Drinking water accessibility typologies in low- and middle-income countries
We present a data-driven typology framework for understanding patterns in drinking water accessibility across low- and middle-income countries. Further, we obtain novel typology-specific insights regarding the relationships between possible explanatory ...
Hichul Chung, Emily Kumpel, Jimi Oke
doaj +1 more source
Analysis of key university leadership factors based on their international rankings (QS World University Rankings and Times Higher Education) [PDF]
In the context of globalization of the educational services market, competition between universities is becoming more intense. This manifests itself, among other things, in the struggle for positions in international university rankings.
Maxim Polyakov +3 more
doaj +1 more source
Overlapping Multi-hop Clustering for Wireless Sensor Networks [PDF]
Clustering is a standard approach for achieving efficient and scalable performance in wireless sensor networks. Traditionally, clustering algorithms aim at generating a number of disjoint clusters that satisfy some criteria. In this paper, we formulate a
Younis, Mohamed +2 more
core +1 more source
Word Sense Clustering and Clusterability [PDF]
Word sense disambiguation and the related field of automated word sense induction traditionally assume that the occurrences of a lemma can be partitioned into senses. But this seems to be a much easier task for some lemmas than others. Our work builds on recent work that proposes describing word meaning in a graded fashion rather than through a strict
Mccarthy, Diana +2 more
openaire +3 more sources
Simulating burn severity maps at 30 meters in two forested regions in California
Climate change is altering wildfire and vegetation regimes in California’s forested ecosystems. Present day fires are seeing an increase in high burn severity area and high severity patch size.
Jonathan A Sam +7 more
doaj +1 more source
Hybridization between deep learning algorithms and neutrosophic theory in medical image processing: A survey [PDF]
Deep learning can successfully extract data features based on dealing greatly with nonlinear problems. Deep learning has the highest performance in medical image analysis and diagnosis.
N.N. Mostafa, K. Ahmed, I. El-Henawy
doaj +1 more source
Investigating the relationship between human capital and household dimension with ICA method [PDF]
In the theory of human capital, which conceptually includes the two main components of knowledge acquisition and skills acquisition, the household and its characteristics -household dimensions-are considered as an important factor.According to importance
Zahra Nasrolaho +2 more
doaj +1 more source
Deconvolute individual genomes from metagenome sequences through short read clustering. [PDF]
Metagenome assembly from short next-generation sequencing data is a challenging process due to its large scale and computational complexity. Clustering short reads by species before assembly offers a unique opportunity for parallel downstream assembly of
Deng, Li +5 more
core
Clusters of galaxies are the most recently assembled, massive, bound structures in the Universe. As predicted by General Relativity, given their masses, clusters strongly deform space-time in their vicinity. Clusters act as some of the most powerful gravitational lenses in the Universe.
Kneib, Jean-Paul, Natarajan, Priyamvada
openaire +3 more sources
UAV-Based Crowd Surveillance in Post COVID-19 Era
Since outdoor events are gradually allowed within the current pandemic situation, a close monitoring of the crowd activity is needed to avoid undesired contact and disease transmission. In this context, unmanned aerial vehicles (UAVs) can be occasionally
Nizar Masmoudi +4 more
doaj +1 more source

