A survey of machine learning and meta-heuristics approaches for sensor-based human activity recognition systems
Abstract Human Activity Recognition (HAR) is an important research area that has profound
applications in healthcare, security and surveillance. Starting from traditional machine …
applications in healthcare, security and surveillance. Starting from traditional machine …
The applications of nature‐inspired algorithms in Internet of Things‐based healthcare service: A systematic literature review
Nature‐inspired algorithms revolve around the intersection of nature‐inspired algorithms
and the IoT within the healthcare domain. This domain addresses the emerging trends and …
and the IoT within the healthcare domain. This domain addresses the emerging trends and …
A novel autoencoder based feature independent GA optimised XGBoost classifier for IoMT malware detection
Abstract The Internet of Medical Things (IoMT) has a network of interconnected medical
devices to capture patients' health metrics and store them in a centralized server for analysis …
devices to capture patients' health metrics and store them in a centralized server for analysis …
A novel WGF-LN based edge driven intelligence for wearable devices in human activity recognition
Human activity recognition (HAR) is one of the key applications of health monitoring that
requires continuous use of wearable devices to track daily activities. The most efficient …
requires continuous use of wearable devices to track daily activities. The most efficient …
Intelligent system for human activity recognition in IoT environment
In recent years, the adoption of machine learning has grown steadily in different fields
affecting the day-to-day decisions of individuals. This paper presents an intelligent system …
affecting the day-to-day decisions of individuals. This paper presents an intelligent system …
Embedded system architecture-computer embedded software defect prediction based on genetic optimisation algorithms
A Wang - International Journal of Information Technology …, 2023 - inderscienceonline.com
With the rapid development of electronic measurement technology, people have put forward
higher requirements for the diversity of oscilloscope functions and abundant peripheral …
higher requirements for the diversity of oscilloscope functions and abundant peripheral …
Internet of Things-driven Human Activity Recognition of elderly and disabled people using Arithmetic Optimization Algorithm with LSTM autoencoder
In recent times, mobile communications and Internet of Things (IoT) techniques have been
technologically advanced to gather environmental and human data for many applications …
technologically advanced to gather environmental and human data for many applications …
[PDF][PDF] Arduino MKR Analysis Using the RTC Alarm Method
The researcher analyzed the Real-Time Clock (RTC) alarm readings on the Arduino MKR
Zero, Arduino MKR Wan 1300, and Arduino MKR GSM 1400. The Arduino MKR board …
Zero, Arduino MKR Wan 1300, and Arduino MKR GSM 1400. The Arduino MKR board …
Application of Deep Learning Algorithm in Visual Optimization of Industrial Design
C Zhang - Scalable Computing: Practice and Experience, 2024 - scpe.org
In order to understand the application of degree learning algorithms in industrial design
visual optimization, the author proposes an application research based on deep learning …
visual optimization, the author proposes an application research based on deep learning …
Enhancing Deep Learning Optimizers for Detecting Malware Using Line Search Method under Strong Wolfe Conditions
MA Saleh - 2023 3rd International Conference on Computing …, 2023 - ieeexplore.ieee.org
Optimizers play a crucial role in deep learning neural networks (DL-NNs). An optimizer is an
algorithm that adjusts the parameters of deep learning neural networks (DL-NNs) to improve …
algorithm that adjusts the parameters of deep learning neural networks (DL-NNs) to improve …