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Transportation research. Part C, Emerging technologies, ISSN 0968-090X, 2016, Volume 65, pp. 172 - 189
•Propose a novel spatial–temporal demand coverage location approach.•Consider the time issue in both demand representation and location model.•Solve the spatial... 
Facility location | Spatial–temporal demand | Big data | Electric vehicle | Maximum coverage | DESIGN | TRANSPORTATION | MODEL | HEURISTIC APPROACH | GIS | TRANSPORTATION SCIENCE & TECHNOLOGY | OPTIMIZATION | INFORMATION-SYSTEMS | Spatial-temporal demand | Battery chargers | Analysis | Electric vehicles | Emissions (Pollution) | Demand | Stations | Charging | Transportation | Emission analysis | China | Carbon | Optimization
Journal Article
Procedia Engineering, ISSN 1877-7058, 2016, Volume 149, pp. 169 - 176
.... In this study we consider two classic location models, the p-median and maximal coverage location, and compare their performances... 
Facility Problem | p-Median | Maximal Coverage | Location Problem | Maximal coverage | Facility problem | Location problem | P-Median
Journal Article
2019, Advances in Spatial Science, ISBN 9783319998459, 276
This book provides a thoughtful and rigorous guide to coverage modeling, reviewing essential models, solution approaches, and related applications. 
Land settlement patterns | Economics | Public Policy | Landscape/Regional and Urban Planning | Operations Research, Management Science | Public Administration | Regional/Spatial Science | Geographical Information Systems/Cartography
eBook
Transportation research. Part C, Emerging technologies, ISSN 0968-090X, 2019, Volume 99, pp. 1 - 18
•Novel MIP model to locate facilities and assign drones and customers to facilities.•MIP constrained by the number and capacity of facilities and drones... 
UAV | Greedy and decomposition heuristics | Range and capacity constraints | Energy | Maximum coverage facility location | Drones | LOGISTICS | NETWORKS | ALGORITHMS | DELIVERY | TRAVELING SALESMAN PROBLEM | MODELS | UNMANNED AERIAL VEHICLES | TRANSPORTATION SCIENCE & TECHNOLOGY | OPTIMIZATION
Journal Article
PloS one, ISSN 1932-6203, 2017, Volume 12, Issue 7, p. e0181524
Journal Article
Information processing letters, ISSN 0020-0190, 1999, Volume 70, Issue 1, pp. 39 - 45
The budgeted maximum coverage problem is: given a collection S of sets with associated costs defined over a domain of weighted elements, and a budget L, find... 
Performance guarantee | Maximum coverage problem | Algorithms | DISCRETIONARY SERVICE FACILITIES | LOCATION | performance guarantee | COMPUTER SCIENCE, INFORMATION SYSTEMS | algorithms | maximum coverage problem
Journal Article
Journal of modern optics, ISSN 1362-3044, 2016, Volume 63, Issue 16, pp. 1618 - 1629
The histogram equalization process is a simple yet efficient image contrast enhancement technique that generally produces satisfactory results. However, due to... 
maximum occupancy histogram bins | recursive weighted histogram equalization | Image contrast enhancement | Maximum occupancy histogram bins | Recursive weighted histogram equalization | OPTICS | Optics | Vision systems | Algorithms | Artifacts | Histograms | Weighting | Viewing | Images | Equalization | Image enhancement | Image contrast
Journal Article
Chemical engineering research & design, ISSN 0263-8762, 2019, Volume 148, pp. 164 - 168
Journal Article
Discrete Applied Mathematics, ISSN 0166-218X, 09/2012, Volume 160, Issue 13-14, pp. 1901 - 1913
We study an online model for the maximum k-vertex-coverage problem, in which, given a graph G=(V,E) and an integer... 
Negative results | Maximum [formula omitted]-coverage | Graphs | Competitive ratio | Maximum k-coverage | MATHEMATICS, APPLIED | APPROXIMATION ALGORITHMS | Analysis | Algorithms | Computer Science
Journal Article
The Journal of the Operational Research Society, ISSN 1476-9360, 2017, Volume 62, Issue 4, pp. 627 - 637
Journal Article