Remote sensing-based mangrove blue carbon assessment in the Asia-Pacific: A systematic review

AD Roy, PSP Arachchige, MS Watt, A Kale… - Science of the Total …, 2024 - Elsevier
Accurate measuring, map**, and monitoring of mangrove forests support the sustainable
management of mangrove blue carbon in the Asia-Pacific. Remote sensing coupled with …

Challenges of machine learning-based RUL prognosis: A review on NASA's C-MAPSS data set

S Vollert, A Theissler - 2021 26th IEEE international conference …, 2021 - ieeexplore.ieee.org
The estimation of a system's or a component's remaining useful life (RUL) is considered the
most complex task in predictive maintenance, at the same time the most beneficial one. In …

Artificial intelligence in prognostics and health management of engineering systems

S Ochella, M Shafiee, F Dinmohammadi - Engineering Applications of …, 2022 - Elsevier
Prognostics and health management (PHM) has become a crucial aspect of the
management of engineering systems and structures, where sensor hardware and decision …

A directed acyclic graph network combined with CNN and LSTM for remaining useful life prediction

J Li, X Li, D He - IEEE Access, 2019 - ieeexplore.ieee.org
Accurate and timely prediction of remaining useful life (RUL) of a machine enables the
machine to have an appropriate operation and maintenance decision. Data-driven RUL …

Ensemble machine learning models for the detection of energy theft

SK Gunturi, D Sarkar - Electric Power Systems Research, 2021 - Elsevier
Advanced metering infrastructure allows the two-way sharing of information between smart
meters and utilities. However, it makes smart grids more vulnerable to cyber-security threats …

Forecasting unconfined compressive strength of calcium sulfoaluminate cement mixtures using ensemble machine learning techniques integrated with shapely …

CB Arachchilage, G Huang, C Fan, WV Liu - Construction and Building …, 2023 - Elsevier
Calcium sulfoaluminate (CSA) cement mixture design is challenging due to the influence of
multiple features on its unconfined compressive strength (UCS). Consequently, the …

Prediction of compressive strength and tensile strain of engineered cementitious composite using machine learning

MN Uddin, N Shanmugasundaram… - International Journal of …, 2024 - Springer
This research extensively used different progressive machine learning (ML) techniques to
predict the compressive strength (CS) and tensile strain (TSt) of engineered cementitious …

A novel cap-LSTM model for remaining useful life prediction

C Zhao, X Huang, Y Li, S Li - IEEE Sensors Journal, 2021 - ieeexplore.ieee.org
In recent years, the Remaining Useful Life (RUL) prediction has become a hot spot in
Prognostics and Health Management (PHM) research. High-accuracy RUL prediction can …

Multitask learning-based self-attention encoding atrous convolutional neural network for remaining useful life prediction

H Wang, T Lin, L Cui, B Ma, Z Dong… - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
Any failure of the turbofan engine, as one of the key components of space shuttle, can lead
to serious accidents. Therefore, it is necessary to predict the remaining useful life (RUL) to …

The use of radar and optical satellite imagery combined with advanced machine learning and metaheuristic optimization techniques to detect and quantify above …

NT Ha, M Manley-Harris, TD Pham… - International Journal of …, 2021 - Taylor & Francis
Seagrass provides numerous valuable ecosystem services across a wide range of climatic
regions. However, in terms of area and habitat, this resource is in decline globally and there …