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1
Novel Peak Detection Algorithms for Pileup Minimization in Gamma Ray Spectroscopy
منشور في 2006"…Gamma pulses from a 3" Na(TI) scintillation detector were captured as single and double pulses for the purpose of testing the peak detection algorithms. The pulse classification technique was tested successfully on a TMS320C6000 high performance floating-point processor yielding a reduction of the execution time to 2 msec…"
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2
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3
Fault detection and classification in hybrid energy-based multi-area grid-connected microgrid clusters using discrete wavelet transform with deep neural networks
منشور في 2024"…The proposed DWT-DNN first extracts the input features from the point of common coupling of the cluster system using DWT, and then, these decomposed features are applied as input variables to train the DNN for the detection and classification of various faults. …"
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4
Deepfakes Signatures Detection in the Handcrafted Features Space
منشور في 2023"…It is worth, however, to point out the existence of a relationship between the handwritten signature authenticity and human behavior and brain. …"
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5
Capturing outline of fonts using genetic algorithm and splines
منشور في 2001"…We present a method to convert the original problem into a discrete combinatorial optimization problem and solve it by a genetic algorithm. We also incorporate a corner detection algorithm to detect significant points which are necessary to capture a pleasant looking spline fitting for shapes such as fonts. …"
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6
Using machine learning for disease detection. (c2013)
منشور في 2016"…In order to rationalize this point of view, we will explore and assess eight classification algorithms on eight disease detection datasets with different characteristics each. …"
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masterThesis -
7
PROVOKE: Toxicity trigger detection in conversations from the top 100 subreddits
منشور في 2022"…Implications are that toxicity trigger detection algorithms can leverage generic approaches but must also tailor detections to specific communities.…"
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Multimodal feature fusion and ensemble learning for non-intrusive occupancy monitoring using smart meters
منشور في 2025"…In this study, we introduce the multimodal feature fusion for non-intrusive occupancy monitoring (MMF-NIOM) framework, which leverages both classical and deep machine learning algorithms to achieve state-of-the-art occupancy detection performance using smart meter data. …"
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A Fully Optical Laser Based System for Damage Detection and Localization in Rail Tracks Using Ultrasonic Rayleigh Waves: A Numerical and Experimental Study
منشور في 2022"…Further, As the quality of received signals differs at different sensing points as a result of the surface conditions of the specimen, the Self Adaptive Smart Algorithm (SASA) method was adopted to filter out the noise and accurately pinpoint the defect reflected wave packet which ultimately aids in better detection and localization. …"
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11
Multi-Robot Map Exploration Based on Multiple Rapidly-Exploring Randomized Trees
منشور في 2017احصل على النص الكامل
doctoralThesis -
12
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Benchmarking Concept Drift Detectors for Online Machine Learning
منشور في 2022"…The main task is to detect changes in data distribution that might cause changes in the decision bound aries for a classification algorithm. …"
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14
CEAP
منشور في 2016"…We propose as well a propagation algorithm that disseminates only the final decisions (instead of the whole dataset) among clusters with the aim of reducing the overhead of either exchanging results between each set of vehicles or repeating the detection steps for the already detected malicious vehicles. …"
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15
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Deep Learning-Based Fault Diagnosis of Photovoltaic Systems: A Comprehensive Review and Enhancement Prospects
منشور في 2021"…Recently, due to the enhancement of computing capabilities, the increase of the big data use, and the development of effective algorithms, the deep learning (DL) tool has witnessed a great success in data science. …"
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Integration of Textural and Material Information into BIM Using Spectrometry and Infrared Sensing
منشور في 2015احصل على النص الكامل
doctoralThesis -
18
BioNetApp: An interactive visual data analysis platform for molecular expressions
منشور في 2019"…Correlation analysis provides several visualization features such as Kamada-Kawai, Fruchterman-Reingold Spring embedding network layouts, in addition to single circle, multiple circle and heatmap layouts, whereas comparative analysis presents expression-data distributions across samples, groups, and time points with boxplot display, outlier detection, and data curve fitting. …"