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

Robo-ABC: Affordance Generalization Beyond Categories via Semantic Correspondence for Robot Manipulation

Yuanchen Ju, Kaizhe Hu, Guowei Zhang, Gu Zhang, Mingrun Jiang, Huazhe Xu ยท 2024

Enabling robotic manipulation that generalizes to out-of-distribution scenes is a crucial step toward open-world embodied intelligence. For human beings, this ability is rooted in the understanding ofโ€ฆ

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Engineering Preprint PDF DOI

MorpheusNet: Resource efficient sleep stage classifier for embedded on-line systems

Ali Kavoosi, Morgan P. Mitchell, Raveen Kariyawasam, John E. Fleming, Penny Lewis, Heidi Johansen-Berg, Hayriye Cagnan, Timothy Denison ยท 2024

Sleep Stage Classification (SSC) is a labor-intensive task, requiring experts to examine hours of electrophysiological recordings for manual classification. This is a limiting factor when it comes to โ€ฆ

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Engineering Preprint PDF DOI

3QFP: Efficient neural implicit surface reconstruction using Tri-Quadtrees and Fourier feature Positional encoding

Shuo Sun, Malcolm Mielle, Achim J. Lilienthal, Martin Magnusson ยท 2024

Neural implicit surface representations are currently receiving a lot of interest as a means to achieve high-fidelity surface reconstruction at a low memory cost, compared to traditional explicit reprโ€ฆ

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Engineering Preprint PDF DOI

Dense Optical Flow Estimation Using Sparse Regularizers from Reduced Measurements

Muhammad Wasim Nawaz, Abdesselam Bouzerdoum, Muhammad Mahboob Ur Rahman, Ghulam Abbas, Faizan Rashid ยท 2024

Optical flow is the pattern of apparent motion of objects in a scene. The computation of optical flow is a critical component in numerous computer vision tasks such as object detection, visual object โ€ฆ

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Engineering Preprint PDF DOI

End-to-End Learning for SLP-Based ISAC Systems

Yixian Zheng, Rang Liu, Ming Li, Qian Liu ยท 2024

Integrated sensing and communication (ISAC) is an encouraging wireless technology which can simultaneously perform both radar and communication functionalities by sharing the same transmit waveform, sโ€ฆ

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Engineering Preprint PDF DOI

Model-Driven Dataset Generation for Data-Driven Battery SOH Models

Khaled Sidahmed Sidahmed Alamin, Francesco Daghero, Giovanni Pollo, Daniele Jahier Pagliari, Yukai Chen, Enrico Macii, Massimo Poncino, Sara Vinco ยท 2024

Estimating the State of Health (SOH) of batteries is crucial for ensuring the reliable operation of battery systems. Since there is no practical way to instantaneously measure it at run time, a model โ€ฆ

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Engineering Preprint PDF DOI

IntervalMDP.jl: Accelerated Value Iteration for Interval Markov Decision Processes

Frederik Baymler Mathiesen, Morteza Lahijanian, Luca Laurenti ยท 2024

In this paper, we present IntervalMDP.jl, a Julia package for probabilistic analysis of interval Markov Decision Processes (IMDPs). IntervalMDP.jl facilitates the synthesis of optimal strategies and vโ€ฆ

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Engineering Preprint PDF DOI

GrainGNN: A dynamic graph neural network for predicting 3D grain microstructure

Yigong Qin, Stephen DeWitt, Balasubramaniam Radhakrishnan, George Biros ยท 2024

We propose GrainGNN, a surrogate model for the evolution of polycrystalline grain structure under rapid solidification conditions in metal additive manufacturing. High fidelity simulations of solidifiโ€ฆ

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Engineering Preprint PDF DOI

Deep OFDM Channel Estimation: Capturing Frequency Recurrence

Abu Shafin Mohammad Mahdee Jameel, Akshay Malhotra, Aly El Gamal, Shahab Hamidi-Rad ยท 2024

In this paper, we propose a deep-learning-based channel estimation scheme in an orthogonal frequency division multiplexing (OFDM) system. Our proposed method, named Single Slot Recurrence Along Frequeโ€ฆ

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Engineering Preprint PDF DOI

N$^{3}$-Mapping: Normal Guided Neural Non-Projective Signed Distance Fields for Large-scale 3D Mapping

Shuangfu Song, Junqiao Zhao, Kai Huang, Jiaye Lin, Chen Ye, Tiantian Feng ยท 2024

Accurate and dense mapping in large-scale environments is essential for various robot applications. Recently, implicit neural signed distance fields (SDFs) have shown promising advances in this task. โ€ฆ

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Engineering Preprint PDF DOI

Dynamic and Memory-efficient Shape Based Methodologies for User Type Identification in Smart Grid Applications

Rui Yuan, S. Ali Pourmousavi, Wen L. Soong, Jon A. R. Liisberg ยท 2024

Detecting behind-the-meter (BTM) equipment and major appliances at the residential level and tracking their changes in real time is important for aggregators and traditional electricity utilities. In โ€ฆ

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Vision Transformers and Bi-LSTM for Alzheimer's Disease Diagnosis from 3D MRI

Taymaz Akan, Sait Alp, Mohammad A. N Bhuiyanb ยท 2024

Alzheimer's is a brain disease that gets worse over time and affects memory, thinking, and behavior. Alzheimer's disease (AD) can be treated and managed if it is diagnosed early, which can slow the prโ€ฆ

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To Balance or to Not? Battery Aging-Aware Active Cell Balancing for Electric Vehicles

Enrico Fraccaroli, Seongik Jang, Logan Stach, Hoeseok Yang, Sangyoung Park, Samarjit Chakraborty ยท 2024

Due to manufacturing variabilities and temperature gradients within an electric vehicle's battery pack, the capacities of cells in it decrease differently over time. This reduces the usable capacity oโ€ฆ

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Slide FFT on a homogeneous mesh in wafer-scale computing

Maurice H.P.M. van Putten (Sejong Universiy, INAF-OAS), Leighton Wilson (Cerebras), Adam W. Lavely (LBNL), Mark Hair (Cerebras) ยท 2024

Searches for signals at low signal-to-noise ratios frequently involve the Fast Fourier Transform (FFT). For high-throughput searches, we here consider FFT on the homogeneous mesh of Processing Elementโ€ฆ

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On Complexity of Stability Analysis in Higher-order Ecological Networks through Tensor Decompositions

Anqi Dong, Can Chen ยท 2024

Complex ecological networks are often characterized by intricate interactions that extend beyond pairwise relationships. Understanding the stability of higher-order ecological networks is salient for โ€ฆ

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A Hybrid Neural Network Model For Predicting The Nitrate Concentration In The Recirculating Aquaculture System

Xiangyu Fan, Jiaxin Lia, Yingzhe Wang, Yingsha Qu, Hao Li, Keming Qu, Zhengguo Cui ยท 2024

This study was groundbreaking in its application of neural network models for nitrate management in the Recirculating Aquaculture System (RAS). A hybrid neural network model was proposed, which accuraโ€ฆ

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HAAQI-Net: A Non-intrusive Neural Music Audio Quality Assessment Model for Hearing Aids

Dyah A. M. G. Wisnu, Stefano Rini, Ryandhimas E. Zezario, Hsin-Min Wang, Yu Tsao ยท 2024

This paper introduces HAAQI-Net, a non-intrusive deep learning-based music audio quality assessment model for hearing aid users. Unlike traditional methods like the Hearing Aid Audio Quality Index (HAโ€ฆ

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Enhancing Automatic Modulation Recognition through Robust Global Feature Extraction

Yunpeng Qu, Zhilin Lu, Rui Zeng, Jintao Wang, Jian Wang ยท 2024

Automatic Modulation Recognition (AMR) plays a crucial role in wireless communication systems. Deep learning AMR strategies have achieved tremendous success in recent years. Modulated signals exhibit โ€ฆ

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Beyond Subspace Isolation: Many-to-Many Transformer for Light Field Image Super-resolution

Zeke Zexi Hu, Xiaoming Chen, Vera Yuk Ying Chung, Yiran Shen ยท 2024

The effective extraction of spatial-angular features plays a crucial role in light field image super-resolution (LFSR) tasks, and the introduction of convolution and Transformers leads to significant โ€ฆ

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Compressing Deep Image Super-resolution Models

Yuxuan Jiang, Jakub Nawala, Fan Zhang, David Bull ยท 2023

Deep learning techniques have been applied in the context of image super-resolution (SR), achieving remarkable advances in terms of reconstruction performance. Existing techniques typically employ higโ€ฆ

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