Results 1 to 10 of about 1,555,240 (261)
Data-Driven Methods for Accelerating Polymer Design [PDF]
ACS Polymers Au, 2021 Optimal design of polymers is a challenging task due to their enormous chemical and configurational space. Recent advances in computations, machine learning, and increasing trends in data and software availability can potentially address this problem and accelerate the molecular-scale design of polymers.
Tarak K. Patra
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Data-driven assessment of eQTL mapping methods [PDF]
BMC Genomics, 2010 Background The analysis of expression quantitative trait loci (eQTL) is a potentially powerful way to detect transcriptional regulatory relationships at the genomic scale.
Schughart Klaus +3 more
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Summary study of data-driven photometric stereo methods
Virtual Reality & Intelligent Hardware, 2020 Background: A photometric stereo method aims to recover the surface normal of a 3D object observed under varying light directions. It is an ill-defined problem because the general reflectance properties of the surface are unknown.
Qian Zheng, Boxin Shi, Gang Pan
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Data-Driven Methods for Advancing Precision Oncology. [PDF]
Curr Pharmacol Rep, 2018 This article discusses the advances, methods, challenges, and future directions of data-driven methods in advancing precision oncology for biomedical research, drug discovery, clinical research, and practice.Precision oncology provides individually tailored cancer treatment by considering an individual's genetic makeup, clinical, environmental, social,
Nedungadi P +4 more
europepmc +4 more sources
Data driven methods for effective micromobility parking
Transportation Research Interdisciplinary Perspectives, 2021 In this work, we propose a data-driven method to use proven clustering algorithms for establishing shared electric scooter (SES) parking locations and assessing their anticipated utilization.
Ricardo Sandoval +6 more
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Energies, 2023 Maintenance is crucial for aircraft engines because of the demanding conditions to which they are exposed during operation. A proper maintenance plan is essential for ensuring safe flights and prolonging the life of the engines.
Maria Grazia De Giorgi +2 more
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On the Data-Driven COS Method [PDF]
SSRN Electronic Journal, 2017 In this paper, we present the data-driven COS method, ddCOS. It is a Fourier-based financial option valuation method which assumes the availability of asset data samples: a characteristic function of the underlying asset probability density function is not required.
Á. Leitao Rodriguez (Álvaro) +3 more
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A Data-Driven Scheme for Fault Detection of Discrete-Time Switched Systems
Sensors, 2021 This paper is concerned with the fault detection issue for a class of discrete-time switched systems via the data-driven approach. For the fault detection of switched systems, it is inevitable to consider the mode matching problem between the activated ...
Hao Zhao, Hao Luo, Yunkai Wu
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A Data Driven Method for Computing Quasipotentials
CoRR, 2020 The quasipotential is a natural generalization of the concept of energy functions to non-equilibrium systems. In the analysis of rare events in stochastic dynamics, it plays a central role in characterizing the statistics of transition events and the likely transition paths.
Bo Lin 0005, Qianxiao Li, Weiqing Ren
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IEEE Open Journal of Systems Engineering, 2023 Data-driven operations management methods can transform company operations, respond rapidly to customer demands, and enable new business models. However, companies face the challenge of measuring and evaluating how new technology will impact operational ...
Rodrigo Caporali De Andrade +2 more
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