首页|Reports Outline Machine Learning Findings from SRM Institute of Science and Tech nology (Human Activity Recognition In Cyberphysical Systems Using Optimized Mac hine Learning Techniques)
Reports Outline Machine Learning Findings from SRM Institute of Science and Tech nology (Human Activity Recognition In Cyberphysical Systems Using Optimized Mac hine Learning Techniques)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – Fresh data on Machine Learning are pre sented in a new report. According to news reporting out of Ghaziabad, India, by NewsRx editors, research stated, “Human Activity Recognition (HAR) is an active research topic as it finds use in many real-world applications such as health mo nitoring and biometric user identification. Smart wearables which form an integr al part of the Internet of Medical Things (IoMT) and Cyber-Physical Systems can provide information about human activities on a daily basis, which may be used a s soft biometrics for user identification.” Financial support for this research came from King Saud University. Our news journalists obtained a quote from the research from the SRM Institute o f Science and Technology, “Over the last few years, one of the popular problem-s olving approaches for HAR has been in the form of artificial intelligence method s. Since security is related to robustness, our primary aim is to solve the prob lem with better model capabilities. In this study, we consider machine learning algorithms like Random Forest (RF), Decision Trees (DT), K-Nearest Neighbors (k- NN)(and deep learning algorithms such as Convolutional Neural Networks (CNN), Lo ng Short Term Memory (LSTM), and Gated Recurrent Units (GRU)) for the purpose of HAR. In order to improvise the model performance, we introduce optimization tec hniques along with CNN, LSTM, and GRU. We rely on Stochastic Gradient Descent (S GD), and optimizers Adam and RMSProp, and evaluate the strength of the models us ing Accuracy and F-1 score. Moreover, the study has been carried out on three da tasets that incorporate several human activities.”
GhaziabadIndiaAsiaCybersecurityC yborgsEmerging TechnologiesMachine LearningSRM Institute of Science and Te chnology
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