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

Diffusion-based Generative Prior for Low-Complexity MIMO Channel Estimation

Benedikt Fesl, Michael Baur, Florian Strasser, Michael Joham, Wolfgang Utschick ยท 2024

This work proposes a novel channel estimator based on diffusion models (DMs), one of the currently top-rated generative models. Contrary to related works utilizing generative priors, a lightweight conโ€ฆ

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Engineering Preprint PDF DOI

Interactive Continual Learning Architecture for Long-Term Personalization of Home Service Robots

Ali Ayub, Chrystopher Nehaniv, Kerstin Dautenhahn ยท 2024

For robots to perform assistive tasks in unstructured home environments, they must learn and reason on the semantic knowledge of the environments. Despite a resurgence in the development of semantic rโ€ฆ

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Engineering Preprint PDF DOI

ARNN: Attentive Recurrent Neural Network for Multi-channel EEG Signals to Identify Epileptic Seizures

Salim Rukhsar, Anil Kumar Tiwari ยท 2024

Electroencephalography (EEG) is a widely used tool for diagnosing brain disorders due to its high temporal resolution, non-invasive nature, and affordability. Manual analysis of EEG is labor-intensiveโ€ฆ

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Engineering Preprint PDF DOI

High-speed Low-consumption sEMG-based Transient-state micro-Gesture Recognition

Youfang Han, Wei Zhao, Xiangjin Chen, Xin Meng ยท 2024

Gesture recognition on wearable devices is extensively applied in human-computer interaction. Electromyography (EMG) has been used in many gesture recognition systems for its rapid perception of musclโ€ฆ

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Engineering Preprint PDF DOI

A Comparative Study of Rapidly-exploring Random Tree Algorithms Applied to Ship Trajectory Planning and Behavior Generation

Trym Tengesdal, Tom Arne Pedersen, Tor Arne Johansen ยท 2024

Rapidly Exploring Random Tree (RRT) algorithms, notably used for nonholonomic vehicle navigation in complex environments, are often not thoroughly evaluated for their specific challenges. This paper pโ€ฆ

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Engineering Preprint PDF DOI

Predicting UAV Type: An Exploration of Sampling and Data Augmentation for Time Series Classification

Tarik Crnovrsanin, Calvin Yu, Dane Hankamer, Cody Dunne ยท 2024

Unmanned aerial vehicles are becoming common and have many productive uses. However, their increased prevalence raises safety concerns -- how can we protect restricted airspace? Knowing the type of unโ€ฆ

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Engineering Preprint PDF DOI

WDM: 3D Wavelet Diffusion Models for High-Resolution Medical Image Synthesis

Paul Friedrich, Julia Wolleb, Florentin Bieder, Alicia Durrer, Philippe C. Cattin ยท 2024

Due to the three-dimensional nature of CT- or MR-scans, generative modeling of medical images is a particularly challenging task. Existing approaches mostly apply patch-wise, slice-wise, or cascaded gโ€ฆ

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Engineering Preprint PDF DOI

NERV++: An Enhanced Implicit Neural Video Representation

Ahmed Ghorbel, Wassim Hamidouche, Luce Morin ยท 2024

Neural fields, also known as implicit neural representations (INRs), have shown a remarkable capability of representing, generating, and manipulating various data types, allowing for continuous data rโ€ฆ

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Engineering Preprint PDF DOI

Automatic driving lane change safety prediction model based on LSTM

Wenjian Sun, Linying Pan, Jingyu Xu, Weixiang Wan, Yong Wang ยท 2024

Autonomous driving technology can improve traffic safety and reduce traffic accidents. In addition, it improves traffic flow, reduces congestion, saves energy and increases travel efficiency. In the rโ€ฆ

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Symmetry-aware Reinforcement Learning for Robotic Assembly under Partial Observability with a Soft Wrist

Hai Nguyen, Tadashi Kozuno, Cristian C. Beltran-Hernandez, Masashi Hamaya ยท 2024

This study tackles the representative yet challenging contact-rich peg-in-hole task of robotic assembly, using a soft wrist that can operate more safely and tolerate lower-frequency control signals thโ€ฆ

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Engineering Preprint PDF DOI

QN-Mixer: A Quasi-Newton MLP-Mixer Model for Sparse-View CT Reconstruction

Ishak Ayad, Nicolas Larue, Mai K. Nguyen ยท 2024

Inverse problems span across diverse fields. In medical contexts, computed tomography (CT) plays a crucial role in reconstructing a patient's internal structure, presenting challenges due to artifactsโ€ฆ

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Highway Discretionary Lane-change Decision and Control Using Model Predictive Control

Zishun Zheng, Yihan Wang, Yuan Lin ยท 2024

To enable autonomous vehicles to perform discretionary lane change amidst the random traffic flow on highways, this paper introduces a decision-making and control method for vehicle lane change based โ€ฆ

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Leveraging power of deep learning for fast and efficient elite pixel selection in time series SAR interferometry

Ashutosh Tiwari, Nitheshnirmal Sadhashivam, Leonard O. Ohenhen, Jonathan Lucy, Manoochehr Shirzaei ยท 2024

This study proposes a new convolutional long short-term memory (ConvLSTM) based architecture for selection of elite pixels (i.e., less noisy) in time series interferometric synthetic aperture radar (Tโ€ฆ

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Physics-Informed LSTM-Based Delay Compensation Framework for Teleoperated UGVs

Ahmad Abubakar, Yahya Zweiri, AbdelGafoor Haddad, Mubarak Yakubu, Ruqayya Alhammadi, Lakmal Seneviratne ยท 2024

Bilateral teleoperation of low-speed Unmanned Ground Vehicles (UGVs) on soft terrains is crucial for applications like lunar exploration, offering effective control of terrain-induced longitudinal sliโ€ฆ

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Radar Anti-jamming Strategy Learning via Domain-knowledge Enhanced Online Convex Optimization

Liangqi Liu, Wenqiang Pu, Yingru Li, Bo Jiu, Zhi-Quan Luo ยท 2024

The dynamic competition between radar and jammer systems presents a significant challenge for modern Electronic Warfare (EW), as current active learning approaches still lack sample efficiency and faiโ€ฆ

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Divide-Conquer-and-Merge: Memory- and Time-Efficient Holographic Displays

Zhenxing Dong, Jidong Jia, Yan Li, Yuye Ling ยท 2024

Recently, deep learning-based computer-generated holography (CGH) has demonstrated tremendous potential in three-dimensional (3D) displays and yielded impressive display quality. However, most existinโ€ฆ

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RoboEXP: Action-Conditioned Scene Graph via Interactive Exploration for Robotic Manipulation

Hanxiao Jiang, Binghao Huang, Ruihai Wu, Zhuoran Li, Shubham Garg, Hooshang Nayyeri, Shenlong Wang, Yunzhu Li ยท 2024

We introduce the novel task of interactive scene exploration, wherein robots autonomously explore environments and produce an action-conditioned scene graph (ACSG) that captures the structure of the uโ€ฆ

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Engineering Preprint PDF DOI

Strong-ARM Dynamic Latch Comparators: Design and Analyses on CAD Platform

Kasi Bandla, Dipankar Pal ยท 2024

Strong-ARM Dynamic Latch Comparators are widely used in high-speed analog-to-digital converters (ADCs), sense amplifiers in memory, RFID applications, and data receivers. This paper presents differentโ€ฆ

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AFPR-CIM: An Analog-Domain Floating-Point RRAM-based Compute-In-Memory Architecture with Dynamic Range Adaptive FP-ADC

Haobo Liu, Zhengyang Qian, Wei Wu, Hongwei Ren, Zhiwei Liu, Leibin Ni ยท 2024

Power consumption has become the major concern in neural network accelerators for edge devices. The novel non-volatile-memory (NVM) based computing-in-memory (CIM) architecture has shown great potentiโ€ฆ

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Tiny Reinforcement Learning for Quadruped Locomotion using Decision Transformers

Orhan Eren Akgun, Nestor Cuevas, Matheus Farias, Daniel Garces ยท 2024

Resource-constrained robotic platforms are particularly useful for tasks that require low-cost hardware alternatives due to the risk of losing the robot, like in search-and-rescue applications, or theโ€ฆ

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