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Row |
Code |
Title |
Year |
Code |
Field |
XML |
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1676 |
6450 |
Optimization of Load-less Fleet spatial Distribution using Genetic Algorithm |
0 |
khu-cv-ths-172-18969 |
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0 Time(s) |
1677 |
6452 |
Comparison of multi-objective routing using genetic algorithm and group genetic algorithm (study area, Tehran) |
0 |
khu-cv-ths-172-18971 |
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0 Time(s) |
1678 |
6473 |
Data maining pattern trip travelers using Voluntary spatial information (VGI) (Case Study: Tehran City) |
0 |
khu-cv-ths-172-18992 |
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0 Time(s) |
1679 |
6479 |
Evaluate the combination of BIM and GIS technologies in fire and rescue service management |
0 |
khu-cv-ths-172-18999 |
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0 Time(s) |
1680 |
6481 |
Evaluation of indicators Semantic accuracy, Attribute accuracy, and OSM Street Network Completeness using data history |
0 |
khu-cv-ths-172-19001 |
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0 Time(s) |
1681 |
6483 |
GameGIS designed to teach the duties of a city manager in emergency situations caused by the crisis. |
0 |
khu-cv-ths-181-19571 |
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0 Time(s) |
1682 |
6485 |
Evaluation of resilience of urban environment against natural hazards with emphasis on earthquake using GIS spatial analysis and fuzzy model (Case study: Mashhad; regions 9, 2, 1 and 11) |
0 |
khu-cv-ths-172-40837 |
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0 Time(s) |
1683 |
6486 |
Evaluation of resilience of urban environment against natural hazards with emphasis on earthquake using GIS spatial analysis and fuzzy model (Case study of Mashhad, regions 1, 2, 9 and 11) |
0 |
khu-cv-ths-172-41012 |
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0 Time(s) |
1684 |
6489 |
Detect Missing Built-up Areas using deep learning to increase the completeness of OSM data |
0 |
khu-cv-ths-172-41359 |
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0 Time(s) |
1685 |
6493 |
Identification and evaluation of spatial cognition parameters
in addressing |
0 |
khu-cv-ths-172-45131 |
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0 Time(s) |
1686 |
6495 |
A comparative study on statistical and artificial intelligence approaches for potential of landslide zonation , a case study for Tehran province. |
0 |
khu-cv-ths-172-45540 |
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0 Time(s) |
1687 |
6497 |
Spatial zoning of the quality of life in urban neighborhoods using fuzzy model (study area: Districts no 5 and 6 of Mashhad, Iran) |
0 |
khu-cv-ths-172-45944 |
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0 Time(s) |
1688 |
6501 |
detection and positioning in oblique photographs using deep neural networks |
0 |
khu-cv-ths-172-48211 |
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0 Time(s) |
1689 |
6508 |
Evaluate methods to increase the accuracy of deep learning in urban growth modeling(case study: Isfahan city) |
0 |
khu-cv-ths-172-59904 |
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0 Time(s) |
1690 |
6509 |
Measurement of streets subsidence rate in district 18 of Tehran using InSAR technique |
0 |
khu-cv-ths-172-59905 |
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0 Time(s) |
1691 |
6510 |
Assessing the completeness of osm land use Artificial Neural Networks( Case Study South of karaj) |
0 |
khu-cv-ths-172-60414 |
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0 Time(s) |
1692 |
6511 |
Assessment of urban services accessibility using OSM POIs |
0 |
khu-cv-ths-172-60415 |
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0 Time(s) |
1693 |
6513 |
Comparing the performance of random forest algorithms, support vector machine and artificial neural network in the classification of UAV images |
0 |
khu-cv-ths-172-60417 |
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0 Time(s) |
1694 |
6514 |
Temporal and spatial modeling of Zagros forest fires using ConvLSTM Neural Networks (Study area: Marivan city) |
0 |
khu-cv-ths-172-60418 |
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0 Time(s) |
1695 |
6516 |
Optimization, hyperparameters, deep neural network, solar panels, Kabul province |
0 |
khu-cv-ths-172-60928 |
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0 Time(s) |
1696 |
6518 |
Modeling the Impact of Road Geometric Elements on the Road Pavement Condition |
0 |
khu-cv-ths-172-64020 |
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0 Time(s) |
1697 |
6519 |
Comparison of the Random Forest and Support Vector Machine Methods’ Accuracy Deriving Flood Susceptibility Map (Case Study: Haraz Watershed, Mazandaran, Iran)39 |
0 |
khu-cv-ths-172-64021 |
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0 Time(s) |
1698 |
6521 |
Comparison of support vector machine, random forest and logistics matrix in landslide risk zoning (Study area: Mahabad_Sardasht road) |
0 |
khu-cv-ths-172-64023 |
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0 Time(s) |
1699 |
6526 |
Flood dis charge forcast using artificial intelligence (lstm).(in the study area of keshkan River In lorestan provinc) |
0 |
khu-cv-ths-172-69373 |
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0 Time(s) |
1700 |
6528 |
Evaluation of capsule networks in vehicle detetction |
0 |
khu-cv-ths-172-69695 |
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0 Time(s) |
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