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

Online Phase Estimation of Human Oscillatory Motions using Deep Learning

Antonio Grotta, Francesco De Lellis ยท 2025

Accurately estimating the phase of oscillatory systems is essential for analyzing cyclic activities such as repetitive gestures in human motion. In this work we introduce a learning-based approach forโ€ฆ

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Engineering Preprint PDF DOI

OASIS: Optimized Lightweight Autoencoder System for Distributed In-Sensor computing

Chengwei Zhou, Sreetama Sarkar, Yuming Li, Arnab Sanyal, Gourav Datta ยท 2025

In-sensor computing, which integrates computation directly within the sensor, has emerged as a promising paradigm for machine vision applications such as AR/VR and smart home systems. By processing daโ€ฆ

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Engineering Preprint PDF DOI

Prompt-responsive Object Retrieval with Memory-augmented Student-Teacher Learning

Malte Mosbach, Sven Behnke ยท 2025

Building models responsive to input prompts represents a transformative shift in machine learning. This paradigm holds significant potential for robotics problems, such as targeted manipulation amidstโ€ฆ

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Accelerating Volumetric Medical Image Annotation via Short-Long Memory SAM 2

Yuwen Chen, Zafer Yildiz, Qihang Li, Yaqian Chen, Haoyu Dong, Hanxue Gu, Nicholas Konz, Maciej A. Mazurowski ยท 2025

Manual annotation of volumetric medical images, such as magnetic resonance imaging (MRI) and computed tomography (CT), is a labor-intensive and time-consuming process. Recent advancements in foundatioโ€ฆ

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Engineering Preprint PDF DOI

A brain-inspired generative model for EEG-based cognitive state identification

Bin Hu, Zhi-Hong Guan ยท 2025

This article proposes a brain-inspired generative (BIG) model that merges an impulsive-attention neural network and a variational autoencoder (VAE) for identifying cognitive states based on electroencโ€ฆ

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Engineering Preprint PDF DOI

Enhanced Prediction Model for Time Series Characterized by GARCH via Interval Type-2 Fuzzy Inference System

Hongpei Shao, Da-Qing Zhang, Feilong Lu ยท 2025

GARCH-type time series (characterized by Generalized Autoregressive Conditional Heteroskedasticity) exhibit pronounced volatility, autocorrelation, and heteroskedasticity. To address these challenges โ€ฆ

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Engineering Preprint PDF DOI

Transfer Learning-Based Deep Residual Learning for Speech Recognition in Clean and Noisy Environments

Noussaiba Djeffal, Djamel Addou, Hamza Kheddar, Sid Ahmed Selouani ยท 2025

Addressing the detrimental impact of non-stationary environmental noise on automatic speech recognition (ASR) has been a persistent and significant research focus. Despite advancements, this challengeโ€ฆ

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Engineering Preprint PDF DOI

Memory-less and Backscatter-less Tunnel Diode Harmonic Signatures for RFID

Christopher Saetia, Kaitlyn Graves, Serhat Tadik, Gregory D. Durgin ยท 2025

Tunnel diodes have traditionally been researched for extending backscatter read-ranges for ultra-high-frequency (UHF) radio-frequency identification (RFID) tags as reflection amplifiers. This paper exโ€ฆ

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Engineering Preprint PDF DOI

WirelessAgent: Large Language Model Agents for Intelligent Wireless Networks

Jingwen Tong, Wei Guo, Jiawei Shao, Qiong Wu, Zijian Li, Zehong Lin, Jun Zhang ยท 2025

The rapid evolution of wireless networks presents unprecedented challenges in managing complex and dynamic systems. Existing methods are increasingly facing fundamental limitations in addressing theseโ€ฆ

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Smart Environmental Monitoring of Marine Pollution using Edge AI

Mohamed Moursi, Norbert Wehn, Bilal Hammoud ยท 2025

Oil spill incidents pose severe threats to marine ecosystems and coastal environments, necessitating rapid detection and monitoring capabilities to mitigate environmental damage. In this paper, we demโ€ฆ

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LLM-Empowered Embodied Agent for Memory-Augmented Task Planning in Household Robotics

Marc Glocker, Peter Honig, Matthias Hirschmanner, Markus Vincze ยท 2025

We present an embodied robotic system with an LLM-driven agent-orchestration architecture for autonomous household object management. The system integrates memory-augmented task planning, enabling robโ€ฆ

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Random Features for Grassmannian Kernels

Remi Delogne, Laurent Jacques ยท 2025

The Grassmannian manifold G(k, n) serves as a fundamental tool in signal processing, computer vision, and machine learning, where problems often involve classifying, clustering, or comparing subspacesโ€ฆ

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DeltaDPD: Exploiting Dynamic Temporal Sparsity in Recurrent Neural Networks for Energy-Efficient Wideband Digital Predistortion

Yizhuo Wu, Yi Zhu, Kun Qian, Qinyu Chen, Anding Zhu, John Gajadharsing, Leo C. N. de Vreede, Chang Gao ยท 2025

Digital Predistortion (DPD) is a popular technique to enhance signal quality in wideband RF power amplifiers (PAs). With increasing bandwidth and data rates, DPD faces significant energy consumption cโ€ฆ

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A state reduction approach for learning-based model predictive control for train rescheduling

Caio Fabio Oliveira da Silva, Xiaoyu Liu, Azita Dabiri, Bart De Schutter ยท 2025

This paper proposes a state reduction method for learning-based model predictive control (MPC) for train rescheduling in urban rail transit systems. The state reduction integrates into a control frameโ€ฆ

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Feelbert: A Feedback Linearization-based Embedded Real-Time Quadrupedal Locomotion Framework

Aristide Emanuele Casucci, Federico Nesti, Mauro Marinoni, Giorgio Buttazzo ยท 2025

Quadruped robots have become quite popular for their ability to adapt their locomotion to generic uneven terrains. For this reason, over time, several frameworks for quadrupedal locomotion have been pโ€ฆ

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Model-based controller assisted domain randomization for transient vibration suppression of nonlinear powertrain system with parametric uncertainty

Heisei Yonezawa, Ansei Yonezawa, Itsuro Kajiwara ยท 2025

Complex mechanical systems such as vehicle powertrains are inherently subject to multiple nonlinearities and uncertainties arising from parametric variations. Modeling errors are therefore unavoidableโ€ฆ

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Bearing-Only Tracking and Circumnavigation of a Fast Time-Varied Velocity Target Utilising an LSTM

Mitchell Torok, Mohammad Deghat, Yang Song ยท 2025

Bearing-only tracking, localisation, and circumnavigation is a problem in which a single or a group of agents attempts to track a target while circumnavigating it at a fixed distance using only bearinโ€ฆ

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Generative AI in Embodied Systems: System-Level Analysis of Performance, Efficiency and Scalability

Zishen Wan, Jiayi Qian, Yuhang Du, Jason Jabbour, Yilun Du, Yang Katie Zhao, Arijit Raychowdhury, Tushar Krishna, Vijay Janapa Reddi ยท 2025

Embodied systems, where generative autonomous agents engage with the physical world through integrated perception, cognition, action, and advanced reasoning powered by large language models (LLMs), hoโ€ฆ

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Improved Dwell-times for Switched Nonlinear Systems using Memory Regression Extension

Muzaffar Qureshi, Tochukwu Elijah Ogri, Humberto Ramos, Wanjiku A. Makumi, Zachary I. Bell, Rushikesh Kamalapurkar ยท 2025

This paper presents a switched systems approach for extending the dwell-time of an autonomous agent during GPS-denied operation by leveraging memory regressor extension (MRE) techniques. To maintain aโ€ฆ

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NUDF: Neural Unsigned Distance Fields for high resolution 3D medical image segmentation

Kristine S{o}rensen, Oscar Camara, Ole de Backer, Klaus Kofoed, Rasmus Paulsen ยท 2025

Medical image segmentation is often considered as the task of labelling each pixel or voxel as being inside or outside a given anatomy. Processing the images at their original size and resolution ofteโ€ฆ

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