On big data, artificial intelligence and smart cities
Cities are increasingly turning towards specialized technologies to address issues related to
society, ecology, morphology and many others. The emerging concept of Smart Cities highly …
society, ecology, morphology and many others. The emerging concept of Smart Cities highly …
Transfer learning for drug discovery
C Cai, S Wang, Y Xu, W Zhang, K Tang… - Journal of Medicinal …, 2020 - ACS Publications
The data sets available to train models for in silico drug discovery efforts are often small.
Indeed, the sparse availability of labeled data is a major barrier to artificial-intelligence …
Indeed, the sparse availability of labeled data is a major barrier to artificial-intelligence …
Bearing fault detection and diagnosis using case western reserve university dataset with deep learning approaches: A review
A smart factory is a highly digitized and connected production facility that relies on smart
manufacturing. Additionally, artificial intelligence is the core technology of smart factories …
manufacturing. Additionally, artificial intelligence is the core technology of smart factories …
Topic modeling in management research: Rendering new theory from textual data
Increasingly, management researchers are using topic modeling, a new method borrowed
from computer science, to reveal phenomenon-based constructs and grounded conceptual …
from computer science, to reveal phenomenon-based constructs and grounded conceptual …
[HTML][HTML] “If they don't tell us what they do with it, why would we trust them?” Trust, transparency and benefit-sharing in Smart Farming
Abstract Advances in Smart Farming and Big Data applications have the potential to help
agricultural industries meet productivity and sustainability challenges. However, these …
agricultural industries meet productivity and sustainability challenges. However, these …