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

Less is More: AMBER-AFNO -- a New Benchmark for Lightweight 3D Medical Image Segmentation

Andrea Dosi, Semanto Mondal, Rajib Chandra Ghosh, Massimo Brescia, Giuseppe Longo ยท 2025

We adapt the remote sensing-inspired AMBER model from multi-band image segmentation to 3D medical datacube segmentation. To address the computational bottleneck of the volumetric transformer, we propoโ€ฆ

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Engineering Preprint PDF DOI

L3M+P: Lifelong Planning with Large Language Models

Krish Agarwal, Yuqian Jiang, Jiaheng Hu, Bo Liu, Peter Stone ยท 2025

By combining classical planning methods with large language models (LLMs), recent research such as LLM+P has enabled agents to plan for general tasks given in natural language. However, scaling these โ€ฆ

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Engineering Preprint PDF DOI

Conditional Residual Coding with Explicit-Implicit Temporal Buffering for Learned Video Compression

Yi-Hsin Chen, Kuan-Wei Ho, Martin Benjak, Jorn Ostermann, Wen-Hsiao Peng ยท 2025

This work proposes a hybrid, explicit-implicit temporal buffering scheme for conditional residual video coding. Recent conditional coding methods propagate implicit temporal information for inter-framโ€ฆ

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Engineering Preprint PDF DOI

Statistical Multiport-Network Modeling and Efficient Discrete Optimization of RIS

Cheima Hammami, Luc Le Magoarou, Philipp del Hougne ยท 2025

This Letter addresses the physics-consistent optimization of reconfigurable intelligent surfaces (RISs) with mutual coupling (MC) and 1-bit-programmable RIS elements. This combination of constraints iโ€ฆ

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Engineering Preprint PDF DOI

Energy-Predictive Planning for Optimizing Drone Service Delivery

Guanting Ren, Babar Shahzaad, Balsam Alkouz, Abdallah Lakhdari, Athman Bouguettaya ยท 2025

We propose a novel Energy-Predictive Drone Service (EPDS) framework for efficient package delivery within a skyway network. The EPDS framework incorporates a formal modeling of an EPDS and an adaptiveโ€ฆ

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Engineering Preprint PDF DOI

RoboMemory: A Brain-inspired Multi-memory Agentic Framework for Interactive Environmental Learning in Physical Embodied Systems

Mingcong Lei, Honghao Cai, Yuyuan Yang, Yimou Wu, Jinke Ren, Zezhou Cui, Liangchen Tan, Junkun Hong, Gehan Hu, Shuangyu Zhu, Shaohan Jiang, Ge Wang, Junyuan Tan, Zhenglin Wan, Zheng Li, Zhen Li, Shuguang Cui, Yiming Zhao, Yatong Han ยท 2025

Embodied intelligence aims to enable robots to learn, reason, and generalize robustly across complex real-world environments. However, existing approaches often struggle with partial observability, frโ€ฆ

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Engineering Preprint PDF DOI

On-Device Diffusion Transformer Policy for Efficient Robot Manipulation

Yiming Wu, Huan Wang, Zhenghao Chen, Jianxin Pang, Dong Xu ยท 2025

Diffusion Policies have significantly advanced robotic manipulation tasks via imitation learning, but their application on resource-constrained mobile platforms remains challenging due to computationaโ€ฆ

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Engineering Preprint PDF DOI

Melody-Lyrics Matching with Contrastive Alignment Loss

Changhong Wang, Michel Olvera, Gael Richard ยท 2025

The connection between music and lyrics is far beyond semantic bonds. Conceptual pairs in the two modalities such as rhythm and rhyme, note duration and syllabic stress, and structure correspondence, โ€ฆ

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Service Discovery-Based Hybrid Network Middleware for Efficient Communication in Distributed Robotic Systems

Shiyao Sang, Yinggang Ling ยท 2025

Robotic middleware is fundamental to ensuring reliable communication among system components and is crucial for intelligent robotics, autonomous vehicles, and smart manufacturing. However, existing roโ€ฆ

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Engineering Preprint PDF DOI

JPEG Processing Neural Operator for Backward-Compatible Coding

Woo Kyoung Han, Yongjun Lee, Byeonghun Lee, Sang Hyun Park, Sunghoon Im, Kyong Hwan Jin ยท 2025

Despite significant advances in learning-based lossy compression algorithms, standardizing codecs remains a critical challenge. In this paper, we present the JPEG Processing Neural Operator (JPNeO), aโ€ฆ

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EMORe: Motion-Robust 5D MRI Reconstruction via Expectation-Maximization-Guided Binning Correction and Outlier Rejection

Syed M. Arshad, Lee C. Potter, Yingmin Liu, Christopher Crabtree, Matthew S. Tong, Rizwan Ahmad ยท 2025

We propose EMORe, an adaptive reconstruction method designed to enhance motion robustness in free-running, free-breathing self-gated 5D cardiac magnetic resonance imaging (MRI). Traditional self-gatinโ€ฆ

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Beyond Rigid AI: Towards Natural Human-Machine Symbiosis for Interoperative Surgical Assistance

Lalithkumar Seenivasan, Jiru Xu, Roger D. Soberanis Mukul, Hao Ding, Grayson Byrd, Yu-Chun Ku, Jose L. Porras, Masaru Ishii, Mathias Unberath ยท 2025

Emerging surgical data science and robotics solutions, especially those designed to provide assistance in situ, require natural human-machine interfaces to fully unlock their potential in providing adโ€ฆ

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Neural Energy Landscapes Predict Working Memory Decline After Brain Tumor Resection

Triet M. Tran, Sina Khanmohammadi ยท 2025

Surgical resection is the primary treatment option for brain tumor patients, but it carries the risk of postoperative cognitive dysfunction. This study investigates how tumor-induced alterations in prโ€ฆ

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A k-space approach to modeling multi-channel parametric array loudspeaker systems

Tao Zhuang, Longbiao He, Feng Niu, Jia-Xin Zhong, Jing Lu ยท 2025

Multi-channel parametric array loudspeaker (MCPAL) systems offer enhanced flexibility and promise for generating highly directional audio beams in real-world applications. However, efficient and accurโ€ฆ

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Engineering Preprint PDF DOI

Whole-brain Transferable Representations from Large-Scale fMRI Data Improve Task-Evoked Brain Activity Decoding

Yueh-Po Peng, Vincent K.M. Cheung, Li Su ยท 2025

A fundamental challenge in neuroscience is to decode mental states from brain activity. While functional magnetic resonance imaging (fMRI) offers a non-invasive approach to capture brain-wide neural dโ€ฆ

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Engineering Preprint PDF DOI

Data-Driven Greenhouse Climate Regulation in Lettuce Cultivation Using BiLSTM and GRU Predictive Control

Soumo Emmanuel Arnaud, Marcello Calisti, Athanasios Polydoros ยท 2025

Efficient greenhouse management is essential for sustainable food production, but the high energy demand for climate regulation poses significant economic and environmental challenges. While traditionโ€ฆ

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Engineering Preprint PDF DOI

Onboard Hyperspectral Super-Resolution with Deep Pushbroom Neural Network

Davide Piccinini, Diego Valsesia, Enrico Magli ยท 2025

Hyperspectral imagers on satellites obtain the fine spectral signatures essential for distinguishing one material from another at the expense of limited spatial resolution. Enhancing the latter is thuโ€ฆ

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Efficient Adjoint Petrov-Galerkin Reduced Order Models for fluid flows governed by the incompressible Navier-Stokes equations

Kamil David Sommer, Lucas Mieg, Siddharth Sharma, Romuald Skoda, Martin Monnigmann ยท 2025

This research paper investigates the Adjoint Petrov-Galerkin (APG) method for reduced order models (ROM) and fluid dynamics governed by the incompressible Navier-Stokes equations. The Adjoint Petrov-Gโ€ฆ

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Engineering Preprint PDF DOI

Think, Act, Learn: A Framework for Autonomous Robotic Agents using Closed-Loop Large Language Models

Anjali R. Menon, Rohit K. Sharma, Priya Singh, Chengyu Wang, Aurora M. Ferreira, Mateja Novak ยท 2025

The integration of Large Language Models (LLMs) into robotics has unlocked unprecedented capabilities in high-level task planning. However, most current systems operate in an open-loop fashion, where โ€ฆ

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Channel Estimation in Massive MIMO Systems with Orthogonal Delay-Doppler Division Multiplexing

Dezhi Wang, Chongwen Huang, Xiaojun Yuan, Sami Muhaidat, Lei Liu, Xiaoming Chen, Zhaoyang Zhang, Chau Yuen, Merouane Debbah ยท 2025

Orthogonal delay-Doppler division multiplexing~(ODDM) modulation has recently been regarded as a promising technology to provide reliable communications in high-mobility situations. Accurate and low-cโ€ฆ

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