Wireless sensor networks (WSNs) monitor dynamic environments that change rapidly over
time. This dynamic behavior is either caused by external factors or initiated by the system …

In the field of wireless sensor networks, those measurements that significantly deviate from
the normal pattern of sensed data are considered as outliers. The potential sources of …

Automatically describing an image with a sentence is a long-standing challenge in computer
vision and natural language processing. Due to recent progress in object detection, attribute …

In the IoT and WSN era, large number of connected objects and sensing devices are
dedicated to collect, transfer, and generate a huge amount of data for a wide variety of fields …

The Internet of Things (IoT) is a fact today where a high number of nodes are used for
various applications. From small home networks to large-scale networks, the aim is the …

Wireless sensor networks (WSNs) use small nodes with constrained capabilities to sense,
collect, and disseminate information in many types of applications. As sensor networks …

Wireless sensor networks produce a large amount of data that needs to be processed,
delivered, and assessed according to the application objectives. The way these data are …

Part-based models have demonstrated their merit in object detection. However, there is a
key issue to be solved on how to integrate the inaccurate scores of part detectors when there …

Global synchronization is important for many sensor network applications that require
precise mapping of collected sensor data with the time of the events, for example, in tracking …

This tutorial presents a detailed study of sensor faults that occur in deployed sensor
networks and a systematic approach to model these faults. We begin by reviewing the fault …