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๐Ÿ” databases ๐Ÿ“‚ Engineering
Showing 1740 results for "databases" in Engineering
Engineering Preprint PDF DOI

Neural network-based multiscale modeling of finite strain magneto-elasticity with relaxed convexity criteria

Karl A. Kalina, Philipp Gebhart, Jorg Brummund, Lennart Linden, WaiChing Sun, Markus Kastner ยท 2023

We present a framework for the multiscale modeling of finite strain magneto-elasticity based on physics-augmented neural networks (NNs). By using a set of problem specific invariants as input, an enerโ€ฆ

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Engineering Preprint PDF DOI

Compressor-Based Classification for Atrial Fibrillation Detection

Nikita Markov, Konstantin Ushenin, Yakov Bozhko, Olga Solovyova ยท 2023

Atrial fibrillation (AF) is one of the most common arrhythmias with challenging public health implications. Therefore, automatic detection of AF episodes on ECG is one of the essential tasks in biomedโ€ฆ

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Engineering Preprint PDF DOI

CompaCT: Fractal-Based Heuristic Pixel Segmentation for Lossless Compression of High-Color DICOM Medical Images

Taaha Khan ยท 2023

Medical image compression is a widely studied field of data processing due to its prevalence in modern digital databases. This domain requires a high color depth of 12 bits per pixel component for accโ€ฆ

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Engineering Preprint PDF DOI

Comparing Autoencoder to Geometrical Features for Vascular Bifurcations Identification

Ibtissam Essadik (UIT), Anass Nouri (UIT), Raja Touahni (UIT), Florent Autrusseau (LTeN) ยท 2023

The cerebrovascular tree is a complex anatomical structure that plays a crucial role in the brain irrigation. A precise identification of the bifurcations in the vascular network is essential for undeโ€ฆ

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Engineering Preprint PDF DOI

3D Model-free Visual Localization System from Essential Matrix under Local Planar Motion

Yanmei Jiao, Binxin Zhang, Peng Jiang, Chaoqun Wang, Rong Xiong, Yue Wang ยท 2023

Visual localization plays a critical role in the functionality of low-cost autonomous mobile robots. Current state-of-the-art approaches for achieving accurate visual localization are 3D scene-specifiโ€ฆ

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Engineering Preprint PDF DOI

Severity Classification of Parkinson's Disease from Speech using Single Frequency Filtering-based Features

Sudarsana Reddy Kadiri, Manila Kodali, Paavo Alku ยท 2023

Developing objective methods for assessing the severity of Parkinson's disease (PD) is crucial for improving the diagnosis and treatment. This study proposes two sets of novel features derived from thโ€ฆ

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Engineering Preprint PDF DOI

An Empirical Study on Fault Detection and Root Cause Analysis of Indium Tin Oxide Electrodes by Processing S-parameter Patterns

Tae Yeob Kang, Haebom Lee, Sungho Suh ยท 2023

In the field of optoelectronics, indium tin oxide (ITO) electrodes play a crucial role in various applications, such as displays, sensors, and solar cells. Effective fault diagnosis and root cause anaโ€ฆ

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Engineering Preprint PDF DOI

Enhancing Network Initialization for Medical AI Models Using Large-Scale, Unlabeled Natural Images

Soroosh Tayebi Arasteh, Leo Misera, Jakob Nikolas Kather, Daniel Truhn, Sven Nebelung ยท 2023

Pre-training datasets, like ImageNet, have become the gold standard in medical image analysis. However, the emergence of self-supervised learning (SSL), which leverages unlabeled data to learn robust โ€ฆ

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Engineering Preprint PDF DOI

Age-Stratified Differences in Morphological Connectivity Patterns in ASD: An sMRI and Machine Learning Approach

Gokul Manoj, Sandeep Singh Sengar, Jac Fredo Agastinose Ronickom ยท 2023

Purpose: Age biases have been identified as an essential factor in the diagnosis of ASD. The objective of this study was to compare the effect of different age groups in classifying ASD using morpholoโ€ฆ

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Engineering Preprint PDF DOI

Semi-Supervised Dual-Stream Self-Attentive Adversarial Graph Contrastive Learning for Cross-Subject EEG-based Emotion Recognition

Weishan Ye, Zhiguo Zhang, Fei Teng, Min Zhang, Jianhong Wang, Dong Ni, Fali Li, Peng Xu, Zhen Liang ยท 2023

Electroencephalography (EEG) is an objective tool for emotion recognition with promising applications. However, the scarcity of labeled data remains a major challenge in this field, limiting the widesโ€ฆ

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Engineering Preprint PDF DOI

3-Lead to 12-Lead ECG Reconstruction: A Novel AI-based Spatio-Temporal Method

Rahul LR, Albert Shaiju, Soumya Jana ยท 2023

Diagnosis of cardiovascular diseases usually relies on the widely used standard 12-Lead (S12) ECG system. However, such a system could be bulky, too resource-intensive, and too specialized for personaโ€ฆ

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Engineering Preprint PDF DOI

Pedestrian Trajectory Prediction in Pedestrian-Vehicle Mixed Environments: A Systematic Review

Mahsa Golchoubian, Moojan Ghafurian, Kerstin Dautenhahn, Nasser Lashgarian Azad ยท 2023

Planning an autonomous vehicle's (AV) path in a space shared with pedestrians requires reasoning about pedestrians' future trajectories. A practical pedestrian trajectory prediction algorithm for the โ€ฆ

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Engineering Preprint PDF DOI

Attention-based 3D CNN with Multi-layer Features for Alzheimer's Disease Diagnosis using Brain Images

Yanteng Zhang, Qizhi Teng, Xiaohai He, Tong Niu, Lipei Zhang, Yan Liu, Chao Ren ยท 2023

Structural MRI and PET imaging play an important role in the diagnosis of Alzheimer's disease (AD), showing the morphological changes and glucose metabolism changes in the brain respectively. The maniโ€ฆ

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Engineering Preprint PDF DOI

Generative Priors for MRI Reconstruction Trained from Magnitude-Only Images Using Phase Augmentation

Guanxiong Luo, Xiaoqing Wang, Mortiz Blumenthal, Martin Schilling, Erik Hans Ulrich Rauf, Raviteja Kotikalapudi, Niels Focke, Martin Uecker ยท 2023

Purpose: In this work, we present a workflow to construct generic and robust generative image priors from magnitude-only images. The priors can then be used for regularization in reconstruction to impโ€ฆ

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Engineering Preprint PDF DOI

Local-Global Temporal Fusion Network with an Attention Mechanism for Multiple and Multiclass Arrhythmia Classification

Yun Kwan Kim, Minji Lee, Kunwook Jo, Hee Seok Song, Seong-Whan Lee ยท 2023

Clinical decision support systems (CDSSs) have been widely utilized to support the decisions made by cardiologists when detecting and classifying arrhythmia from electrocardiograms (ECGs). However, foโ€ฆ

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Engineering Preprint PDF DOI

Data quality challenges in existing distribution network datasets

Frederik Geth, Marta Vanin, Dirk Van Hertem ยท 2023

Existing digital distribution network models, like those in the databases of network utilities, are known to contain erroneous or untrustworthy information. This can compromise the effectiveness of phโ€ฆ

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Engineering Preprint PDF DOI

Part-level Scene Reconstruction Affords Robot Interaction

Zeyu Zhang, Lexing Zhang, Zaijin Wang, Ziyuan Jiao, Muzhi Han, Yixin Zhu, Song-Chun Zhu, Hangxin Liu ยท 2023

Existing methods for reconstructing interactive scenes primarily focus on replacing reconstructed objects with CAD models retrieved from a limited database, resulting in significant discrepancies betwโ€ฆ

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Engineering Preprint PDF DOI

CoVid-19 Detection leveraging Vision Transformers and Explainable AI

Pangoth Santhosh Kumar, Kundrapu Supriya, Mallikharjuna Rao K, Taraka Satya Krishna Teja Malisetti ยท 2023

Lung disease is a common health problem in many parts of the world. It is a significant risk to people health and quality of life all across the globe since it is responsible for five of the top thirtโ€ฆ

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Engineering Preprint PDF DOI

Cross-dimensional transfer learning in medical image segmentation with deep learning

Hicham Messaoudi, Ahror Belaid, Douraied Ben Salem, Pierre-Henri Conze ยท 2023

Over the last decade, convolutional neural networks have emerged and advanced the state-of-the-art in various image analysis and computer vision applications. The performance of 2D image classificatioโ€ฆ

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Engineering Preprint PDF DOI

TriadNet: Sampling-free predictive intervals for lesional volume in 3D brain MR images

Benjamin Lambert, Florence Forbes, Senan Doyle, Michel Dojat ยท 2023

The volume of a brain lesion (e.g. infarct or tumor) is a powerful indicator of patient prognosis and can be used to guide the therapeutic strategy. Lesional volume estimation is usually performed by โ€ฆ

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