Results 51 to 60 of about 2,781,871 (195)

Deep, deep, space

, 2000
Biblioteca de Educación del Ministerio de Educación, Cultura y Deporte; Calle San Agustín, 5 - 3 planta; 28014 Madrid; Tel.
Morris, Neil, Davis, Mark (il.)
openaire   +1 more source

Deep Over-sampling Framework for Classifying Imbalanced Data

, 2017
Class imbalance is a challenging issue in practical classification problems for deep learning models as well as traditional models. Traditionally successful countermeasures such as synthetic over-sampling have had limited success with complex, structured
B Krawczyk, C Dong, G Hinton, GE Hinton, H He, KQ Weinberger, MD Zeiler, NV Chawla, NV Chawla, P Jeatrakul, RA Dunne, S Ando, S Köknar-Tezel, Y Bengio, Y Lecun, ZH Zhou   +15 more
core   +1 more source

Static effects of differential rotation on Jupiter’s shape, gravity field, and interior structure

Astronomy & Astrophysics
Context. Jupiter’s atmosphere has strong zonal flows and exhibits marked differential rotation. The dynamic effects of these flows on Jupiter’s gravity field and internal structure have been extensively investigated in order to interpret Juno gravity ...
Luo Song, Jia Chaonan, Ni Dongdong
doaj   +1 more source

The Deep Space Network: A Radio Communications Instrument for Deep Space Exploration [PDF]

The primary purpose of the Deep Space Network (DSN) is to serve as a communications instrument for deep space exploration, providing communications between the spacecraft and the ground facilities.
Armstrong, J. W., Burow, N. A., Donnelly, H., Kinman, P. W., Noreen, G. K., Petty, S. M., Renzetti, N. A., Slobin, S. D., Stelzried, C. T., Trowbridge, D. L.   +9 more
core   +1 more source

Energy Conversion Associated with Intermittent Currents in the Magnetosheath Downstream of the Quasi-Parallel Shock

Magnetochemistry
Using the data from the Magnetospheric Multiscale (MMS) mission, we studied the energy conversion between electromagnetic fields and particles (ions and electrons) in a spacecraft rest frame inside a turbulent magnetosheath downstream of the quasi ...
Xinmin Li, Rongsheng Wang, San Lu, Ao Guo, Zhijian Zhang   +4 more
doaj   +1 more source

Ka-band (32 GHz) allocations for deep space [PDF]

At the 1979 World Administrative Conference, two new bands were allocated for deep space telecommunications: 31.8 to 32.3 GHz, space-to-Earth, and 34.2 to 34.7 GHz, Earth-to-space. These bands provide opportunity for further development of the Deep Space
Degroot, N. F.
core   +1 more source

Seismic visibility of carbonated subducted oceanic crust in the lower mantle

Communications Earth & Environment
Seismological studies have previously detected abundant scatterers in the lower mantle, potentially linked to long-term slab subduction, and petrology studies suggest carbonates can be sequestrated within the oceanic crust and transported into the lower ...
Yajie Zhao, Xin Deng, Wenzhong Wang, Zhongqing Wu, Ye Yuan   +4 more
doaj   +1 more source

Ion and electron motions in the outer electron diffusion region of collisionless magnetic reconnection

Earth and Planetary Physics
Two-dimensional particle-in-cell simulations are performed to study the coupling between ion and electron motions in collisionless magnetic reconnection. The electron diffusion region (EDR), where the electron motions are demagnetized, is found to have a
Cong Chang, QuanMing Lu, San Lu, Kai Huang, RongSheng Wang   +4 more
doaj   +1 more source

An embedded electron current layer observed at the edge of the plasma sheet in the Earth’s magnetotail

Earth and Planetary Physics
The formation of an embedded electron current sheet within the magnetotail plasma sheet has been poorly understood. In this article, we present an electron current layer detected at the edge of the magnetotail plasma sheet.
ChenChen Zhan, RongSheng Wang, QuanMing Lu, San Lu, XinMin Li   +4 more
doaj   +1 more source

An Incremental Construction of Deep Neuro Fuzzy System for Continual Learning of Non-stationary Data Streams

, 2019
Existing FNNs are mostly developed under a shallow network configuration having lower generalization power than those of deep structures. This paper proposes a novel self-organizing deep FNN, namely DEVFNN. Fuzzy rules can be automatically extracted from
Pedrycz, Witold, Pratama, Mahardhika, Webb, Geoffrey I.   +2 more
core   +1 more source