Showing 201 - 220 of 2,865

201

Scaling Deep Learning-Based Analysis of High-Resolution Satellite Imagery with Distributed Processing
Jiaxin Li ; Mai H. Nguyen ; Jessica Block ; et al.
2019 IEEE International Conference on Big Data (Big Data). :5437-5443

0211 other engineering a... 0202 electrical engineer... 02 engineering and techn... 15. Life on land
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202

Scikit-learn: Machine Learning in Python
Pedregosa, Fabian ; Varoquaux, Gaël ; Gramfort, Alexandre ; et al.
Journal of Machine Learning Research (2011)

Computer Science - Learn... Computer Science - Mathe...
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203

Mango: A Python Library for Parallel Hyperparameter Tuning
Mani Srivastava ; Igor Fedorov ; Mohit Aggarwal ; et al.
ICASSP 2020 - 2020 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP). :3987-3991

FOS: Computer and inform... Computer Science - Machi... Statistics - Machine Lea... 0202 electrical engineer... Machine Learning (stat.M... 02 engineering and techn...
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204

PyFitit: The software for quantitative analysis of XANES spectra using machine-learning algorithms
Martini, A. ; Guda, S.A. ; Guda, A.A. ; et al.
In Computer Physics Communications May 2020 250

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205

secml: A Python Library for Secure and Explainable Machine Learning
Pintor, Maura ; Demetrio, Luca ; Sotgiu, Angelo ; et al.

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206

Model-Oriented Training of Coordinators of the Decentralized Control System of Technological Facilities With Resource Interaction
Volodymyr M. Dubovoi ; Maria S. Yukhimchuk ; Viacheslav V. Kovtun ; et al.
IEEE Access, Vol 13, Pp 13414-13426 (2025)

collaborative federated... simulation model Machine learning Electrical engineering.... decentralized coordinati... distributed control syst...
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207

A Survey on Intrusion Detection System in Ad Hoc Networks Based on Machine Learning
Abbood, Zainab Ali ; Atilla, Dogu Cagdas ; Aydin, Cagatay ; et al.
2021 International Conference of Modern Trends in Information and Communication Technology Industry (MTICTI). :1-8

Support Vector Machine Monitoring MANET's MANET Network Surveys
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208

Advanced Python Performance Monitoring with Score-P
Gocht, Andreas ; Schöne, Robert ; Frenzel, Jan
Tools for High Performance Computing 2018 / 2019

Computer Science - Distr... Computer Science - Perfo... Computer Science - Softw...
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209

In-database distributed machine learning: demonstration using Teradata SQL engine
Sandeep Singh Sandha ; Wellington Cabrera ; Mohammed Al-Kateb ; et al.
Proceedings of the VLDB Endowment. 12:1854-1857

13. Climate action 4. Education 0202 electrical engineer... 14. Life underwater 02 engineering and techn... 15. Life on land
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210

EdgeAISim: A toolkit for simulation and modelling of AI models in edge computing environments
Aadharsh Roshan Nandhakumar ; Ayush Baranwal ; Priyanshukumar Choudhary ; et al.
Measurement: Sensors, Vol 31, Iss, Pp 100939-(2024)

FOS: Computer and inform... Artificial intelligence Toolkit EdgeAISim Edge computing Electric apparatus and m...
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211

iSpLib: A Library for Accelerating Graph Neural Networks using Auto-tuned Sparse Operations
Anik, Md Saidul Hoque ; Badhe, Pranav ; Gampa, Rohit ; et al.

Computer Science - Machi... Computer Science - Distr... Computer Science - Perfo...
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212

PyGim: An Efficient Graph Neural Network Library for Real Processing-In-Memory Architectures
Giannoula, Christina ; Yang, Peiming ; Fernandez, Ivan ; et al.

Computer Science - Hardw... Computer Science - Distr... Computer Science - Machi... Computer Science - Perfo...
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213

Modeling the interaction of virtual agents in distributed artificial intelligence systems
Oleksandr Pankratov ; Volodymyr Levytskyi
Sustainable Engineering and Innovation. 7:327-344

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214

Implementing Machine Learning in Java: A Study of Performance and Scalability Using Native Libraries
Shivaji Ware
International Journal for Research in Applied Science and Engineering Technology. 13:4778-4783

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215

Scalable Streaming Data at the Egde Using Deep Learning
P. Kamakshi Thai
INTERNATIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENT. :1-9

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216

An MPI-Based Python Framework for Distributed Training with Keras
Anderson, Dustin ; Vlimant, Jean-Roch ; Spiropulu, Maria ; et al.

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218

Machine learning for Earth sciences: using Python to solve geological problems: by Maurizio Petrelli, Switzerland AG, Springer Nature, 2023, xvi+209 pp., 352 figures, 61 table, €79.99 (Hardcover Book), ISBN: 9783031351136.
Oktavia Suhyani, Neli
International Geology Review; Jun2025, Vol. 67 Issue 12, p1635-1636, 2p

LASER ablation inductive... DEEP learning MACHINE learning ARTIFICIAL intelligence SUPERVISED learning DISTRIBUTED computing
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219

tvopt: A Python Framework for Time-Varying Optimization
Bastianello, Nicola

Computer Science - Mathe... Computer Science - Machi... Mathematics - Optimizati...
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220

pymgrid: An Open-Source Python Microgrid Simulator for Applied Artificial Intelligence Research
Henri, Gonzague ; Levent, Tanguy ; Halev, Avishai ; et al.

Computer Science - Artif... Computer Science - Machi...
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