Multi-Objective Multi-Camera Tracking (MOMCT) is aimed at locating and identifying
multiple objects from video captured by multiple cameras. With the advancement of …

This article provides a review of the approaches to the construction of prediction intervals. To
increase the reliability of prediction, point prediction methods are replaced by intervals for …

The integration of solar energy with a power system brings great economic and
environmental benefits. However, the high penetration of solar power is challenging due to …

Since the advent of visual sensors, smart cities have generated massive surveillance video
data, which can be intelligently inspected to detect anomalies. Computer vision-based …

Nowadays, residential households, including both consumers and emerging prosumers,
have exhibited a growing demand for active/reactive power. This demand surge arises from …

The energy consumption resulting from the construction sector is increasing rapidly.
Different building types have different energy consumption schemes, especially during their …

A regional grid cluster proposal is required to tackle power grid complexities and evaluate
the impact of decentralized renewable energy generation. However, implementing regional …

Energy prediction in buildings plays a crucial role in effective energy management. Precise
predictions are essential for achieving optimal energy consumption and distribution within …

Enhancers are sequences with short motifs that exhibit high positional variability and free
scattering properties. Identification of these noncoding DNA fragments and their strength are …

This research focuses its efforts on the prediction of medium-term electricity consumption for
scenarios of highly variable electricity demand. Numerous approaches are used to predict …