Showing 1 - 20 results of 184 for search 'new work : ((coding design) OR (((loading design) OR (learning design)))),', query time: 0.17s Refine Results
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    Light Water Reactor Loading Pattern Optimization with Reinforcement Learning Algorithms by Seurin, Paul R.M.

    Published 2024
    “…Computational methods from Stochastic Optimization (SO) have been used to tackle this issue, yet they often fail to outperform expert-designed solutions preferred by utilities. Deep Reinforcement Learning (RL), a subset of Deep Learning focused on decision-making, has shown promise in surpassing human-expert solutions in fields such as gaming and robotics. …”
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    Thesis
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    Learning to generalize to new tasks/domains with limited data by Peng, Danni

    Published 2023
    “…My first focus is on meta-learning, which aims to acquire common knowledge from a set of tasks to facilitate learning of new tasks with few examples. …”
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    Thesis-Doctor of Philosophy
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    Deep Optical Coding Design in Computational Imaging: A data-driven framework by Arguello, Henry, Bacca, Jorge, Kariyawasam, Hasindu, Vargas, Edwin, Marquez, Miguel, Hettiarachchi, Ramith, Garcia, Hans, Herath, Kithmini, Haputhanthri, Udith, Ahluwalia, Balpreet Singh, So, Peter, Wadduwage, Dushan N., Edussooriya, Chamira U.S.

    Published 2024
    “…Conventional approaches rely on random patterns or analytical designs to set the distribution of the CE. However, the available data and algorithm capabilities of deep neural networks (DNNs) have opened a new horizon in CE data-driven designs that jointly consider the optical encoder and computational decoder. …”
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    Article
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    Experimental, numerical study and design of concrete-encased concrete-filled steel tube columns and beam-column joints by Ma, Youxin

    Published 2022
    “…Moreover, there has not been any codes of practice that includes the design of CECFST columns under combined loading (both uniaxial and biaxial) and concrete beam-to-CECFST column joints under seismic loading. …”
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    Thesis-Doctor of Philosophy
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    From Waste to Structure: A Deep Reinforcement Learning Approach to Circular Design by Sørensen, Karl-Johan I.

    Published 2024
    “…This thesis proposes a new method for circular design utilizing Deep Reinforcement Learning (RL) to design structures, requiring only a design gesture and the inventory as input. …”
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    Thesis
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    Crowdsourcing as Reflective Political Practice: Building a Location-based Tool for Civic Learning and Engagement by Graeff, Erhardt

    Published 2020
    “…Using a needs assessment of Boston-area municipalities, I reinforce my argument and concretize a set of design goals for a new socio-technical system to foster local civic learning and engagement around issues like urban planning. …”
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    Article
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    High-mass loading V3O7·H2O nanoarray for Zn-ion battery : new synthesis and two-stage ion intercalation chemistry by Chen, Duo, Lu, Menjie, Wang, Boran, Cheng, Hongfei, Yang, Hang, Cai, Dong, Han, Wei, Fan, Hong Jin

    Published 2021
    “…However, up to now, the detailed Zn ion intercalation mechanisms are still not fully clear. In this work, we first show a new facile synthesis approach for V3O7·H2O nanoarray cathode with large mass loadings (1.0–12 mg cm−2). …”
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    Journal Article
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    Efficient storage codes for non-volatile memories by Chua, Melissa Wan Jun

    Published 2016
    “…A newly designed two-write 4-ary WOM-code, which is proposed in this work achieves an improvement in coding efficiency of O.2%. …”
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    Thesis
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    Bit allocation techniques for video coding and broadcasting applications by Yao, Wei

    Published 2013
    “…When bit allocation is unbalanced in current coding structure, an improved inter-layer prediction scheme is proposed for layers with both spatial and quality scalability and a new concept of auxiliary layer is introduced to further improve the coding efficiency. …”
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    Thesis