Results 11 to 20 of about 12,931,660 (289)
A Probabilistic Approach to Explore Signal Execution Mechanisms With Limited Experimental Data
Frontiers in Genetics, 2020 Mathematical models of biochemical reaction networks are central to the study of dynamic cellular processes and hypothesis generation that informs experimentation and validation.
Michael A. Kochen +2 more
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Robust identification from band-limited data [PDF]
, 1997 Consider the problem of identifying a scalar bounded-input/bounded-output stable transfer function from pointwise measurements at frequencies within a bandwidth.
Baratchart, L. +3 more
core +1 more source
Applied Sciences, 2023 This paper critically examines the weighted sample average approximation (wSAA) framework, a widely used approach in prescriptive analytics for managing uncertain optimization problems featuring non-linear objectives.
Shuaian Wang, Xuecheng Tian
doaj +1 more source
Building a robust dialogue system with limited data [PDF]
, 2000 We describe robustness techniques used in the CommandTalk system at the recognition level, the parsing level, and th dia6ue level, and how these were influenced by the lack of domain data.
Bratt, Elizabeth Owen +3 more
core +3 more sources
Mathematics, 2023 This paper presents an analysis of the decision quality of the predict-then-optimize (PO) framework, an extensively used prescriptive analytics framework in uncertain optimization problems.
Shuaian Wang, Xuecheng Tian
doaj +1 more source
Field developmental plan analysis: a case study of ‘x’ reservoir
Journal of Petroleum Exploration and Production Technology, 2019 Petroleum resources remain very important to the economic growth of several nations of the world even as oil price fluctuates in the current market today.
Taiwo Oludele Osunrinde +2 more
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Climate Services, 2020 Although activities within the Climate Services sector have been offered to public and private sector markets for a long time, the concept of “Climate Services” as a distinct sector is relatively new. Traditionally, these services have been considered an
Steve Howard, Sarah Howard, Simon Howard
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Intraclass Image Augmentation for Defect Detection Using Generative Adversarial Neural Networks
Sensors, 2023 Surface defect identification based on computer vision algorithms often leads to inadequate generalization ability due to large intraclass variation. Diversity in lighting conditions, noise components, defect size, shape, and position make the problem ...
Vignesh Sampath +5 more
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Methods for Population Adjustment with Limited Access to Individual Patient Data: A Review and Simulation Study [PDF]
, 2021 Population-adjusted indirect comparisons estimate treatment effects when access to individual patient data is limited and there are cross-trial differences in effect modifiers.
Baio, Gianluca +2 more
core +2 more sources
Energies, 2023 Model-based optimization is an important means by which to analyze the energy-saving potential of chiller plants. To obtain reliable energy-saving results, model calibration is essential, which strongly depends on operating data. However, sufficient data
Cheng Zhen, Jide Niu, Zhe Tian
doaj +1 more source