A novel acoustic emission detection module for leakage recognition in a gas pipeline valve
Z Li, H Zhang, D Tan, X Chen, H Lei - Process Safety and Environmental …, 2017 - Elsevier
Internal valve leakage in a natural gas pipeline seriously impairs the safe operation on
pipelines, and the recognition of leakages has therefore been a major concern of the …
pipelines, and the recognition of leakages has therefore been a major concern of the …
Comparison of machine learning algorithms for classification problems
B Sekeroglu, SS Hasan, SM Abdullah - Advances in Computer Vision …, 2020 - Springer
Abstract Machine learning algorithms become wide tools that are used for classification and
clustering of data. Several algorithms were proposed and implemented for different …
clustering of data. Several algorithms were proposed and implemented for different …
A proposed quality model for the Internet of Things systems
M Abdallah, T Jaber, N Alabwaini… - 2019 IEEE Jordan …, 2019 - ieeexplore.ieee.org
The Internet of things systems (IoT) has a significant impact on different aspects of our lives.
For that reason, IoT systems should be in high quality and clean of defects. The quality …
For that reason, IoT systems should be in high quality and clean of defects. The quality …
Methodology for Transient Stability Enhancement of Power Systems Based on Machine Learning Algorithms and Fast Valving in a Steam Turbine
This study presents the results of the development and testing of a methodology for selecting
parameters of the characteristics of fast valving in a steam turbine for emergency power …
parameters of the characteristics of fast valving in a steam turbine for emergency power …
No‐reference video quality assessment method based on spatio‐temporal features using the ELM algorithm
This work presents an application of the extreme learning machine (ELM) algorithm based
on a single‐hidden layer feedforward neural network for no‐reference video quality …
on a single‐hidden layer feedforward neural network for no‐reference video quality …
[PDF][PDF] Software QualityAssurance in Internet of Things
Q Mateen, M Sirshar - Int. J. Comput. Appl, 2015 - academia.edu
ABSTRACT Internet of Things (IoT) is increasing the connectedness of things and people on
a scale that was not imaginable before. The pace of adoption of IoT in market is increasing …
a scale that was not imaginable before. The pace of adoption of IoT in market is increasing …
Nonintrusive method based on neural networks for video quality of experience assessment
DJL Botia Valderrama… - Advances in …, 2016 - Wiley Online Library
The measurement and evaluation of the QoE (Quality of Experience) have become one of
the main focuses in the telecommunications to provide services with the expected quality for …
the main focuses in the telecommunications to provide services with the expected quality for …
Video artifacts assessment for live mobile streaming applications
Live mobile streaming applications will be among the most important applications in future
wireless multimedia systems. Hence, a Quality of Experience (QoE) assessment control …
wireless multimedia systems. Hence, a Quality of Experience (QoE) assessment control …
[PDF][PDF] Deep learning for image enhancement and visibility improvement
Y Jones - Eps. Hw. Ac. Uk, 2018 - eps.hw.ac.uk
Deep Learning for Image EnhanceMent and Visibility Improvement Page 1 DEEP
LEARNING FOR IMAGE ENHANCEMENT AND VISIBILITY IMPROVEMENT Yola Jones …
LEARNING FOR IMAGE ENHANCEMENT AND VISIBILITY IMPROVEMENT Yola Jones …
Image quality assessment using two-dimensional complex mel-cepstrum
Assessment of visual quality plays a crucial role in modeling, implementation, and
optimization of image-and video-processing applications. The image quality assessment …
optimization of image-and video-processing applications. The image quality assessment …