Harmonic Dissipative Soliton Resonance in an Er/Yb Co-Doped Fiber Laser Based…
Fundamental and harmonic mode-locking in the dissipative soliton resonance (DSR) regime is experimentally investigated in a net-normal-dispersion Er/Yb co-doped fiber laser based on the semiconduct…
Seek-and-Hide : Adversarial Steganography via Deep Reinforcement Learning
The goal of image steganography is to hide a full-sized image, termed secret, into another, termed cover. Prior image steganography algorithms can conceal only one secret within one cover. In this …
Learning Human Activity Patterns Using Clustered Point Processes With Active …
Modeling event patterns is a central task in a wide range of disciplines. In applications such as studying human activity patterns, events often arrive clustered with sporadic and long periods of i…
Multi-Threshold Structural Equation Model
In this article, we consider the instrumental variable estimation for causal regression parameters with multiple unknown structural changes across subpopulations. We propose a multiple change point…
Time-Varying Optical Spin-Orbit Interactions in Tight Focusing of Self-Torque…
Self-torque has recently been observed as a novel property of light that features time-varying orbital angular momentum (OAM) along a light pulse. This property offers an additional degree of freed…
Dual Concentric-Ring-Core Fiber With Four Zero-Dispersion Wavelengths for Bey…
Orbital angular momentum (OAM) beams, featuring with unique spatial field distributions, have been extensively investigated and applied into a wide range of fields. In most applications, OAM beams …
Highly Dispersive Optical Fiber for Orbital Angular Momentum Modes
Orbital angular momentum (OAM) modes, featured by the unique properties of the helical phase front and annular intensity profile, have shown enormous potential for a wide range of applications. Opt…
Ratio Sum Versus Sum Ratio for Linear Discriminant Analysis
Dimension reduction is a critical technology for high-dimensional data processing, where Linear Discriminant Analysis (LDA) and its variants are effective supervised methods. However, LDA prefers t…
Differential Evolution-Based Feature Selection: A Niching-Based Multiobjectiv…
Feature selection is to reduce both the dimensionality of data and the classification error rate (i.e., increase the classification accuracy) of a learning algorithm. The two objectives are often c…
Transportation Origin-Destination Demand Estimation with Quasi-Sparsity
Origin-destination (OD) demands for a city or a region are essential input to many transportation applications. For a real-world transportation network, the OD demand matrix may present certain qua…
Karya Umum 
Filsafat 
Agama 
Ilmu-ilmu Sosial 
Bahasa 
Ilmu-ilmu Murni 
Ilmu-ilmu Terapan 
Kesenian, Hiburan, dan Olahraga 
Kesusastraan 
Geografi dan Sejarah