• Suche: Building Machine Learning Systems with Python

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121

Training Systems Using Python Statistical Modeling
Miller, Curtis ; Miller, Curtis ; Miller, Curtis ; et al.

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122

Remote Sensing Analysis of the LIDAR Drone Mapping System for Detecting Damages to Buildings, Roads, and Bridges Using the Faster CNN Method.
Meivel, S. ; Devi, K. Indira ; Subramanian, A. Sankara ; et al.
Journal of the Indian Society of Remote Sensing; Feb2025, Vol. 53 Issue 2, p327-343, 17p

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123

Interpretability of automated machine learning methods in psychological research: A tutorial with AutoGluon in Python.
Fu, Haojie ; Zhao, Xudong
Behavior Research Methods. Nov2025, Vol. 57 Issue 11, p1-16. 16p.

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124

A portable application framework for energy management and information systems (EMIS) solutions using Brick semantic schema
Chiosa, Roberto ; Piscitelli, Marco Savino ; Pritoni, Marco ; et al.
In Energy & Buildings 15 November 2024 323

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125

FlowTransformer: A flexible python framework for flow-based network data analysis
Manocchio, Liam Daly ; Layeghy, Siamak ; Portmann, Marius
In Software Impacts November 2024 22

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126

Automated data-driven modeling of building energy systems via machine learning algorithms.
Rätz, Martin ; Javadi, Amir Pasha ; Baranski, Marc ; et al.
Energy & Buildings. Nov2019, Vol. 202, pN.PAG-N.PAG. 1p.

MACHINE learning ENERGY consumption of bu... DATABASES PYTHON programming langu... COMPUTER science RESEARCH funding …
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127

TorchAudio: Building Blocks for Audio and Speech Processing
Yang, Yao-Yuan ; Hira, Moto ; Ni, Zhaoheng ; et al.

Electrical Engineering a... Computer Science - Sound
Report
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128

A simple and efficient machine-learning based approach for optimal heating control of radiant floor heating systems: Proposal and validation.
Liang, Xiguan ; Shim, Jisoo ; Song, Doosam
Building & Environment. Mar2025, Vol. 272, pN.PAG-N.PAG. 1p.

Thermal comfort Heating control Decision trees Machine learning Energy consumption Radiant heating
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129

Development of a decision-making module in the field of real estate rental using machine learning methods.
Mukhanova, Ayagoz ; Baitemirov, Madiyar ; Ignatovich, Artyom ; et al.
International Journal of Electrical & Computer Engineering (2088-8708); Oct2024, Vol. 14 Issue 5, p5430-5442, 13p

MACHINE learning DECISION support systems LINEAR systems REAL estate business DECISION making
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130

Hands-On Recommendation Systems with Python
Banik, Rounak ; Banik, Rounak ; Banik, Rounak ; et al.

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131

Machine Learning tool to prevent and control Bag Filter clogging.
Tancredi, Giovanni Paolo ; Vignali, Giuseppe
Procedia Computer Science. 2024, Vol. 232, p2358-2365. 8p.

Machine learning Python programming langu... Digital technology Machine tools Pressure drop (Fluid dyn... Air jets
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132

Advanced Energy Performance Modelling: Case Study of an Engineering and Technology Precinct.
Tahmasebinia, Faham ; Lin, Lin ; Wu, Shuo ; et al.
Buildings (2075-5309); Jun2024, Vol. 14 Issue 6, p1774, 47p

NEW South Wales AUSTRALIA BOOSTING algorithms BUILDING information mod... DIGITAL twin ENERGY management …
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133

Discovering repetitive code changes in python ML systems.
Dilhara, Malinda ; Ketkar, Ameya ; Sannidhi, Nikhith ; et al.
ICSE: International Conference on Software Engineering; 2022, p736-748, 13p

PYTHON programming langu... MACHINE learning ARTIFICIAL intelligence THEMATIC analysis LIBRARIES
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134

Home energy management systems regression models
Kochinski, Daniel Tiepolo ; Pereira, Ana I. ; Lima, José ; et al.
urn:tid:203436725

HEMS Machine learning Data Power systems Optimization Regression models …
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135

Machine learning-driven power demand forecasting models for optimized power management.
Wang, Xiaojun ; Wang, Linrong ; Liang, Nan
Electrical Engineering. Sep2025, Vol. 107 Issue 9, p12069-12094. 26p.

ELECTRIC power consumpti... ENERGY management BOOSTING algorithms LONG short-term memory ENERGY consumption RENEWABLE energy sources …
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136

Exploring the PV Power Forecasting at Building Façades Using Gradient Boosting Methods.
Polo, Jesús ; Martín-Chivelet, Nuria ; Alonso-Abella, Miguel ; et al.
Energies (19961073). Feb2023, Vol. 16 Issue 3, p1495. 12p.

RANDOM forest algorithms MACHINE learning BOOSTING algorithms FORECASTING MAXIMUM power point trac... ELECTRIC power distribut... …
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137

Data science prerequisites : Numpy, Matplotlib, and Pandas in Python
Data science: NumPy, Matplotlib, and Pandas in Python
Packt Publishing, publisher, production company. ; Lazy Programmer, speaker, author.

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138

MIScnn: A Framework for Medical Image Segmentation with Convolutional Neural Networks and Deep Learning
Müller, Dominik ; Kramer, Frank
M\"uller, D., Kramer, F. MIScnn: a framework for medical image segmentation with convolutional neural networks and deep learning. BMC Med Imaging 21, 12 (2021)

Electrical Engineering a... Computer Science - Compu... Computer Science - Machi... Computer Science - Neura...
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139

Free lunch for testing: fuzzing deep-learning libraries from open source.
Wei, Anjiang ; Deng, Yinlin ; Yang, Chenyuan ; et al.
ICSE: International Conference on Software Engineering; 2022, p995-1007, 13p

DEEP learning LIBRARIES PYTHON programming langu... OPEN source software FUZZY automata
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140

Compressive strength prediction and composition design of structural lightweight concretes using machine learning methods
Artemy S. Balykov ; Elena A. Kaledina ; Sergey V. Volodin
Нанотехнологии в строительстве, Vol 15, Iss 2, Pp 171-186 (2023)

lightweight concrete nanomodifier complex additive nanoparticle hollow microsphere compressive strength …
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