A5103236422- Image Retrieval and Classification Techniques
- Topic Modeling
- Global Energy Security and Policy
- Advanced Image and Video Retrieval Techniques
- Robotics and Sensor-Based Localization
- Natural Language Processing Techniques
- Infrared Target Detection Methodologies
- Water resources management and optimization
- Global Energy and Sustainability Research
- Text Readability and Simplification
- Speech and dialogue systems
- Advanced Vision and Imaging
- Ultrasound Imaging and Elastography
- Misinformation and Its Impacts
- Natural Resources and Economic Development
- Image Enhancement Techniques
- Spam and Phishing Detection
- Optical Systems and Laser Technology
- Entrepreneurship Studies and Influences
- Energy, Environment, and Transportation Policies
- Business Strategies and Innovation
- Risk and Safety Analysis
- Advanced Measurement and Detection Methods
- Cardiovascular Health and Disease Prevention
- Integrated Energy Systems Optimization
Nanjing University of Science and Technology
2024
Dalian University of Technology
2020-2024
Shenzhen University Health Science Center
2020
Beijing University of Posts and Telecommunications
2009
SIFT (scale invariant feature transform) is an important local descriptor. Since its expensive computation, SURF (speeded-up robust features) proposed. Both of them are designed mainly for gray images. However, color provides valuable information in object description and matching tasks. To overcome the drawback to increase descriptor's distinctiveness, this paper presents a novel descriptor which combines kernel histograms Haar wavelet responses construct vector. So two elements In image...
Bad weather, such as fog and haze can significantly degrade the visibility of a scene. In order to overcome it, some approaches have been proposed. this paper, we proposed novel defogging algorithm just based on single image. Firstly, employ method dark channel prior foundation our algorithm. After experimental analysis about removal, find that although behaves well in most situations, it also results larger saturation values specific situations. Then, focusing these propose an iterative...
Spoken language understanding (SLU) acts as a critical component in goal-oriented dialog systems. It typically involves identifying the speakers intent and extracting semantic slots from user utterances, which are known detection (ID) slot filling (SF). SLU problem has been intensively investigated recent years. However, these methods just constrain SF results grammatically, solve ID independently, or do not fully utilize mutual impact of two tasks. This paper proposes multi-head...
China’s natural gas supply has been challenged in the past few years by non-traditional risks such as trading conflicts, COVID-19 pandemic, and country’s own emission policy. To ensure energy security supply, conducting an up-to-date risk analysis of status is crucial. This research utilized Fuzzy-AHP method to compose a index assessed key links within chain from import side domestic side. The results indicate that (a) for import, most influential are correlated dependence risk,...
Large Language Models (LLMs) have garnered significant attention for their powerful ability in natural language understanding and reasoning. In this paper, we present a comprehensive empirical study to explore the performance of LLMs on misinformation detection tasks. This stands as pioneering investigation into capabilities multiple regarding both content propagation across social media platforms. Our studies five datasets show that with diverse prompts achieve comparable text-based but...
Recently, Large Language Models (LLMs) have drawn significant attention due to their outstanding reasoning capabilities and extensive knowledge repository, positioning them as superior in handling various natural language processing tasks compared other models. In this paper, we present a preliminary investigation into the potential of LLMs fact-checking. This study aims comprehensively evaluate tackling specific fact-checking subtasks, systematically evaluating capabilities, conducting...
A novel object detection method which combines color and scale invariant features is presented in this paper. The system mainly adopts the widely used framework of SIFT (Scale Invariant Feature Transform), consists both a keypoint detector descriptor. Although has some impressive advantages, it not only computationally expensive, but also vulnerable to images. To overcome these drawbacks, we employ local kernel histograms Haar Wavelet Responses enhance descriptor's distinctiveness...
A novel local image feature description method, which originates from the frameworks of classical SIFT (Scale Invariant Feature Transform) and SURF (Speeded up Robust Features), is presented in this paper. The design our descriptor innovatively adopts sub-regions overlapped each other description. Coordinated with overlapping sub-regions, we analyze different cell normalization methods. In addition, optical adjustment introduced to eliminate impact weather when it applied outdoor scenes....
China's strict coal-to-gas policy in the recent years has brought unexpected natural gas demand into domestic market, leading to additional uncertainty and pressure, further increased import dependency rate.The current situation urges China establish valid storage system for gas, which have been proved be a preferred method circumstances with high uncertainties.In this paper, we implement model based on welfare economics show optimal capacity its monthly scheme.The result indicates basic...