• Suche: Python Machine Learning Case Studies

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221

Aplicación de técnicas de deep learning en la ayuda al diagnóstico de la enfermedad de Alzheimer
Abad Martín, Arancha ; Poza Crespo, Jesús ; Vaquerizo Villar, Fernando ; et al.

E-Ressource
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222

PyGlove: Symbolic Programming for Automated Machine Learning
Peng, Daiyi ; Dong, Xuanyi ; Real, Esteban ; et al.

Computer Science - Machi... Computer Science - Progr...
Report
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223

ADVANCES IN THE DESIGN AND OPTIMIZATION OF SMART IRRIGATION SYSTEMS FOR SUSTAINABLE URBAN VERTICAL FARMING
Kuanysh Bakirov ; Jamalbek Tussupov ; Tamara Tultabayeva ; et al.
Scientific Journal of Astana IT University, Pp 76-90 (2024)

smart irrigation systems crop yield optimization machine learning water management Information technology sustainable urban agricu... …
Fachzeitschrift
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224

Feedback Neural Network Based Orbital Trajectory Prediction
Senra, Filipe Miguel Santa Maria ; Bousson, Kouamana ; uBibliorum
urn:tid:203462572

Deep Learning Filtro de Kalman Filtro de Kalman Extendi... Long Shortterm Memory Machine Learning Mecânica Orbital …
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225

Data Analytics and Machine Learning Applications in Fermentation Processes and Molecular Property Prediction
Nguyen, Xuan Dung ; Chemical Engineering ; Liu, Yih-An ; et al.

machine learning multivariate statistics fermentation
Dissertation
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227

A General Hybrid Modeling Framework for Systems Biology Applications: Combining Mechanistic Knowledge with Deep Neural Networks under the SBML Standard.
Pinto, José ; Ramos, João R. C. ; Costa, Rafael S. ; et al.
AI. Mar2023, Vol. 4 Issue 1, p303-318. 16p.

ARTIFICIAL neural networ... DEEP learning SYSTEMS biology MACHINE learning HYBRID systems MOMENTS method (Statisti...
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228

Mixed-Integer Optimization with Constraint Learning
Donato Maragno ; Holly Wiberg ; Dimitris Bertsimas ; et al.
Operations Research. 73:1011-1028

FOS: Computer and inform... Computer Science - Machi... Statistics - Machine Lea... Optimization and Control... FOS: Mathematics 0211 other engineering a... …
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229

$\texttt{immrax}$: A Parallelizable and Differentiable Toolbox for Interval Analysis and Mixed Monotone Reachability in JAX
Harapanahalli, Akash ; Jafarpour, Saber ; Coogan, Samuel

Electrical Engineering a... Computer Science - Machi... Mathematics - Optimizati...
Report
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230

Leveraging Python for Predictive Maintenance in Medical Equipment
Prayag Ganoje
PROGRESS IN MEDICAL SCIENCES. :1-3

Fachzeitschrift
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231

PODPAC: open-source Python software for enabling harmonized, plug-and-play processing of disparate earth observation data sets and seamless transition onto the serverless cloud by earth scientists
Massachusetts Institute of Technology. Department of Civil and Environmental Engineering ; Ueckermann, Mattheus P ; Bieszczad, Jerry ; et al.
Springer Berlin Heidelberg

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232

Sensitivity analysis for interpretation of machine learning based segmentation models in cardiac MRI
Markus J. Ankenbrand ; Liliia Shainberg ; Michael Hock ; et al.
BMC Medical Imaging, Vol 21, Iss 1, Pp 1-8 (2021)

Deep learning Neural networks Cardiac magnetic resonan... Sensitivity analysis Transformations Augmentation …
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233

Differentiable Quantum Programming with Unbounded Loops.
Fang, Wang ; Ying, Mingsheng ; Wu, Xiaodi
ACM Transactions on Software Engineering & Methodology; Jan2024, Vol. 33 Issue 1, p1-63, 63p

AUTOMATIC differentiatio... QUANTUM computing PROGRAMMING languages QUANTUM computers MACHINE learning
Fachzeitschrift
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234

Intelligent Data: Revolutionizing Analytics with AI and Python
Murali Krishna Pasupuleti ; Murali Krishna Pasupuleti

Buch
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237

Co-optimization of Demand Response Aggregators and distribution system operator for resilient operation using machine learning based wind generation forecasting: A bilevel approach
Farid Hamzeh Aghdam ; Aleksandr Zavodovski ; Adeleye Adetunji ; et al.
International Journal of Electrical Power & Energy Systems, Vol 164, Iss , Pp 110399- (2025)

Demand Response Aggregat... Resilience Day-ahead operation Consumer participation Bilevel optimization Long short-term memory …
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238

VISTA-SSM: Varying and irregular sampling time-series analysis via state-space models.
Brindle, Benjamin ; Hull, Thomas Derrick ; Malgaroli, Matteo ; et al.
Psychol Methods

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239

Optimized Design of ΣΔ$\Sigma \Delta$ Modulators Using Deep‐Learning and Simulated Annealing
Gustavo Liñán‐Cembrano ; José M. de la Rosa
Electronics Letters. 61

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240

Control of a Three-Phase Grid-Connected Voltage-Sourced Converter Using Long Short-Term Memory Networks.
Ghidewon-Abay, Sengal ; Mehrizi-Sani, Ali
Energies (19961073). Jan2023, Vol. 16 Issue 1, p453. 16p.

DEEP learning ROBUST control ELECTRON tube grids MACHINE learning ELECTRIC potential
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