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

SaViD: Spectravista Aesthetic Vision Integration for Robust and Discerning 3D Object Detection in Challenging Environments

Tanmoy Dam, Sanjay Bhargav Dharavath, Sameer Alam, Nimrod Lilith, Aniruddha Maiti, Supriyo Chakraborty, Mir Feroskhan ยท 2025

The fusion of LiDAR and camera sensors has demonstrated significant effectiveness in achieving accurate detection for short-range tasks in autonomous driving. However, this fusion approach could face โ€ฆ

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Engineering Preprint PDF DOI

Channel impulse response peak clustering using neural networks

Petr Horky, Ales Prokes, Radek Zavorka, Josef Vychodil, Jan M. Kelner, Cezary Ziolkowski, Aniruddha Chandra ยท 2025

This paper introduces an approach to process channel sounder data acquired from Channel Impulse Response (CIR) of 60GHz and 80GHz channel sounder systems, through the integration of Long Short-Term Meโ€ฆ

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Engineering Preprint PDF DOI

Exploiting Temporal State Space Sharing for Video Semantic Segmentation

Syed Ariff Syed Hesham, Yun Liu, Guolei Sun, Henghui Ding, Jing Yang, Ender Konukoglu, Xue Geng, Xudong Jiang ยท 2025

Video semantic segmentation (VSS) plays a vital role in understanding the temporal evolution of scenes. Traditional methods often segment videos frame-by-frame or in a short temporal window, leading tโ€ฆ

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Engineering Preprint PDF DOI

CubeRobot: Grounding Language in Rubik's Cube Manipulation via Vision-Language Model

Feiyang Wang, Xiaomin Yu, Wangyu Wu ยท 2025

Proving Rubik's Cube theorems at the high level represents a notable milestone in human-level spatial imagination and logic thinking and reasoning. Traditional Rubik's Cube robots, relying on complex โ€ฆ

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Engineering Preprint PDF DOI

Learning Beamforming Codebooks for Active Sensing with Reconfigurable Intelligent Surface

Zhongze Zhang, Wei Yu ยท 2025

This paper explores the design of beamforming codebooks for the base station (BS) and for the reconfigurable intelligent surfaces (RISs) in an active sensing scheme for uplink localization, in which tโ€ฆ

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Engineering Preprint PDF DOI

Splat-LOAM: Gaussian Splatting LiDAR Odometry and Mapping

Emanuele Giacomini, Luca Di Giammarino, Lorenzo De Rebotti, Giorgio Grisetti, Martin R. Oswald ยท 2025

LiDARs provide accurate geometric measurements, making them valuable for ego-motion estimation and reconstruction tasks. Although its success, managing an accurate and lightweight representation of thโ€ฆ

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Engineering Preprint PDF DOI

Deep End-to-End Posterior ENergy (DEEPEN) for image recovery

Jyothi Rikhab Chand, Mathews Jacob ยท 2025

Current end-to-end (E2E) and plug-and-play (PnP) image reconstruction algorithms approximate the maximum a posteriori (MAP) estimate but cannot offer sampling from the posterior distribution, like difโ€ฆ

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Engineering Preprint PDF DOI

Parallel Domain-Decomposition Algorithms for Complexity Certification of Branch-and-Bound Algorithms for Mixed-Integer Linear and Quadratic Programming

Shamisa Shoja, Daniel Arnstrom, Daniel Axehill ยท 2025

When implementing model predictive control (MPC) for hybrid systems with a linear or a quadratic performance measure, a mixed-integer linear program (MILP) or a mixed-integer quadratic program (MIQP) โ€ฆ

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Engineering Preprint PDF DOI

Automated Functional Decomposition for Hybrid Zonotope Over-approximations with Application to LSTM Networks

Jonah J. Glunt, Jacob A. Siefert, Andrew F. Thompson, Justin Ruths, Herschel C. Pangborn ยท 2025

Functional decomposition is a powerful tool for systems analysis because it can reduce a function of arbitrary input dimensions to the sum and superposition of functions of a single variable, thereby โ€ฆ

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Engineering Preprint PDF DOI

Volumetric Reconstruction From Partial Views for Task-Oriented Grasping

Fujian Yan, Hui Li, Hongsheng He ยท 2025

Object affordance and volumetric information are essential in devising effective grasping strategies under task-specific constraints. This paper presents an approach for inferring suitable grasping stโ€ฆ

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Engineering Preprint PDF DOI

DRoPE: Directional Rotary Position Embedding for Efficient Agent Interaction Modeling

Jianbo Zhao, Taiyu Ban, Zhihao Liu, Hangning Zhou, Xiyang Wang, Qibin Zhou, Hailong Qin, Mu Yang, Lei Liu, Bin Li ยท 2025

Accurate and efficient modeling of agent interactions is essential for trajectory generation, the core of autonomous driving systems. Existing methods, scene-centric, agent-centric, and query-centric โ€ฆ

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Engineering Preprint PDF DOI

Modeling, Embedded Control and Design of Soft Robots using a Learned Condensed FEM Model

Etienne Menager (WILLOW, DI-ENS), Tanguy Navez (DEFROST), Paul Chaillou (DEFROST, CRIStAL), Olivier Goury (INSERM, DEFROST), Alexandre Kruszewski (DEFROST, CRIStAL), Christian Duriez (DEFROST, CRIStAL) ยท 2025

The Finite Element Method (FEM) is a powerful modeling tool for predicting soft robots' behavior, but its computation time can limit practical applications. In this paper, a learning-based approach baโ€ฆ

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Engineering Preprint PDF DOI

Involution and BSConv Multi-Depth Distillation Network for Lightweight Image Super-Resolution

Akram Khatami-Rizi, Ahmad Mahmoudi-Aznaveh ยท 2025

Single-image super-resolution (SISR) is a fundamental problem in computer vision that aims to reconstruct high-resolution (HR) images from low-resolution (LR) inputs. Although convolutional neural netโ€ฆ

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Engineering Preprint PDF DOI

Bridging Past and Future: End-to-End Autonomous Driving with Historical Prediction and Planning

Bozhou Zhang, Nan Song, Xin Jin, Li Zhang ยท 2025

End-to-end autonomous driving unifies tasks in a differentiable framework, enabling planning-oriented optimization and attracting growing attention. Current methods aggregate historical information eiโ€ฆ

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Engineering Preprint PDF DOI

Tensor-decomposition-based A Priori Surrogate (TAPS) modeling for ultra large-scale simulations

Jiachen Guo, Gino Domel, Chanwook Park, Hantao Zhang, Ozgur Can Gumus, Ye Lu, Gregory J. Wagner, Dong Qian, Jian Cao, Thomas J.R. Hughes, Wing Kam Liu ยท 2025

A data-free, predictive scientific AI model, Tensor-decomposition-based A Priori Surrogate (TAPS), is proposed for tackling ultra large-scale engineering simulations with significant speedup, memory sโ€ฆ

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Engineering Preprint PDF DOI

Subgroup Performance of a Commercial Digital Breast Tomosynthesis Model for Breast Cancer Detection

Beatrice Brown-Mulry, Rohan Satya Isaac, Sang Hyup Lee, Ambika Seth, KyungJee Min, Theo Dapamede, Frank Li, Aawez Mansuri, MinJae Woo, Christian Allison Fauria-Robinson, Bhavna Paryani, Judy Wawira Gichoya, Hari Trivedi ยท 2025

While research has established the potential of AI models for mammography to improve breast cancer screening outcomes, there have not been any detailed subgroup evaluations performed to assess the strโ€ฆ

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Engineering Preprint PDF DOI

Audio Compression using Periodic Gabor with Biorthogonal Exchange: Implementation Using the Zak Transform

Roger Alimi, David J. Tannor ยท 2025

An efficient new approach to signal compression is presented based of a novel variation on the Gabor basis set. Following earlier work by Shimshovitz and Tannor, we convolve the conventional Gabor funโ€ฆ

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Engineering Preprint PDF DOI

Epidemic Forecasting with a Hybrid Deep Learning Method Using CNN-LSTM With WOA-GWO Parameter Optimization: Global COVID-19 Case Study

Mousa Alizadeh, Mohammad Hossein Samaei, Azam Seilsepour, Alireza Monavarian, Mohammad TH Beheshti ยท 2025

Effective epidemic modeling is essential for managing public health crises, requiring robust methods to predict disease spread and optimize resource allocation. This study introduces a novel deep learโ€ฆ

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Engineering Preprint PDF DOI

Fourier-Based 3D Multistage Transformer for Aberration Correction in Multicellular Specimens

Thayer Alshaabi, Daniel E. Milkie, Gaoxiang Liu, Cyna Shirazinejad, Jason L. Hong, Kemal Achour, Frederik Gorlitz, Ana Milunovic-Jevtic, Cat Simmons, Ibrahim S. Abuzahriyeh, Erin Hong, Samara Erin Williams, Nathanael Harrison, Evan Huang, Eun Seok Bae, Alison N. Killilea, David G. Drubin, Ian A. Swinburne, Srigokul Upadhyayula, Eric Betzig ยท 2025

High-resolution tissue imaging is often compromised by sample-induced optical aberrations that degrade resolution and contrast. While wavefront sensor-based adaptive optics (AO) can measure these aberโ€ฆ

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Engineering Preprint PDF DOI

Lithium-ion Battery Capacity Prediction via Conditional Recurrent Generative Adversarial Network-based Time-Series Regeneration

Myisha A. Chowdhury, Gift Modekwe, Qiugang Lu ยท 2025

Accurate capacity prediction is essential for the safe and reliable operation of batteries by anticipating potential failures beforehand. The performance of state-of-the-art capacity prediction methodโ€ฆ

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