• Suche: Active Machine Learning with Python

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121

Identifying AGN Host Galaxies by Machine Learning with HSC+WISE.
Chang, Yu-Yen ; Hsieh, Bau-Ching ; Wang, Wei-Hao ; et al.
Astrophysical Journal. 10/20/2021, Vol. 920 Issue 2, p1-11. 11p.

MACHINE learning GALAXIES ACTIVE galaxies ACTIVE galactic nuclei
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122

Metabolic profiling of Yangxinshi tablet based on time-staggered ion list dynamic detection integrated with metabolic molecular network
Wen, Jiake ; Wang, Xiaoyan ; Du, Kunze ; et al.
In Talanta 1 February 2026 298 Part A

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124

Using Incremental Worked Examples for Teaching Python and Game Programming.
Yang, Cheer-Sun D. ; Yu, Jonathan W.
Annual International Conference on Computer Science Education: Innovation & Technology. 2011, p14-19. 6p.

PYTHON programming langu... ACTIVE learning MACHINE learning COMPUTER science educati... COMPUTER game programmin... COMPUTER programming
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125

Hands-on learning with physics-informed neural networks: a new paradigm for differential equations.
Denq, Christopher ; Kong, Liang
International Journal of Mathematical Education in Science & Technology. Nov2025, p1-17. 17p. 10 Illustrations.

DIFFERENTIAL equations DEEP learning MATHEMATICAL models MACHINE learning ACTIVE learning PYTHON programming langu... …
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126

python-adaptive/adaptive: v1.3.1
Nijholt, Bas ; orcid:0000-0003-0383- ; Weston, Joseph ; et al.

adaptive-learning machine-learning python live-plots parallel-computing adaptive-sampling …
E-Ressource
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127

Improving Forest Detection Using Machine Learning and Remote Sensing: A Case Study in Southeastern Serbia.
Potić, Ivan ; Srdić, Zoran ; Vakanjac, Boris ; et al.
Applied Sciences (2076-3417); Jul2023, Vol. 13 Issue 14, p8289, 24p

SERBIA MACHINE learning REMOTE sensing MULTISPECTRAL imaging DISTANCE education VEGETATION monitoring …
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128

Enhancing Cyber Situational Awareness Through Dynamic Adaptive Symbology: The DASS Framework.
Macrino, Nicholas ; Pallas Enguita, Sergio ; Chen, Chung-Hao
Sensors (14248220). Oct2025, Vol. 25 Issue 20, p6300. 13p.

CYBER intelligence (Comp... MACHINE learning RISK assessment SOFTWARE frameworks COGNITIVE load EMBLEMS
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129

DeepAL: Deep Active Learning in Python
Huang, Kuan-Hao ; Huang, Kuan-Hao

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130

Análisis numérico de métodos de control activo aeroelástico ; Numerical analysis of aeroelastic active control methods ; Anàlisi numèric de mètodes de control actiu aeroelàstic
Navarro García, Luis ; Quintero Igeño, Pedro Manuel ; Departamento de Máquinas y Motores Térmicos ; et al.

east=-0.3385591506958008 north=39.47851033527168 name=FMH6+CH València Espanya Inteligencia Artificial Aprendizaje Automático …
Dissertation
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131

An adaptive framework for predicting breast cancer at an early stage
Sharma, Deepti ; Kumar, Rajneesh ; Jain, Anurag
In Measurement: Sensors December 2023 30

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132

BSMArt: Simple and fast parameter space scans
Goodsell, Mark D. ; Joury, Ari
In Computer Physics Communications April 2024 297

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133

Tutorial para el reconocimiento de objetos basado en características empleando herramientas Python
Víctor González-Castro ; David Matilla ; Mhd Wesam Al-Nabki ; et al.
RUC. Repositorio da Universidade da Coruña
instname
Universidade da Coruña (UDC)
RIUMA. Repositorio Institucional de la Universidad de Málaga
Universidad de Málaga

Artificial intelligence Cybersecurity Image classification Tor Object recognition 02 engineering and techn... …
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134

Pytakt: a Python library for symbolic music description, generation, and real-time processing
Nishimura, Satoshi ; Marui, Atsushi
Journal of New Music Research. :1-17

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135

Analysis and Deployment of an OCR—SSD Deep Learning Technique for Real-Time Active Car Tracking and Positioning on a Quadrotor
Luiz Gustavo Miranda Pinto ; Tales Cleber Pimenta ; Alexandre C. B. Ramos ; et al.
Transactions on Computer Systems and Networks ISBN: 9789811616808

Buch
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136

Optimal control of HVAC systems through active disturbance rejection control-assisted reinforcement learning.
Cui, Can ; Xue, Jiahui ; Liu, Lanjun
Energy. May2025, Vol. 323, pN.PAG-N.PAG. 1p.

MACHINE learning INDOOR air quality THERMAL comfort AIR flow ENERGY consumption
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137

Qumín : from a bundle of scripts to a scientific toolkit
Beniamine, Sacha ; Bouton, Jules ; Surrey Morphology Group, University of Surrey ; et al.
Journées scientifiques du réseau thématique LIFT2 - linguistique informatique, formelle et de terrain, Oct 2025, Paris, France

Paris, France python software development good practices quantitative morphology ingéniérie logicielle …
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138

Large language model guided automated reaction pathway exploration.
Chen, Ruzhao ; Liu, Yubang ; Chen, Zhe ; et al.
Communications Chemistry; 8/24/2025, Vol. 8 Issue 1, p1-14, 14p

QUANTUM mechanics CATALYSTS CHEMICAL reactions MACHINE learning QUANTITATIVE research LANGUAGE models
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139

Application of Machine Learning Techniques to an Agent-Based Model of Pantoea
Serena H. Chen ; Pablo Londoño‐Larrea ; A. Stephen McGough ; et al.
Front Microbiol
Frontiers in Microbiology, Vol 12 (2021)

Artificial neural networ... 0301 basic medicine Artificial intelligence neural network Flexibility (engineering... Population …
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140

An artificial intelligence course for chemical engineers
Wu, Min ; Di Caprio, Ulderico ; Vermeire, Florence ; et al.
In Education for Chemical Engineers October 2023 45:141-150

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