Results 301 to 310 of about 29,606,688 (333)

A Forward Model for Data Assimilation of GNSS Ocean Reflectometry Delay-Doppler Maps

IEEE Transactions on Geoscience and Remote Sensing, 2021
Delay-Doppler maps (DDMs) are generally the lowest level of calibrated observables produced from global navigation satellite system reflectometry (GNSS-R). A forward model is presented to relate the DDM, in units of absolute power at the receiver, to the
F. Huang, J. Garrison, S. Leidner, B. Annane, R. Hoffman, G. Grieco, A. Stoffelen   +6 more
semanticscholar   +1 more source

Simultaneous Analysis of Seismic Velocity and Electrical Conductivity in the Crust and the Uppermost Mantle: A Forward Model and Inversion Test Based on Grid Search

Journal of Geophysical Research: Solid Earth, 2021
This study presents a forward model to quantify the P‐wave velocity (VP), S‐wave velocity (VS), and electrical conductivity (σ) of the solid‐liquid mixtures for a given set of pressure, temperature, lithology, liquid phase (aqueous fluid or melt), liquid
H. Iwamori, K. Ueki, T. Hoshide, H. Sakuma, M. Ichiki, Tohru Watanabe, M. Nakamura, Hitomi Nakamura, T. Nishizawa, Atsushi Nakao, Y. Ogawa, T. Kuwatani, K. Nagata, T. Okada, E. Takahashi   +14 more
semanticscholar   +1 more source

Rotating acoustic source localization: A power propagation forward model and its high-resolution inverse methods

, 2021
The rotating-acoustic source localization has played an important role in rotary machine fault diagnosis, engine noise reduction and propeller recognition etc.
Ning Chu, Qian Huang, Liang Yu, Yue Ning, Dazhuan Wu   +4 more
semanticscholar   +1 more source

Detection of DDoS attacks with feed forward based deep neural network model

Expert systems with applications, 2021
As a result of the increase in the services provided over the internet, it is seen that the network infrastructure is more exposed to cyber attacks.
A. Cil, Kazim Yildiz, A. Buldu
semanticscholar   +1 more source

Uncertainty Quantification of the Fracture Network with a Novel Fractured Reservoir Forward Model

Day 3 Wed, September 26, 2018, 2018
A major part of the uncertainty for shale reservoirs comes from the distribution and properties of the fracture network. However, explicit fracture models are rarely used in uncertainty quantification due to their high computational cost.
Z. Chai, Hewei Tang, Youwei He, J. Killough, Yuhe Wang   +4 more
semanticscholar   +1 more source

Forward Model Approximation for General Video Game Learning

IEEE Conference on Computational Intelligence and Games, 2018
This paper proposes a novel learning agent model for a General Video Game Playing agent. Our agent learns an approximation of the forward model from repeatedly playing a game and subsequently adapting its behavior to previously unseen levels.
Alexander Dockhorn, Daan Apeldoorn
semanticscholar   +1 more source

MapAnything: Universal Feed-Forward Metric 3D Reconstruction

arXiv.org
We introduce MapAnything, a unified transformer-based feed-forward model that ingests one or more images along with optional geometric inputs such as camera intrinsics, poses, depth, or partial reconstructions, and then directly regresses the metric 3D ...
N. Keetha, Norman Müller, Johannes Schönberger, L. Porzi, Yuchen Zhang, Tobias Fischer, A. Knapitsch, Duncan Zauss, Ethan Weber, Nelson Antunes, Jonathon Luiten, Manuel López-Antequera, S. R. Bulò, Christian Richardt, Deva Ramanan, Sebastian A. Scherer, P. Kontschieder   +16 more
semanticscholar   +1 more source

Test-Time Model Adaptation with Only Forward Passes

International Conference on Machine Learning
Test-time adaptation has proven effective in adapting a given trained model to unseen test samples with potential distribution shifts. However, in real-world scenarios, models are usually deployed on resource-limited devices, e.g., FPGAs, and are often ...
Shuaicheng Niu, Chunyan Miao, Guohao Chen, Pengcheng Wu, Peilin Zhao   +4 more
semanticscholar   +1 more source

FORA: Fast-Forward Caching in Diffusion Transformer Acceleration

arXiv.org
Diffusion transformers (DiT) have become the de facto choice for generating high-quality images and videos, largely due to their scalability, which enables the construction of larger models for enhanced performance.
Pratheba Selvaraju, Tianyu Ding, Tianyi Chen, Ilya Zharkov, Luming Liang   +4 more
semanticscholar   +1 more source