Machine learning techniques for robotic and autonomous inspection of mechanical systems and civil infrastructure
MO Macaulay, M Shafiee - Autonomous Intelligent Systems, 2022 - Springer
Abstract Machine learning and in particular deep learning techniques have demonstrated
the most efficacy in training, learning, analyzing, and modelling large complex structured …
the most efficacy in training, learning, analyzing, and modelling large complex structured …
Emotion recognition by facial expression and voice: review and analysis
Emotion is a scorching topic in the recent years due to the critical unseen stress incurred
during the pandemic and post-pandemic. This is worsening with the recent economy's …
during the pandemic and post-pandemic. This is worsening with the recent economy's …
A greedy deep learning method for medical disease analysis
This paper proposes a new deep learning method, the greedy deep weighted dictionary
learning for mobile multimedia for medical diseases analysis. Based on the traditional …
learning for mobile multimedia for medical diseases analysis. Based on the traditional …
Research on speech emotion recognition technology based on deep and shallow neural network
J Wang, Z Han - 2019 Chinese control conference (CCC), 2019 - ieeexplore.ieee.org
Speech emotion recognition has become a hot topic in the field of human-computer
interaction. In order to improve the accuracy of emotion recognition, this paper proposes a …
interaction. In order to improve the accuracy of emotion recognition, this paper proposes a …
Comparison of machine learning algorithms for the automatic programming of computer numerical control machine
The computer numerical control (CNC) machines are chiefly used for the production of jobs
with high accuracy and high speed. The CNC machining centers perform the machining …
with high accuracy and high speed. The CNC machining centers perform the machining …
Speech emotion recognition based on deep learning and kernel nonlinear PSVM
HAN Zhiyan, W Jian - 2019 Chinese control and decision …, 2019 - ieeexplore.ieee.org
For the sake of ameliorating the precision of speech emotion recognition, this paper put
forward a new emotion recognition technique based on Deep Learning and Kernel …
forward a new emotion recognition technique based on Deep Learning and Kernel …
Emotion Recognition on Facial Expression and Voice: Analysis and Discussion.
Emotion plays an important role in our daily lives. Emotional individuals can affect the
performance of a company, the harmony of a family, the wellness or growth (physical …
performance of a company, the harmony of a family, the wellness or growth (physical …
AR and VR and AI Allied technologies and depression detection and control mechanism
Due to the outbreak of COVID-19 pandemic, there exists a situation of worldwide/nationwide
lockdown across different countries which results in the growth of new-age technologies …
lockdown across different countries which results in the growth of new-age technologies …
Restricted boltzmann machine and softmax regression for acute respiratory infections disease identification
Restricted boltzmann machines (RBM) have attracted much attention lately after being
proposed as building blocks of deep learning blocks. RBM is an algorithm that belongs to …
proposed as building blocks of deep learning blocks. RBM is an algorithm that belongs to …
An intelligent approach for predicting resource usage by combining decomposition techniques with NFTS network
Time sensitive virtual machines that run real-time control tasks are constrained by hard
timing requirements. Optimal resource management and guarantee the hard timing …
timing requirements. Optimal resource management and guarantee the hard timing …