Historical maps classification has become an important application in today's scenario of
everchanging land boundaries. Historical map changes include the change in boundaries of …

With the rapid advancement of video and image processing technologies in the Internet of
Things, it is urgent to address the issues in real-time performance, clarity, and reliability of …

Human action recognition in videos is a tough task due to the complex background,
geometrical transformation and an enormous volume of data. Hence, to address these …

Video-based facial expression recognition is a long-standing problem owing to a gap
between visual features and emotions, difficulties in tracking the subtle movement of …

This paper presents the detailed comparison of various image processing techniques for
analyzing satellite images. The satellite images are large in size, acquired from long …

In recent years, with the increasing number of Earth observation satellites and the
popularization and application of various sensors, remote sensing data have shown a rapid …

Recently, WiFi-based gesture recognition has attracted increasing attention. Due to the
sensitivity of WiFi signals to environments, an activity recognition model trained at a specific …

This paper presents a correction methodology for Long Short Term Memory (LSTM) based
speech recognition. A strategy that validates with a reference database was developed for …

Semantic Textual Similarity (STS) is an important task in the area of Natural Language
Processing (NLP) that measures the similarity of the underlying semantics of two texts …

Making machines to anticipate human action is a complex research problem. Some of the
recent research studies on computer vision and assistive driving have reported that the …