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๐Ÿ” memory ๐Ÿ“‚ Engineering
Showing 3601 results for "memory" in Engineering
Engineering Preprint PDF DOI

Hybrid DeepONet Surrogates for Multiphase Flow in Porous Media

Ezequiel S. Santos, Gabriel F. Barros, Amanda C. N. Oliveira, Romulo M. Silva, Rodolfo S. M. Freitas, Dakshina M. Valiveti, Xiao-Hui Wu, Fernando A. Rochinha, Alvaro L. G. A. Coutinho ยท 2025

The solution of partial differential equations (PDEs) plays a central role in numerous applications in science and engineering, particularly those involving multiphase flow in porous media. Complex, nโ€ฆ

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Engineering Preprint PDF DOI

Policy Gradient Methods for Information-Theoretic Opacity in Markov Decision Processes

Chongyang Shi, Sumukha Udupa, Michael R. Dorothy, Shuo Han, Jie Fu ยท 2025

Opacity, or non-interference, is a property ensuring that an external observer cannot infer confidential information (the "secret") from system observations. We introduce an information-theoretic measโ€ฆ

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Engineering Preprint PDF DOI

Thermo-responsive closing and reopening artificial Venus Flytrap utilizing shape memory elastomers

Shun Yoshida, Qingchuan Song, Bastian E. Rapp, Thomas Speck, Falk J. Tauber ยท 2025

Despite their often perceived static and slow nature, some plants can move faster than the blink of an eye. The rapid snap closure motion of the Venus flytrap (Dionaea muscipula) has long captivated tโ€ฆ

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Engineering Preprint PDF DOI

Investigation of Performance and Scalability of a Quantum-Inspired Evolutionary Optimizer (QIEO) on NVIDIA GPU

Aman Mittal, Kasturi Venkata Sai Srikanth, Ferdin Sagai Don Bosco, Abhishek Singh, Rut Lineswala, Abhishek Chopra ยท 2025

Quantum inspired evolutionary optimization leverages quantum computing principles like superposition, interference, and probabilistic representation to enhance classical evolutionary algorithms with iโ€ฆ

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Engineering Preprint PDF DOI

A Meta-Cognitive Swarm Intelligence Framework for Resilient UAV Navigation in GPS-Denied and Cluttered Environments

Mathias Mankoe, Fuqiang Lu, Hualing Bi, Abdulsalam Sibidoo Mubashiru ยท 2025

Autonomous navigation of UAV swarms in perceptually-degraded environments, where GPS is unavailable and terrain is densely cluttered, presents a critical bottleneck for real-world deployment. Existingโ€ฆ

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Engineering Preprint PDF DOI

A Dynamic Recurrent Adjacency Memory Network for Mixed-Generation Power System Stability Forecasting

Guang An Ooi, Otavio Bertozzi, Mohd Asim Aftab, Charalambos Konstantinou, Shehab Ahmed ยท 2025

Modern power systems with high penetration of inverter-based resources exhibit complex dynamic behaviors that challenge the scalability and generalizability of traditional stability assessment methodsโ€ฆ

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Engineering Preprint PDF DOI

Learning a Network Digital Twin as a Hybrid System

Christos Mavridis, Fernando S. Barbosa, Hamed Farhadi, Karl H. Johansson ยท 2025

Network digital twin (NDT) models are virtual models that replicate the behavior of physical communication networks and are considered a key technology component to enable novel features and capabilitโ€ฆ

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Engineering Preprint PDF DOI

EgoMI: Learning Active Vision and Whole-Body Manipulation from Egocentric Human Demonstrations

Justin Yu, Yide Shentu, Di Wu, Pieter Abbeel, Ken Goldberg, Philipp Wu ยท 2025

Imitation learning from human demonstrations offers a promising approach for robot skill acquisition, but egocentric human data introduces fundamental challenges due to the embodiment gap. During maniโ€ฆ

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Engineering Preprint PDF DOI

RoboOS-NeXT: A Unified Memory-based Framework for Lifelong, Scalable, and Robust Multi-Robot Collaboration

Huajie Tan, Cheng Chi, Xiansheng Chen, Yuheng Ji, Zhongxia Zhao, Xiaoshuai Hao, Yaoxu Lyu, Mingyu Cao, Junkai Zhao, Huaihai Lyu, Enshen Zhou, Ning Chen, Yankai Fu, Cheng Peng, Wei Guo, Dong Liang, Zhuo Chen, Mengsi Lyu, Chenrui He, Yulong Ao, Yonghua Lin, Pengwei Wang, Zhongyuan Wang, Shanghang Zhang ยท 2025

The proliferation of collaborative robots across diverse tasks and embodiments presents a central challenge: achieving lifelong adaptability, scalable coordination, and robust scheduling in multi-agenโ€ฆ

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AgriGS-SLAM: Orchard Mapping Across Seasons via Multi-View Gaussian Splatting SLAM

Mirko Usuelli, David Rapado-Rincon, Gert Kootstra, Matteo Matteucci ยท 2025

Autonomous robots in orchards require real-time 3D scene understanding despite repetitive row geometry, seasonal appearance changes, and wind-driven foliage motion. We present AgriGS-SLAM, a Visual--Lโ€ฆ

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Force Characterization of Insect-Scale Aquatic Propulsion Based on Fluid-Structure Interaction

Conor K. Trygstad, Nestor O. Perez-Arancibia ยท 2025

We present force characterizations of two newly developed insect-scale propulsors--one single-tailed and one double-tailed--for microrobotic swimmers that leverage fluid-structure interaction (FSI) toโ€ฆ

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Deep Learning-Based CSI Prediction Framework for Channel Aging Mitigation in TDD 5G Systems

Francisco Diaz-Ruiz, Francisco J. Martin-Vega, Jose Antonio Cortes, Gerardo Gomez, Mari Carmen Aguayo-Torres ยท 2025

Time division duplexing (TDD) has become the dominant duplexing mode in 5G and beyond due to its ability to exploit channel reciprocity for efficient downlink channel state information (CSI) acquisitiโ€ฆ

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LagMemo: Language 3D Gaussian Splatting Memory for Multi-modal Open-vocabulary Multi-goal Visual Navigation

Haotian Zhou, Xiaole Wang, He Li, Zhuo Qi, Jinrun Yin, Haiyu Kong, Jianghuan Xu, Huijing Zhao ยท 2025

Navigating to a designated goal using visual information is a fundamental capability for intelligent robots. To address the practical demands of multi-modal, open-vocabulary goal queries and multi-goaโ€ฆ

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Explicit Memory through Online 3D Gaussian Splatting Improves Class-Agnostic Video Segmentation

Anthony Opipari, Aravindhan K Krishnan, Shreekant Gayaka, Min Sun, Cheng-Hao Kuo, Arnie Sen, Odest Chadwicke Jenkins ยท 2025

Remembering where object segments were predicted in the past is useful for improving the accuracy and consistency of class-agnostic video segmentation algorithms. Existing video segmentation algorithmโ€ฆ

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Neural-HAR: A Dimension-Gated CNN Accelerator for Real-Time Radar Human Activity Recognition

Yizhuo Wu, Francesco Fioranelli, Chang Gao ยท 2025

Radar-based human activity recognition (HAR) is attractive for unobtrusive and privacy-preserving monitoring, yet many CNN/RNN solutions remain too heavy for edge deployment, and even lightweight ViT/โ€ฆ

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Engineering Preprint PDF DOI

Policies over Poses: Reinforcement Learning based Distributed Pose-Graph Optimization for Multi-Robot SLAM

Sai Krishna Ghanta, Ramviyas Parasuraman ยท 2025

We consider the distributed pose-graph optimization (PGO) problem, which is fundamental in accurate trajectory estimation in multi-robot simultaneous localization and mapping (SLAM). Conventional iterโ€ฆ

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TRASE-NODEs: Trajectory Sensitivity-aware Neural Ordinary Differential Equations for Efficient Dynamic Modeling

Fatima Al-Janahi, Min-Seung Ko, Hao Zhu ยท 2025

Modeling dynamical systems is crucial across the science and engineering fields for accurate prediction, control, and decision-making. Recently, machine learning (ML) approaches, particularly neural oโ€ฆ

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Enhancing Tactile-based Reinforcement Learning for Robotic Control

Elle Miller, Trevor McInroe, David Abel, Oisin Mac Aodha, Sethu Vijayakumar ยท 2025

Achieving safe, reliable real-world robotic manipulation requires agents to evolve beyond vision and incorporate tactile sensing to overcome sensory deficits and reliance on idealised state informatioโ€ฆ

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C-NAV: Towards Self-Evolving Continual Object Navigation in Open World

Ming-Ming Yu, Fei Zhu, Wenzhuo Liu, Yirong Yang, Qunbo Wang, Wenjun Wu, Jing Liu ยท 2025

Embodied agents are expected to perform object navigation in dynamic, open-world environments. However, existing approaches typically rely on static trajectories and a fixed set of object categories dโ€ฆ

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Channel Estimation and Passive Beamforming for Pixel-based Reconfigurable Intelligent Surfaces with Non-Separable State Response

Huayan Guo, Junhui Rao, Alex M. H. Wong, Ross Murch, Vincent K. N. Lau ยท 2025

Pixel-based reconfigurable intelligent surfaces (RISs) employ a novel design to achieve high reflection gain at a lower hardware cost by eliminating the phase shifters used in traditional RIS. Howeverโ€ฆ

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