Výsledky vyhledávání - "Scientific Computing and Data Analysis with Python"

Baryon acoustic scale at zeff = 0.166 with the SDSS blue galaxies

Autoři: Felipe Avila E. de Carvalho Armando Bernui a další

Zdroj: Monthly Notices of the Royal Astronomical Society. 529:4980-4992

Témata: Cosmology and Nongalactic Astrophysics (astro-ph.CO), Scale (ratio), Physics, Astronomy, FOS: Physical sciences, Astronomy and Astrophysics, Astrophysics, Baryon, Quantum mechanics, Radio Astronomy Techniques and Instruments, Red shift, Galaxy, Physics and Astronomy, Artificial Intelligence, 13. Climate action, Physical Sciences, Computer Science, Observation and Study of Gravitational Waves Phenomenon, Scientific Computing and Data Analysis with Python, Astrophysics - Cosmology and Nongalactic Astrophysics

Přístupová URL adresa: http://arxiv.org/abs/2404.00747

Intelligent computing knacks for infected media and time delay impacts on dynamical behaviors and control measures of rumor-spreading model

Autoři: Muhammad Asif Zahoor Raja Adeeba Haider Kottakkaran Sooppy Nisar a další

Zdroj: AIMS Biophysics, Vol 11, Iss 1, Pp 1-17 (2024)

Témata: Artificial neural network, 0301 basic medicine, Artificial intelligence, Public relations, QH301-705.5, Computer Networks and Communications, FOS: Political science, Statistical Physics of Opinion Dynamics, Bounded Confidence, Backpropagation, Dissemination, Rumor, 7. Clean energy, bayesian regularization method, 03 medical and health sciences, neural networks backpropagation, Artificial Intelligence, Machine learning, Regularization (linguistics), rumors spread model, Biology (General), Political science, 0303 health sciences, Statistical and Nonlinear Physics, Computer science, Physics and Astronomy, Physical Sciences, Computer Science, Network Intrusion Detection and Defense Mechanisms, Telecommunications, regression, Scientific Computing and Data Analysis with Python, TP248.13-248.65, Biotechnology

Přístupová URL adresa: https://doaj.org/article/93b578e19bc54eec8876e3221fdca2f9

Impacts of hydroclimate change on climate-resilient agriculture at the river basin management

Autoři: Chiranjit Singha Satiprasad Sahoo Ajit Govind a další

Zdroj: Journal of Water and Climate Change, Vol 15, Iss 1, Pp 209-232 (2024)

Témata: Water resources, Precipitation, hydroclimatic change, Oceanography, Environmental technology. Sanitary engineering, 01 natural sciences, 7. Clean energy, Climate change, climate-resilient agriculture, GE1-350, TD1-1066, Climatology, 2. Zero hunger, Evapotranspiration, Geography, Ecology, Physics, Hydrology (agriculture), Geology, Condensed matter physics, Surface runoff, Structural basin, 6. Clean water, Anomaly (physics), Earth and Planetary Sciences, climate change, Physical Sciences, Cartography, Hydrological Modeling, Drainage basin, Climate Change, agricultural adaptability, Climate model, Environmental science, Meteorology, Artificial Intelligence, Global Sea Level Variability and Change, Biology, 0105 earth and related environmental sciences, Solar Physics and Space Weather, Paleontology, Astronomy and Astrophysics, food security, FOS: Earth and related environmental sciences, 15. Life on land, Environmental sciences, Geotechnical engineering, Physics and Astronomy, 13. Climate action, FOS: Biological sciences, Computer Science, Scientific Computing and Data Analysis with Python

Přístupová URL adresa: https://doaj.org/article/6b5240c5c43545a4831589a888a6203a

Flood Endangered Area Classification Using the K-Nearest Neighbour Algorithm

Autoři: Oghenevovwero Zion Apene JohnPaul A.C. Hampo Clement O. Ogeh a další

Zdroj: European Journal of Theoretical and Applied Sciences. 1:1051-1061

Témata: Analytics, Artificial intelligence, Environmental Engineering, Rainfall-Runoff Modeling, 0207 environmental engineering, Urban Flooding, Flood Risk, 02 engineering and technology, Endangered species, Global Flood Risk Assessment and Management, Big data, Hydrological Modeling using Machine Learning Methods, Artificial Intelligence, Machine learning, 11. Sustainability, 0202 electrical engineering, electronic engineering, information engineering, Nearest neighbour, 14. Life underwater, Data mining, Biology, Global and Planetary Change, Geography, Ecology, FOS: Environmental engineering, Groundwater Level Forecasting, Statistical classification, Flood myth, 15. Life on land, Computer science, 6. Clean water, Habitat, Archaeology, 13. Climate action, FOS: Biological sciences, Environmental Science, Physical Sciences, Computer Science, Scientific Computing and Data Analysis with Python, Classifier (UML), k-nearest neighbors algorithm, Flood Inundation Modeling

A topic-aware classifier based on a hybrid quantum-classical model

Autoři: Maha A. Metawei Mohamed Taher Hesham Eldeeb a další

Zdroj: Neural Computing and Applications. 35:18803-18812

Témata: 0301 basic medicine, Quantum Computation, Artificial intelligence, Materials Science, 01 natural sciences, Speedup, Quantum mechanics, 7. Clean energy, Quantum, Quantum entanglement, 03 medical and health sciences, Theoretical computer science, Artificial Intelligence, Quantum Computing and Simulation, 0103 physical sciences, Materials Chemistry, Quantum Machine Learning, Fault-tolerant Quantum Computation, Accelerating Materials Innovation through Informatics, Physics, Ansatz, Computer science, Language model, Topological Quantum Memory, Algorithm, Operating system, Quantum Simulation, Computer Science, Physical Sciences, Quantum algorithm, Scientific Computing and Data Analysis with Python, Quantum machine learning

Agujeros Negros

Autoři: Gustavo Dotti

Zdroj: Cadernos de Astronomia. 4:67-77

Témata: Physics, FOS: Humanities, FOS: Earth and related environmental sciences, Oceanography, FOS: Philosophy, ethics and religion, Earth and Planetary Sciences, Humanities, Philosophy, Artificial Intelligence, Computer Science, Physical Sciences, Scientific Computing and Data Analysis with Python, Global Sea Level Variability and Change, Art

Latent Space Model for Higher-Order Networks and Generalized Tensor Decomposition

Autoři: Zhongyuan Lyu Xueyi Dong Yuan Zhang

Zdroj: Journal of Computational and Graphical Statistics. 32:1320-1336

Témata: FOS: Computer and information sciences, Computer Science - Machine Learning, Tensor Decompositions and Applications in Multilinear Algebra, Tensor (intrinsic definition), Economics, Hypergraph networks, Organic chemistry, Mathematics - Statistics Theory, Statistics Theory (math.ST), Space (punctuation), 01 natural sciences, Machine Learning (cs.LG), Methodology (stat.ME), Artificial Intelligence, FOS: Mathematics, 0101 mathematics, Statistics - Methodology, Order (exchange), Decomposition, Pure mathematics, Applied mathematics, Computer science, Computational Mathematics, Chemistry, Operating system, Tensor decomposition, Computer Science, Physical Sciences, Scientific Computing and Data Analysis with Python, Mathematics, Finance

Přístupová URL adresa: http://arxiv.org/abs/2106.16042

A Novel Mixed Precision Distributed TPU GAN for Accelerated Learning Curve

Autoři: Aswathy Ravikumar Harini Sriraman

Zdroj: Computer Systems Science and Engineering. 46:563-578

Témata: Artificial neural network, Parallel computing, Tensor Decompositions and Applications in Multilinear Algebra, Artificial intelligence, Discriminator, MNIST database, 02 engineering and technology, Speedup, 7. Clean energy, Deep Learning, Stochastic gradient descent, Artificial Intelligence, Machine learning, FOS: Mathematics, 0202 electrical engineering, electronic engineering, information engineering, Neural Network Architectures, 2. Zero hunger, Deep learning, Detector, Scientific Computing, 15. Life on land, Computer science, Algorithm, Computational Mathematics, Computer Science, Physical Sciences, Computation, Telecommunications, Deep Learning in Computer Vision and Image Recognition, Scientific Computing and Data Analysis with Python, Computer Vision and Pattern Recognition, Mathematics

Topographic Controls on Pyroclastic Density Current Hazard at Aluto Volcano (Ethiopia) Identified Using a Novel Zero‐Censored Gaussian Process Emulator

Autoři: Pablo Tierz Elaine Spiller B F Clarke a další

Přispěvatelé: Pablo Tierz Elaine Spiller B F Clarke a další

Zdroj: Digital.CSIC. Repositorio Institucional del CSIC
Consejo Superior de Investigaciones Científicas (CSIC)

Témata: Atmospheric Science, Surrogate modeling, Organic chemistry, Oceanography, 01 natural sciences, Quantum mechanics, Pyroclastic rock, Aluto volcano, Artificial Intelligence, Current (fluid), Volcano, Uncertainty quantification, Seismology, 0105 earth and related environmental sciences, Seismic Activity Monitoring, Physics, Zero (linguistics), Geology, Linguistics, FOS: Earth and related environmental sciences, Volcanic hazard assessment, Numerical Weather Prediction Models, Study of Earthquake Precursor Phenomena, Computer science, Process (computing), FOS: Philosophy, ethics and religion, Earth and Planetary Sciences, Chemistry, Philosophy, Operating system, Geophysics, 13. Climate action, Computer Science, Physical Sciences, Gaussian, FOS: Languages and literature, Scientific Computing and Data Analysis with Python, Pyroclastic density currents, Hazard

Přístupová URL adresa: http://hdl.handle.net/10261/366326
http://nora.nerc.ac.uk/id/eprint/537477/

Artificial Intelligence Approaches for Studying the pp Interactions at High Energy Using Adaptive Neuro-Fuzzy Interface System

Autoři: D. M. Habashy M. Y. El-Bakry El‐Sayed A. El‐Dahshan a další

Zdroj: Artificial Intelligence ISBN: 9781803561431

Témata: Artificial neural network, Artificial intelligence, Inference system, Statistics, Paleontology, Statistical and Nonlinear Physics, Variational Inference, Adaptive neuro fuzzy inference system, Computer science, Estimator, Gaussian Processes in Machine Learning, Fuzzy logic, Neuro-fuzzy, Context (archaeology), Physics and Astronomy, Fuzzy control system, Artificial Intelligence, Statistical Mechanics with Long-Range Interactions and Nonextensivity, Computer Science, Physical Sciences, Machine learning, FOS: Mathematics, Scientific Computing and Data Analysis with Python, Biology, Mathematics

Přístupová URL adresa: https://mts.intechopen.com/articles/show/title/artificial-intelligence-approaches-for-studying-the-pp-interactions-at-high-energy-using-adaptive-ne

An explicit expression of generating function for one-loop tensor reduction

Autoři: Chang Hu Tingfei Li Julie Shen a další

Zdroj: Journal of High Energy Physics, Vol 2024, Iss 2, Pp 1-46 (2024)
Journal of High Energy Physics

Témata: High Energy Physics - Theory, Tensor Decompositions and Applications in Multilinear Algebra, Nuclear and High Energy Physics, Tensor (intrinsic definition), FOS: Physical sciences, Geometry, Field Theories in Higher Dimensions, Evolutionary biology, QC770-798, 01 natural sciences, High Energy Physics - Phenomenology (hep-ph), Artificial Intelligence, Nuclear and particle physics. Atomic energy. Radioactivity, 0103 physical sciences, FOS: Mathematics, Scattering Amplitudes, Biology, Expression (computer science), Quantum electrodynamics, Physics, Particle physics, Pure mathematics, Holographic Derivation of Field Theories and Gravity, Computer science, Programming language, High Energy Physics - Phenomenology, Computational Mathematics, High Energy Physics - Theory (hep-th), Physics and Astronomy, Function (biology), Combinatorics, Mathematical physics, Physical Sciences, Computer Science, Tensor Decomposition, Higher-Order Perturbative Calculations, Nonnegative Tensor Factorization, Scientific Computing and Data Analysis with Python, Reduction (mathematics), Loop (graph theory), Theoretical physics, Mathematics

Přístupová URL adresa: http://arxiv.org/abs/2308.13336
https://doaj.org/article/84802a0337a8422aa12dfc07a2841eb6

Analytical and Theoretical Gravity Statistics

Autoři: Fabiana Liria Thyara Vintimilla Jadira Estefanía Vinueza

Zdroj: Athenea. :30-43

Témata: FOS: Mechanical engineering, Pendulum Motion, Set (abstract data type), Epistemology, Oceanography, Experimental Tools, Geodetic Measurements, Pendulum, Engineering, Artificial Intelligence, Innovative Methods in Physics Education, FOS: Mathematics, Global Sea Level Variability and Change, 4. Education, Statistics, Dimensional Analysis, Statistical and Nonlinear Physics, Geology, FOS: Earth and related environmental sciences, Computer science, Mechanical engineering, FOS: Philosophy, ethics and religion, Programming language, Earth and Planetary Sciences, Philosophy, Physics and Astronomy, Statistical analysis, Physical Sciences, Computer Science, Simple (philosophy), Friction Experiments, Scientific Computing and Data Analysis with Python, Mathematics, Geodesy

Induced Natural Language Rationales and Interleaved Markup Tokens Enable Extrapolation in Large Language Models

Autoři: Mirelle Candida Bueno Carlos Gemmell Jeff Dalton a další

Zdroj: Proceedings of the 1st Workshop on Mathematical Natural Language Processing (MathNLP). :17-24

Témata: FOS: Computer and information sciences, Syntax-based Translation Models, Neural Machine Translation, Artificial intelligence, Extrapolation, 02 engineering and technology, 01 natural sciences, Mathematical analysis, Quantum mechanics, Theoretical computer science, Artificial Intelligence, 0202 electrical engineering, electronic engineering, information engineering, FOS: Mathematics, Genetics, Biology, Markup language, 0105 earth and related environmental sciences, Natural Language Processing, Transformer, Computer network, Computer Science - Computation and Language, Topic Modeling, Statistical Modeling, Natural language processing, Physics, Voltage, Statistical Machine Translation and Natural Language Processing, XML, Computer science, Language model, Language Modeling, Programming language, Operating system, Security token, FOS: Biological sciences, Computer Science, Physical Sciences, Scientific Computing and Data Analysis with Python, Computation and Language (cs.CL), Mathematics, Sequence (biology)

Přístupová URL adresa: http://arxiv.org/abs/2208.11445

Assessment of Groundwater Yield Potentials Zones of Idi-Ayunre using Vertical Electrical Sounding and Geographic Information System (GIS)

Autoři: Magi F Fredrick Olajide A Temitayo Olajide O Adetayo

Zdroj: Physics Access, Vol 2, Iss 1, Pp 82-89 (2022)

Témata: Environmental Engineering, QC1-999, Groundwater Exploration, Oceanography, Depth sounding, Artificial Intelligence, Soil water, 11. Sustainability, basement complex, geographic information system, Geophysical Exploration and Monitoring Techniques, Groundwater, Bedrock, Soil science, 2. Zero hunger, aquifer, Vertical electrical sounding, vertical electrical sounding, Physics, Groundwater Potential, FOS: Environmental engineering, Geology, Geomorphology, FOS: Earth and related environmental sciences, Remote sensing, 15. Life on land, GIS, Topsoil, 16. Peace & justice, Mapping Groundwater Potential Zones Using GIS Techniques, 6. Clean water, Earth and Planetary Sciences, Geotechnical engineering, Geophysics, 13. Climate action, Physical Sciences, Computer Science, Environmental Science, Scientific Computing and Data Analysis with Python, Aquifer, Geographic information system, electrical resistivity

Přístupová URL adresa: https://doaj.org/article/64dc101b5150474d80ded2e170717d71

SModelS v2.3: Enabling global likelihood analyses

Autoři: Altakach, Mohammad Mahdi Kraml, Sabine Lessa, Andre a další

Přispěvatelé: Altakach, Mohammad Mahdi Kraml, Sabine Lessa, Andre a další

Zdroj: SciPost Physics, Vol 15, Iss 5, p 185 (2023)

Témata: Nuclear and High Energy Physics, QC1-999, Advancements in Particle Detector Technology, FOS: Physical sciences, 103012 High energy physics, 01 natural sciences, High Energy Physics - Experiment, search for, High Energy Physics - Experiment (hep-ex), High Energy Physics - Phenomenology (hep-ph), Artificial Intelligence, 0103 physical sciences, [PHYS.HEXP]Physics [physics]/High Energy Physics - Experiment [hep-ex], Electroweak interaction, Particle Physics and High-Energy Collider Experiments, new physics, Statistical Modeling, Physics, Particle physics, minimal supersymmetric standard model, Acoustics, Physics beyond the Standard Model, Computer science, High Energy Physics - Phenomenology, CERN LHC Coll, Physics and Astronomy, Large Hadron Collider, [PHYS.HPHE]Physics [physics]/High Energy Physics - Phenomenology [hep-ph], Physical Sciences, Computer Science, Scientific Computing and Data Analysis with Python, Reinterpretation, data management, 103012 Hochenergiephysik, experimental results

Popis souboru: application/pdf

Přístupová URL adresa: http://arxiv.org/abs/2306.17676
https://doaj.org/article/1eb3e55104084459baeb9069af76705a
https://ucrisportal.univie.ac.at/de/publications/09e0c0c9-0d23-402c-8441-c86f40846f37
https://doi.org/10.48550/arXiv.2306.17676
https://hdl.handle.net/11353/10.2071236
https://doi.org/10.21468/scipostphys.15.5.185
https://phaidra.univie.ac.at/o:2071236

Potential of the Julia Programming Language for High Energy Physics Computing

Autoři: Jonas Eschle Tamás Gál Mosè Giordano a další

Přispěvatelé: Jonas Eschle Tamás Gál Mosè Giordano a další

Zdroj: Computing and Software for Big Science. 7

Témata: FOS: Computer and information sciences, Parallel computing, J.2, Nuclear and High Energy Physics, Interface (matter), [PHYS.HEXP] Physics [physics]/High Energy Physics - Experiment [hep-ex], Computer Networks and Communications, Application programming interface, FOS: Physical sciences, Set (abstract data type), [INFO] Computer Science [cs], programming, 01 natural sciences, High Energy Physics - Experiment, High Energy Physics - Experiment (hep-ex), High Energy Physics - Phenomenology (hep-ph), Distributed Grid Computing Systems, Artificial Intelligence, 0103 physical sciences, Programming paradigm, Particle Physics and High-Energy Collider Experiments, High-Energy Collider, activity report, High-level programming language, Code (set theory), Bubble, Computer Science - Programming Languages, Software engineering, Python (programming language), Computational Physics (physics.comp-ph), Scientific Computing, Computer science, Programming language, [PHYS.HPHE] Physics [physics]/High Energy Physics - Phenomenology [hep-ph], High Energy Physics - Phenomenology, High-Performance Computing, Physics and Astronomy, Physical Sciences, Computer Science, interface, Scientific Computing and Data Analysis with Python, First-generation programming language, Maximum bubble pressure method, Physics - Computational Physics, performance, Programming Languages (cs.PL)

Přístupová URL adresa: http://arxiv.org/abs/2306.03675

Observations for Improving SEP Forecasts and Warnings

Autoři: J. Burkepile I. G. Richardson S. W. Kahler a další

Zdroj: Bulletin of the AAS.

Témata: Artificial Intelligence, 13. Climate action, Statistical Modeling, Computer Science, Physical Sciences, Scientific Computing and Data Analysis with Python, Scientific Computing, Computer science, 7. Clean energy, Environmental science, Visualization

Scale-free network reveals relations between quantum computing and Barrow entropy

Autoři: M. Bousder Z. Sakhi

Témata: Artificial intelligence, Quantum Nonlocality, Physics, Foundations of Quantum Mechanics and Interpretations, Statistical and Nonlinear Physics, Discrete mathematics, Computer science, Quantum mechanics, Atomic and Molecular Physics, and Optics, Quantum, Quantum entanglement, Principle of maximum entropy, Physics and Astronomy, Artificial Intelligence, Innovative Methods in Physics Education, Physical Sciences, Computer Science, FOS: Mathematics, Farey sequence, Entropy (arrow of time), Scientific Computing and Data Analysis with Python, Statistical physics, Conditional entropy, Mathematics

MISUSE OF ADVANCED SATELLITE TECHNOLOGY TO ACCELERATE MAN-MADE FLASH FLOODS

Autoři: Md. Rahimullah Miah Md. Mehedi Hasan Jorin Tasnim Parisha a další

Zdroj: International Journal of Research -GRANTHAALAYAH. 11

Témata: 0301 basic medicine, Atmospheric Science, Flash flood, Urban Flooding, 7. Clean energy, 03 medical and health sciences, Global Flood Risk Assessment and Management, Meteorology, Artificial Intelligence, Computer security, Global Positioning System, 11. Sustainability, 0303 health sciences, Global and Planetary Change, Tropical Cyclone Intensity and Climate Change, Phone, Geography, 9. Industry and infrastructure, 4. Education, Linguistics, Flood myth, 15. Life on land, 16. Peace & justice, Computer science, 6. Clean water, FOS: Philosophy, ethics and religion, 3. Good health, Earth and Planetary Sciences, Philosophy, Archaeology, 13. Climate action, Environmental Science, Physical Sciences, Computer Science, Telecommunications, FOS: Languages and literature, Scientific Computing and Data Analysis with Python

ASSESSMENT OF CROP YIELD AND RAINFALL SIMULATION IN NASARAWA TOWN NASARAWA STATE NIGERIA

Autoři: Magaji J.I Ibrahim Sufiyan K. D. Mohammed

Zdroj: Journal CleanWAS. 4:75-78

Témata: FOS: Computer and information sciences, Development of Multimedia Learning Systems, Agricultural engineering, Yield (engineering), 02 engineering and technology, Crop, 01 natural sciences, Environmental science, Engineering, Artificial Intelligence, 11. Sustainability, FOS: Mathematics, Learning, Crop yield, 0204 chemical engineering, Biology, 0105 earth and related environmental sciences, 2. Zero hunger, Geography, Mathematical economics, Unit (ring theory), 1. No poverty, Forestry, 15. Life on land, 16. Peace & justice, Simulation modeling, Agronomy, Materials science, Mathematics education, 13. Climate action, Computer Science, Physical Sciences, Metallurgy, 8. Economic growth, Scientific Computing and Data Analysis with Python, Mathematics, Information Systems

Přístupová URL adresa: https://ideas.repec.org/a/zib/jclnws/v4y2020i2p75-78.html