Zobrazeno 1 - 10
of 19
pro vyhledávání: '"Deng, Min"'
Publikováno v:
Phys. Rev. A 109, 043324 (2024)
We investigate the ground-state phase diagram of a binary mixture of Bose-Einstein condensates (BECs) with competing interspecies $s$- and $p$-wave interactions. Exploiting a pseudopotential model for the $l=1$ partial wave, we derive an extended Gro
Externí odkaz:
http://arxiv.org/abs/2404.09294
Publikováno v:
IEEE Transactions on Geoscience and Remote Sensing, 2023
Semantic segmentation is a key technique involved in automatic interpretation of high-resolution remote sensing (HRS) imagery and has drawn much attention in the remote sensing community. Deep convolutional neural networks (DCNNs) have been successfu
Externí odkaz:
http://arxiv.org/abs/2208.07722
Autor:
Peng, Jian, Sun, Xian, Deng, Min, Tao, Chao, Tang, Bo, Li, Wenbo, Wu, Guohua, QingZhu, Liu, Yu, Lin, Tao, Li, Haifeng
Remembering and forgetting mechanisms are two sides of the same coin in a human learning-memory system. Inspired by human brain memory mechanisms, modern machine learning systems have been working to endow machine with lifelong learning capability th
Externí odkaz:
http://arxiv.org/abs/2111.10831
Earth observation resources are becoming increasingly indispensable in disaster relief, damage assessment and related domains. Many unpredicted factors, such as the change of observation task requirements, to the occurring of bad weather and resource
Externí odkaz:
http://arxiv.org/abs/2007.06172
Publikováno v:
Physica A: Statistical Mechanics and its Applications 2019
Describing the basic properties of road network systems, such as their robustness, vulnerability, and reliability, has been a very important research topic in the field of urban transportation. Current research mainly uses several statistical indicat
Externí odkaz:
http://arxiv.org/abs/1811.05743
Publikováno v:
IEEE Transactions on Intelligent Transportation Systems-2019
Accurate and real-time traffic forecasting plays an important role in the Intelligent Traffic System and is of great significance for urban traffic planning, traffic management, and traffic control. However, traffic forecasting has always been consid
Externí odkaz:
http://arxiv.org/abs/1811.05320
A critical challenge problem of scene change detection is that noisy changes generated by varying illumination, shadows and camera viewpoint make variances of a scene difficult to define and measure since the noisy changes and semantic ones are entan
Externí odkaz:
http://arxiv.org/abs/1810.09111
Publikováno v:
Phys. Rev. A 98, 042708 (2018)
A comprehensive search for "broad" Feshbach resonances (FRs) in all possible combinations of stable alkali-metal atoms is carried out, using a multi-channel quantum-defect theory assisted by the analytic wave functions for a long-range van-der-Waals
Externí odkaz:
http://arxiv.org/abs/1808.03917
Autor:
Cui, Yue, Shen, Chuyang, Deng, Min, Dong, Shen, Chen, Cheng, Lü, Rong, Gao, Bo, Tey, Meng Khoon, You, Li
Publikováno v:
PRL 119, 203402 (2017)
High partial-wave ($l\ge2$) Feshbach resonance (FR) in an ultracold mixture of $^{85}$Rb-$^{87}$Rb atoms is investigated experimentally aided by a partial-wave insensitive analytic multichannel quantum-defect theory (MQDT). Two "broad" resonances fro
Externí odkaz:
http://arxiv.org/abs/1709.08794
Human vision possesses strong invariance in image recognition. The cognitive capability of deep convolutional neural network (DCNN) is close to the human visual level because of hierarchical coding directly from raw image. Owing to its superiority in
Externí odkaz:
http://arxiv.org/abs/1708.01420