Context-Aware Edge-Based AI Models for Wireless Sensor Networks—An Overview
Recent advances in sensor technology are expected to lead to a greater use of wireless
sensor networks (WSNs) in industry, logistics, healthcare, etc. On the other hand, advances …
sensor networks (WSNs) in industry, logistics, healthcare, etc. On the other hand, advances …
A survival analysis based volatility and sparsity modeling network for student dropout prediction
Student Dropout Prediction (SDP) is pivotal in mitigating withdrawals in Massive Open
Online Courses. Previous studies generally modeled the SDP problem as a binary …
Online Courses. Previous studies generally modeled the SDP problem as a binary …
ADLnet: A 1d-CNN for Activity of Daily Living Recognition in Smart Homes
Human activity recognition (HAR) systems enable continuous monitoring of human
behaviours in several areas, including activity of daily living (ADL) detection in ambient …
behaviours in several areas, including activity of daily living (ADL) detection in ambient …
Human activity recognition based on improved convolutional neural network
S Yang, C Zhang, P Zhong, J Meng… - … Engineering, Big Data …, 2024 - spiedigitallibrary.org
In this paper, an human activity recognition model named Improved Time-Dependence
Convolutional Neural Network is proposed to improve the human-robot interaction …
Convolutional Neural Network is proposed to improve the human-robot interaction …