摘要(中) 近年來, 隨著硬體的計算能力快速提升, 建置成本下降以及大數據的興起,
使用機器學習與深度學習技術的應用越來越普及. 機器學習與深度學習技術最常運用的用途就是 …

Identity authentication systems based on biometric information have been widely used in
recent years. Most people accept its convenience, security, and privacy, avoiding the user's …

I want to start by expressing my deepest gratitude to my senior advisor, Assoc. Professor
Akram Al-Hourani, for his invaluable insights, continuous support, and patience throughout …

Pattern recognition have been a topic of active research during the 30 years, due to the high
performance that these schemes presents, when they have been used in the solution of …

In this paper, two deep ensemble algorithms, the hierarchical and multi-stage feature fusion
(HMSFF) and Cooperative decision (Co_decision), are designed for specific emitter …

(1a. Department of Graduate Management; 1b. School of Space Information, Space
Engineering University, Beijing 101416, China; 2. Institute of Logistics Science and …

The ability to classify different types of signal modulations in radio transmissions is an
important task with applications in defense, networking, and communications. This process …

Within-class multimodality happens when the scattering of the patterns having the same
class label follows more than one modal distribution. In this multimodal scenario, it is …

Abstract The Binary Min-Redundancy Max-Diversity (BMRMD) was utilized to determine the
computer network hacking and attacks. The Intrusion Detection System (IDS) is crucial for …

Specific Emitter Identification (SEI) is a key research problem in the field of information
countermeasures. It is one of the key technologies required to be solved urgently in the …