Results 31 to 40 of about 307 (108)

Deep Learning Based Mineral Dust Detection and Feature Selection

open access: yes, 2020
Dust storm affects human health and the environment. In this study, we develop deep learning models to identify dust from cloud and surface using MODIS observations and CALIPSO data.
Gangopadhyay, Aryya   +3 more
core   +1 more source

Mineral Dust Detection Using Satellite Data

open access: yes, 2020
Mineral dust, defined as aerosol originating from the soil, can have various harmful effects to the environment and human health. The detection of dust, and particularly incoming dust storms, may help prevent some of these negative impacts.
Wang, Jianwu   +4 more
core   +1 more source

Aspect Based Abusive Sentiment Detection in Nepali Social Media Texts

open access: yes, 2021
With the increase in internet access and the ease of writing comments in the Nepali language, fine-grained sentiment analysis of social media comments is becoming more and more pertinent.
Joshi, Anupam   +3 more
core   +1 more source

Stochastic Precipitation Generation for the Potomac River Basin Using Hidden Markov Models

open access: yes, 2020
A daily precipitation generator based on hidden Markov models (HMM) using satellite precipitation estimates is studied for the Potomac river basin in Eastern USA over the wet season months of July to September.
Kroiz, Gerson C.   +8 more
core   +1 more source

Evaluation of Data-Driven Causality Discovery Approaches among Dominant Climate Modes

open access: yes, 2019
Research Assistant: Pei Guo Faculty Mentor: Jianwu WangIdentification of causal networks in atmospheric teleconnection patterns has applications in many climate studies.
Wang, Jianwu   +5 more
core   +1 more source

Parallel Performance Studies for a Three-Species Application Problem on the Cluster tara

open access: yes, 2010
High performance parallel computing depends on the interaction of a number of factors including the processors, the architecture of the compute nodes, their interconnect network, and the numerical code.
Trott, David W., Gobbert, Matthias K.
core   +1 more source

Using Machine Learning Techniques for Supercell Tornado Prediction with Environmental Sounding Data

open access: yes, 2020
Tornadoes pose a forecast challenge to National Weather Service forecasters because of their quick development and potential for life-threatening damage.
Coffer, Brice   +5 more
core   +1 more source

Analysis and Prediction of 911 Calls based on Location using Spark Big Data Platform

open access: yes, 2019
Proper management of critical resources like Police Force and Ambulance Services is the key to establish peace quickly in times of crisis. When a police district receives a 911 call, quick response can be the difference between quiet handling and full ...
Pandey, Shruti   +3 more
core   +1 more source

A Parallel Performance Study of the High-order Compact Direct Flux Reconstruction Method for Conservation Laws on Maya Cluster

open access: yes, 2017
The compact direct flux reconstruction method (CDFR) for conservation laws utilizes techniques from compact finite difference methods to directly approximate spatial derivatives of fluxes within standard elements.
Wang, Lai   +2 more
core   +1 more source

A three-dimensional integrated hydrologic model of the Chesapeake Bay Watershed using High Performance Computing

open access: yes, 2023
Funding for this research was provided by NOAA Grant Number NA10OAR431220. The hardware used in the computational studies is part of the UMBC High Performance Computing Facility (HPCF). The facility is supported by the U.S.
Welty, Claire   +2 more
core   +1 more source

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