Paper

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    ECOS 2024

    APPLICATION OF AUTOENCODERS FOR MULTIVARIATE ANOMALY DETECTION IN BUILDING AUTOMATION SYSTEMS WITH VARIABLE SELECTION BASED ON SEMANTIC METADATA OF THE FACILITY

    Miloš Šipetić, Michael Schöny, Jerik Catal p699-710 from 37th International Conference on Efficiency, Cost, Optimization, Simulation and Environmental Impact of Energy Systems (ECOS 2024)
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  • Application of Feed Forward Neural Networks for Modeling of Heat Transfer Coefficient During Flow Condensation for Low and High Values of Saturation Temperatur

    ECOS 2023

    Application of Feed Forward Neural Networks for Modeling of Heat Transfer Coefficient During Flow Condensation for Low and High Values of Saturation Temperatur

    Stanislaw Gluch, Tacjana Niksa-Rynkiewicz, Dariusz Mikielewicz, Piotr Stomma p391-401 from 36th International Conference on Efficiency, Cost, Optimization, Simulation and Environmental Impact of Energy Systems (ECOS 2023)
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  • Application of Flat Plate Latent Heat Thermal Energy Storage for Waste Heat Recovery and Energy Flexibility in Maritime Sector

    ECOS 2023

    Application of Flat Plate Latent Heat Thermal Energy Storage for Waste Heat Recovery and Energy Flexibility in Maritime Sector

    Adriano Sciacovelli, Pouriya Niknam, Lorenzo Ciappi p2342-2353 from 36th International Conference on Efficiency, Cost, Optimization, Simulation and Environmental Impact of Energy Systems (ECOS 2023)
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  • Application of Genetic Algorithms to the Design and Dimensioning of Hybrid Power Plants Fueled by Alternative Fuels

    ECOS 2023

    Application of Genetic Algorithms to the Design and Dimensioning of Hybrid Power Plants Fueled by Alternative Fuels

    Álvaro Benet, Antonio Villalba-Herreros, Óscar Santiago, Teresa J. Leo p977-986 from 36th International Conference on Efficiency, Cost, Optimization, Simulation and Environmental Impact of Energy Systems (ECOS 2023)
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  • Application of Machine Learning in Energy Systems – a Comparative Analysis of Three Case Studies

    ECOS 2023

    Application of Machine Learning in Energy Systems – a Comparative Analysis of Three Case Studies

    Rath Michael, Gunturu Venkata Naga Lokesh, George Kiran, Prince Jayares p3120-3130 from 36th International Conference on Efficiency, Cost, Optimization, Simulation and Environmental Impact of Energy Systems (ECOS 2023)
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  • APPLICATION OF SEISMIC BASE ISOLATION IN A TIMBER MULTI-STORY FRAME BUILDING

    World Conference on Timber Engineering 2025

    APPLICATION OF SEISMIC BASE ISOLATION IN A TIMBER MULTI-STORY FRAME BUILDING

    Edoardo Giacobbo, Luca Pozza, Luca Marchi, Roberto Scotta p823-830 from 14th World Conference on Timber Engineering 2025 (WCTE 2025)
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  • Applying Guidance in a Limited Interval Improves Sample and Distribution Quality in Diffusion Models

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Applying Guidance in a Limited Interval Improves Sample and Distribution Quality in Diffusion Models

    Timo Aila, Miika Aittala, Tero Karras, Tuomas Kynkäänniemi, Samuli Laine, Jaakko Lehtinen p122458-122483 from Advances in Neural Information Processing Systems 37
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  • APPROACH TO PREDICT CHEMICAL EXERGY AND SYNGAS YIELD IN BRAZILIAN BIOMASS WASTE GASIFICATION USING AN ARTIFICIAL NEURAL NETWORK

    ECOS 2024

    APPROACH TO PREDICT CHEMICAL EXERGY AND SYNGAS YIELD IN BRAZILIAN BIOMASS WASTE GASIFICATION USING AN ARTIFICIAL NEURAL NETWORK

    Gabriel Gomes Vargas, Silvio de Oliveira Junior p2018-2029 from 37th International Conference on Efficiency, Cost, Optimization, Simulation and Environmental Impact of Energy Systems (ECOS 2024)
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  • Approaching Human-Level Forecasting with Language Models

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Approaching Human-Level Forecasting with Language Models

    Danny Halawi, Jacob Steinhardt, Chen Yueh-Han, Fred Zhang p50426-50468 from Advances in Neural Information Processing Systems 37
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  • Approaching Quartic Convergence Rates for Quasi-Stochastic Approximation with Application to Gradient-Free Optimization

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Approaching Quartic Convergence Rates for Quasi-Stochastic Approximation with Application to Gradient-Free Optimization

    Caio Kalil Lauand, Sean Meyn p15743-15756 from Advances in Neural Information Processing Systems 35
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  • Approximate Allocation Matching for Structural Causal Bandits with Unobserved Confounders

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Approximate Allocation Matching for Structural Causal Bandits with Unobserved Confounders

    Muhammad Qasim Elahi, Mahsa Ghasemi, Murat Kocaoglu, Lai Wei p68810-68832 from Advances in Neural Information Processing Systems 36
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  • Approximate Euclidean Lengths and Distances Beyond Johnson-Lindenstrauss

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Approximate Euclidean Lengths and Distances Beyond Johnson-Lindenstrauss

    Mathieu Luisier, Aleksandros Sobczyk p19357-19369 from Advances in Neural Information Processing Systems 35
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