Using isotopic envelopes and neural decision tree-based in silico fractionation for biomolecule classification.
Sign Up to like & getrecommendations! Published in 2020 at "Analytica chimica acta"
DOI: 10.1016/j.aca.2020.02.036
Abstract: Untargeted mass spectrometry (MS) workflows are more suitable than targeted workflows for high throughput characterization of complex biological samples. However, analysis workflows for untargeted methods are inadequate for characterization of complex samples that contain multiple… read more here.
Keywords: silico fractionation; classification; neural decision; decision tree ... See more keywords
Importance of implementing smart renewable energy system using heuristic neural decision support system
Sign Up to like & getrecommendations! Published in 2021 at "Sustainable Energy Technologies and Assessments"
DOI: 10.1016/j.seta.2021.101185
Abstract: Abstract Renewable energy sources are economically competitive choices for indigenous environmental solutions to produce conventional power, which offers high wind and solar resources to optimize resource management. Further, this resolution improves power storage and standby… read more here.
Keywords: system; decision support; neural decision; support system ... See more keywords
Non-Stationary Representation for Continuity Aware Head Pose Estimation Via Deep Neural Decision Trees
Sign Up to like & getrecommendations! Published in 2019 at "IEEE Access"
DOI: 10.1109/access.2019.2959584
Abstract: The problem of image-based head pose estimation attracts intensive attention due to a large number of applications such as face analysis and attention modeling. Existing methods often convert head pose estimation into the pose classification… read more here.
Keywords: head pose; head; pose estimation; neural decision ... See more keywords
Gradient Boosted Neural Decision Forest
Sign Up to like & getrecommendations! Published in 2023 at "IEEE Transactions on Services Computing"
DOI: 10.1109/tsc.2021.3133673
Abstract: Tree-based models and deep neural networks are two schools of effective classification methods in machine learning. While tree-based models are robust irrespective of data domain, deep neural networks have advantages in handling high-dimensional data. Adding… read more here.
Keywords: decision forest; neural decision; gradient; gradient boost ... See more keywords