Eric Tatt Wei Ho
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View article: The Utilization of Printed Circuit Boards (PCBs) in Axial Flux Machines: A Systematic Review
The Utilization of Printed Circuit Boards (PCBs) in Axial Flux Machines: A Systematic Review Open
View article: Segment Any Class (SAC): Multi-Class Few-Shot Semantic Segmentation via Class Region Proposals
Segment Any Class (SAC): Multi-Class Few-Shot Semantic Segmentation via Class Region Proposals Open
The Segment-Anything Model (SAM) is a vision foundation model for segmentation with a prompt-driven framework. SAM generates class-agnostic masks based on user-specified instance-referring prompts. However, adapting SAM for automated segme…
View article: Generalizable Neural Network Design Methodology of Digital Integrated Circuits for Reusable Implementations on Neuromorphic System
Generalizable Neural Network Design Methodology of Digital Integrated Circuits for Reusable Implementations on Neuromorphic System Open
Deep learning with neural network could learn many features and skills to perform various tasks, including digital circuit design. Previous exploration proved that artificial neural networks can be realized into actual hardware circuit imp…
View article: HyTra: Hyperclass Transformer for WiFi Fingerprinting-based Indoor Localization
HyTra: Hyperclass Transformer for WiFi Fingerprinting-based Indoor Localization Open
The emerging demand for a variety of novel Location-based Services (LBS) by consumers and industrial users is driven by the rapid and extensive proliferation of mobile smart devices. Sensors embedded in smart devices or machines provide wi…
View article: Wearable microfluidic sweat collection platform with a calorimetric flow rate sensor for realtime and long-term sweat rate measurements
Wearable microfluidic sweat collection platform with a calorimetric flow rate sensor for realtime and long-term sweat rate measurements Open
This work presents the design and fabrication of a wearable microfluidic patch-based system for sweat collection with a calorimetric flow rate sensor based on heat convection for measuring sweat rate (SR). The effects were predicted using …
View article: Recurrent neural network implementation of digital integrated circuits to mitigate challenges in design verification
Recurrent neural network implementation of digital integrated circuits to mitigate challenges in design verification Open
Design verification is the dominant stage that consumes the most resources in the digital integrated circuit (IC) design process. Design verification is important because human designers imperfectly convert high-level specifications to low…
View article: Advanced Elastic and Reservoir Properties Prediction through Generative Adversarial Network
Advanced Elastic and Reservoir Properties Prediction through Generative Adversarial Network Open
The prediction of subsurface properties such as velocity, density, porosity, and water saturation has been the main focus of petroleum geosciences. Advanced methods such as Full Waveform Inversion (FWI), Joint Migration Inversion (JMI) and…
View article: HyTra: Hyperclass Transformer for WiFi Fingerprinting-based Indoor Localization
HyTra: Hyperclass Transformer for WiFi Fingerprinting-based Indoor Localization Open
Indoor localization is an active area of research dominated by traditional machine-learning techniques. Deep learning-based systems have shown unprecedented improvements and have accomplished exceptional results over the past decade, espec…
View article: Sparsity-Aware Orthogonal Initialization of Deep Neural Networks
Sparsity-Aware Orthogonal Initialization of Deep Neural Networks Open
Deep neural networks have achieved impressive pattern recognition and generative abilities on complex tasks by developing larger and deeper models, which are increasingly costly to train and implement. There is in tandem interest to develo…
View article: Editorial: Neuroimaging and informatics for successful aging
Editorial: Neuroimaging and informatics for successful aging Open
EDITORIAL article Front. Hum. Neurosci., 28 July 2022Sec. Brain Health and Clinical Neuroscience https://doi.org/10.3389/fnhum.2022.976524
View article: Conversational Task Increases Heart Rate Variability of Individuals Susceptible to Perceived Social Isolation
Conversational Task Increases Heart Rate Variability of Individuals Susceptible to Perceived Social Isolation Open
Studies showed that introversion is the strongest personality trait related to perceived social isolation (loneliness), which can predict various complications beyond objective isolation such as living alone. Lonely individuals are more li…
View article: Working Memory Performance under a Negative Affect Is More Susceptible to Higher Cognitive Workloads with Different Neural Haemodynamic Correlates
Working Memory Performance under a Negative Affect Is More Susceptible to Higher Cognitive Workloads with Different Neural Haemodynamic Correlates Open
The effect of stress on task performance is complex, too much or too little stress negatively affects performance and there exists an optimal level of stress to drive optimal performance. Task difficulty and external affective factors are …
View article: Conversational Task Increases Heart Rate Variability on Individuals Susceptible to Perceived Social Isolation
Conversational Task Increases Heart Rate Variability on Individuals Susceptible to Perceived Social Isolation Open
Studies showed that introversion is the strongest personality trait related to perceived social isolation (loneliness), which can predict various complications beyond objective isolation such as living alone. Lonely individuals are more li…
View article: Working Memory Performance under Negative Affect is More Susceptible to Higher Cognitive Workloads with Different Neural Haemodynamic Correlates
Working Memory Performance under Negative Affect is More Susceptible to Higher Cognitive Workloads with Different Neural Haemodynamic Correlates Open
The effect of stress on task performance is complex, too much or too little negatively affects performance; and there exists an optimal level of stress to drive optimal performance. Task difficulty and external affective factors are distin…
View article: Correction to: A Standards Organization for Open and FAIR Neuroscience: the International Neuroinformatics Coordinating Facility
Correction to: A Standards Organization for Open and FAIR Neuroscience: the International Neuroinformatics Coordinating Facility Open
View article: A Standards Organization for Open and FAIR Neuroscience: the International Neuroinformatics Coordinating Facility
A Standards Organization for Open and FAIR Neuroscience: the International Neuroinformatics Coordinating Facility Open
View article: Synthesis of 3D MRI Brain Images With Shape and Texture Generative Adversarial Deep Neural Networks
Synthesis of 3D MRI Brain Images With Shape and Texture Generative Adversarial Deep Neural Networks Open
Generative Adversarial Networks (GAN) are emerging as an exciting training paradigm which promises a step improvement to the impressive feature learning capabilities of deep neural networks. Unlike supervised learning approaches, GAN learn…
View article: Valuation system connectivity is correlated with poly-drug use in young adults
Valuation system connectivity is correlated with poly-drug use in young adults Open
Poly-drug consumption contributes to fatal overdose in more than half of all poly-drug users. Analyzing decision-making networks may give insight into the motivations behind poly-drug use. We correlated average functional connectivity of t…
View article: Phenotype microarrays reveal metabolic dysregulations of neurospheres derived from embryonic Ts1Cje mouse model of Down syndrome
Phenotype microarrays reveal metabolic dysregulations of neurospheres derived from embryonic Ts1Cje mouse model of Down syndrome Open
Down syndrome (DS), is the most common cause of intellectual disability, and is characterized by defective neurogenesis during perinatal development. To identify metabolic aberrations in early neurogenesis, we profiled neurospheres derived…
View article: From online resources to collaborative global neuroscience research: where are we heading?
From online resources to collaborative global neuroscience research: where are we heading? Open
Neuroscience has emerged as a richly transdisciplinary field, poised to leverage potential synergies with information technology. To investigate the complex nervous system in its normal function and the disease state, researchers in the fi…
View article: Neurocognitive interventions based on network neuroscience may break the cycle of drug addiction relapse
Neurocognitive interventions based on network neuroscience may break the cycle of drug addiction relapse Open
In Malaysia, abstinence-centric programs failed to reduce drug use and stem the spread of HIV. The Malaysian government shifted its focus to implement harm reduction strategies with methadone maintenance therapy (MMT), in particular provin…
View article: Label-Free, High-Throughput Assay of Human Dendritic Cells from Whole-Blood Samples with Microfluidic Inertial Separation Suitable for Resource-Limited Manufacturing
Label-Free, High-Throughput Assay of Human Dendritic Cells from Whole-Blood Samples with Microfluidic Inertial Separation Suitable for Resource-Limited Manufacturing Open
Microfluidics technology has not impacted the delivery and accessibility of point-of-care health services, like diagnosing infectious disease, monitoring health or delivering interventions. Most microfluidics prototypes in academic researc…
View article: Changes in white matter fiber density and morphology across the adult lifespan: A cross‐sectional fixel‐based analysis
Changes in white matter fiber density and morphology across the adult lifespan: A cross‐sectional fixel‐based analysis Open
White matter (WM) fiber bundles change dynamically with age. These changes could be driven by alterations in axonal diameter, axonal density, and myelin content. In this study, we applied a novel fixel‐based analysis (FBA) framework to exa…
View article: Label-free, High-throughput Assay of Human Dendritic Cells from Whole-blood Samples with Microfluidic Inertial Separation Suitable for Resource-limited Manufacturing
Label-free, High-throughput Assay of Human Dendritic Cells from Whole-blood Samples with Microfluidic Inertial Separation Suitable for Resource-limited Manufacturing Open
Microfluidics technology has not impacted the delivery and accessibility of point of care health services like diagnosis of infectious disease diagnosis, monitoring health or delivering interventions. Most microfluidics prototypes from aca…
View article: Classification of Neuroticism using Psychophysiological Signals During Speaking Task based on Two Different Baseline Measurements
Classification of Neuroticism using Psychophysiological Signals During Speaking Task based on Two Different Baseline Measurements Open
Biosignals from psychophysiological changes can be measured as electroencephalography (EEG), heart rate, skin conductance, and respiration rate, to name a few. They have been used in many research areas including human personality. Neuroti…
View article: A standards organization for Open and FAIR neuroscience: the International Neuroinformatics Coordinating Facility
A standards organization for Open and FAIR neuroscience: the International Neuroinformatics Coordinating Facility Open
There is great need for coordination around standards and best practices in neuroscience to support efforts to make neuroscience a data-centric discipline. Major brain initiatives launched around the world are poised to generate huge store…
View article: INCF Standards and Best Practices Review Criteria version 2.0
INCF Standards and Best Practices Review Criteria version 2.0 Open
INCF has recently implemented a formal procedure for evaluating and endorsing community standards and best practices in support of the FAIR principles. By formally serving as a standards organization dedicated to open and FAIR neuroscience…
View article: Call for community review of NeuroML — A Model Description Language for Computational Neuroscience
Call for community review of NeuroML — A Model Description Language for Computational Neuroscience Open
The purpose of this document is to solicit community feedback on NeuroML, a model description language for computational neuroscience, which was submitted to INCF for endorsement as a standard. The document contains the INCF standards and …
View article: Call for community review of PyNN — A simulator-independent language for building neuronal network models
Call for community review of PyNN — A simulator-independent language for building neuronal network models Open
The purpose of this document is to solicit community feedback on PyNN, a simulator-independent language for building neuronal network models, which was submitted to INCF for endorsement as a standard. The document contains the INCF standar…
View article: International Neuroinformatics Coordinating Facility Review Criteria for Endorsement of Standards and Best Practices v. 1.0
International Neuroinformatics Coordinating Facility Review Criteria for Endorsement of Standards and Best Practices v. 1.0 Open
The International Neuroinformatics Coordinating Facility (INCF) is a standards organization for open and FAIR neuroscience that develops, evaluates, and endorses standards and best practices that embrace the principles of Open, FAIR, and C…