Search Results - Data-driven computational cost reduction

Quantifying uncertainty in complex automotive crashworthiness computational models : development of methodologies and implementation in VPS/Pamcrash

Authors: Rocas Alonso, Marc

Contributors: University/Department: Universitat Politècnica de Catalunya. Escola Tècnica Superior d'Enginyers de Camins, Canals i Ports de Barcelona

Thesis Advisors: Díez, Pedro, Larráyoz Izcara, Xabier, García González, Alberto

Source: TDX (Tesis Doctorals en Xarxa)

Subject Terms: Àrees temàtiques de la UPC::Enginyeria civil

Time: 621.3

File Description: application/pdf

Access URL: http://hdl.handle.net/10803/672337
https://dx.doi.org/10.5821/dissertation-2117-351116

Post-earthquake functional recovery and resilience of seismically isolated hospitals and large-scale building portfolios

Authors: Chavez Aguirre, Jean Piers Nicolas

Contributors: University/Department: Universitat Politècnica de Catalunya. Departament d'Enginyeria Civil i Ambiental

Thesis Advisors: López Almansa, Francisco, Murcia Delso, Juan

Source: TDX (Tesis Doctorals en Xarxa)

Subject Terms: Functional recovery, Earthquake engineering, Resilience, Artificial intelligence, Seismic isolation, Multi-objective optimization, Clustering, Probabilistic analysis, Machine learning, Hospital, Large-scale models, Àrees temàtiques de la UPC::Enginyeria civil, Àrees temàtiques de la UPC::Edificació, 624 - Enginyeria civil i de la construcció en general, 69 - Materials de construcció. Pràctiques i procediments de construcció

File Description: application/pdf

Access URL: http://hdl.handle.net/10803/695609
https://dx.doi.org/10.5821/dissertation-2117-444813

Machine learning-accelerated aerodynamic inverse design

Authors: Ahmad Shirvani Mahdi Nili-Ahmadabadi Man Yeong Ha

Source: Engineering Applications of Computational Fluid Mechanics, Vol 17, Iss 1 (2023)

Subject Terms: Machine learning, aerodynamic inverse design, data-driven acceleration, computational cost reduction, Engineering (General). Civil engineering (General), TA1-2040

File Description: electronic resource

Relation: https://doaj.org/toc/1994-2060; https://doaj.org/toc/1997-003X

Access URL: https://doaj.org/article/4ea2dd00f58349f0a7b9cc6cb5751c6f

Boosting the Artificial Intelligence solutions training phase by means of process simulation methods

Authors: Abió Rojo, Albert

Contributors: University/Department: Universitat de Barcelona. Departament de Matemàtiques i Informàtica

Thesis Advisors: Pujol Vila, Oriol, Bonada Bo, Francesc

Source: TDX (Tesis Doctorals en Xarxa)

Subject Terms: Aprenentatge automàtic, Aprendizaje automático, Machine learning, Intel·ligència artificial, Inteligencia artificial, Artificial intelligence, Innovacions tecnològiques, Innovaciones tecnológicas, Technological innovations, Estampació (Metal·listeria), Estampado (Metales), Metal stamping, Ciències Experimentals i Matemàtiques

File Description: application/pdf

Access URL: http://hdl.handle.net/10803/695375

Advanced physics-based and data-driven strategies

Authors: Ibáñez Pinillo, Rubén

Contributors: University/Department: Universitat Politècnica de Catalunya. Departament d'Enginyeria Civil i Ambiental

Thesis Advisors: Huerta, Antonio, Chinesta, Francisco

Source: TDX (Tesis Doctorals en Xarxa)

Subject Terms: Àrees temàtiques de la UPC::Enginyeria civil

File Description: application/pdf

Access URL: http://hdl.handle.net/10803/667472
https://dx.doi.org/10.5821/dissertation-2117-168566

Neural network design for data-driven prediction of target geometry for an aerodynamic inverse design algorithm.

Authors: Shirvani, Ahmad Nili-Ahmadabadi, Mahdi Ha, Man Yeong

Source: Journal of Mechanical Science & Technology. Aug2024, Vol. 38 Issue 8, p3899-3919. 21p.

Subject Terms: *FEEDFORWARD neural networks, *ARTIFICIAL intelligence, *MACHINE learning, *AEROFOILS, *GEOMETRY

Data Driven Dimensionality Reduction to Improve Modeling Performance✱

Authors: Chung, Joshua De Prado, Marcos Lopez Simon, Horst et al.

Subject Terms: Information and Computing Sciences, Artificial Intelligence, Machine Learning, Networking and Information Technology R&D (NITRD), Machine Learning and Artificial Intelligence, Clinical Research, Bioengineering, Dimensionality reduction, mean-decreased accuracy, feature selection, hyperparamters optimization

File Description: application/pdf

Access URL: https://escholarship.org/uc/item/0555v6rb
https://escholarship.org/content/qt0555v6rb/qt0555v6rb.pdf

Computational Cost Reduction Strategies for Business Cases.

Authors: Depari, Genesis Sembiring

Source: Iranian Journal of Management Studies; Jul2023, Vol. 16 Issue 3, p757-768, 12p

Subject Terms: BUSINESS planning, EVOLUTIONARY algorithms, FEATURE selection, OPERATING costs, MACHINE learning

Adaptive computational reduction framework for the unsteady aerodynamics of lifting surfaces

Authors: Pascarella, Gaetano Fossati, Marco Barrenechea, Gabriel

Contributors: Pascarella, Gaetano Fossati, Marco Barrenechea, Gabriel

Access URL: https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.842180

Fast Multipole Accelerated Unsteady Vortex Lattice Method Based Computations

Authors: Kebbie-Anthony, Abu Gumerov, Nail A. Preidikman, Sergio et al.

Source: Journal of Aerospace Information Systems. 16:237-248

Subject Terms: 0103 physical sciences, DYNAMIC DATA-DRIVEN APPLICATION SYSTEMS, FAST MULTIPOLE METHOD (FMM), UNSTEADY VORTEX LATTICE METHOD (UVLM), COMPUTATIONAL COST REDUCTION, UNSTEADY AERODYNAMIC SIMULATOR, 7. Clean energy, 01 natural sciences

File Description: application/pdf

Access URL: https://arc.aiaa.org/doi/10.2514/1.I010690
http://hdl.handle.net/11336/120915

Alternative methods for developmental toxicity testing: features, status and future directions.

Authors: Inho Hwang Eui-Bae Jeung

Source: Journal of Veterinary Science. Nov2025, Vol. 26 Issue 6, p1-17. 17p.

Predicting Extreme Environmental Values with Hybrid Models: A Perspective Across Air Quality, Wind Energy, and Sensor Networks.

Authors: Efthimiou, George

Source: Sensors (14248220); Nov2025, Vol. 25 Issue 21, p6523, 10p

Subject Terms: AIR quality, WIND power, ENVIRONMENTAL mapping, MEASUREMENT uncertainty (Statistics), DIGITAL twin, SENSOR networks, PREDICTION models, MACHINE learning

Computational approaches for enteric methane mitigation research: from fermi calculations to artificial intelligence paradigms.

Authors: Chowdhury, Ratul Frazier, Anthony Nathan Koziel, Jacek A et al.

Source: Animal Frontiers. Dec2024, Vol. 14 Issue 6, p33-41. 9p.

Prediction of single event effects in SiC MOSFET devices based on deep learning.

Authors: Guo, Yixian Chen, Yingqi Du, Xiaozhi et al.

Source: Nanotechnology; 11/17/2025, Vol. 36 Issue 46, p1-10, 10p

Subject Terms: SINGLE event effects, DEEP learning, COMPUTER-aided design software, CONVOLUTIONAL neural networks, SEMICONDUCTOR devices, PREDICTION models

Data driven surrogate modeling of horn antennas for optimal determination of radiation pattern and size using deep learning.

Authors: Piltan, Onur Can Kizilay, Ahmet Belen, Mehmet A. et al.

Source: Microwave & Optical Technology Letters; Jan2024, Vol. 66 Issue 1, p1-9, 9p

Subject Terms: DEEP learning, HORN antennas, 3-D printers, ANTENNA design, ANTENNAS (Electronics), ARTIFICIAL intelligence, RADIATION

Computationally Efficient Design Optimization of Multiband Antenna Using Deep Learning–Based Surrogate Models.

Authors: Palandöken, Merih Belen, Aysu Tari, Ozlem et al.

Source: International Journal of RF & Microwave Computer-Aided Engineering; 11/22/2024, Vol. 2024, p1-7, 7p

Subject Terms: ANTENNA design, ANTENNAS (Electronics), DEEP learning

System- and Data-Driven Methods and Algorithms

Authors: Peter Benner et al

Resource Type: eBook.

Subjects: Mathematical models

Categories: MATHEMATICS / Numerical Analysis, MATHEMATICS / Applied, SCIENCE / Physics / Mathematical & Computational, TECHNOLOGY & ENGINEERING / Automation

Imitation learning-driven approximation of stochastic control models.

Authors: Pozzi, Andrea Incremona, Alessandro Toti, Daniele

Source: Applied Intelligence; Aug2025, Vol. 55 Issue 12, p1-19, 19p

Copula Modeling and Uncertainty Propagation in Field‐Scale Simulation of CO2 Fault Leakage.

Authors: Pettersson, Per Keilegavlen, Eirik Sandve, Tor Harald et al.

Source: Water Resources Research; Jan2025, Vol. 61 Issue 1, p1-28, 28p

Subject Terms: ROCK properties, UNDERGROUND storage, FAULT zones, DISTRIBUTION (Probability theory), GREENHOUSE gases

Advancing Monoclonal Antibody Manufacturing: Process Optimization, Cost Reduction Strategies, and Emerging Technologies.

Authors: Ranbhor, Ranjit

Source: Biologics: Targets & Therapy; Apr2025, Vol. 19, p177-187, 11p

Subject Terms: TECHNOLOGICAL innovations, BATCH processing, CONTINUOUS processing, BREAK-even analysis, COST control