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

KVQ: Kwai Video Quality Assessment for Short-form Videos

Yiting Lu, Xin Li, Yajing Pei, Kun Yuan, Qizhi Xie, Yunpeng Qu, Ming Sun, Chao Zhou, Zhibo Chen ยท 2024

Short-form UGC video platforms, like Kwai and TikTok, have been an emerging and irreplaceable mainstream media form, thriving on user-friendly engagement, and kaleidoscope creation, etc. However, the โ€ฆ

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Engineering Preprint PDF DOI

Using YOLO v7 to Detect Kidney in Magnetic Resonance Imaging

Pouria Yazdian Anari, Fiona Obiezu, Nathan Lay, Fatemeh Dehghani Firouzabadi, Aditi Chaurasia, Mahshid Golagha, Shiva Singh, Fatemeh Homayounieh, Aryan Zahergivar, Stephanie Harmon, Evrim Turkbey, Rabindra Gautam, Kevin Ma, Maria Merino, Elizabeth C. Jones, Mark W. Ball, W. Marston Linehan, Baris Turkbey, Ashkan A. Malayeri ยท 2024

Introduction This study explores the use of the latest You Only Look Once (YOLO V7) object detection method to enhance kidney detection in medical imaging by training and testing a modified YOLO V7 onโ€ฆ

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A Non-Intrusive Neural Quality Assessment Model for Surface Electromyography Signals

Cho-Yuan Lee, Kuan-Chen Wang, Kai-Chun Liu, Yu-Te Wang, Xugang Lu, Ping-Cheng Yeh, Yu Tsao ยท 2024

In practical scenarios involving the measurement of surface electromyography (sEMG) in muscles, particularly those areas near the heart, one of the primary sources of contamination is the presence of โ€ฆ

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Engineering Preprint PDF DOI

ASCENT: A Context-Aware Spectrum Coexistence Design and Implementation Toolset for Policymakers in Satellite Bands

Ta-seen Reaz Niloy, Saurav Kumar, Aniruddha Hore, Zoheb Hassan, Carl Dietrich, Eric W. Burger, Jeffrey H. Reed, Vijay K. Shah ยท 2024

This paper introduces ASCENT (context Aware Spectrum Coexistence Design and Implementation) toolset, an advanced context-aware terrestrial satellite spectrum sharing toolset designed for researchers, โ€ฆ

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Interpretable domain knowledge enhanced machine learning framework on axial capacity prediction of circular CFST columns

Dian Wang, Zhigang Ren, Gen Kondo ยท 2024

This study introduces a novel machine learning framework, integrating domain knowledge, to accurately predict the bearing capacity of CFSTs, bridging the gap between traditional engineering and machinโ€ฆ

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Engineering Preprint PDF DOI

Belief Scene Graphs: Expanding Partial Scenes with Objects through Computation of Expectation

Mario A.V. Saucedo, Akash Patel, Akshit Saradagi, Christoforos Kanellakis, George Nikolakopoulos ยท 2024

In this article, we propose the novel concept of Belief Scene Graphs, which are utility-driven extensions of partial 3D scene graphs, that enable efficient high-level task planning with partial informโ€ฆ

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SDEMG: Score-based Diffusion Model for Surface Electromyographic Signal Denoising

Yu-Tung Liu, Kuan-Chen Wang, Kai-Chun Liu, Sheng-Yu Peng, Yu Tsao ยท 2024

Surface electromyography (sEMG) recordings can be influenced by electrocardiogram (ECG) signals when the muscle being monitored is close to the heart. Several existing methods use signal-processing-baโ€ฆ

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Architecture Analysis and Benchmarking of 3D U-shaped Deep Learning Models for Thoracic Anatomical Segmentation

Arash Harirpoush, Amirhossein Rasoulian, Marta Kersten-Oertel, Yiming Xiao ยท 2024

Recent rising interests in patient-specific thoracic surgical planning and simulation require efficient and robust creation of digital anatomical models from automatic medical image segmentation algorโ€ฆ

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On combining acoustic and modulation spectrograms in an attention LSTM-based system for speech intelligibility level classification

Ascension Gallardo-Antolin, Juan M. Montero ยท 2024

Speech intelligibility can be affected by multiple factors, such as noisy environments, channel distortions or physiological issues. In this work, we deal with the problem of automatic prediction of tโ€ฆ

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An Attention Long Short-Term Memory based system for automatic classification of speech intelligibility

Miguel Fernandez-Diaz, Ascension Gallardo-Antolin ยท 2024

Speech intelligibility can be degraded due to multiple factors, such as noisy environments, technical difficulties or biological conditions. This work is focused on the development of an automatic nonโ€ฆ

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A Deep Learning Approach for Brain Tumor Classification and Segmentation Using a Multiscale Convolutional Neural Network

Francisco Javier Diaz-Pernas, Mario Martinez-Zarzuela, Miriam Anton-Rodriguez, David Gonzalez-Ortega ยท 2024

In this paper, we present a fully automatic brain tumor segmentation and classification model using a Deep Convolutional Neural Network that includes a multiscale approach. One of the differences of oโ€ฆ

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Diabetes detection using deep learning techniques with oversampling and feature augmentation

Maria Teresa Garcia-Ordas, Carmen Benavides, Jose Alberto Benitez-Andrades, Hector Alaiz-Moreton, Isaias Garcia-Rodriguez ยท 2024

Background and objective: Diabetes is a chronic pathology which is affecting more and more people over the years. It gives rise to a large number of deaths each year. Furthermore, many people living wโ€ฆ

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Introduction to speech recognition

Gabriel Dauphin ยท 2024

This document contains lectures and practical experimentations using Matlab and implementing a system which is actually correctly classifying three words (one, two and three) with the help of a very sโ€ฆ

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REACT: Two Datasets for Analyzing Both Human Reactions and Evaluative Feedback to Robots Over Time

Kate Candon, Nicholas C. Georgiou, Helen Zhou, Sidney Richardson, Qiping Zhang, Brian Scassellati, Marynel Vazquez ยท 2024

Recent work in Human-Robot Interaction (HRI) has shown that robots can leverage implicit communicative signals from users to understand how they are being perceived during interactions. For example, tโ€ฆ

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Transformational application of Artificial Intelligence and Machine learning in Financial Technologies and Financial services: A bibliometric review

Vijaya Kanaparthi ยท 2024

In this study, I employ a multifaceted comprehensive scientometric approach to explore the intellectual underpinnings of AI and ML in financial research by examining the publication patterns of articlโ€ฆ

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Open-RadVLAD: Fast and Robust Radar Place Recognition

Matthew Gadd, Paul Newman ยท 2024

Radar place recognition often involves encoding a live scan as a vector and matching this vector to a database in order to recognise that the vehicle is in a location that it has visited before. Radarโ€ฆ

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Viscoelasticty with physics-augmented neural networks: Model formulation and training methods without prescribed internal variables

Max Rosenkranz, Karl A. Kalina, Jorg Brummund, WaiChing Sun, Markus Kastner ยท 2024

We present an approach for the data-driven modeling of nonlinear viscoelastic materials at small strains which is based on physics-augmented neural networks (NNs) and requires only stress and strain pโ€ฆ

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A database of physical therapy exercises with variability of execution collected by wearable sensors

Sara Garcia-de-Villa, Ana Jimenez-Martin, Juan Jesus Garcia-Dominguez ยท 2024

This document introduces the PHYTMO database, which contains data from physical therapies recorded with inertial sensors, including information from an optical reference system. PHYTMO includes the reโ€ฆ

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DeepCERES: A Deep learning method for cerebellar lobule segmentation using ultra-high resolution multimodal MRI

Sergio Morell-Ortega, Marina Ruiz-Perez, Marien Gadea, Roberto Vivo-Hernando, Gregorio Rubio, Fernando Aparici, Maria de la Iglesia-Vaya, Gwenaelle Catheline, Pierrick Coupe, Jose V. Manjon ยท 2024

This paper introduces a novel multimodal and high-resolution human brain cerebellum lobule segmentation method. Unlike current tools that operate at standard resolution ($1 \text{ mm}^{3}$) or using mโ€ฆ

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Acoustic characterization of speech rhythm: going beyond metrics with recurrent neural networks

Francois Deloche, Laurent Bonnasse-Gahot, Judit Gervain ยท 2024

Languages have long been described according to their perceived rhythmic attributes. The associated typologies are of interest in psycholinguistics as they partly predict newborns' abilities to discriโ€ฆ

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