WebThe machine learning algorithm of artificial neural networks with Levenberg-Marquardt backpropagation training techniques of different network architectures was engaged to predict the compressive strength of WA-cement-NT-based mortar produced. Web2 days ago · To deal with the problem, a lightweight backbone named DenseAttentionNet which is based on the Convolutional Block Attention Mechanism is proposed by comparing the parameter amount and the accuracy of few-shot classification with ResNet-12.
A Survey on Edge Intelligence and Lightweight Machine …
WebOct 2, 2024 · TinyML algorithms work in much the same way as traditional machine learning models. Typically, the models are trained as usual on a user’s computer or in the cloud. Post-training is where the real tinyML work begins, in a process often referred to as deep … WebMay 3, 2024 · Three lightweight machine learning algorithms comprising Decision Tree, Random Forest Regression, and Gradient Boosted Regression were used to construct the … generalkonsulat frankfurt thailand
A lightweight deep learning model for automatic …
WebThis paper proposes a lightweight Intelligent Intrusion Detection Model for WSN. Combining k-nearest neighbor algorithm (kNN) and sine cosine algorithm (SCA) can significantly … WebJan 18, 2024 · Reinforcement Learning (RL) is a powerful technology to solve decisionmaking problems such as robotics control. Modern RL … Webweight machine learning algorithms can be directly integrated into microcontroller hardware systems. This study proposed a new method that combines (i) air pollution data … generalkonsulat münchen thailand