Electricity theft is a global problem that negatively affects both utility companies and
electricity users. It destabilizes the economic development of utility companies, causes …

The quality of human silhouettes has a direct effect on gait recognition performance. This
paper proposes a robust dynamic gait representation scheme, frame difference energy …

Information fusion offers a promising solution to the development of a high-performance
classification system. In this paper, the problem of multiple gait features fusion is explored …

In this paper, we proposed an improved two-level dynamic Bayesian network layered time
series model (LTSM), which aims to solve the limitations hindering the application of …

Conducting thorough research, analysis, and detection of cyber-threatening malware with
the right parameters is crucial for safeguarding a country's security and economy …

For language-capable interactive robots to be effectively introduced into human society, they
must be able to naturally and efficiently communicate about the objects, locations, and …

Evaluating the performance of a continuous activity recognition system can be a challenging
problem. To-date there is no widely accepted standard for dealing with this, and in general …

Fingerprint segmentation is one of the most important preprocessing steps in an automatic
fingerprint identification system (AFIS). Accurate segmentation of a fingerprint will greatly …

Particle filtering provides a well-developed and widely adopted approach to visual tracking.
For effective tracking in real-world environments the particle set must sample widely enough …

This research investigates the development and testing of the Human-Biometric Sensor
Interaction Evaluation Method that used ergonomics, usability, and image quality criteria as …