Results 21 to 30 of about 112,978 (252)

Multi-orientation local ternary pattern-based feature extraction for forensic dentistry

EURASIP Journal on Image and Video Processing, 2022
Accurate and automated identification of the deceased victims with dental radiographs plays a significant role in forensic dentistry. The image processing techniques such as segmentation and feature extraction play a crucial role in image retrieval in ...
Karunya Rajmohan, Askarunisa Abdul Khader   +1 more
doaj   +1 more source

The Automated Bias Triangle Feature Extraction Framework

CoRR, 2023
Bias triangles represent features in stability diagrams of Quantum Dot (QD) devices, whose occurrence and property analysis are crucial indicators for spin physics. Nevertheless, challenges associated with quality and availability of data as well as the subtlety of physical phenomena of interest have hindered an automatic and bespoke analysis framework,
Madeleine Kotzagiannidis, Jonas Schuff, Nathan Korda   +2 more
openaire   +3 more sources

Automated Classification of Overfitting Patches With Statically Extracted Code Features [PDF]

IEEE Transactions on Software Engineering, 2022
Automatic program repair (APR) aims to reduce the cost of manually fixing software defects. However, APR suffers from generating a multitude of overfitting patches, those patches that fail to correctly repair the defect beyond making the tests pass. This paper presents a novel overfitting patch detection system called ODS to assess the correctness of ...
He Ye, Jian Gu 0001, Matias Martinez, Thomas Durieux, Martin Monperrus   +4 more
openaire   +3 more sources

Automated Extraction of Secondary Flow Features [PDF]

43rd AIAA Aerospace Sciences Meeting and Exhibit, 2005
The use of Computational Fluid Dynamics (CFD) has become standard practice in the design and development of the major components used for air and space propulsion. To aid in the post-processing and analysis phase of CFD many researchers now use automated feature extraction utilities.
Suzanne Dorney, Robert Haimes
openaire   +1 more source

NEURD offers automated proofreading and feature extraction for connectomics

Nature, 2023
We are now in the era of millimeter-scale electron microscopy (EM) volumes collected at nanometer resolution (Shapson-Coe et al., 2021; Consortium et al., 2021). Dense reconstruction of cellular compartments in these EM volumes has been enabled by recent advances in Machine Learning (ML) (Lee et al., 2017; Wu et al., 2021; Lu et al., 2021; Macrina et ...
Brendan Celii, Stelios Papadopoulos, Zhuokun Ding, Paul G. Fahey, Eric Wang, Christos Papadopoulos, Alexander B. Kunin, Saumil Patel, J. Alexander Bae, Agnes L. Bodor, Derrick Brittain, JoAnn Buchanan, Daniel J. Bumbarger, Manuel A. Castro, Erick Cobos, Sven Dorkenwald, Leila Elabbady, Akhilesh Halageri, Zhen Jia, Chris Jordan, Dan Kapner, Nico Kemnitz, Sam Kinn, Kisuk Lee, Kai Li, Ran Lu, Thomas Macrina, Gayathri Mahalingam, Eric Mitchell, Shanka Subhra Mondal, Shang Mu, Barak Nehoran, Sergiy Popovych, Casey M. Schneider-Mizell, William Silversmith, Marc Takeno, Russel Torres, Nicholas L. Turner, William Wong, Jingpeng Wu, Szi-chieh Yu, Wenjing Yin, Daniel Xenes, Lindsey M. Kitchell, Patricia K. Rivlin, Victoria A. Rose, Caitlyn A. Bishop, Brock Wester, Emmanouil Froudarakis, Edgar Y. Walker, Fabian Sinz, H. Sebastian Seung, Forrest Collman, Nuno Maçarico da Costa, R. Clay Reid, Xaq Pitkow, Andreas S. Tolias, Jacob Reimer   +57 more
openaire   +4 more sources

Automated SAT Problem Feature Extraction using Convolutional Autoencoders

2021 IEEE 33rd International Conference on Tools with Artificial Intelligence (ICTAI), 2021
The Boolean Satisfiability Problem (SAT) was the first known NP-complete problem and has a very broad literature focusing on it. It has been applied successfully to various real-world problems, such as scheduling, planning and cryptography. SAT problem feature extraction plays an essential role in this field. SAT solvers are complex, fine-tuned systems
Marco Dalla, Andrea Visentin, Barry O'Sullivan   +2 more
openaire   +3 more sources

A Machine Learning Framework for Automated Accident Detection Based on Multimodal Sensors in Cars

Sensors, 2022
Identifying accident patterns is one of the most vital research foci of driving analysis. Environmental or safety applications and the growing area of fleet management all benefit from accident detection contributions by minimizing the risk vehicles and ...
Hawzhin Hozhabr Pour, Frédéric Li, Lukas Wegmeth, Christian Trense, Rafał Doniec, Marcin Grzegorzek, Roland Wismüller   +6 more
doaj   +1 more source

Explainable AI for Automated Feature Extraction in Medical Image Segmentation [PDF]

International Journal of BIM and Engineering Science
Automated feature extraction and segmentation of medical images are essential for accurate diagnostics, enabling the identification of relevant structures with minimal human intervention.
N. Gobi, M. Balakrishnan, S. R. Indurekaa, A. B. Arockia Christopher   +3 more
doaj   +1 more source

Automated Adaptive Threshold-Based Feature Extraction and Learning for Spiking Neural Networks

IEEE Access, 2021
Over the past years Spiking Neural Networks (SNNs) models became attractive as a possible bridge to enable low-power event-driven neuromorphic hardware.
Hesham H. Amin
doaj   +1 more source

Remote Sensing for Land Administration

Remote Sensing, 2020
Land administration constitutes the socio-technical systems that govern land tenure, use, value and development within a jurisdiction. The land parcel is the fundamental unit of analysis.
Rohan Bennett, Peter van Oosterom, Christiaan Lemmen, Mila Koeva   +3 more
doaj   +1 more source