Fitness, safety and data monitoring wearables have become extremely prevalent. It is no
wonder that sedentary lifestyle will lead to a variety of health and personal problems …

We propose a novel Data Quality with Security (DQS) integrated instrumentation selection
approach that facilitates aggregation of multi-modal data from heterogeneous sources. As …

This paper presents a novel approach of integrating sensor accuracy and sensor platform
security in overall sensor system evaluation and presents a new developed method and a …

The growing number of fitness trackers and dedicated smartphone applications indicate the
importance of human activity recognition tasks in everyday life. Wearable devices tend to …

In our study, we investigate Machine Learning (ML) application robustness in ML Integrated
with Network (MLIN) systems. We consider MLIN as an integration of three major …

Data quality (DQ) is an important concept that is used in the design and employment of
information, data management, decision making, and engineering systems with multiple …