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341
Tuning of a fuzzy logic power system stabilizer using geneticalgorithms
منشور في 1997"…It is shown that the performance of FLPSS can be improved significantly by incorporating a genetic based learning mechanism. The performance of the proposed HPSS under different disturbances and loading conditions is investigated. …"
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article -
342
Con-Detect: Detecting adversarially perturbed natural language inputs to deep classifiers through holistic analysis
منشور في 2023"…Deep Learning (DL) algorithms have shown wonders in many Natural Language Processing (NLP) tasks such as language-to-language translation, spam filtering, fake-news detection, and comprehension understanding. …"
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article -
343
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344
Con-Detect: Detecting Adversarially Perturbed Natural Language Inputs to Deep Classifiers Through Holistic Analysis
منشور في 2023"…<p>Deep Learning (DL) algorithms have shown wonders in many Natural Language Processing (NLP) tasks such as language-to-language translation, spam filtering, fake-news detection, and comprehension understanding. …"
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345
Deep Neural Networks for Electromagnetic Inverse Scattering Problems in Microwave Imaging
منشور في 2023احصل على النص الكامل
doctoralThesis -
346
Automated liver tissues delineation techniques: A systematic survey on machine learning current trends and future orientations
منشور في 2023"…Hence, in this paper, we survey the key studies that are published between 2014 and 2022, showcasing the different machine learning algorithms researchers have used to segment the liver, hepatic tumors, and hepatic-vasculature structures. …"
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347
From Collatz Conjecture to chaos and hash function
منشور في 2023"…The effectiveness and dependability of the proposed hash function are evaluated by comparing it with two well-known hash algorithms, namely SHA-3 and SHA-2, as well as several other Chaos-based hash algorithms. …"
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348
Using artificial bee colony to optimize software quality estimation models. (c2015)
منشور في 2016"…Results show that, in most cases, our proposed technique out-performs the others in different aspects.…"
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masterThesis -
349
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350
Decision-level fusion for single-view gait recognition with various carrying and clothing conditions
منشور في 2017"…Gait samples are fed into the MPCA and MPCALDA algorithms using a novel tensor-based form of the gait images. …"
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article -
351
The role of Reinforcement Learning in software testing
منشور في 2023"…</p><h3>Results</h3><p dir="ltr">This study highlights different software testing types to which RL has been applied, commonly used RL algorithms and architecture for learning, challenges faced, advantages and disadvantages of using RL, and the performance comparison of RL-based models against other techniques.…"
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352
Modeling and Control of a Thermally Driven MEMS Actuator for RF Applications
منشور في 2017احصل على النص الكامل
doctoralThesis -
353
Common weaving approach in mainstream languages for software security hardening
منشور في 2013"…We handle the correctness and the completeness of GIMPLE weaving in two different ways. In the first approach, we prove them according to the rules and algorithms provided in this paper. …"
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article -
354
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355
The Effects of Data Mining on Small Businesses in Dubai
منشور في 2011"…The benefits of using data mining on such businesses was confirmed, a different criteria from the traditional kind for evaluating the available tools was used, and an existing cross industry standard for implementing data mining projects (CRISP-DM) was used to evaluate five selected tools for the business based on availability of models, price, platform, and popularity. …"
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356
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357
Comparative assessment of fracture risk among osteoporosis and osteopenia patients: a cross-sectional study
منشور في 2018"…The assessment of the fracture risk was executed by applying the Fracture Assessment Risk (FRAX) index (an algorithm developed by the World Health Organization) based on clinical fracture risks or combination of clinical fracture risks and bone mineral density.…"
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358
The Role of Machine Learning in Diagnosing Bipolar Disorder: Scoping Review
منشور في 2021"…The most commonly used data belonged to the clinical category (19, 58%). We identified different machine learning models used in the selected studies, including classification models (18, 55%), regression models (5, 16%), model-based clustering methods (2, 6%), natural language processing (1, 3%), clustering algorithms (1, 3%), and deep learning–based models (3, 9%). …"
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359
Random Forest Bagging and X‐Means Clustered Antipattern Detection from SQL Query Log for Accessing Secure Mobile Data
منشور في 2021"…Experiments are conducted to evaluate the performance of the RFBXSQLQC technique using the IIT Bombay dataset using the metrics like antipattern detection accuracy, time complexity, false-positive rate, and computational overhead with respect to the differing number of queries. The results revealed that the RFBXSQLQC technique outperforms the existing algorithms by 19% with pattern detection accuracy, 34% minimized time complexity, 64% false-positive rate, and 31% in terms of computational overhead.…"
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360
Assessment and Performance Analysis of Machine Learning Techniques for Gas Sensing E-nose Systems
منشور في 2021احصل على النص الكامل
doctoralThesis