A systematic literature review on intelligent automation: Aligning concepts from theory, practice, and future perspectives
With the recent developments in robotic process automation (RPA) and artificial intelligence
(AI), academics and industrial practitioners are now pursuing robust and adaptive decision …
(AI), academics and industrial practitioners are now pursuing robust and adaptive decision …
[HTML][HTML] A recent overview of the state-of-the-art elements of text classification
MM Mirończuk, J Protasiewicz - Expert Systems with Applications, 2018 - Elsevier
The aim of this study is to provide an overview the state-of-the-art elements of text
classification. For this purpose, we first select and investigate the primary and recent studies …
classification. For this purpose, we first select and investigate the primary and recent studies …
An analysis of hierarchical text classification using word embeddings
Efficient distributed numerical word representation models (word embeddings) combined
with modern machine learning algorithms have recently yielded considerable improvement …
with modern machine learning algorithms have recently yielded considerable improvement …
[HTML][HTML] The state-of-the-art on Intellectual Property Analytics (IPA): A literature review on artificial intelligence, machine learning and deep learning methods for …
L Aristodemou, F Tietze - World Patent Information, 2018 - Elsevier
Big data is increasingly available in all areas of manufacturing and operations, which
presents an opportunity for better decision making and discovery of the next generation of …
presents an opportunity for better decision making and discovery of the next generation of …
[PDF][PDF] A review of machine learning algorithms for text-documents classification
With the increasing availability of electronic documents and the rapid growth of the World
Wide Web, the task of automatic categorization of documents became the key method for …
Wide Web, the task of automatic categorization of documents became the key method for …
DeepPatent: patent classification with convolutional neural networks and word embedding
Patent classification is an essential task in patent information management and patent
knowledge mining. However, this task is still largely done manually due to the unsatisfactory …
knowledge mining. However, this task is still largely done manually due to the unsatisfactory …
A survey on deep learning for patent analysis
Patent document collections are an immense source of knowledge for research and
innovation communities worldwide. The rapid growth of the number of patent documents …
innovation communities worldwide. The rapid growth of the number of patent documents …
Solar radiation prediction using different machine learning algorithms and implications for extreme climate events
L Huang, J Kang, M Wan, L Fang, C Zhang… - Frontiers in Earth …, 2021 - frontiersin.org
Solar radiation is the Earth's primary source of energy and has an important role in the
surface radiation balance, hydrological cycles, vegetation photosynthesis, and weather and …
surface radiation balance, hydrological cycles, vegetation photosynthesis, and weather and …
Visualization of patent analysis for emerging technology
Many methods have been developed to recognize those progresses of technologies, and
one of them is to analyze patent information. And visualization methods are considered to be …
one of them is to analyze patent information. And visualization methods are considered to be …
A patent quality analysis for innovative technology and product development
Enterprises evaluate intellectual property rights and the quality of patent documents in order
to develop innovative products and discover state-of-the-art technology trends. The product …
to develop innovative products and discover state-of-the-art technology trends. The product …