Systematic sampling is straightforward and low risk, offering better control. However, it may introduce sampling errors and ...
Creative Commons (CC): This is a Creative Commons license. Attribution (BY): Credit must be given to the creator. Sensors for monitoring volatile organic compounds are commonly employed for air ...
Previous high-order solvers are unstable for guided sampling: Samples use the pre-trained DPMs on ImageNet 256 256 with a classifier guidance scale 8.0, varying different samplers (and different ...
Abstract: This article presents a novel approach to the reconstruction of narrowband signals using undersampling techniques. Traditional sampling methods, which adhere to the Nyquist theorem, often ...
Agricultural soil testing is critical to determining soil’s nutrient concentration and variability across your fields. It is ideal to test your fields’ soil at least every two to three years to inform ...
ABSTRACT: This study investigates the capacity of robo-advisory services to improve financial institutions like First National Bank Botswana’s (FNBB) competitiveness within a changing digital ...
Sampling from probability distributions with known density functions (up to normalization) is a fundamental challenge across various scientific domains. From Bayesian uncertainty quantification to ...
The main objective of feed sampling is to obtain a representative sample of the entire feed batch. A representative sample is crucial because it reflects the overall quality of the feed, allowing for ...
School of Computer Science and Engineering, The Key Lab of Computer Network and Information Integration (Ministry of Education), Southeast University, Nanjing, China. Video-text retrieval (VTR) is an ...
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