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Search Results - susmitha+boyidapu
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Automated Hidden Neuron Optimization for MLPs
Advantages: Maximizes accuracy with fewer neurons through automated, adaptive neural network tuning Reduces data size by over 80% using advanced hybrid feature selection Ensures scalable, overfitting-resistant models with cross-validation and early stopping built-in Summary: Determining the optimal number of hidden neurons in Multilayer Perceptrons...
Published: 4/18/2025
|
Inventor(s):
Srinivas Katkoori
,
Susmitha Boyidapu
,
Lakshmi Kavya Kalyanam
Keywords(s):
Artificial Intelligence
,
Datasets
,
Machine Learning
Category(s):
Technology Classifications > Computer Science > Algorithms
,
Technology Classifications > Computer Science > Datasets
Deep Residual Inception Encoder-Decoder Network for Amyloid PET Harmonization
It is estimated that more than 6 million Americans may have dementia caused by Alzheimer’s disease (AD). Currently, AD is ranked as the seventh leading cause of death in the US. While several proteins have been implicated in AD, two, beta-amyloid and tau, are considered the defining pathologies of AD. Amyloid and tau imaging has subsequently become...
Published: 2/13/2025
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Inventor(s):
Fei Gao
,
Yi Su
,
Jay Shah
,
Teresa Wu
Keywords(s):
Category(s):
Computing & Information Technology
,
Imaging
,
Life Science (All LS Techs)
,
Medical Imaging
,
Neurodegenerative Disease Technologies
Cost-Effective Single-Step Process for the Catalytic Conversion of Methane to Methanol/Formaldehyde
Unmet Need: Currently there is no technology available in the market capable of producing Dimethyl Ether (DME) from methane in a single reactor. DME is an attractive substitute for diesel due to its high cetane number, which is a measure of its ignitibility in compression ignition engines. In addition, DME’s quiet combustion and inability to form...
Published: 10/8/2024
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Inventor(s):
Su Ha
,
M Norton
,
Oscar Marin Flores
Keywords(s):
Category(s):
Technologies > Health & Well-being > Chemistry
,
Technologies > Energy & Environment > Energy