14 Papers
18 Citations
Ali Raza is an academic researcher from Rochester Institute of Technology - Dubai. The author has contributed to research in topics: Computer science & Blockchain. The author has an hindex of 5, co-authored 14 publications. Previous affiliations of Ali Raza include University of Tasmania.
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Papers
Blockchain: Trends and Future
Wenli Yang,Saurabh Garg,Ali Raza,David G. Herbert,Byeong Ho Kang +4 more
- 27 Aug 2018
TL;DR: The current trends in blockchain technology are presented from both technical and application viewpoints and the key challenges and future work required that will help in determining what is possible when blockchain is applied to existing and future problems are highlighted.
Offline Arabic Handwriting Recognition Using Deep Machine Learning: A Review of Recent Advances
Rami Ahmed,Kia Dashtipour,Mandar Gogate,Ali Raza,Rui Zhang,Kaizhu Huang,Ahmad Hawalah,Ahsan Adeel,Amir Hussain +8 more
- 13 Jul 2019
TL;DR: This paper commissions a survey on emerging AHWR technologies with some insight on OAHR background, challenges, opportunities, and future research trends, and focuses on developing Offline Arabic Handwriting Recognition (OAHR).
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Estimating Service Quality in Industrial Internet-of-Things Monitoring Applications With Blockchain
TL;DR: The use of blockchain to calculate the Service Quality (SQ) in an Industrial IoT for monitoring application and analyzes private blockchains for suitability in IIoT are discussed.
An Ensemble Based Classification Approach for Persian Sentiment Analysis
Kia Dashtipour,Cosimo Ieracitano,Francesco Carlo Morabito,Ali Raza,Amir Hussain +4 more
- 01 Jan 2021
TL;DR: This work introduces an ensemble classifier for Persian sentiment analysis using shallow and deep learning algorithms to improve the performance of the state-of-art approaches.
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PerSent 2.0: Persian sentiment lexicon enriched with domain-specific words
Kia Dashtipour,Ali Raza,Alexander Gelbukh,Rui Zhang,Erik Cambria,Amir Hussain +5 more
- 13 Jul 2019
TL;DR: This paper presents the first version of PerSent Persian sentiment lexicon, which was small and included only words and phrases from general domain, and presents its extension with words from three different domains and evaluates its performance on polarity classification task using various machine learning-based classifiers.
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