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

Deep Learning-Based Approach for Automatic 2D and 3D MRI Segmentation of Gliomas

Kiranmayee Janardhan, Christy Bobby T ยท 2025

Brain tumor diagnosis is a challenging task for clinicians in the modern world. Among the major reasons for cancer-related death is the brain tumor. Gliomas, a category of central nervous system (CNS)โ€ฆ

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Engineering Preprint PDF DOI

Battery State of Health Estimation and Incremental Capacity Analysis under Dynamic Charging Profile Using Neural Networks

Qinan Zhou, Gabrielle Vuylsteke, R. Dyche Anderson, Jing Sun ยท 2025

Incremental capacity analysis (ICA) and differential voltage analysis (DVA) are two effective approaches for battery degradation monitoring. One limiting factor for their real-world application is thaโ€ฆ

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Engineering Preprint PDF DOI

Circulant ADMM-Net for Fast High-resolution DoA Estimation

Youval Klioui ยท 2025

This paper introduces CADMM-Net and CHADMM-Net, two deep neural networks for direction of arrival estimation within the least-absolute shrinkage and selection operator (LASSO) framework. These two netโ€ฆ

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Engineering Preprint PDF DOI

Efficient and Distributed Large-Scale Point Cloud Bundle Adjustment via Majorization-Minimization

Rundong Li, Zheng Liu, Hairuo Wei, Yixi Cai, Haotian Li, Fu Zhang ยท 2025

Point cloud bundle adjustment is critical in large-scale point cloud mapping. However, it is both computationally and memory intensive, with its complexity growing cubically as the number of scan poseโ€ฆ

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Engineering Preprint PDF DOI

Inversion-free feed-forward and feedback control of MSM based actuator with large non-smooth input hysteresis

Michael Ruderman, Gianluca Giostra, Matteo Sette ยท 2025

Dynamic systems with a large and non-smooth hysteresis in the feedforward channel challenge the design of feedback control since the instantaneous input gain is varying during the operation, in the woโ€ฆ

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Engineering Preprint PDF DOI

A Deep-Unfolding Approach to RIS Phase Shift Optimization Via Transformer-Based Channel Prediction

Ishan Koralege, Arthur S. de Sena, Nurul H. Mahmood, Farjam Karim, Dimuthu Lesthuruge, Samitha Gunarathne ยท 2025

Reconfigurable intelligent surfaces (RISs) have emerged as a promising solution that can provide dynamic control over the propagation of electromagnetic waves. The RIS technology is envisioned as a keโ€ฆ

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Engineering Preprint PDF DOI

Edge Training and Inference with Analog ReRAM Technology for Hand Gesture Recognition

Victoria Clerico, Anirvan Dutta, Donato Francesco Falcone, Wooseok Choi, Matteo Galetta, Tommaso Stecconi, Andras Horvath, Shokoofeh Varzandeh, Bert Jan Offrein, Mohsen Kaboli, Valeria Bragaglia ยท 2025

Tactile hand gesture recognition is a crucial task for user control in the automotive sector, where Human-Machine Interactions (HMI) demand low latency and high energy efficiency. This study addressesโ€ฆ

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Engineering Preprint PDF DOI

Predictive Modeling of Rat Brain Local Field Potentials using Single-Variable and Multivariable Approaches

AmirAli Kalbasi, Shole Jamali, Mahdi Aliyari Shoorehdeli, Abbas Haghparast ยท 2025

Accurate prediction of neural dynamics in the brain's reward circuitry is crucial for elucidating how natural and pharmacological rewards influence neural activity and connectivity. Traditional linearโ€ฆ

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Engineering Preprint PDF DOI

Demand Forecasting for Electric Vehicle Charging Stations using Multivariate Time-Series Analysis

Saba Sanami, Hesam Mosalli, Yu Yang, Hen-Geul Yeh, Amir G. Aghdam ยท 2025

As the number of electric vehicles (EVs) continues to grow, the demand for charging stations is also increasing, leading to challenges such as long wait times and insufficient infrastructure. High-preโ€ฆ

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Engineering Preprint PDF DOI

Vision Transformer Accelerator ASIC for Real-Time Low-Power Sleep Staging

Tristan Robitaille, Xilin Liu ยท 2025

This paper presents SleepViT, a custom accelerator ASIC for real-time, low-power sleep stage classification in wearable devices. At the core of SleepViT is a lightweight vision transformer model speciโ€ฆ

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Engineering Preprint PDF DOI

rECGnition_v2.0: Self-Attentive Canonical Fusion of ECG and Patient Data using deep learning for effective Cardiac Diagnostics

Shreya Srivastava, Durgesh Kumar, Ram Jiwari, Sandeep Seth, Deepak Sharma ยท 2025

The variability in ECG readings influenced by individual patient characteristics has posed a considerable challenge to adopting automated ECG analysis in clinical settings. A novel feature fusion techโ€ฆ

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Engineering Preprint PDF DOI

Pseudo-Measurement Enhancement in Power Distribution Systems

Tao Xu, Kaiqi Wang, Jiadong Zhang, Ji Qiao, Zixuan Zhao, Hong Zhu, Kai Sun ยท 2025

With the rapid development of smart distribution networks (DNs), the integrity and accuracy of grid measurement data are crucial to the safety and stability of the entire system. However, the quality โ€ฆ

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Engineering Preprint PDF DOI

Learning-based model predictive control for passenger-oriented train rescheduling with flexible train composition

Xiaoyu Liu, Caio Fabio Oliveira da Silva, Azita Dabiri, Yihui Wang, Bart De Schutter ยท 2025

This paper focuses on passenger-oriented real-time train rescheduling, considering flexible train composition and rolling stock circulation, by integrating learning-based and optimization-based approaโ€ฆ

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DynamicGSG: Dynamic 3D Gaussian Scene Graphs for Environment Adaptation

Luzhou Ge, Xiangyu Zhu, Zhuo Yang, Xuesong Li ยท 2025

In real-world scenarios, environment changes caused by human or agent activities make it extremely challenging for robots to perform various long-term tasks. Recent works typically struggle to effectiโ€ฆ

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Engineering Preprint PDF DOI

MedFuncta: A Unified Framework for Learning Efficient Medical Neural Fields

Paul Friedrich, Florentin Bieder, Julian McGinnis, Julia Wolleb, Daniel Rueckert, Philippe C. Cattin ยท 2025

Research in medical imaging primarily focuses on discrete data representations that poorly scale with grid resolution and fail to capture the often continuous nature of the underlying signal. Neural Fโ€ฆ

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Engineering Preprint PDF DOI

Mem2Ego: Empowering Vision-Language Models with Global-to-Ego Memory for Long-Horizon Embodied Navigation

Lingfeng Zhang, Yuecheng Liu, Zhanguang Zhang, Matin Aghaei, Yaochen Hu, Hongjian Gu, Mohammad Ali Alomrani, David Gamaliel Arcos Bravo, Raika Karimi, Atia Hamidizadeh, Haoping Xu, Guowei Huang, Zhanpeng Zhang, Tongtong Cao, Weichao Qiu, Xingyue Quan, Jianye Hao, Yuzheng Zhuang, Yingxue Zhang ยท 2025

Recent advancements in Large Language Models (LLMs) and Vision-Language Models (VLMs) have made them powerful tools in embodied navigation, enabling agents to leverage commonsense and spatial reasoninโ€ฆ

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Engineering Preprint PDF DOI

MambaLiteSR: Image Super-Resolution with Low-Rank Mamba using Knowledge Distillation

Romina Aalishah, Mozhgan Navardi, Tinoosh Mohsenin ยท 2025

Generative Artificial Intelligence (AI) has gained significant attention in recent years, revolutionizing various applications across industries. Among these, advanced vision models for image super-reโ€ฆ

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Engineering Preprint PDF DOI

Minimally sufficient structures for information-feedback policies

Basak Sakcak, Vadim K. Weinstein, Kalle G. Timperi, Steven M. LaValle ยท 2025

In this paper, we consider robotic tasks which require a desirable outcome to be achieved in the physical world that the robot is embedded in and interacting with. Accomplishing this objective requireโ€ฆ

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Engineering Preprint PDF DOI

MapNav: A Novel Memory Representation via Annotated Semantic Maps for Vision-and-Language Navigation

Lingfeng Zhang, Xiaoshuai Hao, Qinwen Xu, Qiang Zhang, Xinyao Zhang, Pengwei Wang, Jing Zhang, Zhongyuan Wang, Shanghang Zhang, Renjing Xu ยท 2025

Vision-and-language navigation (VLN) is a key task in Embodied AI, requiring agents to navigate diverse and unseen environments while following natural language instructions. Traditional approaches reโ€ฆ

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Engineering Preprint PDF DOI

Cross-Domain Continual Learning for Edge Intelligence in Wireless ISAC Networks

Jingzhi Hu, Xin Li, Zhou Su, Jun Luo ยท 2025

In wireless networks with integrated sensing and communications (ISAC), edge intelligence (EI) is expected to be developed at edge devices (ED) for sensing user activities based on channel state inforโ€ฆ

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