Results 11 to 20 of about 837,134 (277)
Land, 2021 Over the last few years, landslides have occurred more and more frequently worldwide, causing severe effects on both natural and human environments. Given that landslide susceptibility (LS) assessments and mapping can spatially determine the potential ...
Christos Polykretis +4 more
doaj +1 more source
Bioengineering, 2023 The Valley of Death confronts industrial biotechnology with a significant challenge to the commercialization of products. Fortunately, with the integration of computation, automation and artificial intelligence (AI) technology, the industrial ...
Xueting Wang +5 more
doaj +1 more source
Binarization of features based on frequency discretization for clustering tasks [PDF]
ITM Web of ConferencesThis paper explores the transformation of heterogeneous features, including continuous data, into binary form using frequency discretization. This method is particularly beneficial for clustering tasks, as binary features simplify the interpretation of ...
Masich Igor +2 more
doaj +1 more source
Advanced Machine Learning Methods for Major Hurricane Forecasting
Remote Sensing, 2022 Hurricanes, rapidly increasing in complexity and strength in a warmer world, are one of the worst natural disasters in the 21st century. Further studies integrating the changing hurricane features are thus crucial to aid in the prediction of major ...
Javier Martinez-Amaya +2 more
doaj +1 more source
Unsupervised feature selection in binarization of real attributes for conceptual clustering [PDF]
ITM Web of ConferencesThis paper proposes an approach for processing noisy data to form homogeneous subgroups of objects based on Formal Concept Analysis (FCA). The approach involves binary encoding of heterogeneous features and unsupervised feature selection using the ...
Shkaberina Guzel +3 more
doaj +1 more source
Applied Sciences, 2021 Solar cars are energy-sensitive and affected by many factors. In order to achieve optimal energy management of solar cars, it is necessary to comprehensively characterize the energy flow of vehicular components.
Luchang Bai +4 more
doaj +1 more source
Auxiliary Guided Autoregressive Variational Autoencoders [PDF]
, 2018 Generative modeling of high-dimensional data is a key problem in machine learning. Successful approaches include latent variable models and autoregressive models. The complementary strengths of these approaches, to model global and local image statistics
Lucas, Thomas, Verbeek, Jakob
core +4 more sources
Geophysical Research Letters, 2022 As surface water resources in the U.S. continue to be pressured by excess nutrients carried by agricultural runoff, the need to assess runoff risk at the field scale continues to grow in importance.
Chanse M. Ford +8 more
doaj +1 more source
Dynamic Simulations of Manufacturing Processes: Hybrid-Evolving Technique
Metals, 2021 Hybrid physical-data-driven modeling techniques have steadily been developed to address the multi-scale and multi-physical aspects of dynamic process simulations.
Amir M. Horr, Johannes Kronsteiner
doaj +1 more source
Modeling and enhanced control of hybrid full bridge–half bridge MMCs for HVDC grid studies [PDF]
, 2020 Modular multilevel converters (MMCs) are expected to play an important role in future high voltage direct current (HVDC) grids. Moreover, advanced MMC topologies may include various submodule (SM) types. In this sense, the modeling of MMCs is paramount
Forner, Jaume, Vidal-Albalate, Ricardo
core +1 more source