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learning algorithm » learning algorithms (Expand Search)
code algorithm » cosine algorithm (Expand Search), rd algorithm (Expand Search), colony algorithm (Expand Search)
e learning » _ learning (Expand Search), deep learning (Expand Search)
learning algorithm » learning algorithms (Expand Search)
code algorithm » cosine algorithm (Expand Search), rd algorithm (Expand Search), colony algorithm (Expand Search)
e learning » _ learning (Expand Search), deep learning (Expand Search)
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141
Design and Analysis of Lightweight Authentication Protocol for Securing IoD
Published 2021“…We proposed a hash message authentication code/secure hash algorithmic (HMACSHA1) based robust, improved and lightweight authentication protocol for securing IoD. …”
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142
Role of authentication factors in Fin-tech mobile transaction security
Published 2023“…In addition, this also ensures the user is legitimate using advanced technologies and algorithms to predict and discover transaction risks and discourage fraudsters from trying.…”
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143
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144
Systematic reviews in sentiment analysis: a tertiary study
Published 2022“…According to this analysis, LSTM and CNN algorithms are the most used deep learning algorithms for sentiment analysis.…”
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145
Real-Time Social Robot’s Responses to Undesired Interactions Between Children and their Surroundings
Published 2022“…Additionally, we evaluate the performance of the best developed model with children. Machine learning algorithms experiments showed that XGBoost achieved the best performance across all metrics (e.g., accuracy of 90%) and provided fast predictions (i.e., 0.004 s) for the test samples. …”
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146
Developing an online hate classifier for multiple social media platforms
Published 2020“…We then experiment with several classification algorithms (Logistic Regression, Naïve Bayes, Support Vector Machines, XGBoost, and Neural Networks) and feature representations (Bag-of-Words, TF-IDF, Word2Vec, BERT, and their combination). …”
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FoGMatch
Published 2019“…Simulation results reveal that our solution outperforms the two common scheduling algorithms (i.e., Min-Min and Max-Min) in terms of IoT services execution makespan, fog nodes resource utilization efficiency and execution time.…”
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masterThesis -
149
ML-Based Handover Prediction and AP Selection in Cognitive Wi-Fi Networks
Published 2022“…Recently, cognitive network architectures using sophisticated learning techniques are increasingly being applied to such problems. …”
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151
Integration of nonparametric fuzzy classification with an evolutionary-developmental framework to perform music sentiment-based analysis and composition
Published 2019“…In this paper, we introduce a new algorithmic framework for autonomous music sentiment-based expression and composition, titled MUSEC, that perceives an extensible set of six primary human emotions (e.g., anger, fear, joy, love, sadness, and surprise) expressed by a MIDI musical file and then composes (creates) new polyphonic (pseudo) thematic, and diversified musical pieces that express these emotions. …”
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152
From low-cost sensors to high-quality data: A summary of challenges and best practices for effectively calibrating low-cost particulate matter mass sensors
Published 2021“…The methods for correcting and calibrating these biases and dependencies that have been used in the literature likewise range from simple linear and quadratic models to complex machine learning algorithms. Here we review the needs and challenges when trying to get high-quality data from low-cost sensors. …”
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153
A Fusion-Based Approach for Skin Cancer Detection Combining Clinical Images, Dermoscopic Images, and Metadata
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doctoralThesis -
154
User-centric strategies for resource management in heterogeneous wireless networks with QoS considerations
Published 2017“…We demonstrate their e↵ectiveness by presenting performance results and analysis for a wide range of network scenarios.…”
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masterThesis -
155
Design of A Theoretical Framework For A Real-Time Fire Evacuation Guidance System
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doctoralThesis -
156
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157
Current trends and future orientation in diagnosing lung pathologies: A systematic survey
Published 2025“…The CV processing method involves the application of advanced imaging techniques and machine learning algorithms to scrutinize and diagnose lung pathologies and ventilator-associated pneumonia (VAP). …”
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158
PROVOKE: Toxicity trigger detection in conversations from the top 100 subreddits
Published 2022“…Therefore, in this study, we find the turning points (i.e., toxicity triggers) making conversations toxic. …”
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159
Diagnostic performance of artificial intelligence in detecting and subtyping pediatric medulloblastoma from histopathological images: A systematic review
Published 2025“…</p><h3>Conclusion</h3><p dir="ltr">AI algorithms show promise in detecting and subtyping medulloblastomas, but the findings are limited by overreliance on one dataset, small sample sizes, limited study numbers, and lack of meta-analysis Future research should develop larger, more diverse datasets and explore advanced approaches like deep learning and foundation models. …”
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160
Dynamic single node failure recovery in distributed storage systems
Published 2017“…With the emergence of many erasure coding techniques that help provide reliability in practical distributed storage systems, we use fractional repetition coding on the given data and optimize the allocation of data blocks on system nodes in a way that minimizes the system repair cost. …”
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