[HTML][HTML] Multitask deep learning-based pipeline for gas leakage detection via E-nose and thermal imaging multimodal fusion
O Attallah - Chemosensors, 2023 - mdpi.com
Innovative engineering solutions that are efficient, quick, and simple to use are crucial given
the rapid industrialization and technology breakthroughs in Industry 5.0. One of the areas …
the rapid industrialization and technology breakthroughs in Industry 5.0. One of the areas …
[HTML][HTML] Gas detection and identification using multimodal artificial intelligence based sensor fusion
P Narkhede, R Walambe, S Mandaokar… - Applied System …, 2021 - mdpi.com
With the rapid industrialization and technological advancements, innovative engineering
technologies which are cost effective, faster and easier to implement are essential. One such …
technologies which are cost effective, faster and easier to implement are essential. One such …
[HTML][HTML] MultimodalGasData: Multimodal dataset for gas detection and classification
P Narkhede, R Walambe, P Chandel, S Mandaokar… - Data, 2022 - mdpi.com
The detection of gas leakages is a crucial aspect to be considered in the chemical
industries, coal mines, home applications, etc. Early detection and identification of the type …
industries, coal mines, home applications, etc. Early detection and identification of the type …
[HTML][HTML] Early-stage gas identification using convolutional long short-term neural network with sensor array time series data
Gas identification/classification through pattern recognition techniques based on gas sensor
arrays often requires the equilibrium responses or the full traces of time-series data of the …
arrays often requires the equilibrium responses or the full traces of time-series data of the …
Spatial upscaling-based algorithm for detection and estimation of hazardous gases
Recently, society/industry is getting smarter and sustainable through artificial intelligence-
based solutions. However, this rapid advancement is also polluting our air ambience. Hence …
based solutions. However, this rapid advancement is also polluting our air ambience. Hence …
Optimized convolutional neural network-based multigas detection using fiber optic sensor
We developed a convolutional neural network-based high-sensitivity gas optical sensor
(CNN-HGS) using photonic crystals for detecting different gases (N2, He, and CO2). Square …
(CNN-HGS) using photonic crystals for detecting different gases (N2, He, and CO2). Square …
A multi-task learning framework for gas detection and concentration estimation
H Liu, Q Li, Y Gu - Neurocomputing, 2020 - Elsevier
Advancements in sensor devices have resulted in increased use of gas detection and
concentration estimation in various fields. An electronic nose (E-nose) is an intelligent …
concentration estimation in various fields. An electronic nose (E-nose) is an intelligent …
[HTML][HTML] Deep-learning-based gas identification by time-variant illumination of a single micro-LED-embedded gas sensor
Electronic nose (e-nose) technology for selectively identifying a target gas through
chemoresistive sensors has gained much attention for various applications, such as smart …
chemoresistive sensors has gained much attention for various applications, such as smart …
Gas leakage detection using spatial and temporal neural network model
Natural gas leakage can impose significant danger on a facility and its surrounding
communities. Methods for early detection and diagnosis of such leakages have been …
communities. Methods for early detection and diagnosis of such leakages have been …
Real-time leak detection using an infrared camera and Faster R-CNN technique
Real-time hydrocarbon leak detection is an essential part of process safety and loss
prevention program. Optical gas imaging (OGI) is one of the attractive methods to monitor …
prevention program. Optical gas imaging (OGI) is one of the attractive methods to monitor …