Crop yield prediction integrating genotype and weather variables using deep learning
Accurate prediction of crop yield supported by scientific and domain-relevant insights, is
useful to improve agricultural breeding, provide monitoring across diverse climatic …
useful to improve agricultural breeding, provide monitoring across diverse climatic …
[HTML][HTML] 3d convolutional selective autoencoder for instability detection in combustion systems
T Gangopadhyay, V Ramanan, A Akintayo, PK Boor… - Energy and AI, 2021 - Elsevier
While analytical solutions of critical (phase) transitions in dynamical systems are abundant
for simple nonlinear systems, such analysis remains intractable for real-life dynamical …
for simple nonlinear systems, such analysis remains intractable for real-life dynamical …
[HTML][HTML] An LSTM-based approach to detect transition to lean blowout in swirl-stabilized dump combustion systems
Lean combustion is environment friendly with low NOX emissions providing better fuel
efficiency in a combustion system. However, approaching towards lean combustion can …
efficiency in a combustion system. However, approaching towards lean combustion can …
Reconstruction of cross-modal visual features from acoustic pressure time series in combustion systems
T Gangopadhyay - 2021 - search.proquest.com
In many cyber-physical systems, imaging can be an important but expensive ordifficult to
deploy'sensing modality. One such example is detecting combustion instability using flame …
deploy'sensing modality. One such example is detecting combustion instability using flame …
Trustworthy deep learning for cyber-physical systems
T Gangopadhyay - 2022 - search.proquest.com
In cyber-physical systems, along with the accuracy of decision-making, interpretability
remains one of the important aspects to build user trust and generate domain insights …
remains one of the important aspects to build user trust and generate domain insights …