Signal processing is a fundamental component of almost any sensor-enabled system, with a
wide range of applications across different scientific disciplines. Time series data, images …

The applications of Sensing Technology include gas sensing, medical diagnostics, industrial
manufacturing, defense, national security, prevention of natural disaster and terrorism. The …

Information is the resolution of uncertainty and manifests itself as patterns. Although
complex, most observable phenomena are not random and instead are associated with …

Temporal and spatiotemporal data are commonly encountered in a variety of areas of
applications. We are faced with data coming from numerous sensors, data feeds, recordings …

Recent advancements and major breakthroughs in machine learning (ML) technologies in
the past decade have made it possible to collect, analyze, and interpret an unprecedented …

For several years, Data Science and Artificial Intelligence have become the driving force of
many businesses and are an integral part of our daily lives. Small and crucial decisions or …

Advances in Intelligent Signal Processing and Data Mining Page 2 Studies in Computational
Intelligence 410 Editor-in-Chief Prof. Janusz Kacprzyk Systems Research Institute Polish …

The recent explosive growth in the number of smart technologies relying on data collected
from sensors and processed with machine learning classifiers made the training data …

This special issue titled “New Developments and Applications in Sensing Technology” in the
book series of “Lecture Notes in Electrical Engineering” contains invited papers from …

Research interests spanning numerous domains increasingly rely upon computational
systems which can store and process a large volume of variable data that is stored at high …