Results 201 to 210 of about 47,940 (240)

Codon usage bias and molecular evolution of <i>Dnajc15</i> across avian lineages. [PDF]

open access: yesFront Genet
Zhou Z   +5 more
europepmc   +1 more source

Methods of GML-Based Representation of S-101 ENC Vector Data

International Conference on IT Convergence and Security, 2015
Daewon Park
exaly   +2 more sources

EnC-SVMWEL: Ensemble Approach using CNN and SVM Weighted Average Ensemble Learning for Sugarcane Leaf Disease Detection

2023 International Conference on Sustainable Computing and Data Communication Systems (ICSCDS), 2023
Plant diseases have always been a challenge for crop yield and plant growth, which can have detrimental consequences on food availability worldwide. For the identification of disease in plants Sugarcane, a major commercial crop, has a high net production
Uvarani Vignesh, B. Chokkalingam
semanticscholar   +1 more source

GC-EnC: A Copula based ensemble of CNNs for malignancy identification in breast histopathology and cytology images

Comput. Biol. Medicine, 2022
In the present work, we have explored the potential of Copula-based ensemble of CNNs(Convolutional Neural Networks) over individual classifiers for malignancy identification in histopathology and cytology images.
Soumyajyoti Dey   +5 more
semanticscholar   +1 more source

Foreground-attention in neural decoding: Guiding Loop-Enc-Dec to reconstruct visual stimulus images from fMRI

IEEE International Joint Conference on Neural Network, 2022
The reconstruction of visual stimulus images from functional Magnetic Resonance Imaging (fMRI) has received extensive attention in recent years, which provides a possibility to interpret the human brain.
Kai Chen   +3 more
semanticscholar   +1 more source

ENC#YPTED: An Educational Game for Programming in the Unity Engine

CHI Extended Abstracts, 2021
In an era of digitalization, the relevance of programming in real-time development environments is constantly increasing. This also applies to the Unity Engine.
Vincent Schiller
semanticscholar   +1 more source

iAFPs-EnC-GA: Identifying antifungal peptides using sequential and evolutionary descriptors based multi-information fusion and ensemble learning approach

Chemometrics and Intelligent Laboratory Systems, 2022
Ashfaq Ahmad   +4 more
semanticscholar   +1 more source

iAtbP-Hyb-EnC: Prediction of antitubercular peptides via heterogeneous feature representation and genetic algorithm based ensemble learning model

Comput. Biol. Medicine, 2021
S. Akbar   +5 more
semanticscholar   +1 more source

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