Simon Y. Foo
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View article: Perspectives on whole body and tissue-specific metabolic flexibility and implications in cardiometabolic diseases
Perspectives on whole body and tissue-specific metabolic flexibility and implications in cardiometabolic diseases Open
Metabolic flexibility is the body's ability to switch between fuel sources in response to changing supply. This adaptability is crucial for maintaining energy balance and metabolic homeostasis, involving key processes like insulin signalin…
View article: State of Charge Estimation of Lithium-Ion Batteries Using Stacked Encoder–Decoder Bi-Directional LSTM for EV and HEV Applications
State of Charge Estimation of Lithium-Ion Batteries Using Stacked Encoder–Decoder Bi-Directional LSTM for EV and HEV Applications Open
Energy storage technologies are being used excessively in industrial applications and in automobiles. Battery state of charge (SOC) is an important metric to be monitored in these applications to ensure proper and safe functionality. Since…
View article: Forecasting of Electric Load Using a Hybrid LSTM-Neural Prophet Model
Forecasting of Electric Load Using a Hybrid LSTM-Neural Prophet Model Open
Load forecasting (LF) is an essential factor in power system management. LF helps the utility maximize the utilization of power-generating plants and schedule them both reliably and economically. In this paper, a novel and hybrid forecasti…
View article: Recent Advances in Deep Reinforcement Learning Applications for Solving Partially Observable Markov Decision Processes (POMDP) Problems Part 2—Applications in Transportation, Industries, Communications and Networking and More Topics
Recent Advances in Deep Reinforcement Learning Applications for Solving Partially Observable Markov Decision Processes (POMDP) Problems Part 2—Applications in Transportation, Industries, Communications and Networking and More Topics Open
The two-part series of papers provides a survey on recent advances in Deep Reinforcement Learning (DRL) for solving partially observable Markov decision processes (POMDP) problems. Reinforcement Learning (RL) is an approach to simulate the…
View article: Recent Advances in Deep Reinforcement Learning Applications for Solving Partially Observable Markov Decision Processes (POMDP) Problems: Part 1—Fundamentals and Applications in Games, Robotics and Natural Language Processing
Recent Advances in Deep Reinforcement Learning Applications for Solving Partially Observable Markov Decision Processes (POMDP) Problems: Part 1—Fundamentals and Applications in Games, Robotics and Natural Language Processing Open
The first part of a two-part series of papers provides a survey on recent advances in Deep Reinforcement Learning (DRL) applications for solving partially observable Markov decision processes (POMDP) problems. Reinforcement Learning (RL) i…
View article: A comparison of machine learning algorithms for diabetes prediction
A comparison of machine learning algorithms for diabetes prediction Open
Diabetes is a disease that has no permanent cure; hence early detection is required. Data mining, machine learning (ML) algorithms, and Neural Network (NN) methods are used in diabetes prediction in our research. We used the Pima Indian Di…
View article: Facial Emotion Recognition Using Asymmetric Pyramidal Networks With Gradient Centralization
Facial Emotion Recognition Using Asymmetric Pyramidal Networks With Gradient Centralization Open
Facial expression recognition (FER) is a promising but challenging area of Computer Vision (CV). Many researchers have devoted significant resources to exploring FER in recent years, but an impediment remains: classifiers perform well on f…
View article: Improvements to Temperature, Warburg Impedance, and Voltage Computations for a Design-Based Predictive Model for Lithium-Ion Capacitors
Improvements to Temperature, Warburg Impedance, and Voltage Computations for a Design-Based Predictive Model for Lithium-Ion Capacitors Open
An earlier study manipulated the Butler-Volmer equation to effectively model a lithium-ion capacitor’s (LIC) energy storage as a function of its constituent components and charge current. However, this model had several shortcomings: compu…
View article: Observations on Arrhenius Degradation of Lithium-Ion Capacitors
Observations on Arrhenius Degradation of Lithium-Ion Capacitors Open
Earlier research determined that lithium-ion capacitor (LIC) cycle life degradation can be accelerated by elevated temperature. LIC cycle life degradation can be described by an Arrhenius equation. This study performed cycle life testing a…
View article: Efficient, Stable, and Low-Cost PbS Quantum Dot Solar Cells with Cr–Ag Electrodes
Efficient, Stable, and Low-Cost PbS Quantum Dot Solar Cells with Cr–Ag Electrodes Open
PbS quantum dots (QDs) are a promising nanostructured material for solar cells. However, limited works have been done to explore the active layer thickness, layer deposition techniques, stability improvement, and cost reduction for PbS QD …
View article: Modeling of High-Efficiency Multi-Junction Polymer and Hybrid Solar Cells to Absorb Infrared Light
Modeling of High-Efficiency Multi-Junction Polymer and Hybrid Solar Cells to Absorb Infrared Light Open
In this paper, we present our work on high-efficiency multi-junction polymer and hybrid solar cells. The transfer matrix method is used for optical modeling of an organic solar cell, which was inspired by the McGehee Group in Stanford Univ…
View article: Multi-stage optimization of a deep model: A case study on ground motion modeling
Multi-stage optimization of a deep model: A case study on ground motion modeling Open
In this study, a multi-stage optimization procedure is proposed to develop deep neural network models which results in a powerful deep learning pipeline called intelligent deep learning (iDeepLe). The proposed pipeline is then evaluated by…
View article: Modeling of a photovoltaic array in MATLAB simulink and maximum power point tracking using neural network
Modeling of a photovoltaic array in MATLAB simulink and maximum power point tracking using neural network Open
In this paper, we present our work on Maximum Power Point Tracking (MPPT) using neural network. The MATLAB/Simulink is used to establish a model of photovoltaic array. The Simulink model is tested with different temperature and irradiation…
View article: Optimized Naive‐Bayes and Decision Tree Approaches for fMRI Smoking Cessation Classification
Optimized Naive‐Bayes and Decision Tree Approaches for fMRI Smoking Cessation Classification Open
This paper aims at developing new theory‐driven biomarkers by implementing and evaluating novel techniques from resting‐state scans that can be used in relapse prediction for nicotine‐dependent patients and future treatment efficacy. Two c…
View article: Improving the Morphology of the Perovskite Absorber Layer in Hybrid Organic/Inorganic Halide Perovskite MAPbI<sub>3</sub> Solar Cells
Improving the Morphology of the Perovskite Absorber Layer in Hybrid Organic/Inorganic Halide Perovskite MAPbI<sub>3</sub> Solar Cells Open
Recently, perovskite solar cells have attracted tremendous attention due to their excellent power conversion efficiency, low cost, simple fabrications, and high photovoltaic performance. Furthermore, the perovskite solar cells are lightwei…