Treffer 41 - 60 von 436

42

From Geospatial Data to Insight: A Practical Guide to Machine Learning in Python for Real-World Problem-Solving
Assefa Senbato Genale ; Desalegn Aweke Wako ; Tsion Ayalew Dessalegn
Advances in Geospatial Technologies ISBN: 9798369363812

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43

Computing and Plotting Correlograms by Python and R Libraries for Correlation Analysis of the Environmental Data in Marine Geomorphology
Polina Lemenkova ; Lemenkova, Polina ; Universitätsbibliothek
Issue: 3 1-16
Jeomorfolojik Araştırmalar Dergisi
Journal of Geomorphological Researches

[SDU.STU.GM] Sciences of... submarine geomorphology Mariana Trench Pasific Ocean marine geology Python
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44

Rooftop-place suitability analysis for urban air mobility Hubs: A GIS and neural network approach
Delgado Gonzalez, Carlos Javier ; Silva, Joel Dinis Baptista Ferreira da ; Henriques, Roberto André Pereira ; et al.

Artificial Neural Networ... Catchment Area Census Block Cluster Driving Distance Electrical Vertical Take...
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45

SWDet: Anchor-Based Object Detector for Solid Waste Detection in Aerial Images
Liming Zhou ; Xiaohan Rao ; Yahui Li ; et al.
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol 16, Pp 306-320 (2023)

Artificial intelligence solid waste (SW) Pyramid (geometry) Geophysics. Cosmic physi... 02 engineering and techn... Pattern recognition (psy...
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46
47

GeoSight: An Open-Source library for Geospatial Analysis and Visualization
Hamed Vaseghnia ; Nestor Fernando Cardozo Diaz ; Enrico Riccardi

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48
49

Geospatial Analysis using Python and JupyterHub: Processing, analyzing, and visualizing geospatial data on a high performance GPU server
Martin Christen ; Kompetenzzentrum für nicht-textuelle Materialien

GPU Analytics Deep Learning Visualization Big Data Computer Science
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50

Introduction to Geospatial Data and Python Programming
D. Shanmugapriyaa ; M. Sujithra ; B. Senthilkumar ; et al.
Advances in Geospatial Technologies ISBN: 9798369317549

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51

Calculating slope gradient variations in the submarine landforms by R and Python statistical libraries
Polina Lemenkova ; Lemenkova, Polina ; Universitätsbibliothek
MANAS: Journal of Engineering, Vol 7, Iss 2, Pp 99-113 (2019)
Volume: 7, Issue: 2 99-113
MANAS Journal of Engineering

[SDE] Environmental Scie... [SDU.STU.GM] Sciences of... data analysis Mühendislik [INFO.INFO-GR] Computer... 01 natural sciences
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52
53

U-Net-Based Satellite Image Segmentation for Geospatial Applications
Savali Shigawan
INTERNATIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENT. :1-9

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54

Smart City Transportation Deep Learning Ensemble Approach for Traffic Accident Detection
Jangam Bhargavi ; Bharatha Ashwin ; Lavishetty Tagore ; et al.
International Scientific Journal of Engineering and Management. :1-11

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56

Developing an AI Tool for Forest Monitoring: Introducing SylvaMind AI
Keskes, Mohamed, I ; Nita, M, D ; Faculty of Silviculture and Forest Engineering, Transilvania University of Braşov, Şirul Ludwig van Beethoven 1, 500123 Braşov, Romania
Bulletin of the Transilvania University of Brasov. Series II: Forestry • Wood Industry • Agricultural Food Engineering. 17(66):39-54

Forest management artificial intelligence remote sensing multispectral Imagery Forest attribute [SDV.SA.SF]Life Sciences...
Zeitschrift
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58

Gathering predictors of biodiversity change and reconstructing land cover history in Central Apennines using machine learning and remote sensing data
Makine öğrenimi ve uzaktan algılama verilerini kullanarak Orta Apeninler'deki biyolojik çeşitlilikdeğişiminin tahmin edicilerini toplamak ve manzara geçmişini yeniden oluşturmak

Lemenkova, Polina ; Alma Mater Studiorum Università di Bologna = University of Bologna (UNIBO)
Journal of Anatolian Geography. 2(1):36-47

Artificial Neural Networ... Decision Tree Geospatial Data Ecology Random Forest GIS
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59

AI DATA ANALYTICS USING PYTHON
Dr. Sukesh Bhardwaj ; Dr. Ashish Bhardwaj ; Dr. Saroj Kumar Nanda ; et al.

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60

Processing oceanographic data by Python libraries NumPy, SciPy and Pandas
Lemenkova, Polina ; Ocean University of China (OUC)
Aquatic Research. 2(2):73-91

Data analysis Pandas Statistics NumPy SciPy Programming language
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