• Suche: Building Machine Learning Systems with Python

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241

A system for airport weather forecasting based on circular regression trees
Rozas Larraondo, Pablo ; Inza, Iñaki ; Lozano, Jose A.
In Environmental Modelling and Software February 2018 100:24-32

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242

Exploring Anomaly Detection in Building Automation Through Machine Learning Techniques
Lyttbacka, Robin

Intelligenta system fi=Automaatiotekniikka|s... machine learning automation building automation automation systems …
Dissertation
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243

IOT based fire and traffic density detection using AI based drone.
Narahari, Sujatha Canavoy ; Polaboina, Uday Raj ; Rishika, K. ; et al.
AIP Conference Proceedings; 3/27/2024, Vol. 2966 Issue 1, p1-11, 11p

ARTIFICIAL intelligence TRAFFIC density MACHINE learning COMMERCIAL drones TRAFFIC monitoring CONVOLUTIONAL neural net... …
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244

Research on simulation teaching of multi-warehouse robot path planning in smart factories. (English)
HUANG Jie ; ZHAN Weijie ; PAN Congjie ; et al.
Experimental Technology & Management; Nov2024, Vol. 41 Issue 11, p100-108, 9p

WAREHOUSES ROBOTIC path planning DEEP reinforcement learn... REINFORCEMENT learning INDUSTRIAL robots MACHINE learning
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245

Explainable machine learning prediction of ICU mortality
Chia, Alvin Har Teck ; Khoo, May Sze ; Lim, Andy Zhengyi ; et al.
In Informatics in Medicine Unlocked 2021 25

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246

Application of machine learning in cement price prediction through a web-based system
Adedeji Olushola Afolabi ; Oluwamayowa Abimbola

Big data Cement prices Construction industry Machine learning Web-based system
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247

Machine learning optimization model for reducing the electricity loads in residential energy forecasting.
Wang, Bo ; Wang, Xiaokang ; Wang, Ning ; et al.
Sustainable Computing: Informatics & Systems. Apr2023, Vol. 38, pN.PAG-N.PAG. 1p.

Machine learning Deep learning Metaheuristic algorithms Reactive power Electricity Intelligent buildings
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248

Building extensible frameworks for data processing: The case of MDP, Modular toolkit for Data Processing
Wilbert, Niko ; Zito, Tiziano ; Schuppner, Rike-Benjamin ; et al.
In Journal of Computational Science September 2013 4(5):345-351

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249

An AutoML-driven Antenna Performance Prediction Model in the Autonomous Driving Radar Manufacturing Process.
So-Hyang Bak ; Kwanghoon Pio Kim
KSII Transactions on Internet & Information Systems. Dec2023, Vol. 17 Issue 12, p3330-3344. 15p.

Antennas (Electronics) Tracking radar Manufacturing processes Autonomous vehicles Prediction models Radar …
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250

Deep Learning for Early Detection of Systemic Risk in Interconnected Financial Markets: A U.S. Regulatory Perspective
MD ASHRAFUL ALAM ; Mohammad Kowshik Alam ; Md Asief Mahmud
Journal of Computer Science and Technology Studies; Vol. 7 No. 9; 353-375 ; 2709-104X

Artificial Intelligence... Early Warning System (EW... Financial Crises Forecas... Systemic Risk Detection Macroprudential Supervis...
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251

Deep CNN-based concrete cracks identification and quantification using image processing techniques
Gonthina, Madhuri ; Chamata, Renuka ; Duppalapudi, Jhanshi ; et al.
Asian Journal of Civil Engineering: Building and Housing. :1-14

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252

Geomstats: a python package for riemannian geometry in machine learning
Miolane, N ; Guigui, N ; Le Brigant, A ; et al.
9 ; 1

Science & Technology Technology Automation & Control Sys... Computer Science Artificial Intelligence differential geometry …
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253

Operational Benchmarking of ML Models for Fraud Detection: A Comparative Study on AWS EC2 and ECS
Lucas Benevides E Braga ; Rodrigo Marins Piaba
IEEE Access, Vol 13, Pp 179010-179025 (2025)

AWS EC2 AWS ECS Fargate real-time machine learni... latency and throughput m... machine learning deploym... containerized inference …
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254

Fuzz4All: Universal Fuzzing with Large Language Models
Xia, Chunqiu Steven ; Paltenghi, Matteo ; Tian, Jia Le ; et al.
ICSE 2024: Proceedings of the IEEE/ACM 46th International Conference on Software Engineering

Computer Science - Softw... Computer Science - Machi...
Report
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255

Gradient Boosting pro modelování procesů v systémech chytrých budov ; Gradient Boosting for process modeling in smart building systems
Adéla Čekalová ; Oswald Cyril ; Široký Jan

gradient boosting machine learning ensemble algoritmy rozhodovací stromy chytré budovy spotřeba energie …
Dissertation
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256

Can Machine Learning Tools Support the Identification of Sustainable Design Leads From Product Reviews? Opportunities and Challenges
Saidani, Michael ; Kim, Harrison ; Yannou, Bernard ; et al.
ASME 2021 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference, Aug 2021, Virtual, United States. ⟨10.1115/DETC2021-70613⟩

Virtual, United States sustainable design data-driven design machine learning natural language process... product reviews …
Konferenz
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257

Bioimage Data Analysis Workflows ‒ Advanced Components and Methods
Miura, Kota ; Sladoje, Nataša

Analyzing Image Data in... Building a Bioimage Anal... Computational Analysis Chosing the Correct Comp... Data Handling and Plotti... Deep Learning …
E-Book
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258

Hierarchical clustering of complex energy systems using pretopology
Levy, Loup-Noe ; Bosom, Jeremie ; Guerard, Guillaume ; et al.

Machine Learning Artificial Intelligence
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259

Flood damage cost prediction using random forest.
Azahari, Ainul Najwa ; Sabri, Norlina Mohd
ESTEEM. Mar2024, Vol. 20, p12-23. 12p.

TERENGGANU MALAYSIA FLOOD damage RANDOM forest algorithms PYTHON programming langu... FLOOD forecasting …
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260

FeNNol: an Efficient and Flexible Library for Building Force-field-enhanced Neural Network Potentials
Plé, Thomas ; Adjoua, Olivier ; Lagardère, Louis ; et al.
The Journal of Chemical Physics. 161(4):042502-042502

Neural networks Molecular dynamics Force fields [CHIM.THEO]Chemical Scie... Theoretical and or physical chemistry …
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