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Reliable Security Algorithm for Drones Using Individual Characteristics From an EEG Signal
Unmanned aerial vehicles (UAVs) have been applied for both civilian and military applications
Extended rapidly exploring random tree-based dynamic path planning and replanning for mobile robots
It is necessary for a mobile robot or even a multi-robot team to be able to efficiently plan a path from its starting or current location to a desired goal location. This is a trivial task when the environment is static. ...
Sample Selected Extreme Learning Machine Based Intrusion Detection in Fog Computing and MEC
Fog computing, as a new paradigm, has many characteristics that are different from cloud computing. Due to the resources being limited, fog nodes/MEC hosts are vulnerable to cyberattacks. Lightweight intrusion detection ...
Software Tools to Facilitate Systematic Review Used for Cancer Hazard Identification
Objective and systematic methods to search, review, and synthesize published studies are a fundamental aspect of carcinogen hazard classification. Systematic review is a historical strength of the International Agency for ...
Recent Developments in Deep Learning for Engineering Applications
The aim of this Special Issue is to present new academic research advances and industrial developments of machine learning with emphasis on deep learning for engineering applications. We received twenty-four (24) submissions ...
VETO: An Immersive Virtual Environment for Tele-Operation
This work investigates an over-arching question: how can an immersive virtual environment be connected with its intelligent physical counterpart to allow for a more efficient man-machine collaboration. To this end, an ...
Emotion Recognition Using Smart Watch Sensor Data: Mixed-Design Study
Research in psychology has shown that the way a person walks reflects that person's current mood (or emotional state). Recent studies have used mobile phones to detect emotional states from movement data. Objective: The ...