Metropolitan areas in the world. Delineation and population trends
This paper presents a novel method to delineate metropolitan areas–or functional urban
areas (FUAs)–in the entire world and assesses their population trends. According to the …
areas (FUAs)–in the entire world and assesses their population trends. According to the …
Optimal conservation of migratory species
Background Migratory animals comprise a significant portion of biodiversity worldwide with
annual investment for their conservation exceeding several billion dollars. Designing …
annual investment for their conservation exceeding several billion dollars. Designing …
Multi-objective path planner for an agricultural mobile robot in a virtual greenhouse environment
Robotics in agriculture has experienced enormous development in the past decade. In order
to accomplish numerous agricultural tasks, the order in which the crop is covered is …
to accomplish numerous agricultural tasks, the order in which the crop is covered is …
BAHG: Back-bone-assisted hop greedy routing for VANET's city environments
Using advanced wireless local area network technologies, vehicular ad hoc networks
(VANETs) have become viable and valuable for their wide variety of novel applications, such …
(VANETs) have become viable and valuable for their wide variety of novel applications, such …
Assessing OpenStreetMap data using intrinsic quality indicators: an extension to the QGIS processing toolbox
OpenStreetMap (OSM) is a recent emerging area in computational science. There are
several unexplored issues in the quality assessment of OSM. Firstly, researchers are using …
several unexplored issues in the quality assessment of OSM. Firstly, researchers are using …
Leveraging statistical machine learning to address failure localization in optical networks
In this work we consider the problem of fault localization in transparent optical networks. We
attempt to localize single-link failures by utilizing statistical machine learning techniques …
attempt to localize single-link failures by utilizing statistical machine learning techniques …
Topographic path analysis for modelling dispersal and functional connectivity: Calculating topographic distances using the topoDistance r package
IJ Wang - Methods in Ecology and Evolution, 2020 - Wiley Online Library
Estimating biologically meaningful geographic distances is essential for research in
disciplines ranging from landscape genetics to community ecology. Topographically …
disciplines ranging from landscape genetics to community ecology. Topographically …
Computer stereo vision for autonomous driving
As an important component of autonomous systems, autonomous car perception has had a
big leap with recent advances in parallel computing architectures. With the use of tiny but full …
big leap with recent advances in parallel computing architectures. With the use of tiny but full …
Effects of fishing effort allocation scenarios on energy efficiency and profitability: an individual-based model applied to Danish fisheries
Global concerns about CO2 emissions, national CO2 quotas, and rising fuel prices are
incentives for the commercial fishing fleet industry to change their fishing practices and …
incentives for the commercial fishing fleet industry to change their fishing practices and …
Learning analytics to predict students' performance: A case study of a neurodidactics-based collaborative learning platform
In this work, 29 features were defined and implemented to be automatically extracted and
analysed in the context of NeuroK, a learning platform within the neurodidactics paradigm …
analysed in the context of NeuroK, a learning platform within the neurodidactics paradigm …