Search Results - (((( code python gis algorithm ) OR ( _ neural 2 algorithm ))) OR ( _ general python algorithm )) :: K.UTB vyhledávací portál

Cadabra and Python algorithms in general relativity and cosmology II: Gravitational waves

by Castillo-Felisola, Oscar, Price, Dominic T., Scomparin, Mattia
Published in Computer physics communications (01.08.2023)

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An algorithm to reduce a river network or other graph-like polygon to a set of lines

by Schaefer, E.I., Pelletier, J.D.
Published in Computers & geosciences (01.12.2020)

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Quantitative X-ray Map Analyser (Q-XRMA): A new GIS-based statistical approach to Mineral Image Analysis

by Ortolano, Gaetano, Visalli, Roberto, Godard, Gaston, Cirrincione, Rosolino
Published in Computers & geosciences (01.06.2018)

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ArcOLITIRS: A Toolbox for Radiometric Calibration and Surface Temperature Estimation from Landsat 8 Products in ArcGIS Environment

by Arunachalam, M., Joshua, R. Melwyn, Kochuparampil, Ajith Joseph, Saravanavel, J.
Published in Journal of the Indian Society of Remote Sensing (01.03.2023)

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Learning geospatial analysis with Python : understand GIS fundamentals and perform remote sensing data analysis using Python 3.7

by Lawhead, Joel
Year of Publication 2019

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Solving Spatial Optimization Problems via Lagrangian Relaxation and Automatic Gradient Computation

by Lei, Zhen, Lei, Ting L.
Published in ISPRS international journal of geo-information (01.01.2025)

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Cadabra and python algorithms in general relativity and cosmology I: Generalities

Published in Revista Mexicana de Física E

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Learning Geospatial Analysis with Python (2nd Edition) - An Effective Guide to Geographic Information System and Remote Sensing Analysis Using Python 3

by Lawhead, Joel
Year of Publication 2015

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THE INFLUENCER PRICING PROGNOSTICATION ON SOCIAL MEDIA DYNAMICS AN ADVANCED EXAMINATION OF LINEAR REGRESSION 2 POLY DEGREE ALGORITHM & NEURAL NETWORK: AN ADVANCED EXAMINATION OF LINEAR REGRESSION 2 POLY DEGREE ALGORITHM & NEURAL NETWORK

by Canesta, Felicia, Rusdianto Roestam
Published in MUST (12.12.2024)

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Artificial Intelligence with Python Cookbook - Proven Recipes for Applying AI Algorithms and Deep Learning Techniques Using TensorFlow 2.x and PyTorch 1.6

by Kumar, Ritesh, Auffarth, Ben
Year of Publication 2020

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Design of Heuristic Algorithms for Hard Optimization: With Python Codes for the Travelling Salesman Problem

by Taillard, Eric D
Year of Publication 2023

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MEG and EEG data analysis with MNE-Python

by Gramfort, Alexandre
Published in Frontiers in neuroscience (26.12.2013)

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PyRates—A Python framework for rate-based neural simulations

by Gast, Richard, Rose, Daniel, Salomon, Christoph, Möller, Harald E., Weiskopf, Nikolaus, Knösche, Thomas R.
Published in PloS one (16.12.2019)

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PHOTONAI—A Python API for rapid machine learning model development

by Leenings, Ramona, Winter, Nils Ralf, Plagwitz, Lucas, Holstein, Vincent, Ernsting, Jan, Sarink, Kelvin, Fisch, Lukas, Steenweg, Jakob, Kleine-Vennekate, Leon, Gebker, Julian, Emden, Daniel, Grotegerd, Dominik, Opel, Nils, Risse, Benjamin, Jiang, Xiaoyi, Dannlowski, Udo, Hahn, Tim
Published in PloS one (21.07.2021)

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Cadabra and Python algorithms in General Relativity and Cosmology II: Gravitational Waves

by Castillo-Felisola, Oscar, Price, Dominic T, Scomparin, Mattia
Published in arXiv.org (30.09.2022)

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Python machine learning : machine learning and deep learning with Python, scikit-learn, and TensorFlow 2

by Raschka, Sebastian, Mirjalili, Vahid
Year of Publication 2019

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Cadabra and Python algorithms in General Relativity and Cosmology I: Generalities

by Castillo-Felisola, Oscar, Price, Dominic T, Scomparin, Mattia
Year of Publication 30.09.2022

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Analysis of tactile perceptions of textile materials using artificial intelligence techniques: Part 2: reverse engineering using genetic algorithm coupled neural network

by Karthikeyan, B., Sztandera, Les M.
Published in International journal of clothing science and technology (01.01.2010)

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Machine learning algorithms for predicting electrical load demand: an evaluation and comparison

by Goswami, Kakoli, Kandali, Aditya Bihar
Published in Sadhana (Bangalore) (25.01.2024)

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A New Approach Based on TensorFlow Deep Neural Networks with ADAM Optimizer and GIS for Spatial Prediction of Forest Fire Danger in Tropical Areas

by Truong, Tran Xuan, Nhu, Viet-Ha, Phuong, Doan Thi Nam, Nghi, Le Thanh, Hung, Nguyen Nhu, Hoa, Pham Viet, Bui, Dieu Tien
Published in Remote sensing (Basel, Switzerland) (01.07.2023)

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