A combination of phase modulation and amplitude modulation encoder techniques was designed and tested on a 5 hp three-phased 6-4 SRM over a wide range of speed. The position detection scheme kept excellent track of the rotor angle continuously under both load and no-load conditions. This ...
Automated screening of arrhythmia using wavelet based machine learning techniques. Arrhythmia is one of the preventive cardiac problems frequently occurs all over the globe. In order to screen such disease at early stage, this work attemp... RJ Martis,MMR Krishnan,C Chakraborty,... - 《Journal ...
A set of tools for machine learning (for the current day, there are active learning utilities and implementations of some stacking-based techniques). epsilon-greedyactive-learningstackingcategorical-featuresout-of-foldtarget-encoding UpdatedAug 27, 2023 ...
A Survey on Machine-Learning Techniques in Cognitive Radios Mario BkassinyYang LiSudharman K. Jayaweera Jan 2013 In this survey paper, we characterize the learning problem in cognitive radios (CRs) and state the importance of artificial intelligence in achieving real cognitive communications systems. ...
Taxonomic encoding techniques involve constructing mappings from a given partially ordered set to another in which operations, such as comparability and greatest lower bounds, can be computed efficiently. Recent research in taxonomic encoding has identified various forms of partial orders that permit very...
These two are the widely used techniques, so we have to decide which technique to implement for each type of data:One-hot or label encoding. I hope this article helped we in learning One-hot encoding. Tags: Machine Learning Data Engineering...
We apply machine learning techniques to classify automatically a set of verbs into lexical semantic classes, based on distributional approximations of diat... S Stevenson,P Merlo - Association for Computational Linguistics 被引量: 65发表: 2000年 Teaching marked linguistic structures – more about the...
Sarailoo measured the CL of educational multimedia using machine-learning techniques15. For a systematic review, see16. The main issue with the ERP technique lies in its inability to handle complex stimuli, such as those found in educational multimedia. This type of multimedia typically involves ...
Optimizing the configuration of multi-rate encoders and the temporal contrastive loss leads to notable improvements in domestic sound event detection in the context of the DCASE challenge.Similar content being viewed by others A review of deep learning techniques in audio event recognition (AER) ...
It utilized five sequential formulation methods to extract peptide features, applied SMOTENN and SMOTETomek techniques for class balancing, and implemented a two-tier feature selection process to identify optimal features. Ten machine-learning models were trained on these features, culminating in a ...