[HTML][HTML] Synergy between artificial intelligence and hyperspectral imagining—A review
The synergy between artificial intelligence (AI) and hyperspectral imaging (HSI) holds
tremendous potential across a wide array of fields. By leveraging AI, the processing and …
tremendous potential across a wide array of fields. By leveraging AI, the processing and …
A review of methods and applications in structural health monitoring (SHM) for bridges
B Zhang, Y Ren, S He, Z Gao, B Li, J Song - Measurement, 2024 - Elsevier
Abstract Structural Health Monitoring (SHM) of bridges entails the identification and
assessment of sudden or cumulative structural damage to ensure the continuous safe …
assessment of sudden or cumulative structural damage to ensure the continuous safe …
[HTML][HTML] Leveraging Deep Learning for Robust Structural Damage Detection and Classification: A Transfer Learning Approach via CNN
Transfer learning techniques for structural health monitoring in bridge-type structures are
investigated, focusing on model generalizability and domain adaptation challenges. Finite …
investigated, focusing on model generalizability and domain adaptation challenges. Finite …
An effective multi-source information fusion method for electronic nose and hyperspectral to identify the spring tea quality at different harvesting periods
Y Yu, Q Li, Z Hua, C Yin, Y Shi - Measurement, 2025 - Elsevier
Multimodal information fusion technology enhances the reliability and stability of
representing the comprehensive characteristics of sample. In this work, a Global and Local …
representing the comprehensive characteristics of sample. In this work, a Global and Local …
Drowsiness Detection of Construction Workers: Accident Prevention Leveraging Yolov8 Deep Learning and Computer Vision Techniques
Construction projects' unsatisfactory performance has been linked to factors influencing
individuals' well-being and mental alertness on projects. Drowsiness is a significant …
individuals' well-being and mental alertness on projects. Drowsiness is a significant …
A Data Construction Method Jointing Time-Frequency Features and a Multi-Scale Pooling-Free Network Model for Structural Damage Identification
P Pu, W Li, J Yang, Q Zhao - Available at SSRN 5062235 - papers.ssrn.com
In the context of structural damage identification based on supervised learning, the effective
dataset and efficient feature extraction network are paramount. Therefore, this work …
dataset and efficient feature extraction network are paramount. Therefore, this work …
Research on the Application of Adversarial Networks with Multi-Scale Features and Dynamic Attention Mechanisms in Road Defect Image Generation and Detection
J OU, J Zhang, H Li, B Duan - Available at SSRN 4944650 - papers.ssrn.com
In road maintenance and management, accurate and efficient detection of road defects is
vital for enhancing road safety and longevity. Current image detection technologies often …
vital for enhancing road safety and longevity. Current image detection technologies often …