Deep learning in electron microscopy
JM Ede - Machine Learning: Science and Technology, 2021 - iopscience.iop.org
Deep learning is transforming most areas of science and technology, including electron
microscopy. This review paper offers a practical perspective aimed at developers with …
microscopy. This review paper offers a practical perspective aimed at developers with …
Semantic TRIZ feasibility in technology development, innovation, and production: A systematic review
The study unfolds with an acknowledgment of the extensive exploration of TRIZ
components, spanning a solid philosophy, quantitative and inductive methods, and practical …
components, spanning a solid philosophy, quantitative and inductive methods, and practical …
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 …
PatentNet: multi-label classification of patent documents using deep learning based language understanding
Patent classification is an expensive and time-consuming task that has conventionally been
performed by domain experts. However, the increase in the number of filed patents and the …
performed by domain experts. However, the increase in the number of filed patents and the …
Patentsberta: A deep nlp based hybrid model for patent distance and classification using augmented sbert
This study presents an efficient approach for utilizing text data to calculate patent-to-patent
(p2p) technological similarity and proposes a hybrid framework for leveraging the resulting …
(p2p) technological similarity and proposes a hybrid framework for leveraging the resulting …
Using patents to support prospective life cycle assessment: opportunities and limitations
Purpose Some prospective life cycle assessment (LCA) studies obtain information from
patents, albeit without exploiting their full potential. The objective of this study is to show …
patents, albeit without exploiting their full potential. The objective of this study is to show …
Automating the search for a patent's prior art with a full text similarity search
More than ever, technical inventions are the symbol of our society's advance. Patents
guarantee their creators protection against infringement. For an invention being patentable …
guarantee their creators protection against infringement. For an invention being patentable …
Evaluation of technological knowledge transfer between Silicon Fen firms and University of Cambridge based on patents analysis
Silicon Fen (SF) is a cluster of high-tech firms located around the University of Cambridge
(UoC) in the UK. This article, for the first time, investigates the technological bonds between …
(UoC) in the UK. This article, for the first time, investigates the technological bonds between …
Event-based dynamic graph representation learning for patent application trend prediction
Accurate prediction of what types of patents that companies will apply for in the next period
of time can figure out their development strategies and help them discover potential partners …
of time can figure out their development strategies and help them discover potential partners …
A personalized recommendation system for high-quality patent trading by leveraging hybrid patent analysis
W Du, Y Wang, W Xu, J Ma - Scientometrics, 2021 - Springer
Patents, as technological innovation with commercial values, play a significant role for
increasing enterprise and national competitiveness. Personalized recommendation in online …
increasing enterprise and national competitiveness. Personalized recommendation in online …