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

Field Free Novel Architecture for Spintronic Flash Analog to Digital Converter

Abin Francis, Nikhil Kumar, Prince Philip · 2026

A 3 bit Analog to Digital Converter (ADC) is designed using perpendicular Spin Orbit Torque Magnetic Tunnel Junction (SOT MTJ). A sampled analog input signal is transmitted as a spin orbit torque curr…

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Engineering Preprint PDF DOI

Amplitude Dependent Bode Diagrams via Scaled Relative Graphs

Julius P. J. Krebbekx, Roland Toth, Amritam Das, Thomas Chaffey · 2026

Scaled Relative Graphs (SRGs) provide an intuitive graphical frequency-domain method for the analysis of Nonlinear (NL) systems, generalizing the Nyquist diagram. In this paper, we develop a method fo…

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Engineering Preprint PDF DOI

The Neural Compass: Probabilistic Relative Feature Fields for Robotic Search

Gabriele Somaschini, Adrian Rofer, Abhinav Valada · 2026

Object co-occurrences provide a key cue for finding objects successfully and efficiently in unfamiliar environments. Typically, one looks for cups in kitchens and views fridges as evidence of being in…

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Engineering Preprint PDF DOI

CRED: Counterfactual Reasoning and Environment Design for Active Preference Learning

Yi-Shiuan Tung, Gyanig Kumar, Wei Jiang, Bradley Hayes, Alessandro Roncone · 2026

As a robot's operational environment and tasks to perform within it grow in complexity, the explicit specification and balancing of optimization objectives to achieve a preferred behavior profile move…

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Engineering Preprint PDF DOI

Behavioral Generative Agents for Power Dispatch and Auction

Shaoze Li, Justin S. Kim, Cong Chen · 2026

This paper presents positive initial evidence that generative agents can relax the rigidity of traditional mathematical models for human decision-making in power dispatch and auction settings. We desi…

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Engineering Preprint PDF DOI

Rectified flow-based prediction of post-treatment brain MRI from pre-radiotherapy priors for patients with glioma

Selena Huisman, Nordin Belkacemi, Vera Keil, Joost Verhoeff, Szabolcs David · 2026

Purpose/Objective: Brain tumors result in 20 years of lost life on average. Standard therapies induce complex structural changes in the brain that are monitored through MRI. Recent developments in art…

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Engineering Preprint PDF DOI

See and Switch: Vision-Based Branching for Interactive Robot-Skill Programming

Petr Vanc, Jan Kristof Behrens, Vaclav Hlavac, Karla Stepanova · 2026

Programming robots by demonstration (PbD) is an intuitive concept, but scaling it to real-world variability remains a challenge for most current teaching frameworks. Conditional task graphs are very e…

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Engineering Preprint PDF DOI

Joint Trajectory, RIS, and Computation Offloading Optimization via Decentralized Model-Based PPO in Urban Multi-UAV Mobile Edge Computing

Liangshun Wu, Jianbo Du, Junsuo Qu · 2026

Efficient computation offloading in multi-UAV edge networks becomes particularly challenging in dense urban areas, where line-of-sight (LoS) links are frequently blocked and user demand varies rapidly…

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Engineering Preprint PDF DOI

Trajectory Tracking Control Design for Autonomous Helicopters with Guaranteed Error Bounds

Philipp Schitz, Johann C. Dauer, Paolo Mercorelli · 2026

This paper presents a systematic framework for computing formally guaranteed trajectory tracking error bounds for autonomous helicopters based on Robust Positive Invariant (RPI) sets. The approach foc…

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Engineering Preprint PDF DOI

Distributed Coordination Algorithms with Efficient Communication for Open Multi-Agent Systems with Dynamic Communication Links and Processing Delays

Jiaqi Hu, Karl H. Johansson, Apostolos I. Rikos · 2026

In this paper we focus on the distributed quantized average consensus problem in open multi-agent systems consisting of dynamic directed communication links among active nodes. We propose three commun…

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Engineering Preprint PDF DOI

Relating Reinforcement Learning to Dynamic Programming-Based Planning

Filip V. Georgiev, Kalle G. Timperi, Basak Sakcak, Steven M. LaValle · 2026

This paper bridges some of the gap between optimal planning and reinforcement learning (RL), both of which share roots in dynamic programming applied to sequential decision making or optimal control. …

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Engineering Preprint PDF DOI

Uncertainty Mitigation and Intent Inference: A Dual-Mode Human-Machine Joint Planning System

Zeyu Fang, Yuxin Lin, Cheng Liu, Beomyeol Yu, Zeyuan Yang, Rongqian Chen, Taeyoung Lee, Mahdi Imani, Tian Lan · 2026

Effective human-robot collaboration in open-world environments requires joint planning under uncertain conditions. However, existing approaches often treat humans as passive supervisors, preventing au…

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Engineering Preprint PDF DOI

Machine Learning for the Internet of Underwater Things: From Fundamentals to Implementation

Kenechi Omeke, Attai Abubakar, Michael Mollel, Lei Zhang, Qammer H. Abbasi, Muhammad Ali Imran · 2026

The Internet of Underwater Things (IoUT) is becoming a critical infrastructure for ocean observation, marine resource management, and climate science. Its development is hindered by severe acoustic at…

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Engineering Preprint PDF DOI

Feasibility Restoration under Conflicting STL Specifications with Pareto-Optimal Refinement

Tianhao Wu, Yiwei Lyu · 2026

Signal Temporal Logic (STL) is expressive formal language that specifies spatio-temporal requirements in robotics. Its quantitative robustness semantics can be easily integrated with optimization-base…

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Engineering Preprint PDF DOI

CN-CBF: Composite Neural Control Barrier Function for Safe Robot Navigation in Dynamic Environments

Bojan Derajic, Sebastian Bernhard, Wolfgang Honig · 2026

Safe navigation of autonomous robots remains one of the core challenges in the field, especially in dynamic and uncertain environments. One of the prevalent approaches is safety filtering based on con…

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Engineering Preprint PDF DOI

SysNav: Multi-Level Systematic Cooperation Enables Real-World, Cross-Embodiment Object Navigation

Haokun Zhu, Zongtai Li, Zihan Liu, Kevin Guo, Zhengzhi Lin, Yuxin Cai, Guofei Chen, Chen Lv, Wenshan Wang, Jean Oh, Ji Zhang · 2026

Object navigation (ObjectNav) in real-world environments is a complex problem that requires simultaneously addressing multiple challenges, including complex spatial structure, long-horizon planning an…

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Engineering Preprint PDF DOI

Quantum Technologies and Edge Devices in Electrical Grids: Opportunities, Challenges, and Future Directions

Marjorie Hoegen, Rene Glebke, M. Sahnawaz Alam, Alessandro David, Juan Navarro Arenas, Nikolaus Wirtz, Mario Albanese, Daniele Carta, Felix Motzoi, Antonello Monti, Carsten Schuck, Andrea Benigni, Klaus Wehrle, Ferdinanda Ponci · 2026

In modern power systems, edge devices serve as local hubs that collect data, perform on-site computing, sense electrical parameters, execute control actions, and communicate with neighboring edge devi…

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Engineering Preprint PDF DOI

A Unified Multicarrier Waveform Framework for Next-generation Wireless Networks: Principles, Performance, and Challenges

Xingyao Zhang, Haoran Yin, Yanqun Tang, Yao Ge, Yong Zeng, Miaowen Wen, Zilong Liu, Yong Liang Guan, Huseyin Arslan, Giuseppe Caire · 2026

Next-generation wireless networks require enhanced flexibility, efficiency, and reliability in physical layer waveform design to address the challenges posed by heterogeneous channel conditions and st…

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Engineering Preprint PDF DOI

Doctor or Patient? Synergizing Diarization and ASR for Code-Switched Hinglish Medical Conditions Extraction

Severin Baroudi, Yanis Labrak, Shashi Kumar, Joonas Kalda, Sergio Burdisso, Pawel Cyrta, Juan Ignacio Alvarez-Trejos, Petr Motlicek, Herve Bredin, Ricard Marxer · 2026

Extracting patient medical conditions from code-switched clinical spoken dialogues is challenging due to rapid turn-taking and highly overlapped speech. We present a robust system evaluated on the DIS…

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Engineering Preprint PDF DOI

MAD: A Multimodal and Multi-perspective Affective Dataset with Hierarchical Annotations

Shengwei Guo, Yunqing Qiao, Wenzhan Zhang, Bo Liu, Yong Wang, Guobing Sun · 2026

This work presents MAD (Multimodal Affection Dataset), a multimodal emotion dataset designed for affective computing and neurophysiological modeling. MAD is built upon synchronous collection of divers…

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