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 …
A hybrid deep convolutional neural network-based electronic nose for pollution detection purposes
R Faleh, A Kachouri - Chemometrics and Intelligent Laboratory Systems, 2023 - Elsevier
in the electronic nose fields, many types of research have been focused on deep learning for
gas classification. Compared to traditional machine learning algorithms such as K-Nearest …
gas classification. Compared to traditional machine learning algorithms such as K-Nearest …
[HTML][HTML] Gas Detection and Classification Using Multimodal Data Based on Federated Learning
The identification of gas leakages is a significant factor to be taken into consideration in
various industries such as coal mines, chemical industries, etc., as well as in residential …
various industries such as coal mines, chemical industries, etc., as well as in residential …
Intelligent aircraft hangar fire detection and location system based on wireless sensor network
A Abdullahi, MU Bonet, UO Chiedu… - … on smart cities, 2023 - publications.eai.eu
Aircraft hangar fire detection systems are essential for protecting both the facility's assets
and the contents of an aircraft. In terms of predicting a fire outbreak at an aircraft hangar, the …
and the contents of an aircraft. In terms of predicting a fire outbreak at an aircraft hangar, the …
Assessing Gas Leakage Detection Performance Using Machine Learning with Different Modalities
Artificial intelligence technologies are reviving the entire proactive repair system for leakage
issues in industries with a real-time strategy for the current era of industry 4.0. In the present …
issues in industries with a real-time strategy for the current era of industry 4.0. In the present …
[HTML][HTML] Utilizing machine learning for the assessment of mosquito repellent effectiveness and decision support in product selection
The significance of effective insect repellents is underscored by the substantial threat posed
by mosquito-borne diseases to global health. Machine learning (ML) algorithms have …
by mosquito-borne diseases to global health. Machine learning (ML) algorithms have …
Identification of Gas Type Using Thermal Camera and Convolutional Neural Network
Gas content measurements are frequently employed to detect hazardous levels of air
contamination that pose health risks. Additionally, leak detection at fuel oil filling stations and …
contamination that pose health risks. Additionally, leak detection at fuel oil filling stations and …
SPIRo: An AI Based Origami Inspired Soft Robot with Multidimensional Locomotion and Multimodal Data Analysis for Infrastructure Assessments
Current methods of pipe infrastructure assessment are heavily dependent on humans,
making them dangerous, expensive, inefficient, and often missed early leak detection. With …
making them dangerous, expensive, inefficient, and often missed early leak detection. With …
Development of A Multimodal Deep Feature Fusion with Ensemble Learning Architecture for Real-Time Gas Leak Detection
Gas leak detection is extremely critical, but poses many significant challenges due to the
high cost and large amount of human labor and expertise necessary to complete an …
high cost and large amount of human labor and expertise necessary to complete an …
Optimized Deep Learning for Gas Sensor
MM Mahmoud, AA Ibrahim, AS Desuky… - … Journal of Theoretical …, 2024 - ijtar.journals.ekb.eg
Gas sensors are widely used to detect the presence of hazardous gases in our daily lives,
and their accuracy is crucial for ensuring the safety of individuals and environments. Gas …
and their accuracy is crucial for ensuring the safety of individuals and environments. Gas …