Results 11 to 20 of about 543,959 (260)
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 +3 more
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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 +3 more
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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
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Aerosol and Air Quality Research, 2021 Reducing CO2 emission can effectively control global warming. And energy conservation is the most scientifical and systematical ways to reduce CO2 emissions. The total heat exchangers with membrane core, which consist of cross-corrugated triangular ducts
Zuoyi Chen +6 more
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Generalizing Across Domains via Cross-Gradient Training
CoRR, 2018 We present CROSSGRAD, a method to use multi-domain training data to learn a classifier that generalizes to new domains. CROSSGRAD does not need an adaptation phase via labeled or unlabeled data, or domain features in the new domain. Most existing domain adaptation methods attempt to erase domain signals using techniques like domain adversarial training.
Shiv Shankar +5 more
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AEM cross-gradient constrained inversion of gravity and magnetic data [PDF]
ASEG Extended Abstracts, 2016 Nowadays magnetics, electromagnetics and gravity are among the most abundant airborne surveys. Traditionally they aim at specific depth targets. For instance, Airborne Electromagnetic (AEM) data are known to provide reliable models of a few hundred meters deep; whereas, gravity and magnetic data can reveal geological features below few thousand meters ...
Adrián M. León-Sánchez +2 more
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Mechanical Engineering Journal, 2023 Micro-pressure wave emission from tunnel portals in high-speed railways causes environmental issues. Tunnel hoods installed in the tunnel portals reduce the micro-pressure wave emission by reducing the pressure gradient of the compression wavefront ...
Takashi FUKUDA, Sanetoshi SAITO
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Microfluidic synthesis of composite cross‐gradient materials for investigating cell–biomaterial interactions [PDF]
Biotechnology and Bioengineering, 2010 AbstractCombinatorial material synthesis is a powerful approach for creating composite material libraries for the high‐throughput screening of cell–material interactions. Although current combinatorial screening platforms have been tremendously successful in identifying target (termed “hit”) materials from composite material libraries, new material ...
Jiankang, He +8 more
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Multiple cross‐gradient joint inversion for geospectral imaging [PDF]
Geophysical Research Letters, 2007 Accurate characterization and monitoring of complex subsurface environments require the integration of all the available geophysical, geochemical and geological information. I developed a generalized cross‐gradient procedure that seeks multiple geometrically similar images that simplify the integration of cross‐property subsurface information.
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The educational gradient in young singlehood: The role of gender and the gender climate
Demographic Research, 2023 Background: Universities are described as "waiting halls" for union formation. However, little is known about the size of the educational gradient in single living after leaving home.
Lonneke van den Berg
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