Applications of machine learning in pipeline integrity management: A state-of-the-art review
A Rachman, T Zhang, RMC Ratnayake - International journal of pressure …, 2021 - Elsevier
Despite being considered the safest means to transport oil and gas, pipelines are
susceptible to degradation. Pipeline integrity management (PIM) is implemented to lower the …
susceptible to degradation. Pipeline integrity management (PIM) is implemented to lower the …
Onboard information fusion for multisatellite collaborative observation: Summary, challenges, and perspectives
G Gao, L Yao, W Li, L Zhang… - IEEE Geoscience and …, 2023 - ieeexplore.ieee.org
Onboard information fusion for multisatellites, which is based on spatial computing mode,
can improve the satellites' capability, such as the spatial–temporal coverage, detection …
can improve the satellites' capability, such as the spatial–temporal coverage, detection …
DeepCervix: A deep learning-based framework for the classification of cervical cells using hybrid deep feature fusion techniques
Cervical cancer, one of the most common fatal cancers among women, can be prevented by
regular screening to detect any precancerous lesions at early stages and treat them. Pap …
regular screening to detect any precancerous lesions at early stages and treat them. Pap …
Feature selection with multi-view data: A survey
This survey aims at providing a state-of-the-art overview of feature selection and fusion
strategies, which select and combine multi-view features effectively to accomplish …
strategies, which select and combine multi-view features effectively to accomplish …
Deep feature fusion for VHR remote sensing scene classification
The rapid development of remote sensing technology allows us to get images with high and
very high resolution (VHR). VHR imagery scene classification has become an important and …
very high resolution (VHR). VHR imagery scene classification has become an important and …
Discriminant correlation analysis: Real-time feature level fusion for multimodal biometric recognition
M Haghighat, M Abdel-Mottaleb… - IEEE Transactions on …, 2016 - ieeexplore.ieee.org
Information fusion is a key step in multimodal biometric systems. The fusion of information
can occur at different levels of a recognition system, ie, at the feature level, matching-score …
can occur at different levels of a recognition system, ie, at the feature level, matching-score …
Forecasting power demand in China with a CNN-LSTM model including multimodal information
D Wang, J Gan, J Mao, F Chen, L Yu - Energy, 2023 - Elsevier
Accurate forecasting of social power demand is the country's primary task in making
decisions on power overall planning, coal power withdrawal, and renewable energy …
decisions on power overall planning, coal power withdrawal, and renewable energy …
Brain tumor detection and classification: A framework of marker‐based watershed algorithm and multilevel priority features selection
Brain tumor identification using magnetic resonance images (MRI) is an important research
domain in the field of medical imaging. Use of computerized techniques helps the doctors for …
domain in the field of medical imaging. Use of computerized techniques helps the doctors for …
[图书][B] Handbook of multibiometrics
Reliable human authentication schemes are of paramount importance in our highly
networked society. Advances in biometrics help address the myriad of problems associated …
networked society. Advances in biometrics help address the myriad of problems associated …
An automated system for cucumber leaf diseased spot detection and classification using improved saliency method and deep features selection
In the agriculture farming business, weeds, pests, and other plant diseases are the major
reason for monetary misfortunes around the globe. It is an imperative factor, as it causes a …
reason for monetary misfortunes around the globe. It is an imperative factor, as it causes a …