Results 1 to 10 of about 2,291,111 (185)
Data-Driven Polyoxometalate Chemistry. [PDF]
ChemistryAbstractPolyoxometalates (POMs) are nanoscale, structurally versatile metal–oxo clusters with emerging applications in sustainability, energy, nanoelectronics, and life science technologies. Owing to their structural complexity, some all‐inorganic POMs are often perceived as serendipitous outcomes from self‐assembly processes, which poses challenges ...
Kondinski A +4 more
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Land, 2023 The variability in soil properties and crop yield can be overcome by adoption of smart farming practices through interpolation and mapping of spatial variability patterns.
Zainab Haroon +8 more
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Incremental Adaptive Control of a Class of Nonlinear Nonaffine Systems
Complexity, 2022 As a class of familiar nonlinear systems, nonaffine systems are frequently encountered in practical applications. Currently, in the context of learning control, there is a lack of research results about such general class of nonlinear systems, especially
Yizhao Zhan +3 more
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Radiomics for characterization of the glioma immune microenvironment
npj Precision Oncology, 2023 Increasing evidence suggests that besides mutational and molecular alterations, the immune component of the tumor microenvironment also substantially impacts tumor behavior and complicates treatment response, particularly to immunotherapies. Although the
Nastaran Khalili +9 more
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Data-driven Stellar Models [PDF]
The Astrophysical Journal, 2021 Abstract We developed a data-driven model to map stellar parameters (T eff, , and ) accurately and precisely to broadband stellar photometry.
Gregory M. Green +9 more
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Data-Driven Nonsmooth Optimization [PDF]
SIAM Journal on Optimization, 2020 In this work, we consider methods for solving large-scale optimization problems with a possibly nonsmooth objective function. The key idea is to first specify a class of optimization algorithms using a generic iterative scheme involving only linear operations and applications of proximal operators.
Sebastian Banert +4 more
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Mesh-Free Surrogate Models for Structural Mechanic FEM Simulation: A Comparative Study of Approaches
Applied Sciences, 2021 The technical world of today fundamentally relies on structural analysis in the form of design and structural mechanic simulations. A traditional and robust simulation method is the physics-based finite element method (FEM) simulation. FEM simulations in
Johannes G. Hoffer +3 more
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IEEE Access, 2023 Fully-supervised object detection and instance segmentation models have accomplished notable results on large-scale computer vision benchmark datasets. However, fully-supervised machine learning algorithms’ performances are immensely dependent on ...
Cathaoir Agnew +5 more
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BMC Bioinformatics, 2020 Background Gene fusion events are significant sources of somatic variation across adult and pediatric cancers and are some of the most clinically-effective therapeutic targets, yet low consensus of RNA-Seq fusion prediction algorithms makes therapeutic ...
Krutika S. Gaonkar +15 more
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Data-Driven Predictive Maintenance
IEEE Intelligent Systems, 2022 With the growth of 5G networks, the Internet-of-Things is becoming a reality. The advances in networking, machine learning, data analytics, and robotics largely improve industrial processes. Industry 4.0 is a term for the fourth industrial revolution: the digitization and automation of manufacturing [1].
Joao Gama, Rita P. Ribeiro, Bruno Veloso
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