Monitoring of human and social activities is becoming increasingly pervasive in our living
environment for public security and safety applications. The recognition of suspicious events …

In wireless sensor networks, nodes can be static or mobile, depending on the application
requirements. Dealing with mobility can pose some formidable challenges in protocol …

A significant obstacle for service robots is the execution of complex tasks in real
environments. For example, it is not easy for service robots to find objects that are partially …

In the era of automated and digitalized information, advanced computer applications deal
with a major part of the data that comprises audio-related information. Advancements in …

This paper addresses the signal processing aspect of wireless sensor networks. It analyzes
several time and frequency domain features of measurements that are taken from 3D …

In this paper we propose a novel learning framework called Supervised and Weakly
Supervised Learning where the goal is to learn simultaneously from weakly and strongly …

This paper proposes a new approach to recognize environmental sounds for audio
surveillance and security applications. The sounds are extremely versatile, including sounds …

Underwater acoustic target classification (UATC) has traditionally relied on time–frequency
(TF) analysis, with the mel-spectrogram being widely used due to its 2D image-like format …

Human activities are accompanied by characteristic sound events, the processing of which
might provide valuable information for automated human activity recognition. This paper …

We propose a data integration and reasoning technique for automatic environment
discovery in smart homes based on observations of user interactions with objects. This …