Smart farming becomes even smarter with deep learning—a bibliographical analysis

Z Ünal - IEEE access, 2020 - ieeexplore.ieee.org
Smart farming is a new concept that makes agriculture more efficient and effective by using
advanced information technologies. The latest advancements in connectivity, automation …

Deep learning-based techniques for pre-training deep convolutional neural networks

H Gao, F Kai-How, SR PADIGEPATI - US Patent 10,540,591, 2020 - Google Patents
The technology disclosed includes systems and methods to reduce overfitting of neural
network-implemented models that process sequences of amino acids and accompanying …

Deep convolutional neural networks for variant classification

L Sundaram, F Kai-How, H Gao… - US Patent …, 2022 - Google Patents
The technology disclosed relates to constructing a convolutional neural network-based
classifier for variant classification. In particular, it relates to training a convolutional neural …

Applications of Machine Learning and Deep Learning in Smart Agriculture

R Krishnamoorthy, R Thiagarajan… - … Algorithms for Signal …, 2022 - Wiley Online Library
Agricultural productivity can be increased using the machine learning (ML) and deep
learning in a smartest way. The Food and Agriculture Organization report indicates that the …

Artificial intelligence-based sequencing

K Jaganathan, A Dutta, D Kashefhaghighi… - US Patent …, 2022 - Google Patents
The technology disclosed processes a first input through a first neural network and produces
a first output. The first input comprises first image data derived from images of analytes and …

Artificial intelligence-based base calling

K Jaganathan, JR Gobbel, KIA Amirali - US Patent 11,783,917, 2023 - Google Patents
The technology disclosed processes input data through a neural network and produces an
alternative representation of the input data. The input data includes per-cycle image data for …

Training data generation for artificial intelligence-based sequencing

A Dutta, D Kashefhaghighi, KIA Amirali - US Patent 11,347,965, 2022 - Google Patents
The technology disclosed relates to generating ground truth training data to train a neural
network-based template generator for cluster metadata determination task. In particular, it …

Artificial intelligence-based generation of sequencing metadata

A Dutta, D Kashefhaghighi, KIA Amirali - US Patent 11,210,554, 2021 - Google Patents
JLCPHMBAVCMARE-UHFFFAOYSA-N [3-[[3-[[3-[[3-[[3-[[3-[[3-[[3-[[3-[[3-[[3-[[5-(2-amino-6-
oxo-1H-purin-9-yl)-3-[[3-[[3-[[3-[[3-[[3-[[5-(2-amino-6-oxo-1H-purin-9-yl)-3-[[5-(2-amino-6-oxo …

[HTML][HTML] Mathematical Models and Recognition Methods For Mobile Subscribers Mutual Placement

VV Ziyadinov, MV Tereshonok - T-Comm-Телекоммуникации и …, 2021 - cyberleninka.ru
The challenge of mobile subscribers' groups and crowd's behavior prediction during the
mass events is now increasingly important. Operative methods application of this task …

Artificial intelligence-based determination of analyte data for base calling

A Dutta, D Kashefhaghighi, KIA Amirali - US Patent 11,961,593, 2024 - Google Patents
The technology disclosed relates to artificial intelligence-based determination of analyte
data for base calling. In particular, the technology disclosed uses input image data that is …