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

Safety Enhancement in Planetary Rovers: Early Detection of Tip-over Risks Using Autoencoders

Mariela De Lucas Alvarez ยท 2024

Autonomous robots consistently encounter unforeseen dangerous situations during exploration missions. The characteristic rimless wheels in the AsguardIV rover allow it to overcome challenging terrainsโ€ฆ

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Engineering Preprint PDF DOI

VLM-MPC: Vision Language Foundation Model (VLM)-Guided Model Predictive Controller (MPC) for Autonomous Driving

Keke Long, Haotian Shi, Jiaxi Liu, Xiaopeng Li ยท 2024

Motivated by the emergent reasoning capabilities of Vision Language Models (VLMs) and their potential to improve the comprehensibility of autonomous driving systems, this paper introduces a closed-looโ€ฆ

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Engineering Preprint PDF DOI

Artificial Intelligence based Approach for Identification and Mitigation of Cyber-Attacks in Wide-Area Control of Power Systems

Jishnudeep Kar, Aranya Chakrabortty ยท 2024

We propose a generative adversarial network (GAN) based deep learning method that serves the dual role of both identification and mitigation of cyber-attacks in wide-area damping control loops of poweโ€ฆ

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Engineering Preprint PDF DOI

Training on the Fly: On-device Self-supervised Learning aboard Nano-drones within 20 mW

Elia Cereda, Alessandro Giusti, Daniele Palossi ยท 2024

Miniaturized cyber-physical systems (CPSes) powered by tiny machine learning (TinyML), such as nano-drones, are becoming an increasingly attractive technology. Their small form factor (i.e., ~10cm diaโ€ฆ

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Engineering Preprint PDF DOI

Online Electric Vehicle Charging Detection Based on Memory-based Transformer using Smart Meter Data

Ammar Mansoor Kamoona, Hui Song, Mahdi Jalili, Hao Wang, Reza Razzaghi, Xinghuo Yu ยท 2024

The growing popularity of Electric Vehicles (EVs) poses unique challenges for grid operators and infrastructure, which requires effectively managing these vehicles' integration into the grid. Identifiโ€ฆ

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Engineering Preprint PDF DOI

StoDIP: Efficient 3D MRF image reconstruction with deep image priors and stochastic iterations

Perla Mayo, Matteo Cencini, Carolin M. Pirkl, Marion I. Menzel, Michela Tosetti, Bjoern H. Menze, Mohammad Golbabaee ยท 2024

Magnetic Resonance Fingerprinting (MRF) is a time-efficient approach to quantitative MRI for multiparametric tissue mapping. The reconstruction of quantitative maps requires tailored algorithms for reโ€ฆ

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Engineering Preprint PDF DOI

Zero-Shot Surgical Tool Segmentation in Monocular Video Using Segment Anything Model 2

Ange Lou, Yamin Li, Yike Zhang, Robert F. Labadie, Jack Noble ยท 2024

The Segment Anything Model 2 (SAM 2) is the latest generation foundation model for image and video segmentation. Trained on the expansive Segment Anything Video (SA-V) dataset, which comprises 35.5 miโ€ฆ

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Engineering Preprint PDF DOI

AI-Enabled sensor fusion of time of flight imaging and mmwave for concealed metal detection

Chaitanya Kaul, Kevin J. Mitchell, Khaled Kassem, Athanasios Tragakis, Valentin Kapitany, Ilya Starshynov, Federica Villa, Roderick Murray-Smith, Daniele Faccio ยท 2024

In the field of detection and ranging, multiple complementary sensing modalities may be used to enrich the information obtained from a dynamic scene. One application of this sensor fusion is in publicโ€ฆ

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AMAES: Augmented Masked Autoencoder Pretraining on Public Brain MRI Data for 3D-Native Segmentation

Asbj{o}rn Munk, Jakob Ambsdorf, Sebastian Llambias, Mads Nielsen ยท 2024

This study investigates the impact of self-supervised pretraining of 3D semantic segmentation models on a large-scale, domain-specific dataset. We introduce BRAINS-45K, a dataset of 44,756 brain MRI vโ€ฆ

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Joint Vehicle Connection and Beamforming Optimization in Digital Twin Assisted Integrated Sensing and Communication Vehicular Networks

Weihang Ding, Zhaohui Yang, Mingzhe Chen, Yuchen Liu, Mohammad Shikh-Bahaei ยท 2024

This paper introduces an approach to harness digital twin (DT) technology in the realm of integrated sensing and communications (ISAC) in the sixth-generation (6G) Internet-of-everything (IoE) applicaโ€ฆ

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Engineering Preprint PDF DOI

LSTM-Based Net Load Forecasting for Wind and Solar Power-Equipped Microgrids

Jesus Silva-Rodriguez, Elias Raffoul, Xingpeng Li ยท 2024

The rising integration of variable renewable energy sources (RES), like solar and wind power, introduces considerable uncertainty in grid operations and energy management. Effective forecasting modelsโ€ฆ

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Engineering Preprint PDF DOI

Cell-free Massive MIMO with Sequential Fronthaul Architecture and Limited Memory Access Points

Vida Ranjbar, Robbert Beerten, Marc Moonen, Sofie Pollin ยท 2024

Cell-free massive multiple-input multiple-output (CFmMIMO) is a paradigm that can improve users' spectral efficiency (SE) far beyond traditional cellular networks. Increased spatial diversity in CFmMIโ€ฆ

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Exploiting Change Blindness for Video Coding: Perspectives from a Less Promising User Study

Mitra Amiri, Steven Le Moan, Christian Herglotz ยท 2024

What the human visual system can perceive is strongly limited by the capacity of our working memory and attention. Such limitations result in the human observer's inability to perceive large-scale chaโ€ฆ

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Edge Learning Based Collaborative Automatic Modulation Classification for Hierarchical Cognitive Radio Networks

Peihao Dong, Chaowei He, Shen Gao, Fuhui Zhou, Qihui Wu ยท 2024

In hierarchical cognitive radio networks, edge or cloud servers utilize the data collected by edge devices for modulation classification, which, however, is faced with problems of the computation loadโ€ฆ

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Aero-Nef: Neural Fields for Rapid Aircraft Aerodynamics Simulations

Giovanni Catalani, Siddhant Agarwal, Xavier Bertrand, Frederic Tost, Michael Bauerheim, Joseph Morlier ยท 2024

This paper presents a methodology to learn surrogate models of steady state fluid dynamics simulations on meshed domains, based on Implicit Neural Representations (INRs). The proposed models can be apโ€ฆ

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RRAM-Based Bio-Inspired Circuits for Mobile Epileptic Correlation Extraction and Seizure Prediction

Hao Wang, Lingfeng Zhang, Erjia Xiao, Xin Wang, Zhongrui Wang, Renjing Xu ยท 2024

Non-invasive mobile electroencephalography (EEG) acquisition systems have been utilized for long-term monitoring of seizures, yet they suffer from limited battery life. Resistive random access memory โ€ฆ

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Frequency & Channel Attention Network for Small Footprint Noisy Spoken Keyword Spotting

Yuanxi Lin, Yuriy Evgenyevich Gapanyuk ยท 2024

In this paper, we aim to improve the robustness of Keyword Spotting (KWS) systems in noisy environments while keeping a small memory footprint. We propose a new convolutional neural network (CNN) callโ€ฆ

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EPD: Long-term Memory Extraction, Context-awared Planning and Multi-iteration Decision @ EgoPlan Challenge ICML 2024

Letian Shi, Qi Lv, Xiang Deng, Liqiang Nie ยท 2024

In this technical report, we present our solution for the EgoPlan Challenge in ICML 2024. To address the real-world egocentric task planning problem, we introduce a novel planning framework which compโ€ฆ

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Symmetric Locality: Definition and Initial Results

Giordan Escalona, Dylan McKellips, Chen Ding ยท 2024

In this short paper, we characterize symmetric locality. In designing algorithms, compilers, and systems, data movement is a common bottleneck in high-performance computation, in which we improve cachโ€ฆ

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An Adaptive CSI Feedback Model Based on BiLSTM for Massive MIMO-OFDM Systems

Hongrui Shen, Long Zhao, Kan Zheng, Yuhua Cao, Pingzhi Fan ยท 2024

Deep learning (DL)-based channel state information (CSI) feedback has the potential to improve the recovery accuracy and reduce the feedback overhead in massive multiple-input multiple-output orthogonโ€ฆ

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