Results 41 to 50 of about 106,876 (300)
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
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Plane-based registration of construction laser scans with 3D/4D building models [PDF]
, 2012 With the development of building information modelling (BIM) and terrestrial laser scanning (TLS) in the architecture, engineering, construction and facility management (AEC/FM) industry, the registration of site laser scans and project 3D (BIM) models ...
Bosché, Frédéric, Frédéric Bosché
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Вісник Харківського національного університету імені В.Н. Каразіна. Серія Геологія. Географія. Екологія, 2022 Introduction. The 3D modeling technology of the urban environment using LiDAR survey data expands the possibilities of urban research. With proper use of various methods, models and algorithms for processing and analyzing LiDAR data, they can ...
Denys Serohin
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Remote Sensing for Land Administration 2.0
Remote Sensing, 2022 Contemporary land administration (LA) systems incorporate the concepts of cadastre and land registration. Conceptually, LA is part of a global land management paradigm incorporating LA functions such as land value, land tenure, land development, and land
Mila Koeva +2 more
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, 2022 This study aims to introduce a hand-crafted machine learning method to classify ischemic and hemorrhagic strokes with satisfactory performance. In the first step of this work, a new CT brain for images dataset was collected for stroke patients.
Kadir, Khairul Azmi Abd +11 more
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Algorithm for Automated Segmentation and Feature Extraction of Thermal Images
, 2020 Medical infrared thermal imaging techniques can provide the high-quality images for monitoring and pre-clinical diagnostic of the diseases by showing the thermal abnormalities available in the body. Its biggest advantage is non-contact, non-invasive and very fast way of use.
Poplavska, Anna +4 more
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A Scalable Automated Diagnostic Feature Extraction System for EEGs
2019 IEEE 43rd Annual Computer Software and Applications Conference (COMPSAC), 2019 Researchers using Electroencephalograms ("EEGs") to diagnose clinical outcomes often run into computational complexity problems. In particular, extracting complex, sometimes nonlinear, features from a large number of time-series often require large amounts of processing time.
Prakhar Agrawal +9 more
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Feature Extraction and Automated Classification of Heartbeats by Machine Learning
CoRR, 2016 We present algorithms for the detection of a class of heart arrhythmias with the goal of eventual adoption by practicing cardiologists. In clinical practice, detection is based on a small number of meaningful features extracted from the heartbeat cycle.
Choudur Lakshminarayan, Tony Basil
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Genre Classification in Automated Ingest and Appraisal Metadata [PDF]
, 2006 Metadata creation is a crucial aspect of the ingest of digital materials into digital libraries. Metadata needed to document and manage digital materials are extensive and manual creation of them expensive.
Ross, S +7 more
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Automated Harmonic Signal Removal Technique Using Stochastic Subspace-Based Image Feature Extraction
Journal of Imaging, 2020 This paper presents automated harmonic removal as a desirable solution to effectively identify and discard the harmonic influence over the output signal by neglecting any user-defined parameter at start-up and automatically reconstruct back to become a ...
Muhammad Danial Bin Abu Hasan +3 more
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