Results 11 to 20 of about 5,032,170 (262)

Fast 3D joint inversion of gravity and magnetic data based on cross gradient constraint

Geodesy and Geodynamics, 2023
The gravity and magnetic data can be adopted to interpret the internal structure of the Earth. To improve the calculation efficiency during the inversion process and the accuracy and reliability of the reconstructed physical property models, the triple ...
Sheng Liu, Xiangyun Wan, Shuanggen Jin, Bin Jia, Songbai Xuan, Quan Lou, Binbin Qin, Rongfu Peng, Dali Sun   +8 more
doaj   +3 more sources

Approximating the Gradient of Cross-Entropy Loss Function

IEEE Access, 2020
A loss function has two crucial roles in training a conventional discriminant deep neural network (DNN): (i) it measures the goodness of classification and (ii) generates the gradients that drive the training of the network. In this paper, we approximate
Li Li, Milos Doroslovacki, Murray H. Loew   +2 more
doaj   +3 more sources

Enhancing electrical structure in magnetotelluric inversion by the constraint of minimum cross-gradient support coupling

Frontiers in Earth Science
The geophysical inversion problem is inherently underdetermined. Constrained inversion, by incorporating prior information, can effectively reduce the ambiguity in inversion results.
Zuwei Huang, Peng Yu, Chongjin Zhao, Luolei Zhang, Han Song   +4 more
doaj   +3 more sources

High-Resolution Cooperate Density-Integrated Inversion Method of Airborne Gravity and Its Gradient Data

Remote Sensing, 2021
Airborne (or satellite) gravity measurement is a commonly used remote sensing method to obtain the underground density distribution. Airborne gravity gradiometry data have a higher horizontal resolution to shallower causative sources than airborne ...
Guoqing Ma, Tong Gao, Lili Li, Taihan Wang, Runxin Niu, Xinwei Li   +5 more
doaj   +1 more source

Improving the prediction of wind speed and power production of SCADA system with ensemble method and 10-fold cross-validation

Case Studies in Chemical and Environmental Engineering, 2023
This research used machine-learning-based forecasting models to estimate a Supervisory control and data acquisition system's wind speed and electricity production.
Seyed Matin Malakouti
doaj   +1 more source

Observation of cross phase modulation in cold atom gradient echo memory

New Journal of Physics, 2022
Strong nonlinear interactions between single photons have important applications in optical quantum information processing. Demonstrations of these interactions in cold atomic ensembles have largely been limited to exploiting slow light generated using ...
Anthony C Leung, K S Ida Melody, Aaron D Tranter, Karun V Paul, Geoff T Campbell, Ping Koy Lam, Ben C Buchler   +6 more
doaj   +1 more source

DDRCN: Deep Deterministic Policy Gradient Recommendation Framework Fused with Deep Cross Networks

Applied Sciences, 2023
As an essential branch of artificial intelligence, recommendation systems have gradually penetrated people’s daily lives. It is the active recommendation of goods or services of potential interest to users based on their preferences.
Tianhan Gao, Shen Gao, Jun Xu, Qihui Zhao   +3 more
doaj   +1 more source

High-Precision Joint Magnetization Vector Inversion Method of Airborne Magnetic and Gradient Data with Structure and Data Double Constraints

Remote Sensing, 2022
Airborne magnetic and gradient measurements are commonly used geophysical remote sensing tools to obtain the distribution features of ore mineral bodies.
Guoqing Ma, Yanan Zhao, Bowen Xu, Lili Li, Taihan Wang   +4 more
doaj   +1 more source

Gradient normalized least-squares reverse-time migration imaging technology

Frontiers in Earth Science, 2022
Least-squares reverse-time migration (LSRTM) can overcome the problems of low resolution and unbalanced amplitude energy of deep formation imaging in reverse-time migration (RTM); hence, it can obtain a more accurate imaging profile.
Yanfeng Sun, Xiugang Xu, Xiugang Xu, Le Tang   +3 more
doaj   +1 more source

Joint Inversion of 3D Gravity and Magnetic Data under Undulating Terrain Based on Combined Hexahedral Grid

Remote Sensing, 2022
As an effective underground imaging method, the joint inversion of the gravity and magnetic data has an important application in the comprehensive interpretation of mineral exploration, and unstructured modeling is the key to accurately solving its ...
Haoyuan He, Tonglin Li, Rongzhe Zhang
doaj   +1 more source