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Recent trends in mathematical expressions recognition: An LDA-based analysis
Context Although recognition works on mathematical expressions have been explored for
four decades, the current literature and trends are varied and frequently influenced by …
four decades, the current literature and trends are varied and frequently influenced by …
Deep learning in mobile and wireless networking: A survey
The rapid uptake of mobile devices and the rising popularity of mobile applications and
services pose unprecedented demands on mobile and wireless networking infrastructure …
services pose unprecedented demands on mobile and wireless networking infrastructure …
Deep Neuro-Fuzzy System application trends, challenges, and future perspectives: A systematic survey
Deep neural networks (DNN) have remarkably progressed in applications involving large
and complex datasets but have been criticized as a black-box. This downside has recently …
and complex datasets but have been criticized as a black-box. This downside has recently …
Evolution of IoT-enabled connectivity and applications in automotive industry: A review
Abstract Emerging Internet of Things (IoT) is considered as blessings for the automotive
industry to offer vast opportunities to inventively create, develop, and enhance seamless …
industry to offer vast opportunities to inventively create, develop, and enhance seamless …
[HTML][HTML] A comparative systematic literature review on knee bone reports from mri, x-rays and ct scans using deep learning and machine learning methodologies
The purpose of this research was to provide a “systematic literature review” of knee bone
reports that are obtained by MRI, CT scans, and X-rays by using deep learning and machine …
reports that are obtained by MRI, CT scans, and X-rays by using deep learning and machine …
15 years of Big Data: a systematic literature review
Big Data is still gaining attention as a fundamental building block of the Artificial Intelligence
and Machine Learning world. Therefore, a lot of effort has been pushed into Big Data …
and Machine Learning world. Therefore, a lot of effort has been pushed into Big Data …
Information retrieval methodology for aiding scientific database search
During literature reviews, and specially when conducting systematic literature reviews,
finding and screening relevant papers during scientific document search may involve …
finding and screening relevant papers during scientific document search may involve …
Machine learning and deep learning for big data analytics: A review of methods and applications
The rapid increase in data creation poses significant challenges and also opens up
possibilities for innovation that hinges on data analysis. This review explores how machine …
possibilities for innovation that hinges on data analysis. This review explores how machine …
Sentiment Analysis on a Set of Movie Reviews Using Deep Learning
Sentiment analysis is the area which deals with judgments, responses as well as feelings,
which is generated from texts, being extensively used in fields like data mining, web mining …
which is generated from texts, being extensively used in fields like data mining, web mining …
Machine learning and non-machine learning methods in mathematical recognition systems: Two decades' systematic literature review
Tools based on machine learning (ML) have seen widespread application in the prediction
and categorization of mathematical symbols and phrases. The purpose of this work is to …
and categorization of mathematical symbols and phrases. The purpose of this work is to …