Papers Robust Design
“Robust Design” 태그가 달린 논문 74편 · 필터 해제
Predictive Digital Twins for Thermal Management Using Machine Learning and Reduced-Order Models
Digital twins enable real-time simulation and prediction in engineering systems. This paper presents a novel framework for predictive digital twins of a headlamp heatsink, integrating physics-based reduced-order models (…
ManagementRobust DesignUAV-Assisted 5G Networks: Mobility-Aware 3D Trajectory Optimization and Resource Allocation for Dynamic Environments
This work proposes a framework for the robust design of UAV-assisted wireless networks that combine 3D trajectory optimization with user mobility prediction to address dynamic resource allocation challenges. We proposed …
Robust DesignNeuralFoil: An Airfoil Aerodynamics Analysis Tool Using Physics-Informed Machine Learning
NeuralFoil is an open-source Python-based tool for rapid aerodynamics analysis of airfoils, similar in purpose to XFoil. Speedups ranging from 8x to 1,000x over XFoil are demonstrated, after controlling for equivalent ac…
Feature EngineeringPhysics-informed machine learningRobust DesignUncertainty QuantificationHuman-AI Interaction Design Standards
The rapid development of artificial intelligence (AI) has significantly transformed human-computer interactions, making it essential to establish robust design standards to ensure effective, ethical, and human-centered A…
Autonomous VehiclesRobust DesignMulti-user Visible Light Communications with Probabilistic Constellation Shaping and Precoding
This paper proposes a joint design of probabilistic constellation shaping (PCS) and precoding to enhance the sum-rate performance of multi-user visible light communications (VLC) broadcast channels subject to signal ampl…
Robust DesignLLM-Net: Democratizing LLMs-as-a-Service through Blockchain-based Expert Networks
The centralization of Large Language Models (LLMs) development has created significant barriers to AI advancement, limiting the democratization of these powerful technologies. This centralization, coupled with the scarci…
RAGRetrieval-augmented GenerationRobust DesignStochastic Integration Based Estimator: Robust Design and Stone Soup Implementation
This paper deals with state estimation of nonlinear stochastic dynamic models. In particular, the stochastic integration rule, which provides asymptotically unbiased estimates of the moments of nonlinearly transformed Ga…
Robust DesignState EstimationSoftware Design Pattern Model and Data Structure Algorithm Abilities on Microservices Architecture Design in High-tech Enterprises
This study investigates the impact of software design model capabilities and data structure algorithm abilities on microservices architecture design within enterprises. Utilizing a qualitative methodology, the research i…
Robust DesignJoyType: A Robust Design for Multilingual Visual Text Creation
Generating images with accurately represented text, especially in non-Latin languages, poses a significant challenge for diffusion models. Existing approaches, such as the integration of hint condition diagrams via auxil…
Image GenerationOptical Character Recognition (OCR)Robust DesignText GenerationSecure Enhancement for RIS-Aided UAV with ISAC: Robust Design and Resource Allocation
This paper analyses the security performance of a reconfigurable intelligent surface (RIS)-aided unmanned aerial vehicle (UAV) communication system with integrated sensing and communications (ISAC). We consider a multipl…
ISACRobust DesignPCGRL+: Scaling, Control and Generalization in Reinforcement Learning Level Generators
Procedural Content Generation via Reinforcement Learning (PCGRL) has been introduced as a means by which controllable designer agents can be trained based only on a set of computable metrics acting as a proxy for the lev…
CPUGPUreinforcement-learningReinforcement Learning+1An Uncertainty-aware Deep Learning Framework-based Robust Design Optimization of Metamaterial Units
Mechanical metamaterials represent an innovative class of artificial structures, distinguished by their extraordinary mechanical characteristics, which are beyond the scope of traditional natural materials. The use of de…
Robust DesignLatent Causal Probing: A Formal Perspective on Probing with Causal Models of Data
As language models (LMs) deliver increasing performance on a range of NLP tasks, probing classifiers have become an indispensable technique in the effort to better understand their inner workings. A typical setup involve…
Robust DesignContractual Reinforcement Learning: Pulling Arms with Invisible Hands
The agency problem emerges in today's large scale machine learning tasks, where the learners are unable to direct content creation or enforce data collection. In this work, we propose a theoretical framework for aligning…
reinforcement-learningReinforcement LearningRobust DesignAI-Assisted Detector Design for the EIC (AID(2)E)
Artificial Intelligence is poised to transform the design of complex, large-scale detectors like the ePIC at the future Electron Ion Collider. Featuring a central detector with additional detecting systems in the far for…
Multiobjective OptimizationNavigateRobust DesignDual-Robust Integrated Sensing and Communication: Beamforming under CSI Imperfection and Location Uncertainty
A dual-robust design of beamforming is investigated in an integrated sensing and communication (ISAC) system.Existing research on robust ISAC waveform design, while proposing solutions to imperfect channel state informat…
Integrated sensing and communicationISACRobust DesignVariational Bayesian surrogate modelling with application to robust design optimisation
Surrogate models provide a quick-to-evaluate approximation to complex computational models and are essential for multi-query problems like design optimisation. The inputs of current deterministic computational models are…
Bayesian InferenceDimensionality ReductionRobust DesignLightweight Geometric Deep Learning for Molecular Modelling in Catalyst Discovery
New technology for energy storage is necessary for the large-scale adoption of renewable energy sources like wind and solar. The ability to discover suitable catalysts is crucial for making energy storage more cost-effec…
Deep LearningRobust DesignTargeted Variance Reduction: Robust Bayesian Optimization of Black-Box Simulators with Noise Parameters
The optimization of a black-box simulator over control parameters $\mathbf{x}$ arises in a myriad of scientific applications. In such applications, the simulator often takes the form $f(\mathbf{x},\boldsymbol{\theta})$, …
Bayesian OptimizationRobust DesignSensing-assisted Robust SWIPT for Mobile Energy Harvesting Receivers in Networked ISAC Systems
Simultaneous wireless information and power transfer (SWIPT) has been proposed to offer communication services and transfer power to the energy harvesting receiver (EHR) concurrently. However, existing works mainly focus…
Integrated sensing and communicationISACRobust Design