AbdomenCT-1K : Is Abdominal Organ Segmentation a Solved Problem?
With the unprecedented developments in deep learning, automatic segmentation of main abdominal organs seems to be a solved problem as state-of-the-art (SOTA) methods have achieved comparable result…
ControlVAE: Tuning, Analytical Properties, and Performance Analysis
This paper reviews the novel concept of a controllable variational autoencoder (ControlVAE), discusses its parameter tuning to meet application needs, derives its key analytic properties, and offer…
Sine-Cosine Techniques for Detecting Fast Optical Frequency Variations With U…
We introduce the concept of sine-cosine optical frequency detection (OFD) for measuring fast optical frequency variations with the ultra-high spectral resolution for applications requiring rapidly …
Frequency Response Enhancement of Φ-OTDR Using Interval-Sweeping Pulse Equiv…
An interval-sweeping pulse equivalent sampling (ISPES) method based on compressed sensing technique is proposed to enhance the frequency response of phase-sensitive optical time-domain reflectometr…
Performance Comparison of Different Rotated QAM Based DMT Schemes in Underwat…
In the paper, different rotated QAM-based DMT schemes are proposed and experimentally demonstrated. To overcome the severe high-frequency fading in the underwater optical wireless communication (UO…
One-Time Pad Strategy Combined With Dynamic Key Embedding and Multi-Level Cha…
Chaotic encryption is a potential scheme for the communication security of radio-over-fiber (RoF) system. In this paper, a one-time pad strategy combined with dynamic key embedding and multi-level …
High-Performance Polarization-Independent Beam Splitters and MZI in Silicon C…
Siliconcarbide (SiC), having various intrinsic color centers, is a highly promising optical material for making monolithic quantum integrated photonic circuits, by combining the single-photon sourc…
Modal Dynamics in Kilowatt Cladding-Pumped Random Distributed Feedback Raman …
Random distributed-feedback Raman fiber lasers (RRFLs) are promising contenders in the applications of remote sensing, biotechnology, imaging, thanks to the unique properties on low coherence and w…
Affinity Attention Graph Neural Network for Weakly Supervised Semantic Segmen…
Weakly supervised semantic segmentation is receiving great attention due to its low human annotation cost. In this paper, we aim to tackle bounding box supervised semantic segmentation, i.e., train…
Evolutionary Sequential Transfer Optimization for Objective-Heterogeneous Pro…
Evolutionary sequential transfer optimization is a paradigm that leverages search experience from solved source optimization tasks to accelerate the evolutionary search of a target task. Even thoug…
Karya Umum 
Filsafat 
Agama 
Ilmu-ilmu Sosial 
Bahasa 
Ilmu-ilmu Murni 
Ilmu-ilmu Terapan 
Kesenian, Hiburan, dan Olahraga 
Kesusastraan 
Geografi dan Sejarah