Deep learning with LPC and wavelet algorithms for driving fault diagnosis
Vehicle fault detection and diagnosis (VFDD) along with predictive maintenance (PdM) are
indispensable for early diagnosis in order to prevent severe accidents due to mechanical …
indispensable for early diagnosis in order to prevent severe accidents due to mechanical …
Emotional stress recognition using electroencephalogram signals based on a three-dimensional convolutional gated self-attention deep neural network
The brain is more sensitive to stress than other organs and can develop many diseases
under excessive stress. In this study, we developed a method to improve the accuracy of …
under excessive stress. In this study, we developed a method to improve the accuracy of …
RBF neural network based on FT-windows for auto-tunning PID controller
The weighted function windows are used in many areas as signal analysis and application
systems. In addition, the weighted functions are broad uses in filter design where different …
systems. In addition, the weighted functions are broad uses in filter design where different …
Forecasting causes of death in northern Iraq using neural network
SO Salih, A Bezenchek, S Moramarco… - Journal of Statistical …, 2022 - Springer
The availability of models for predicting future events is essential for enhancing the
efficiency of systems. This paper attempts to predict demographic variation by employing …
efficiency of systems. This paper attempts to predict demographic variation by employing …
Sentence level Amharic word sense disambiguation
SM Dereje, TY Tesfa, WT Yitbarek - American Journal of …, 2022 - journals.e-palli.com
Lexical ambiguity, phonological ambiguity, structural ambiguity, referential ambiguity,
semantic ambiguity, and orthographic ambiguity were all types of Amharic ambiguity. The …
semantic ambiguity, and orthographic ambiguity were all types of Amharic ambiguity. The …
An overview of power supply technologies for Unmanned Aerial Vehicles (UAVs) and machine vision applications
A Pekias, GS Maraslidis, MG Tsipouras… - 2022 7th South-East …, 2022 - ieeexplore.ieee.org
Unmanned air vehicles belong to the field of aeronautics and automation. The rapid
development of technology in the engineering and automation field, helped to take UAVs to …
development of technology in the engineering and automation field, helped to take UAVs to …
SSA-SL Transformer for Bearing Fault Diagnosis under Noisy Factory Environments
S Lee, J Jeong - Electronics, 2022 - mdpi.com
Among the smart factory studies, we describe defect detection research conducted on
bearings, which are elements of mechanical facilities. Bearing research has been …
bearings, which are elements of mechanical facilities. Bearing research has been …
[HTML][HTML] Electroencephalogram-based emotional stress recognition according to audiovisual stimulation using spatial frequency convolutional gated transformer
In this paper, we propose a method for combining convolutional neural networks and
attention mechanism to improve the recognition performance of emotional stress from …
attention mechanism to improve the recognition performance of emotional stress from …
A critical evaluation of activation functions for autoencoder neural networks
VS Tomar - 2022 - norma.ncirl.ie
A fundamental component of a neural network layer is the activation function. A lot of study
has been done on such functions, so the neural network developer has many options. The …
has been done on such functions, so the neural network developer has many options. The …
Amharic Question Generation from Amharic legal Text Documents by Using Deep Learning Approach
ST FIKIR - 2022 - ir.bdu.edu.et
Questioning is the main tool to grasp knowledge in our day-to-day activities. But the manual
construction of questions is time-consuming, expensive, and needs experts in the area. So …
construction of questions is time-consuming, expensive, and needs experts in the area. So …