A5103141038- Tea Polyphenols and Effects
- Advanced Computational Techniques and Applications
- Industrial Vision Systems and Defect Detection
- Remote Sensing and Land Use
- Spectroscopy and Chemometric Analyses
- Neural Networks and Applications
- Food Quality and Safety Studies
- Identification and Quantification in Food
- Service-Oriented Architecture and Web Services
- Wireless Signal Modulation Classification
- Fuzzy Logic and Control Systems
- Blind Source Separation Techniques
- Surface Roughness and Optical Measurements
- Radar Systems and Signal Processing
Huaneng Clean Energy Research Institute
2025
Chongqing Institute of Geology and Mineral Resources
2025
Anhui Agricultural University
2024
Cardiff University
2023
Dalian Maritime University
2020
This article proposes a novel orthogonal frequency-division multiplexing (OFDM) autoencoder featuring convolutional neural networks (CNNs)-based channel estimation for marine communications with complex and fast-changing environments. We demonstrate that the proposed OFDM system can be generalized to work under various environments, different throughputs, while outperforming traditional counterparts, especially when working at high throughputs. In addition, since systems require accurate...
The anthocyanins in apple leaves can indicate their growth status, and the health of not only reveals nutritional supply tree but also reflects quality fruit. Therefore, real-time monitoring monitor growth, thereby promoting development industry. This study utilizes ground hyperspectral imaging to estimate Fuji Loess Plateau through spectral transformation, feature extraction (including band selection indices construction), regression algorithm selection, establishing models for three...
There is scope to enhance agricultural measurement and control systems user interactivity, which typically necessitates training for users perform specific operations successfully. With the continuous development of natural language semantic processing technology, it has become essential augment user-friendliness multifaceted query in sector, ultimately leading reduced operation costs users. The study aims focus on command parsing. proposed AMR-OPO parsing framework based understanding...
This paper presents CAD implementations of the Artificial Neural Network (ANN) model and Cardiff Model (CM) in Keysight Advanced Design System (ADS). A comparative analysis running time difference between two behavioral models is conducted. The results indicate that removal certain dispensable calculations CM template can save 99% on large dataset simulations at fundamental frequency, while maintaining a Normalized Mean Square Error (NMSE) level lower than -50 dB. modified exhibits similar...