Artificial intelligence in drug combination therapy

IF Tsigelny - Briefings in bioinformatics, 2019 - academic.oup.com
Currently, the development of medicines for complex diseases requires the development of
combination drug therapies. It is necessary because in many cases, one drug cannot target …

Reconstruction for limited-data nonlinear tomographic absorption spectroscopy via deep learning

J Huang, H Liu, J Dai, W Cai - Journal of Quantitative Spectroscopy and …, 2018 - Elsevier
Nonlinear tomographic absorption spectroscopy (NTAS) is an emerging gas sensing
technique for reactive flows that has been proven to be capable of simultaneously imaging …

A data-driven method based on deep belief networks for backlash error prediction in machining centers

Z Li, Y Wang, K Wang - Journal of Intelligent Manufacturing, 2020 - Springer
Backlash error occurs in a machining center may lead to a series of changes in the geometry
of the components and subsequently deteriorate the overall performance of the equipment …

Fault recognition of large-size low-speed slewing bearing based on improved deep belief network

Y Pan, H Wang, J Chen… - Journal of Vibration and …, 2023 - journals.sagepub.com
Slewing bearing is one of critical transmission in wind turbine and shield machine
withstanding low-speed and heavy-load working condition. Fault recognition is crucial to …

Pick-place of dynamic objects by robot manipulator based on deep learning and easy user interface teaching systems

D Hossain, G Capi, M Jindai, S Kaneko - Industrial Robot: An …, 2017 - emerald.com
Purpose Development of autonomous robot manipulator for human-robot assembly tasks is
a key component to reach high effectiveness. In such tasks, the robot real-time object …

Aggregation of neural classifiers using Choquet integral with respect to a fuzzy measure

AGC Pacheco, RA Krohling - Neurocomputing, 2018 - Elsevier
Data classification appears in many real-world problems, eg, recognition of image patterns,
differentiation among species of plants, classifying between benign and malignant tumors …

Spectral–temporal receptive field-based descriptors and hierarchical cascade deep belief network for guitar playing technique classification

CY Wang, PC Chang, JJ Ding, TC Tai… - IEEE Transactions …, 2020 - ieeexplore.ieee.org
Music information retrieval is of great interest in audio signal processing. However, relatively
little attention has been paid to the playing techniques of musical instruments. This work …

Recycling of printed circuit boards by robot manipulator: A Deep Learning Approach

K Naito, A Shirai, S Kaneko… - 2021 IEEE International …, 2021 - ieeexplore.ieee.org
Electronic circuit boards in mobile phones, PCs, home appliances, etc. that are no longer in
use contain many useful parts such as resin and metals. In addition, there are toxic elements …

A sensor-based official basketball referee signals recognition system using deep belief networks

CW Yeh, TY Pan, MC Hu - … , MMM 2017, Reykjavik, Iceland, January 4-6 …, 2017 - Springer
In a basketball game, basketball referees who have the responsibility to enforce the rules
and maintain the order of the basketball game has only a brief moment to determine if an …

Discriminative autoencoder

A Paul, A Majumdar… - 2018 25th IEEE …, 2018 - ieeexplore.ieee.org
Classification using cross-datasets (where a classifier trained using annotated image set A
is used to test similar images of set B due to lack of training images in B) is important for …