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

Probable Object Location (POLo) Score Estimation for Efficient Object Goal Navigation

Jiaming Wang, Harold Soh ยท 2023

To advance the field of autonomous robotics, particularly in object search tasks within unexplored environments, we introduce a novel framework centered around the Probable Object Location (POLo) scorโ€ฆ

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Engineering Preprint PDF DOI

GOAT: GO to Any Thing

Matthew Chang, Theophile Gervet, Mukul Khanna, Sriram Yenamandra, Dhruv Shah, So Yeon Min, Kavit Shah, Chris Paxton, Saurabh Gupta, Dhruv Batra, Roozbeh Mottaghi, Jitendra Malik, Devendra Singh Chaplot ยท 2023

In deployment scenarios such as homes and warehouses, mobile robots are expected to autonomously navigate for extended periods, seamlessly executing tasks articulated in terms that are intuitively undโ€ฆ

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Engineering Preprint PDF DOI

Decoding EEG-based Workload Levels Using Spatio-temporal Features Under Flight Environment

Dae-Hyeok Lee, Sung-Jin Kim, Si-Hyun Kim, Seong-Whan Lee ยท 2023

The detection of pilots' mental states is important due to the potential for their abnormal mental states to result in catastrophic accidents. This study introduces the feasibility of employing deep lโ€ฆ

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Engineering Preprint PDF DOI

Chrono DEM-Engine: A Discrete Element Method dual-GPU simulator with customizable contact forces and element shape

Ruochun Zhang, Bonaventura Tagliafierro, Colin Vanden Heuvel, Shlok Sabarwal, Luning Bakke, Yulong Yue, Xin Wei, Radu Serban, Dan Negrut ยท 2023

This paper introduces DEM-Engine, a new submodule of Project Chrono, that is designed to carry out Discrete Element Method (DEM) simulations. Based on spherical primitive shapes, DEM-Engine can simulaโ€ฆ

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Engineering Preprint PDF DOI

Asynchronous Message-Passing and Zeroth-Order Optimization Based Distributed Learning with a Use-Case in Resource Allocation in Communication Networks

Pourya Behmandpoor, Marc Moonen, Panagiotis Patrinos ยท 2023

Distributed learning and adaptation have received significant interest and found wide-ranging applications in machine learning and signal processing. While various approaches, such as shared-memory opโ€ฆ

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Engineering Preprint PDF DOI

MeVGAN: GAN-based Plugin Model for Video Generation with Applications in Colonoscopy

{L}ukasz Struski, Tomasz Urbanczyk, Krzysztof Bucki, Bart{l}omiej Cupia{l}, Aneta Kaczynska, Przemys{l}aw Spurek, Jacek Tabor ยท 2023

Video generation is important, especially in medicine, as much data is given in this form. However, video generation of high-resolution data is a very demanding task for generative models, due to the โ€ฆ

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Engineering Preprint PDF DOI

A Fast Algorithm for Low Rank + Sparse column-wise Compressive Sensing

Silpa Babu, Namrata Vaswani ยท 2023

This paper focuses studies the following low rank + sparse (LR+S) column-wise compressive sensing problem. We aim to recover an $n \times q$ matrix, $\X^* =[ \x_1^*, \x_2^*, \cdots , \x_q^*]$ from $m$โ€ฆ

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DDPET-3D: Dose-aware Diffusion Model for 3D Ultra Low-dose PET Imaging

Huidong Xie, Weijie Gan, Bo Zhou, Xiongchao Chen, Qiong Liu, Xueqi Guo, Liang Guo, Hongyu An, Ulugbek S. Kamilov, Ge Wang, Chi Liu ยท 2023

As PET imaging is accompanied by substantial radiation exposure and cancer risk, reducing radiation dose in PET scans is an important topic. Recently, diffusion models have emerged as the new state-ofโ€ฆ

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Enhancing Understanding of Driving Attributes through Quantitative Assessment of Driver Cognition

Pallabjyoti Kakoti, Mukesh Kumar Kamti, Rauf Iqbal, Eeshankur Saikia ยท 2023

This paper presents a novel approach for analysing EEG data from drivers in a simulated driving test. We focused on the Hurst exponent, Shannon entropy, and fractal dimension as markers of the nonlineโ€ฆ

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Low Overhead Beam Alignment for Mobile Millimeter Channel Based on Continuous-Time Prediction

Huang-Chou Lin, Kuang-Hao (Stanley) Liu ยท 2023

In millimeter-wave (mmWave) communications, directional transmission based on beamforming is important to compensate for high pathloss. To maintain the desired direction transmission gain, beam scanniโ€ฆ

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An Efficient Detection and Control System for Underwater Docking using Machine Learning and Realistic Simulation: A Comprehensive Approach

Jalil Chavez-Galaviz, Jianwen Li, Matthew Bergman, Miras Mengdibayev, Nina Mahmoudian ยท 2023

Underwater docking is critical to enable the persistent operation of Autonomous Underwater Vehicles (AUVs). For this, the AUV must be capable of detecting and localizing the docking station, which is โ€ฆ

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MTAC: Hierarchical Reinforcement Learning-based Multi-gait Terrain-adaptive Quadruped Controller

Nishaant Shah, Kshitij Tiwari, Aniket Bera ยท 2023

Urban search and rescue missions require rapid first response to minimize loss of life and damage. Often, such efforts are assisted by humanitarian robots which need to handle dynamic operational condโ€ฆ

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Density Estimation for Entry Guidance Problems using Deep Learning

Jens A. Rataczak, Davide Amato, Jay W. McMahon ยท 2023

This work presents a deep-learning approach to estimate atmospheric density profiles for use in planetary entry guidance problems. A long short-term memory (LSTM) neural network is trained to learn thโ€ฆ

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FetusMapV2: Enhanced Fetal Pose Estimation in 3D Ultrasound

Chaoyu Chen, Xin Yang, Yuhao Huang, Wenlong Shi, Yan Cao, Mingyuan Luo, Xindi Hu, Lei Zhue, Lequan Yu, Kejuan Yue, Yuanji Zhang, Yi Xiong, Dong Ni, Weijun Huang ยท 2023

Fetal pose estimation in 3D ultrasound (US) involves identifying a set of associated fetal anatomical landmarks. Its primary objective is to provide comprehensive information about the fetus through lโ€ฆ

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Two-stage space construction for real-time modeling of distributed parameter systems under sparse sensing

Peng Wei ยท 2023

Numerous industrial processes can be defined using distributed parameter systems (DPSs). This study introduces a two-stage spatial construction approach for real-time modeling of DPSs in cases of limiโ€ฆ

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Alzheimers Disease Diagnosis by Deep Learning Using MRI-Based Approaches

Sarasadat Foroughipoor, Kimia Moradi, Hamidreza Bolhasani ยท 2023

The most frequent kind of dementia of the nervous system, Alzheimer's disease, weakens several brain processes (such as memory) and eventually results in death. The clinical study uses magnetic resonaโ€ฆ

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Explainable Gated Bayesian Recurrent Neural Network for Non-Markov State Estimation

Shi Yan, Yan Liang, Le Zheng, Mingyang Fan, Xiaoxu Wang, Binglu Wang ยท 2023

The optimality of Bayesian filtering relies on the completeness of prior models, while deep learning holds a distinct advantage in learning models from offline data. Nevertheless, the current fusion oโ€ฆ

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TinyMPC: Model-Predictive Control on Resource-Constrained Microcontrollers

Anoushka Alavilli, Khai Nguyen, Sam Schoedel, Brian Plancher, Zachary Manchester ยท 2023

Model-predictive control (MPC) is a powerful tool for controlling highly dynamic robotic systems subject to complex constraints. However, MPC is computationally demanding, and is often impractical to โ€ฆ

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Fast multiplication of random dense matrices with fixed sparse matrices

Tianyu Liang, Riley Murray, Ayd{i}n Buluc, James Demmel ยท 2023

This work focuses on accelerating the multiplication of a dense random matrix with a (fixed) sparse matrix, which is frequently used in sketching algorithms. We develop a novel scheme that takes advanโ€ฆ

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Optimizing IoT-Based Asset and Utilization Tracking: Efficient Activity Classification with MiniRocket on Resource-Constrained Devices

Marco Giordano, Silvano Cortesi, Michele Crabolu, Lavinia Pedrollo, Giovanni Bellusci, Tommaso Bendinelli, Engin Turetken, Andrea Dunbar, Michele Magno ยท 2023

This paper introduces an effective solution for retrofitting construction power tools with low-power IoT to enable accurate activity classification. We address the challenge of distinguishing between โ€ฆ

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