Lijie Feng
Biographic Data
| ID | 7881806 |
|---|---|
| NAME | Lijie Feng |
| GIVEN NAMES | Lijie |
| FAMILY NAME | Feng |
| SIGNATURE | FENG L |
| AFFILIATIONS | Zhengzhou University |
| ORCID | 0000-0002-0845-2541 |
| VERIFIED | Yes |
| TOTAL WORKS | 5 |
| TOTAL CITATIONS | 0 |
| WORKS AS AUTHOR | 5 |
| WORKS AS EDITOR | 0 |
| FIRST PUBLICATION YEAR | 2020 |
| LATEST PUBLICATION YEAR | 2025 |
| H-INDEX | 0 |
Identification of technology innovation path based on multi-feature vector fusion
Mapping and comparing the technology evolution paths of scientific papers and patents
Development of technology opportunity analysis based on technology landscape by extending technology elements with Bert and TRIZ
A Novel Epilepsy Detection Method Based on Feature Extraction by Deep Autoencoder on EEG Signal
Electroencephalogram (EEG) signals are the gold standard tool for detecting epileptic seizures. Long-term EEG signal monitoring is a promising method to realize real-time and automatic epilepsy detection with the assistance of computer-aided techniques and the Internet of Medical Things (IoMT) devices. Machine learning (ML) algorithms combined with advanced feature extraction methods have been widely explored to precisely recognize EEG signals, w…
Idea Generation and New Direction for Exploitation Technologies of Coal-Seam Gas through Recombinative Innovation and Patent Analysis
Coal-seam gas (CSG), as an alternative energy, has the characteristics of resource scarcity and technological exploitation complexity. The generation of ideas is vital to develop more efficient exploitation technologies for CSG. Innovative ideas originate from the recombination of existing knowledge elements according to recombinative innovation. The previous literature has focused on exploring an abundance of combinations, which leads to blindne…
No prominent works on this page.
Idea Generation and New Direction for Exploitation Technologies of Coal-Seam Gas through Recombinative Innovation and Patent Analysis
Coal-seam gas (CSG), as an alternative energy, has the characteristics of resource scarcity and technological exploitation complexity. The generation of ideas is vital to develop more efficient exploitation technologies for CSG. Innovative ideas originate from the recombination of existing knowledge elements according to recombinative innovation. The previous literature has focused on exploring an abundance of combinations, which leads to blindne…
A Novel Epilepsy Detection Method Based on Feature Extraction by Deep Autoencoder on EEG Signal
Electroencephalogram (EEG) signals are the gold standard tool for detecting epileptic seizures. Long-term EEG signal monitoring is a promising method to realize real-time and automatic epilepsy detection with the assistance of computer-aided techniques and the Internet of Medical Things (IoMT) devices. Machine learning (ML) algorithms combined with advanced feature extraction methods have been widely explored to precisely recognize EEG signals, w…
Development of technology opportunity analysis based on technology landscape by extending technology elements with Bert and TRIZ
Mapping and comparing the technology evolution paths of scientific papers and patents
Identification of technology innovation path based on multi-feature vector fusion
Artificial Intelligence (5 works) · Computer Science (5 works) · Artificial Intelligence (3 works) · Data science (3 works) · Engineering (3 works) · Innovation and Knowledge Management (3 works) · Identification (biology) (2 works) · Intellectual Property and Patents (2 works) · Advanced Memory and Neural Computing (1 work) · Autoencoder (1 work)