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🔍 computing methodologies 📂 Engineering
Showing 7833 results for "computing methodologies" in Engineering
Engineering Preprint PDF DOI

Phase-Field Peridynamics

Kai Partmann, Christian Wieners, Michael Ortiz, Kerstin Weinberg · 2026

Peridynamics formulates the balance of linear momentum as an integro-differential equation, making it naturally suited for fracture modeling without special treatment of discontinuities. The bond-asso…

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Engineering Preprint PDF DOI

Responsive Distribution of G-normal Random Variables

Ziting Pei, Shige Peng, Xingye Yue, Xiaotao Zheng · 2026

A $G$-normal random variable $X\sim \mathcal{N}(0,[\underline{\sigma}^2,\overline{\sigma}^2])$ does not admit a unique probability law due to volatility uncertainty. For a given test function $\phi$, …

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Engineering Preprint PDF DOI

Modeling and Simulation of Nitrogen Generation by Pressure Swing Adsorption for Power-to-Ammonia

Marcus J. Schytt, Lorenz T. Biegler, John B. J{o}rgensen · 2026

Power-to-ammonia (P2A) provides a carbon-free alternative to conventional ammonia production by replacing fossil-based feedstocks with electrolytic hydrogen and nitrogen from air separation. For decen…

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Engineering Preprint PDF DOI

Thermal Anomaly Detection using Physics Aware Neuromorphic Networks: Comparison between Raw and L1C Sentinel-2 Data

Stephen Smith, Cormac Purcell, Gabriele Meoni, Roberto Del Prete, Zdenka Kuncic · 2026

Damage caused by bushfires and volcanic eruptions escalates rapidly when detection is delayed, making fast and reliable early warning capabilities essential. Recent Earth Observation (EO) approaches h…

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Engineering Preprint PDF DOI

Risk-Aware Allocation of Transmission Capacity for AI Data Centers

Shaoze Li, Bohang Fang, Cong Chen · 2026

Rapid growth in AI-driven data center loads is creating significant challenges for transmission grid interconnection. This paper proposes robust and risk-aware frameworks to quantify transmission capa…

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Engineering Preprint PDF DOI

Networking-Aware Energy Efficiency in Agentic AI Inference: A Survey

Xiaojing Chen, Haiqi Yu, Wei Ni, Dusit Niyato, Ruichen Zhang, Xin Wang, Shunqing Zhang, Shugong Xu · 2026

The rapid emergence of Large Language Models (LLMs) has catalyzed Agentic artificial intelligence (AI), autonomous systems integrating perception, reasoning, and action into closed-loop pipelines for …

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Engineering Preprint PDF DOI

Spatio-Temporal Grounding of Large Language Models from Perception Streams

Jacob Anderson, Bardh Hoxha, Georgios Fainekos, Hideki Okamoto, Danil Prokhorov · 2026

Embodied-AI agents must reason about how objects move and interact in 3-D space over time, yet existing smaller frontier Large Language Models (LLMs) still mis-handle fine-grained spatial relations, m…

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Engineering Preprint PDF DOI

Projected Variational Quantum Extragradient for Zero-Sum Games

Duong The Do, Matthew Aldridge, Duong Tung Nguyen · 2026

We propose a projected variational quantum extragradient (VQEG) framework for computing approximate Nash equilibria in two-player zero-sum matrix games. Mixed strategies are parameterized as Born dist…

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Engineering Preprint PDF DOI

IOGRUCloud: A Scalable AI-Driven IoT Platform for Climate Control in Controlled Environment Agriculture

Andrii Vakhnovskyi · 2026

Controlled Environment Agriculture (CEA) demands precise, adaptive climate management across distributed infrastructure. This paper presents IOGRUCloud, a scalable three-tier IoT platform that integra…

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Engineering Preprint PDF DOI

ospEDA: Orthogonal Subspace Projection for Electrodermal Activity Decomposition

Yongbin Lee, Youngsun Kong, Ki H. Chon · 2026

Electrodermal activity (EDA) is a widely used physiological signal for assessing sympathetic nervous activity, such as arousal, stress, and pain. However, reliable decomposition into tonic and phasic …

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Engineering Preprint PDF DOI

Measurement of Generative AI Workload Power Profiles for Whole-Facility Data Center Infrastructure Planning

Roberto Vercellino, Jared Willard, Gustavo Campos, Weslley da Silva Pereira, Olivia Hull, Matthew Selensky, Juliane Mueller · 2026

The rapid growth of generative artificial intelligence (AI) has introduced unprecedented computational demands, driving significant increases in the energy footprint of data centers. However, existing…

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Engineering Preprint PDF DOI

CADENCE: Context-Adaptive Depth Estimation for Navigation and Computational Efficiency

Timothy K Johnsen, Marco Levorato · 2026

Autonomous vehicles deployed in remote environments typically rely on embedded processors, compact batteries, and lightweight sensors. These hardware limitations conflict with the need to derive robus…

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Engineering Preprint PDF DOI

OpenPRC: A Unified Open-Source Framework for Physics-to-Task Evaluation in Physical Reservoir Computing

Yogesh Phalak, Wen Sin Lor, Apoorva Khairnar, Benjamin Jantzen, Noel Naughton, Suyi Li · 2026

Physical Reservoir Computing (PRC) leverages the intrinsic nonlinear dynamics of physical substrates, mechanical, optical, spintronic, and beyond, as fixed computational reservoirs, offering a compell…

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Engineering Preprint PDF DOI

An RTK-SLAM Dataset for Absolute Accuracy Evaluation in GNSS-Degraded Environments

Wei Zhang, Vincent Ress, David Skuddis, Uwe Soergel, Norbert Haala · 2026

RTK-SLAM systems integrate simultaneous localization and mapping (SLAM) with real-time kinematic (RTK) GNSS positioning, promising both relative consistency and globally referenced coordinates for eff…

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Engineering Preprint PDF DOI

Trajectory-Based Nonlinear Indices for Real-Time Monitoring and Quantification of Short-Term Voltage Stability

Mohammad Almomani, Muhammad Sarwar, Venkataramana Ajjarapu · 2026

Existing short term voltage stability (STVS) methods typically address either voltage oscillations or delayed voltage recovery; however, the coexistence of both phenomena has not been adequately cover…

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Engineering Preprint PDF DOI

Failure-Aware Iterative Learning of State-Control Invariant Sets

Ahmad Amine, Nick-Marios T. Kokolakis, Ugo Rosolia, Truong X. Nghiem, Rahul Mangharam · 2026

In this paper, we address the problem of computing maximal state-control invariant sets using failing trajectories. We introduce the concept of state-control invariance, which extends control invarian…

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Engineering Preprint PDF DOI

Hyperfastrl: Hypernetwork-based reinforcement learning for unified control of parametric chaotic PDEs

Anil Sapkota, Omer San · 2026

Spatiotemporal chaos in fluid systems exhibits severe parametric sensitivity, rendering classical adjoint-based optimal control intractable because each operating regime requires recomputing the contr…

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Engineering Preprint PDF DOI

Compiling OpenSCENARIO 2.1 for Scenario-Based Testing in CARLA

Thoshitha Gamage, Lasanthi Gamage · 2026

While the ASAM OpenSCENARIO 2.1 Domain-Specific Language (DSL) enables declarative, intent-driven authoring for Scenario-Based Testing (SBT), its integration into open-source simulators like CARLA rem…

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Engineering Preprint PDF DOI

Delta6: A Low-Cost, 6-DOF Force-Sensing Flexible End-Effector

Yue Feng, Weicheng Huang, Chen Qiu, Huixu Dong, I-Ming Chen · 2026

This paper presents Delta6, a low-cost, six-degree-of-freedom (6-DOF) force/torque end-effector that combines antagonistic springs with magnetic encoders to deliver accurate wrench sensing while remai…

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Engineering Preprint PDF DOI

Adaptive Material Fingerprinting for the fast discovery of polyconvex feature combinations in isotropic and anisotropic hyperelasticity

Moritz Flaschel, Hagen Holthusen, Denisa Martonova, Ellen Kuhl · 2026

We recently proposed a method called Material Fingerprinting for the rapid discovery of mechanical material models that avoids solving continuous optimization problems. Material Fingerprinting assumes…

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