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

Memory-updated-based Framework for 100% Reliable Flexible Flat Cables Insertion

Zhengrong Ling, Xiong Yang, Dong Guo, Hongyuan Chang, Tieshan Zhang, Ruijia Zhang, Yajing Shen ยท 2025

Automatic assembly lines have increasingly replaced human labor in various tasks; however, the automation of Flexible Flat Cable (FFC) insertion remains unrealized due to its high requirement for effeโ€ฆ

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Engineering Preprint PDF DOI

NeuroAMP: A Novel End-to-end General Purpose Deep Neural Amplifier for Personalized Hearing Aids

Shafique Ahmed, Ryandhimas E. Zezario, Hui-Guan Yuan, Amir Hussain, Hsin-Min Wang, Wei-Ho Chung, Yu Tsao ยท 2025

The prevalence of hearing aids is increasing. However, optimizing the amplification processes of hearing aids remains challenging due to the complexity of integrating multiple modular components in trโ€ฆ

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Engineering Preprint PDF DOI

Accelerating Quantitative MRI using Subspace Multiscale Energy Model (SS-MuSE)

Yan Chen, Jyothi Rikhab Chand, Steven R. Kecskemeti, James H. Holmes, Mathews Jacob ยท 2025

Multi-contrast MRI methods acquire multiple images with different contrast weightings, which are used for the differentiation of the tissue types or quantitative mapping. However, the scan time neededโ€ฆ

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Engineering Preprint PDF DOI

SAMRI-2: A Memory-based Model for Cartilage and Meniscus Segmentation in 3D MRIs of the Knee Joint

Danielle L. Ferreira, Bruno A. A. Nunes, Xuzhe Zhang, Laura Carretero Gomez, Maggie Fung, Ravi Soni ยท 2025

Accurate morphometric assessment of cartilage-such as thickness/volume-via MRI is essential for monitoring knee osteoarthritis. Segmenting cartilage remains challenging and dependent on extensive expeโ€ฆ

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Engineering Preprint PDF DOI

In-sensor 24 classes HAR under 850 Bytes

Ahmed.S Benmessaoud, Wassim Kezai, Farida Medjani, Khalid Bouaita, Tahar Kezai ยท 2025

The year 2023 was a key year for tinyML unleashing a new age of intelligent sensors pushing intelligence from the MCU into the source of the data at the sensor level, enabling them to perform sophistiโ€ฆ

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Engineering Preprint PDF DOI

Uplink OFDM Channel Prediction with Hybrid CNN-LSTM for 6G Non-Terrestrial Networks

Bruno De Filippo, Carla Amatetti, Alessandro Vanelli-Coralli ยท 2025

Wireless communications are typically subject to complex channel dynamics, requiring the transmission of pilot sequences to estimate and equalize such effects and correctly receive information bits. Tโ€ฆ

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Engineering Preprint PDF DOI

Compression of Site-Specific Deep Neural Networks for Massive MIMO Precoding

Ghazal Kasalaee, Ali Hasanzadeh Karkan, Jean-Francois Frigon, Francois Leduc-Primeau ยท 2025

The deployment of deep learning (DL) models for precoding in massive multiple-input multiple-output (mMIMO) systems is often constrained by high computational demands and energy consumption. In this pโ€ฆ

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Leader-follower formation enabled by pressure sensing in free-swimming undulatory robotic fish

Kundan Panta, Hankun Deng, Micah DeLattre, Bo Cheng ยท 2025

Fish use their lateral lines to sense flows and pressure gradients, enabling them to detect nearby objects and organisms. Towards replicating this capability, we demonstrated successful leader-followeโ€ฆ

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Engineering Preprint PDF DOI

FinMamba: Market-Aware Graph Enhanced Multi-Level Mamba for Stock Movement Prediction

Yifan Hu, Peiyuan Liu, Yuante Li, Dawei Cheng, Naiqi Li, Tao Dai, Jigang Bao, Shu-Tao Xia ยท 2025

Recently, combining stock features with inter-stock correlations has become a common and effective approach for stock movement prediction. However, financial data presents significant challenges due tโ€ฆ

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Engineering Preprint PDF DOI

Interaction-aware Conformal Prediction for Crowd Navigation

Zhe Huang, Tianchen Ji, Heling Zhang, Fatemeh Cheraghi Pouria, Katherine Driggs-Campbell, Roy Dong ยท 2025

During crowd navigation, robot motion plan needs to consider human motion uncertainty, and the human motion uncertainty is dependent on the robot motion plan. We introduce Interaction-aware Conformal โ€ฆ

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Image-Based Alzheimer's Disease Detection Using Pretrained Convolutional Neural Network Models

Nasser A Alsadhan ยท 2025

Alzheimer's disease is an untreatable, progressive brain disorder that slowly robs people of their memory, thinking abilities, and ultimately their capacity to complete even the most basic tasks. Amonโ€ฆ

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Deployment-friendly Lane-changing Intention Prediction Powered by Brain-inspired Spiking Neural Networks

Shuqi Shen, Junjie Yang, Hui Zhong, Hongliang Lu, Xinhu Zheng, Hai Yang ยท 2025

Accurate and real-time prediction of surrounding vehicles' lane-changing intentions is a critical challenge in deploying safe and efficient autonomous driving systems in open-world scenarios. Existingโ€ฆ

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End-to-End Learning Framework for Solving Non-Markovian Optimal Control

Xiaole Zhang, Peiyu Zhang, Xiongye Xiao, Shixuan Li, Vasileios Tzoumas, Vijay Gupta, Paul Bogdan ยท 2025

Integer-order calculus often falls short in capturing the long-range dependencies and memory effects found in many real-world processes. Fractional calculus addresses these gaps via fractional-order iโ€ฆ

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Memory-dependent abstractions of stochastic systems through the lens of transfer operators

Adrien Banse, Giannis Delimpaltadakis, Luca Laurenti, Manuel Mazo Jr., Raphael M. Jungers ยท 2025

With the increasing ubiquity of safety-critical autonomous systems operating in uncertain environments, there is a need for mathematical methods for formal verification of stochastic models. Towards fโ€ฆ

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Dementia classification from spontaneous speech using wrapper-based feature selection

Marko Niemela, Mikaela von Bonsdorff, Sami Ayramo, Tommi Karkkainen ยท 2025

Dementia encompasses a group of syndromes that impair cognitive functions such as memory, reasoning, and the ability to perform daily activities. As populations globally age, over 10 million new demenโ€ฆ

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Exponentially Stable Combined Adaptive Control under Finite Excitation Condition

Manish Patel, Arnab Maity ยท 2025

The parameter convergence relies on a stringent persistent excitation (PE) condition in adaptive control. Several works have proposed a memory term in the last decade to translate the PE condition to โ€ฆ

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Can Domain Experts Rely on AI Appropriately? A Case Study on AI-Assisted Prostate Cancer MRI Diagnosis

Chacha Chen, Han Liu, Jiamin Yang, Benjamin M. Mervak, Bora Kalaycioglu, Grace Lee, Emre Cakmakli, Matteo Bonatti, Sridhar Pudu, Osman Kahraman, Gul Gizem Pamuk, Aytekin Oto, Aritrick Chatterjee, Chenhao Tan ยท 2025

Despite the growing interest in human-AI decision making, experimental studies with domain experts remain rare, largely due to the complexity of working with domain experts and the challenges in settiโ€ฆ

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Multi-Object Active Search and Tracking by Multiple Agents in Untrusted, Dynamically Changing Environments

Mingi Jeong, Cristian Molinaro, Tonmoay Deb, Youzhi Zhang, Andrea Pugliese, Eugene Santos Jr., VS Subrahmanian, Alberto Quattrini Li ยท 2025

This paper addresses the problem of both actively searching and tracking multiple unknown dynamic objects in a known environment with multiple cooperative autonomous agents with partial observability.โ€ฆ

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VL-Nav: A Neuro-Symbolic Approach for Reasoning-based Vision-Language Navigation

Yi Du, Taimeng Fu, Zhipeng Zhao, Shaoshu Su, Zitong Zhan, Qiwei Du, Zhuoqun Chen, Bowen Li, Chen Wang ยท 2025

Navigating unseen, large-scale environments based on complex and abstract human instructions remains a formidable challenge for autonomous mobile robots. Addressing this requires robots to infer impliโ€ฆ

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A Study on the Performance of U-Net Modifications in Retroperitoneal Tumor Segmentation

Moein Heidari, Ehsan Khodapanah Aghdam, Alexander Manzella, Daniel Hsu, Rebecca Scalabrino, Wenjin Chen, David J. Foran, Ilker Hacihaliloglu ยท 2025

The retroperitoneum hosts a variety of tumors, including rare benign and malignant types, which pose diagnostic and treatment challenges due to their infrequency and proximity to vital structures. Estโ€ฆ

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