:: Library Catalog

Cover Image

Saved in:

Bibliographic Details
Main Author:	Heidi, Sherpherd
Format:	Recurso digital
Language:
Published:	Zenodo 2026
Online Access:	https://doi.org/10.5281/zenodo.18261614
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Towards Robust Ferrous Scrap Material Classification with Deep Learning and Conformal Prediction
by: Santos, Paulo Henrique dos, et al.
Published: (2024)

Google play Scrapping - Digital Bank in Indonesia
by: Sutadi, RR. Reeha Poja Sri
Published: (2026)

Catalytic Processes for the Production of Automotive Gasoline
Published: (2024)

Signal Processing Challenges in Automotive Radar
by: Rao, Sandeep, et al.
Published: (2025)

High‐Temperature Melt Stamping of Polymers Using Polymer/Nanoporous Gold Composite Stamps
by: Ruža Periz, et al.
Published: (2024)

Using Zero‐Valent Scrap Iron to Replace Dissolved Iron in the Fenton Process for Degradation of Phenol in Coke‐Oven Wastewater
by: Rachna Garg, et al.
Published: (2026)

A Dry‐Mechanical Approach for Scrap Recycling of Dry‐Processed Lithium Ion Battery Cathodes
by: Maike Michelle Gnutzmann, et al.
Published: (2025)

Stamp notes
by: NA
Published: (1999)

Stamps and Mathematics
by: Ivanova, Nataliya M.
Published: (2024)

StampFormer: A Physics-Guided Material-Geometry-Coupled Multimodal Model for Rapid Prediction of Physical Fields in Sheet Metal Stamping
by: Luo, Jiajie, et al.
Published: (2026)

Automating a Complete Software Test Process Using LLMs: An Automotive Case Study
by: Wang, Shuai, et al.
Published: (2025)

Detection and Classification of Oscillations in Process Control Loops Using Deep Learning Techniques
by: Vijoy Akavalappil, et al.
Published: (2025)

Building Stamp Scan
by: falce003
Published: (2016)

Iterative Model-Learning Scheme via Gaussian Processes for Nonlinear Model Predictive Control of (Semi-)Batch Processes
by: Tan, Tai Xuan, et al.
Published: (2026)

High-Dimensional Statistical Process Control via Manifold Fitting and Learning
by: Tas, Burak I., et al.
Published: (2025)

Scraps of Hope in Banda Aceh
by: Jauhola, Marjaana
Published: (2021)

A Tutorial on Gaussian Process Learning-based Model Predictive Control
by: Wang, Jie, et al.
Published: (2024)

Improved Iterative Learning Model Predictive Control for Nonlinear Batch Processes
by: Chengyu Zhou, et al.
Published: (2024)

Predicting Maximum Permitted Process Forces for Object Grasping and Manipulation Using a Deep Learning Regression Model
by: Wucherer, S., et al.
Published: (2024)

Statistical Control of Software Process: A Systematic Review
by: Bibiana Y. Garcés
Published: (2014)

Optimising Kernel-based Multivariate Statistical Process Control
by: Duma, Zina-Sabrina, et al.
Published: (2025)

Modeling and Statistical Characterization of Large-Scale Automotive Radar Networks
by: Shah, Mohammad Taha, et al.
Published: (2024)

Temperature Control of Digital Glass Forming Processes
by: Tiwari, Balark, et al.
Published: (2026)

Open Stamped Parts Dataset
by: Antiles, Sarah, et al.
Published: (2024)

The Representation of Science and Scientists on Stamps
by: B. Yardley, Christopher
Published: (2015)

Online Learning of Interaction Dynamics with Dual Model Predictive Control for Multi-Agent Systems Using Gaussian Processes
by: Baltussen, T. M. J. T., et al.
Published: (2024)

Deep Learning, Machine Learning -- Digital Signal and Image Processing: From Theory to Application
by: Hsieh, Weiche, et al.
Published: (2024)

Scrap Your Schedules with PopDescent
by: Pomalapally, Abhinav, et al.
Published: (2023)

KENYA: 2024 Finance Bill Scrapped
Published: (2024)

Finance and economics. Scrapping over the pieces
Published: (2002)

Recycling Scraps: Improving Private Learning by Leveraging Intermediate Checkpoints
by: Shejwalkar, Virat, et al.
Published: (2022)

Using Diffusion Models for Reducing Spatiotemporal Errors of Deep Learning Based Urban Microclimate Predictions at Post-Processing Stage
by: Tahmasebi, Sepehrdad, et al.
Published: (2025)

Learning Quantum Processes with Quantum Statistical Queries
by: Wadhwa, Chirag, et al.
Published: (2023)

Quasi-Periodic Gaussian Process Predictive Iterative Learning Control
by: Nigam, Unnati, et al.
Published: (2026)

Fast Explicit Machine Learning-Based Model Predictive Control of Nonlinear Processes Using Input Convex Neural Networks
by: Wang, Wenlong, et al.
Published: (2024)

Efficient Deep Reinforcement Learning with Predictive Processing Proximal Policy Optimization
by: Küçükoğlu, Burcu, et al.
Published: (2022)

Hybrid Statistical Process Monitoring of Wire Arc Additive Manufacturing With Frequency‐Informed Deep Learning
by: Giulio Mattera, et al.
Published: (2025)

Optimizing the Songwriting Process: Genre-Based Lyric Generation Using Deep Learning Models
by: Cai, Tracy, et al.
Published: (2024)

Learning Paradigms and Modelling Methodologies for Digital Twins in Process Industry
by: Mayr, Michael, et al.
Published: (2024)

Prediction of Final Phosphorus Content of Steel in a Scrap-Based Electric Arc Furnace Using Artificial Neural Networks
by: Azzaz, Riadh, et al.
Published: (2024)