:: Library Catalog

Cover Image

Saved in:

Bibliographic Details
Main Author:	Universitat Politècnica de València
Format:	Recurso digital
Language:
Published:	Zenodo 2025
Online Access:	https://doi.org/10.5281/zenodo.17991677
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Synthetic datasets for Make - Job Shop Scheduling Problem Jobs-Machines with Machine Calendars / Discrete Event Simulation
by: Universitat Politècnica de València
Published: (2025)

Synthetic datasets for Make - Generalized Assignment with Polyvalence and Difficulty Problem / Mathematical Programming / Base Model
by: Universitat Politècnica de València
Published: (2025)

D4.1. FAULT TOLERANT CONTROL OF SIC/GAN POWER CONVERTERS
by: Universitat Politècnica de Catalunya
Published: (2025)

EGAL-I Glossary
by: Universität Hamburg
Published: (2026)

Die universität zwischen revolution und reform : jahresbericht ber das rektoratsjahr 1968 / 1969 der Ruprecht-Karl-Universität Heidelberg / Kurt Baldinger
by: Universität Heidelberg
Published: (1968)

V Jornada de Criminologia «Les violències en l’àmbit familiar. Intervenció del sistema penal»
by: Universitat Oberta de Catalunya
Published: (2015)

Zwischen Knochenflöte und Datenwolke: Einführung in Theorie und Praxis der Medienkunst
by: Bauhaus-Universität Weimar
Published: (2025)

STAR4BBS D4.3 Report on the testing and ranking_Supplementary Material 13
by: Technische Universität Berlin
Published: (2025)

scRNA-seq and bulk RNA-seq of PBMC
by: Ludwig-Maximilians-Universität München
Published: (2025)

VET Council of Terrassa Letter of Institutional Support
by: Humboldt-Universität zu Berlin
Published: (2026)

Pedagogías queer: práctica educativa crítica y afirmativa
by: Universität Duisburg-Essen, Alemania
Published: (2023)

Unemployment Dynamics Forecasting with Machine Learning Regression Models
by: Kim, Kyungsu
Published: (2025)

Forecasting Labor Demand: Predicting JOLT Job Openings using Deep Learning Model
by: Kim, Kyungsu
Published: (2025)

Daily Residential Natural Gas Demand Forecasting Using Machine Learning Regression: Comparative Evaluation With a Case Study in Qazvin Province, Iran
by: Ali Pirzad, et al.
Published: (2026)

Forecasting Residential Heating and Electricity Demand with Scalable, High-Resolution, Open-Source Models
by: Lee, Stephen J., et al.
Published: (2025)

A Demand Forecasting Model Leveraging Machine Learning to Decode Customer Preferences for New Fashion Products
by: S. Anitha, et al.
Published: (2024)

A Comprehensive Machine Learning Framework for Micromobility Demand Prediction
by: Porat, Omri, et al.
Published: (2025)

AI-Powered Predictive Analytics for Retail Demand Forecasting
by: Vivek Prasanna Prabu
Published: (2023)

Assessing and strenghtening human-tech collaboration
by: Trinity College Dublin, et al.
Published: (2025)

Application-Driven Learning: A Closed-Loop Prediction and Optimization Approach Applied to Dynamic Reserves and Demand Forecasting
by: Garcia, Joaquim Dias, et al.
Published: (2021)

If It's Not Enough, Make It So: Reducing Authentic Data Demand in Face Recognition through Synthetic Faces
by: Atzori, Andrea, et al.
Published: (2024)

Predicting Machining Stability with a Quantum Regression Model
by: Mücke, Sascha, et al.
Published: (2024)

Machine Learning-based Regional Cooling Demand Prediction with Optimised Dataset Partitioning
by: Zhang, Meng, et al.
Published: (2025)

Enhancing Uncertain Demand Prediction in Hospitals Using Simple and Advanced Machine Learning
by: Hu, Annie, et al.
Published: (2024)

A Scalable and Transferable Time Series Prediction Framework for Demand Forecasting
by: Park, Young-Jin, et al.
Published: (2024)

Prediction of Job Burnout in Nurses Based on the Job Demands‐Resources Model: An Explainable Machine Learning Approach
by: Yue Zeng, et al.
Published: (2025)

Using Multivariate Linear Regression for Biochemical Oxygen Demand Prediction in Waste Water
by: Mutai, Isaiah K., et al.
Published: (2022)

Tagungsband 84. Jahrestagung der Deutschen Geophysikalischen Gesellschaft
by: Deutsche Geophysikalische Gesellschaft e.V., et al.
Published: (2024)

Studying the Role of Synthetic Data for Machine Learning-based Wireless Networks Traffic Forecasting
by: Pulido, José, et al.
Published: (2026)

Defects and Inconsistencies in Solar Flare Data Sources: Implications for Machine Learning Forecasting
by: Hu, Ke, et al.
Published: (2025)

Hierarchical Neural Additive Models for Interpretable Demand Forecasts
by: Feddersen, Leif, et al.
Published: (2024)

The Perverse Incentives of Climate Integration: Why Researchers Can't Deliver What Funding Institutions Demand
by: Eric B. Winsberg
Published: (2025)

Comparative Analysis of Regression and Classification‐Based Deep Learning and Machine Learning Models for Soil Erodibility Prediction
by: Kemal Adem, et al.
Published: (2026)

Calibration Meets Reality: Making Machine Learning Predictions Trustworthy
by: Sinaga, Kristina P., et al.
Published: (2025)

Predicting Electric Vehicle Charging Demand in Residential Areas Using POI Data and Decision‐Making Model
by: Huahao Zhou, et al.
Published: (2024)

Forecasting VIX using Bayesian Deep Learning
by: Hortúa, Héctor J., et al.
Published: (2024)

On Electric Vehicle Energy Demand Forecasting and the Effect of Federated Learning
by: Tritsarolis, Andreas, et al.
Published: (2026)

Synthetic Regressing Control
by: Zhu, Rong J. B.
Published: (2023)

Exploring Quantum Neural Networks for Demand Forecasting
by: de Jesus, Gleydson Fernandes, et al.
Published: (2024)

When Machine Learning Models Leak: An Exploration of Synthetic Training Data
by: Slokom, Manel, et al.
Published: (2023)