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341
A Geometric-Primitives-Based Compression Scheme for Testing Systems-on-a-Chip
منشور في 2001"…In this paper, it is assumed that an embedded core will be used to execute the decompression algorithm and decompress the test data.…"
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article -
342
A geometric-primitives-based compression scheme for testingsystems-on-a-chip
منشور في 2001"…In this paper, it is assumed that an embedded core will be used to execute the decompression algorithm and decompress the test data…"
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article -
343
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344
Optimum Track to Track Fusion Using CMA-ES and LSTM Techniques
منشور في 2024"…The first method uses an offline technique based on a global optimizer called the CMA-ES algorithm and the second one uses LSTM in its different forms to learn the online adjustment of the fusion weights between the two tracks. …"
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345
CEAP
منشور في 2016"…Simulation results show that our model is able to increase the accuracy of detections, enhance the attack detection rate, decrease the false positive rate, and improve the packet delivery ratio in the presence of high mobility compared to the classical SVM-based, Dempster–Shafer-based, and averaging-based detection techniques.…"
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article -
346
Smart non-intrusive appliance identification using a novel local power histogramming descriptor with an improved k-nearest neighbors classifier
منشور في 2021"…Furthermore, an improved k-nearest neighbors (IKNN) algorithm is presented to reduce the learning computation time and improve the classification performance. …"
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347
Mobile Robot Trajectory Tracking Using Neural Networks
منشور في 2009احصل على النص الكامل
doctoralThesis -
348
Investigation of Forming a Framework to shortlist contractors in the tendering phase
منشور في 2022"…After obtaining the weights of the decision factors, a model using Machine Learning algorithm on Google Colab was written using the Python language. …"
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349
Spatiotemporal Mapping and Monitoring of Mangrove Forests Changes From 1990 to 2019 in the Northern Emirates, UAE Using Random Forest, Kernel Logistic Regression and Naive Bayes Tr...
منشور في 2020"…The approach was developed based on random forest (RF), Kernel logistic regression (KLR), and Naive Bayes Tree machine learning algorithms which use multitemporal Landsat images. …"
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350
Predicting long-term type 2 diabetes with support vector machine using oral glucose tolerance test
منشور في 2019"…Using 11 OGTT measurements, we have deduced 61 features, which are then assigned a rank and the top ten features are shortlisted using minimum redundancy maximum relevance feature selection algorithm. All possible combinations of the 10 best ranked features were used to generate SVM based prediction models. …"
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351
Dynamic adaptation for video streaming over mobile devices. (c2013)
منشور في 2013احصل على النص الكامل
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masterThesis -
352
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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353
Systematic reviews in sentiment analysis: a tertiary study
منشور في 2022"…In addition to the tertiary study, we also identified recent 112 deep learning-based sentiment analysis papers and categorized them based on the applied deep learning algorithms. …"
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354
Query acceleration in distributed database systems
منشور في 2001"…Query optimization strategies aim to minimize the cost of transferring data across networks. Many techniques and algorithms have been proposed to optimize queries. …"
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355
Using artificial bee colony to optimize software quality estimation models. (c2015)
منشور في 2016"…We build our model using machine learning techniques in particular rule-based models. …"
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masterThesis -
356
Design and Analysis of Secure Digital Twin Architecture
منشور في 2022احصل على النص الكامل
doctoralThesis -
357
Predicting Android Malware Using Evolution Networks
منشور في 2025"…With this aim, we introduce evolutionary networks, and particularly the Susceptible-Infectious-Susceptible (SIS) model, as a way to address the limitations of previous studies which are typically based on traditional machine learning models. The SIS model is usually used to represent disease spread between individuals in a population with transition between susceptible and infected states. …"
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masterThesis -
358
Mining airline data for CRM strategies. (c2006)
منشور في 2006احصل على النص الكامل
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masterThesis -
359
Building power consumption datasets: Survey, taxonomy and future directions
منشور في 2020"…Accordingly, a novel visualization strategy based on using power consumption micro-moments has been presented along with an example of deploying machine learning algorithms to classify the micro-moment classes and identify anomalous power usage.…"
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360