Results 11 to 20 of about 6,240 (163)
FDN: A Real-Time Ensemble Fire Detection Network
IEEE AccessFires frequently occur worldwide, devastating neighborhoods and forests owing to challenges in early extinguishment. Computer vision-based deep learning models have recently been employed in fire detection research. The primary objective of this study is
Dong Hwan Shin +2 more
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Análisis de la estabilidad del arado "FDN" de tracción animal
Revista Ciencias Técnicas Agropecuarias, 2010 Para el análisis por los métodos de la estática de un arado de tracción animal, modelo FDN-fabricado en Oaxaca, México, se emplea un sistema de fuerzas en el plano longitudinal-vertical de movimiento, aplicado en puntos específicos del órgano de trabajo ...
Armando Eloy García de la Figal Costales +1 more
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FDN: Feature Decoupling Network for Head Pose Estimation
Proceedings of the AAAI Conference on Artificial Intelligence, 2020 Head pose estimation from RGB images without depth information is a challenging task due to the loss of spatial information as well as large head pose variations in the wild. The performance of existing landmark-free methods remains unsatisfactory as the quality of estimated pose is inferior.
Hao Zhang +3 more
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, 2021 In recent years, using raw waveforms as input for deep networks has been widely explored for the speaker verification system. For example, RawNet and RawNet2 extracted speaker's feature embeddings from waveforms automatically for recognizing their voice, which can vastly reduce the front-end computation and obtain state-of-the-art performance. However,
Li, Jin, Yan, Nan, Wang, Lan
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Benchmark of FDNS CFD code for direct connect RBCC test data [PDF]
36th AIAA/ASME/SAE/ASEE Joint Propulsion Conference and Exhibit, 2000 Computational Fluid Dynamics (CFD) analysis results are compared with experimental data from the Pennsylvania State University's (PSU) Propulsion Engineering Research Center (PERC) rocket based combined cycle (RBCC) rocket-ejector experiments. The PERC RBCC experimental hardware was in a direct-connect configuration in diffusion and afterburning (DAB ...
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A Deep Neural Network-Based Fault Detection Scheme for Aircraft IMU Sensors
International Journal of Aerospace Engineering, 2021 A new fault detection scheme for aircraft Inertial Measurement Unit (IMU) sensors is developed in this paper. This scheme adopts a deep neural network with a CNN-LSTM-fusion architecture (CNN: convolution neural network; LSTM: long short-term memory ...
Yiming Zhang +5 more
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Advances in Materials Science and Engineering, 2022 A novel ultrafine sulfoaluminate cement-based grouting material (USCBGM) has been prepared in the previous research, which had better engineering application performance, such as fast setting and hardening, fast strength development, stone body ...
Jianwu Zhang +5 more
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Forcing vertex square free detour number of a graph
Ratio Mathematica, 2023 Let G be a connected graph and S a square free detour basis of G. A subset T\subseteq S is called a forcing subset for S if S is the unique square free detour basis of S containing T. A forcing subset for S of minimum order is a minimum forcing subset of
G Priscilla Pacifica, K Christy Rani
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Low-Carbon Planning of Flexible Distribution Network Based on Carbon Emission Flow [PDF]
Dianli jiansheWith the large-scale development of distributed generation （DG）， flexible control of power flow in a distribution network can be realized using a soft open point （SOP）， which further enhances the ability of a flexible distribution network （FDN） to adjust
WANG Changwei, GAO Chao, NIU Kai, ZHU Ximeng, QU Rui, ZHANG Rufeng
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Consumo de FDN y su efecto sobre la respuesta a la IATF en vacas del trópico de México
Revista MVZ Córdoba, 2021 Objetivo. Evaluar el comportamiento reproductivo de vacas cruzadas del trópico de México alimentadas con dos niveles de fibra detergente neutro (FDN), induciéndolas a ovular con un protocolo hormonal e IATF. Materiales y métodos. Se utilizaron 27 vacas multíparas.
Juan Prisciliano Zárate-Martínez +4 more
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