Autonomous underwater vehicles (AUVs) have been widely used in ocean missions. When
they fail in the ocean, it is important to predict their trajectory. Existing methods rely heavily …

Background: Human physical activity recognition is challenging in various research eras,
such as healthcare, surveillance, senior monitoring, athletics, and rehabilitation. The use of …

With the growing popularity of fitness, the demand for real-time action recognition and
feedback is increasing. Current research faces challenges in handling complex actions, real …

This research work aims to propose an ensemble model of different pre-trained CNN
networks combined with LSTM to detect a set of routine human activities practiced by the …

Gait recognition based on multiple wearable sensors has received widespread attention in
recent years. Collecting data from various types of multimodal sensors allows for a more …

Mangos are a significant fruit crop that is widely cultivated in tropical and subtropical
regions. However, manual detection of mango crop maturity is time‐consuming and labor …

Artificial intelligence (AI) technology has become integral in the realm of medicine and
healthcare, particularly in human activity recognition (HAR) applications such as fitness and …

The Internet of Things (IoT) framework has transformed sensor data utilization, ushering in a
new era of sensors integrated into various aspects of modern environment. A pressing …

This paper aims to discuss the implementation of data analysis and information
management for elderly nursing care from a data-driven perspective. It addresses the …

Human Activity Recognition (HAR) has attracted considerable attention from researchers
due to its broad implications in healthcare, smart environments, and entertainment. HAR …