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View article: Temporal single spike coding for effective transfer learning in spiking neural networks
Temporal single spike coding for effective transfer learning in spiking neural networks Open
In this work, a supervised learning rule based on Temporal Single Spike Coding for Effective Transfer Learning (TS4TL) is presented, an efficient approach for training multilayer fully connected Spiking Neural Networks (SNNs) as classifier…
View article: Data-Driven Multiscale Modelling of History-Dependent Plasticity Using Recurrent Neural Operators
Data-Driven Multiscale Modelling of History-Dependent Plasticity Using Recurrent Neural Operators Open
Multiscale modelling in materials science, which connects and translates information across multiple length scales, has become increasingly prominent for its ability to link macroscopic behaviour with underlying microscale phenomena. This …
View article: Frontal Pole, Cingulate Gyrus, and Precuneus Cortex Represent the Confidence Level in the Prediction of others' Risky Decision-Making
Frontal Pole, Cingulate Gyrus, and Precuneus Cortex Represent the Confidence Level in the Prediction of others' Risky Decision-Making Open
Purpose: Reporting confidence after a decision-making task is widely used in the studies of metacognition. A cognitive factor is usually defined as “thinking about thinking.” When people predict others’ behavior in risky situations, they c…
View article: Language Effects on GPT-based Machine Learning Classifications
Language Effects on GPT-based Machine Learning Classifications Open
View article: Identifying homogeneous hydrological zones for flood prediction using multivariable statistical methods and machine learning
Identifying homogeneous hydrological zones for flood prediction using multivariable statistical methods and machine learning Open
One method for estimating floods in areas lacking statistical data is the use of regional frequency analysis based on machine learning. In this study, statistical and clustering-based approaches were evaluated for flood estimation in the K…
View article: Performance Improvement of Processor Through Configurable Approximate Arithmetic Units in Multicore Systems
Performance Improvement of Processor Through Configurable Approximate Arithmetic Units in Multicore Systems Open
Multicore systems are utilized in a wide range of applications, from embedded systems to high-performance applications. Controlling power consumption while maximizing performance under the Thermal Design Power (TDP) becomes increasingly im…
View article: AMCAL: Approximate Multiplier With the Configurable Accuracy Levels for Image Processing and Convolutional Neural Network
AMCAL: Approximate Multiplier With the Configurable Accuracy Levels for Image Processing and Convolutional Neural Network Open
Multiplication is a necessary arithmetic operation in signal processing and machine learning algorithms. This paper proposes a novel method called Approximate Multiplier with Configurable Accuracy Levels (AMCAL) to obtain energy and area s…
View article: A Novel Approximate Hamming Weight Computing for Spiking Neural Networks: an FPGA Friendly Architecture
A Novel Approximate Hamming Weight Computing for Spiking Neural Networks: an FPGA Friendly Architecture Open
Hamming weights of sparse and long binary vectors are important modules in many scientific applications, particularly in spiking neural networks that are of our interest. To improve both area and latency of their FPGA implementations, we p…
View article: Diagnosing Students’ Ability in Distance Learning with the Winsteps
Diagnosing Students’ Ability in Distance Learning with the Winsteps Open
The main purpose of this research is to answer the following question.Is Winsteps Software easy for teachers to diagnose the ability of students and questions in distance learning to anticipate the spread of the corona virus today, especia…
View article: Proposing a Model for Performance Assessment and Appraisal in Hospitality Industry
Proposing a Model for Performance Assessment and Appraisal in Hospitality Industry Open
Performance appraisal is a complex process, and in a systemic approach includes numerous and various inputs and outputs. In this research, a comprehensive framework is proposed for performance assessment and appraisal in hospitality indust…
View article: Impact of silicon carbide device technologies on matrix converter design and performance
Impact of silicon carbide device technologies on matrix converter design and performance Open
The development of high power density power converters has become an important topic in power electronics because of increasing demand in transportation applications including marine, aviation and vehicle system. The possibility for greate…