non-smooth finite-sum minimization is a fundamental problem in machi...
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06/28/2021