There is another system called Mir- rorSpace which uses multiscale communication and which would have been interesting to describe, however there will not be enough space in this paper to do so.Mariusz Wisniewski
Those commonly used multi-scale images provide the sources from macro to micro information and can be served as basic analysis platform in landslide monitoring and land use classification. Taiwan has a unique and vulnerable geological condition with potential disasters easily triggered by landslide ...
Land-use scene classification using multi-scale completed local binary patterns[J]. Signal Image & Video Processing, 2015.Chen, C., Zhang, B., Su, H., Li, W., Wang, L.: Land-use scene classification using multi-scale completed local binary patterns. Signal Image Video Process. 10(4),...
habitat usejuniperJuniperus occidentalismule deermultiscaleOdocoileus hemionusOregonroadswinter rangeTechnical report to the Oregon Fish and Wildlife Commission describing results from an individual-based population model used to assess population viability of wolves in Oregon....
WFS are used in different ratios such as 20%, 25% and 30% and also several investigations were carried out to determine the compressive strength, elastic modulus and Poisson's ratio with the help of the Bazant鈥揃aweja (B3 model) using multiscale modeling at each level, American Concrete ...
Organizations use plans for urban development, not simply as something to be implemented, but as tools to organize their own thinking, shape discussion, communicate aspirations and commitments, test ideas, and justify claims within and outside the organization. We use a cluster of decisions that oc...
A Python tool for processing GDAS (Global Data Assimilation System) data for use with the CMAQ (Community Multiscale Air Quality) modeling system. - noaa-oar-arl/gdas-cmaqprep
Electricity consumption Land use High-performance prediction model Interpretable machine learning Multi scale spatial characterization 1. Introduction Electricity is intrinsically linked to global economic development, technological progress, human wellbeing, national security, and climate change. According to the...
Understanding the environmental and anthropogenic factors influencing habitat selection of multiple species is a foundation for quantifying human impacts o
then using skills to enhanced model training speed and predicting performance with least artificial participation. The methods we use involve lite pre-training models such as Albert-small or Electra-small with financial corpus, knowledge of distillation and multi-stage learning. The result is that we...