Now showing items 1-10 of 26
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 ...
Intent Understanding Using an Activation Spreading Architecture
In this paper, we propose a new approach for recognizing intentions of humans by observing their activities with a color plus depth (RGB-D) camera. Activities and goals are modeled as a distributed network of inter-connected ...
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 ...
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 ...
A novel approach for data integration and disease subtyping
Advances in high-throughput technologies allow for measurements of many types of omics data, yet the meaningful integration of several different data types remains a significant challenge. Another important and difficult ...
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. ...
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
Cognitive Radio Enabled Wireless Sensor Networks and Survivability Challenges
The rapid growth in computation, smart networking, spectrum agile devices, and hardware miniaturization technologies has led to a major revolution in the wireless sensor networking landscape in recent times. In particular, ...
A Novel Cpu/Gpu Simulation Environment for Large-Scale Biologically Realistic Neural Modeling
Computational Neuroscience is an emerging field that provides unique opportunities to study complex brain structures through realistic neural simulations. However, as biological details are added to models, the execution ...
Atypical Asymmetry for Processing Human and Robot Faces in Autism Revealed by fNIRS
Deficits in the visual processing of faces in autism spectrum disorder (ASD) individuals may be due to atypical brain organization and function. Studies assessing asymmetric brain function in ASD individuals have suggested ...