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Cryo‐EM analysis reveals an asymmetric MMOH–MMOB complex with distinct protomers, where MMOB binding triggers structural rearrangements from the surface to the active site. This conformational asymmetry shortens the Fe···Fe distance to 2.7 Å in one protomer, forming a geometry suitable for O2 activation and supporting a sequential catalytic mechanism ...
Yunha Hwang +9 more
wiley +1 more source
A novel adaptive transformer based quantum intrusion detection system for software defined networks. [PDF]
Nalayini CM +3 more
europepmc +1 more source
Quantum medicine: A quantum-mechanical framework for redox biology, disease and precision medicine. [PDF]
Sung JY, Cheong JH.
europepmc +1 more source
Quantum-Inspired gravitationally guided particle swarm optimization for feature selection and classification. [PDF]
Malik S +8 more
europepmc +1 more source
Hybrid classical and quantum computing for enhanced glioma tumor classification using TCGA data. [PDF]
Akpinar E, Oduncuoglu M.
europepmc +1 more source
Quantum granular-ball generation methods and their application in KNN classification. [PDF]
Yuan S, Tian X, Lin W, Xia S, Deng JD.
europepmc +1 more source
Binary and Multi-Class Classification of Colorectal Polyps Using CRP-ViT: A Comparative Study Between CNNs and QNNs. [PDF]
Selvaraj J +3 more
europepmc +1 more source
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Quantum Classification Algorithms
2020This chapter covers the topic of quantum classification algorithms. You will see how quantum classification algorithms are implemented in real life. Code examples are presented for different algorithms such as quantum classifiers, support vector machines, and sparse support vector machines.
Bhagvan Kommadi
openaire +2 more sources
Journal of Intelligent & Fuzzy Systems, 2019
In this paper, a novel quantum classification algorithm that is based on competitive learning is presented to classify an input pattern that results from the failures of some sensors.
A. Abdel‐Aty +5 more
semanticscholar +1 more source
In this paper, a novel quantum classification algorithm that is based on competitive learning is presented to classify an input pattern that results from the failures of some sensors.
A. Abdel‐Aty +5 more
semanticscholar +1 more source

