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sample processing » image processing (Expand Search), melt processing (Expand Search)
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element » elements (Expand Search)
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141
Complexity Avoidance using Biological Resemblance of Modular Multivariable Structure
Published 2014“…GFT (Genetic Fuzzimetric Technique) is of no exception which merges Fuzzy logic with genetic algorithm to achieve the optimization of the decision making process under uncertainty. …”
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conferenceObject -
142
Automated skills assessment in open surgery: A scoping review
Published 2025“…The assessment input for the automation algorithms were predominantly hand movement. Around 37.5 % (<i>n </i>= 15) of the studies assessed algorithm performance using classification accuracy. …”
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143
A Full-System Approach of the Elastohydrodynamic Line/Point Contact Problem
Published 2008“…The use of the finite element method allows the use of variable unstructured meshing and different types of elements within the same model which leads to a reduced size of the problem. …”
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144
Query acceleration in distributed database systems
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145
AI-Based Methods for Predicting Required Insulin Doses for Diabetic Patients
Published 2015“…The performance of the three algorithms is evaluated on a data set found in the public UCMI repository.…”
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146
Extreme Early Image Recognition Using Event-Based Vision
Published 2023“…In this paper, we propose an innovative image recognition technique that operates on image events rather than frame-based data, paving the way for a new paradigm of recognizing objects prior to image acquisition. …”
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147
Predicting insulin dosage for diabetic patients to reach optimal glucose levels. (c2012)
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masterThesis -
148
Fast Transient Stability Assessment of Power Systems Using Optimized Temporal Convolutional Networks
Published 2024“…The proposed TCN-GWO uses both synchronously sampled values and synthetic values from various bus systems. …”
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149
Lung-EffNet: Lung cancer classification using EfficientNet from CT-scan images
Published 2023“…The class imbalance issue was handled through multiple data augmentation methods to overcome the biases. …”
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150
A fine-grained XML structural comparison approach
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conferenceObject -
151
Multi-Classifier Tree With Transient Features for Drift Compensation in Electronic Nose
Published 2020“…These electronic instruments rely on Machine Learning (ML) algorithms for recognizing the sensed odors. The effect of long-term drift influences the performance of ML algorithms and the models those are trained on drift free data fail to perform on the drifted data. …”
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152
Machine Learning Model for a Sustainable Drilling Process
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doctoralThesis -
153
Communications in electronic textile systems
Published 2017“…Abstract- Electronic textiles (e-textiles) are emerging as a novel method for constructing electronic systems in wearable and large area applications. …”
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conferenceObject -
154
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155
A Fusion-Based Approach for Skin Cancer Detection Combining Clinical Images, Dermoscopic Images, and Metadata
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doctoralThesis -
156
Artificial intelligence based anomaly detection of energy consumption in buildings: A review, current trends and new perspectives
Published 2021“…<p dir="ltr">Enormous amounts of data are being produced everyday by sub-meters and smart sensors installed in residential buildings. …”
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157
Regression Testing of Database Applications
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158
Impacts of climate change on the global spread and habitat suitability of <i>Coxiella burnetii</i>: Future projections and public health implications
Published 2025“…Climate variables were obtained from five global circulation models (GCMs) under two climate change scenarios (SSP2-4.5 and SSP5-8.5). …”
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159
“Adaptive Control Technique Using Multilayer Feedforward Neural Networks”
Published 2005“…The proposed adaptive controller is a combination of a parameter estimation algorithm to estimate the parameters of the process and an adaptation algorithm for the connection weights of the neural network. …”
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160
Copy number variations in the genome of the Qatari population
Published 2015“…CNVs were detected in 97 unrelated Qatari individuals by running two calling algorithms on each of two primary datasets: high-resolution genotyping (Illumina Omni 2.5M) and high depth whole-genome sequencing (Illumina PE 100bp). …”