A5084490185- Medical Image Segmentation Techniques
- Engineering Diagnostics and Reliability
- Digital Image Processing Techniques
- Advanced Text Analysis Techniques
- Fault Detection and Control Systems
- Software Engineering Research
- Software Testing and Debugging Techniques
- Anomaly Detection Techniques and Applications
- Cognitive Computing and Networks
- Reliability and Maintenance Optimization
China Electronic Product Reliability and Environmental Test Institute
2023-2024
National University of Defense Technology
2017-2019
Fault localization aims at identifying suspicious statements potentially responsible for failures. The recent rapid progress on deep learning shows the promising potential of many neural network architectures in making sense data, and more importantly, this offers a new prospective probably benefiting fault localization. Thus, paper proposes CNN-FL: an approach localizing faults based convolutional networks to explore Specifically, CNN-FL constructs customized localization, then trains with...
Existing graph-based ranking techniques for keyphrase extraction only consider the connections between words in a document, ignoring impact of sentence. Motivated by fact that word must be important if it appears many sentences, we propose to take full advantage reinforcement andsentences melting three kinds relationships them. Moreover, document is grouped with topics. The extracted keyphrases should synthetic sense they deal all main topics document. Inspired this, topic model into...
Abstract In the context of deep integration artificial intelligence and industrial fields, precise calculation multi-step process capability has become a current research hotspot. most estimation is mostly in rough stage, there are relatively few quantitative methods. This paper focuses on processes field, using learning models to learn features each step by step, then comprehensively estimating weights between ultimately achieving accurate prediction capabilities. conducts in-depth analysis...
With the deep integration of artificial intelligence into industries such as automobiles, aerospace, transportation, chemicals, energy, and electricity, research development intelligent manufacturing is on rise. Artificial algorithms have achieved great success in single processes. However, due to complexity industrial processes dynamic changes environment, reliability analysis capability estimation multi-step field relatively lacking. This article proposes an algorithm model DB_GJ based...