[HTML][HTML] Microscopic fringe projection profilometry: A review
Structured light three-dimensional (3D) measurement technology is considered one of the
most reliable 3D data acquisition methods. Driven by the demand for high-precision 3D data …
most reliable 3D data acquisition methods. Driven by the demand for high-precision 3D data …
Sentiment analysis: Comprehensive reviews, recent advances, and open challenges
Sentiment analysis (SA) aims to understand the attitudes and views of opinion holders with
computers. Previous studies have achieved significant breakthroughs and extensive …
computers. Previous studies have achieved significant breakthroughs and extensive …
Intelligent localization and deep human activity recognition through IoT devices
Ubiquitous computing has been a green research area that has managed to attract and
sustain the attention of researchers for some time now. As ubiquitous computing …
sustain the attention of researchers for some time now. As ubiquitous computing …
Predicting workers' inattentiveness to struck-by hazards by monitoring biosignals during a construction task: A virtual reality experiment
At construction workplaces, workers should be consistently attentive to approaching and
nearby safety hazards. However, workers tend to allocate most of their attentional resources …
nearby safety hazards. However, workers tend to allocate most of their attentional resources …
A survey on event detection approaches for sensor based IoT
Over the period, two significant advancements ie shrinking of the sensor size and improved
communication capability, lead the sensor-based internet-of-things (SBIoT) to mature …
communication capability, lead the sensor-based internet-of-things (SBIoT) to mature …
Inertial spin dynamics in epitaxial cobalt films
We investigate the spin dynamics driven by terahertz magnetic fields in epitaxial thin films of
cobalt in its three crystalline phases. The terahertz magnetic field generates a torque on the …
cobalt in its three crystalline phases. The terahertz magnetic field generates a torque on the …
An experimental analysis of deep learning architectures for supervised speech enhancement
Recent speech enhancement research has shown that deep learning techniques are very
effective in removing background noise. Many deep neural networks are being proposed …
effective in removing background noise. Many deep neural networks are being proposed …
Deep learning for biosignal control: Insights from basic to real-time methods with recommendations
Objective. Biosignal control is an interaction modality that allows users to interact with
electronic devices by decoding the biological signals emanating from the movements or …
electronic devices by decoding the biological signals emanating from the movements or …
A comparative study of time and frequency domain approaches to deep learning based speech enhancement
Deep learning has recently made a breakthrough in the speech enhancement process.
Some architectures are based on a time domain representation, while others operate in the …
Some architectures are based on a time domain representation, while others operate in the …
Msic: malware spectrogram image classification
A Azab, M Khasawneh - IEEE Access, 2020 - ieeexplore.ieee.org
The heavy reliance on digital technology, by individuals and organizations, has reshaped
the traditional economy into a digital economy. In response, cybercriminals' attention has …
the traditional economy into a digital economy. In response, cybercriminals' attention has …