K. Krishnamurthy
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View article: Few-shot transfer learning for individualized braking intent detection on neuromorphic hardware
Few-shot transfer learning for individualized braking intent detection on neuromorphic hardware Open
Objective. This work explores use of a few-shot transfer learning method to train and implement a convolutional spiking neural network (CSNN) on a BrainChip Akida AKD1000 neuromorphic system-on-chip for developing individual-level, instead…
View article: Few-Shot Transfer Learning for Individualized Braking Intent Detection on Neuromorphic Hardware
Few-Shot Transfer Learning for Individualized Braking Intent Detection on Neuromorphic Hardware Open
Objective: This work explores use of a few-shot transfer learning method to train and implement a convolutional spiking neural network (CSNN) on a BrainChip Akida AKD1000 neuromorphic system-on-chip for developing individual-level, instead…
View article: Analysis of area saving and efficiency enhancement of photovoltaic system combined with thermoelectric generator
Analysis of area saving and efficiency enhancement of photovoltaic system combined with thermoelectric generator Open
The use of solar photovoltaic systems for home, industrial, and electric vehicles has grown dramatically in recent years. It generates energy from a natural source known as sunlight, and the use of irradiation to the solar panel generates …
View article: Convolutional spiking neural networks for intent detection based on anticipatory brain potentials using electroencephalogram
Convolutional spiking neural networks for intent detection based on anticipatory brain potentials using electroencephalogram Open
Spiking neural networks (SNNs) are receiving increased attention because they mimic synaptic connections in biological systems and produce spike trains, which can be approximated by binary values for computational efficiency. Recently, the…
View article: Review of: "Prediction and Analysis of Structural Brain Health Indicators Using Deep Learning Models with Functional Brain Images as Input"
Review of: "Prediction and Analysis of Structural Brain Health Indicators Using Deep Learning Models with Functional Brain Images as Input" Open
Potential competing interests: No potential competing
View article: Convolutional Spiking Neural Networks for Detecting Anticipatory Brain Potentials Using Electroencephalogram
Convolutional Spiking Neural Networks for Detecting Anticipatory Brain Potentials Using Electroencephalogram Open
Spiking neural networks (SNNs) are receiving increased attention because they mimic synaptic connections in biological systems and produce spike trains, which can be approximated by binary values for computational efficiency. Recently, the…
View article: Multimodal Ensemble Deep Learning to Predict Disruptive Behavior Disorders in Children
Multimodal Ensemble Deep Learning to Predict Disruptive Behavior Disorders in Children Open
Oppositional defiant disorder and conduct disorder, collectively referred to as disruptive behavior disorders (DBDs), are prevalent psychiatric disorders in children. Early diagnosis of DBDs is crucial because they can increase the risks o…
View article: Online-Learning Deep Neuro-Adaptive Dynamic Inversion Controller for Model Free Control
Online-Learning Deep Neuro-Adaptive Dynamic Inversion Controller for Model Free Control Open
Adaptive methods are popular within the control literature due to the flexibility and forgiveness they offer in the area of modelling. Neural network adaptive control is favorable specifically for the powerful nature of the machine learnin…
View article: Recent Advances in Internet of Things (IoT) Infrastructures for Building Energy Systems: A Review
Recent Advances in Internet of Things (IoT) Infrastructures for Building Energy Systems: A Review Open
This paper summarises a literature review on the applications of Internet of Things (IoT) with the aim of enhancing building energy use and reducing greenhouse gas emissions (GHGs). A detailed assessment of contemporary practical reviews a…
View article: Visioning Transition: A Framework For Collaborative Change
Visioning Transition: A Framework For Collaborative Change Open
NOTE: The first page of text has been automatically extracted and included below in lieu of an abstract Session 2793 Visioning Transition: A Framework for Collaborative Change Degang Chen, K. Krishnamurthy, Reza Langari, Luigi Martinelli, …
View article: A Study of Brain Neuronal and Functional Complexities Estimated Using Multiscale Entropy in Healthy Young Adults
A Study of Brain Neuronal and Functional Complexities Estimated Using Multiscale Entropy in Healthy Young Adults Open
Brain complexity estimated using sample entropy and multiscale entropy (MSE) has recently gained much attention to compare brain function between diseased or neurologically impaired groups and healthy control groups. Using resting-state fu…
View article: Removal of NO<sub>X</sub> from diesel engine exhaust by using different chemical absorbent in a lab-scale packed column system
Removal of NO<sub>X</sub> from diesel engine exhaust by using different chemical absorbent in a lab-scale packed column system Open
Emissions of NO X from automobile causes various environmental impacts. In order to satisfy the emission norms and standards, it is necessary to reduce the toxic gases from emission. This paper concentrates on designing a packed column and…
View article: Digital hydraulic single-link trajectory tracking control through flow-based control
Digital hydraulic single-link trajectory tracking control through flow-based control Open
Recent advancement in controllability of digital hydraulic is similar to the performance of a proportional/servo hydraulic system, and several studies show that digital hydraulic will be an alternative for proportional/servo hydraulic. In …
View article: A Comparison of Static and Dynamic Functional Connectivities for Identifying Subjects and Biological Sex Using Intrinsic Individual Brain Connectivity
A Comparison of Static and Dynamic Functional Connectivities for Identifying Subjects and Biological Sex Using Intrinsic Individual Brain Connectivity Open
View article: Dry Sliding Wear Behavior of Aluminum 6063 Composites Reinforced with TiB&lt;sub&gt;2&lt;/sub&gt; Particles
Dry Sliding Wear Behavior of Aluminum 6063 Composites Reinforced with TiB<sub>2</sub> Particles Open
The influence of titanium diboride (TiB2) loading on the dry sliding wear characteristics of aluminum 6063 matrix alloy-titanium diboride (Al/TiB2) composite materials has been assessed using a pin-on disc wear tester at different loads. T…
View article: A Study on Sales Techiniques and Various Types at the Work Place with Special Reference to Selected Company
A Study on Sales Techiniques and Various Types at the Work Place with Special Reference to Selected Company Open
The central idea behind marketing is the idea that a firm or other entity will create something of value to one or more customers who, in turn, are willing to pay enough (or contribute other forms of value) to make the venture worthwhile c…
View article: A Study on Consumer Satisfaction with Special Reference to Selected Company
A Study on Consumer Satisfaction with Special Reference to Selected Company Open
Marketing is the process of determining consumer demand for a product or service, motivating sales and distributing it to ultimate consumer at a profit. It is a societal process that is needed to discern consumer’s wants, focusing on a pro…
View article: Dual Reinforcement Effect of Nanoclay and Jute Fiber on the Mechanical Properties of Polyester Resin
Dual Reinforcement Effect of Nanoclay and Jute Fiber on the Mechanical Properties of Polyester Resin Open
The research work aims in analysing the effect of minimal loading of nanoclay in altering the mechanical properties of jute fiber reinforced polyester (JFRP) composites. Nanoclay content of 0.5 Wt.% has been constantly maintained for polye…