- ホーム
- > 洋書
- > ドイツ書
- > Mathematics, Sciences & Technology
- > Technology
- > electronics, electrical engineering, telecommunications
Full Description
This book comprises peer reviewed papers presented at 2025 7th International Symposium on Signal Processing Systems (SSPS 2025), which was held at Industrial University of Ho Chi Minh City, Vietnam, during May 16-18, 2025. SSPS in an annual symposium which aims to bring together diversity of scholars and researchers from different nations and regions to share ideas and new perspectives in both theoretical and practical aspects of signal processing system. This book features the latest research developments in design and implementation of signal processing system. The topics covered in this book contain computer vision and image processing methods, machine learning and data transmission in communication and signal systems, next generation communication systems and information networks, signal detection and reliability analysis in intelligent power electronic systems.
Contents
Computer Vision and Image Processing Methods.- Sparse Mode Selection based Light Field Image Coding for Variable Bitrate Communication.- Hybrid Approach to Oyster Dataset Creation: Integrating Deep Learning and Auto Labeling in Image Processing.- Vietnamese Large-scale Mammography Analysis: A Comparative Study of State-of-the-Art Deep Learning Methods.- Feature Extraction and Classification of ECG Signals Using Multi-Channel 1-D CNN.- A Wrapper Feature Selection Method Based on Binary Sine Cosine Algorithm for Multi-label Biological Data Classification.- Enhancing an Efficient Contactless Palm Print Recognition System Tailored for University Environment.- Machine Learning and Data Transmission in Communication and Signal Systems.- Joint Active and Passive Beamforming Optimization Using Unsupervised Deep Learning for Intelligent Reflecting Surface-Aided Multiple-Input Single-Output Systems.- New Proof of the Decentralized BEER Optimization Algorithm under the Polyak-Lojasiewicz Condition.- Investigating and Evaluating the Effectiveness of Pre-trained Deep Learning models for Text-To-SQL task in Improving Search Experience on E-commerce Platforms in Vietnam.
