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Sentiment Analysis of Arabic Tweets on the Great March of Return using Machine Learning

Daher, Saad Tareq; Maghari, Ashraf Yunis; Abushawish, Hussam Fares (Universiti Utara Malaysia (UUM), 2021-02-01)

Social media platforms such as Twitter and Facebook are becoming powerful sources of people’s perception of major events. Most people use social media to express their views on various issues and events and develop their ...

COVID-19 Detection from Chest X-ray Scans using Machine Learning

Eljamassi, Duaa F.; Maghari, Ashraf Yunis (Institute of Electrical and Electronics Engineers (IEEE), 2020-12)

Recently, the virus (COVID-19) has spread widely throughout the world and has led to the examination of large numbers of suspected cases using standard COVID-19 tests and has become pandemic. Everyday life, public health ...

Sentiment Analysis of Arabic Tweets Using Supervised Machine Learning

Khalid Bolbol, Noor; Maghari, Ashraf Yunis (Institute of Electrical and Electronics Engineers (IEEE), 2020-12)

The information momentum available on social media is an appropriate environment for identifying users' reactions and attitudes towards a particular topic, products, or any issues. To analyze this data and extract useful ...

COVID-19 Detection in X-ray Images using CNN Algorithm

Musleh, Areej A.wahab Ahmed; Maghari, Ashraf Yunis (Institute of Electrical and Electronics Engineers (IEEE), 2020-12)

Based on the best published research from Stanford University, the CheXNet algorithm was developed to diagnose and detect pneumonia from chest X-rays. To achieve better performance than experienced radiologists from the ...

Sentiment Analysis of Mobile Phone Products Reviews Using Classification Algorithms

Salem, Mohammed A. M.; Maghari, Ashraf Y. A. (Institute of Electrical and Electronics Engineers (IEEE), 2020-12)

Sentiment analysis or opinion mining is a process of analyzing opinions and emotions to infer the tendencies and impressions shown on the analyzed data and classify them as positive or negative. Sentiment analysis is ...

Recognition of partially occluded faces using regularized ICA

Maghari, Ashraf Y. A. (2020-11)

Face recognition approaches that use subspace projection are heavily related to basis images, especially in the case of partial occlusion. To improve the recognition performance, the occlusion should be excluded from the ...

Medium-term forecasts for groundwater production and rainfall amounts (Deir El-Balah City as a case study)

Abuamra, Ihsan A.; Maghari, Ashraf Y. A.; Abushawish, Hussam F. (Springer Science and Business Media LLC, 2020-09)

Forecasting is a data mining technique which benefits from a variety of time series data sources to extract actual value from historical data and helps business decision-makers in effective planning. An increase in demand ...

Medium‑term forecasts for salinity rates and groundwater levels

Maghari, Ashraf Y. A.; Abushawish, Hussam (Springer Science and Business Media LLC, 2020-07-25)

An increase in demand for groundwater associated with uncontrolled consumption has led to the depletion of groundwater wells. As a result, the mixing of seawater with groundwater increases the salinity rates, especially ...

A Mixed Reality based Approach for Enhancing Drug Dispensing Process using Microsoft HoloLens

Saleem, Khalil; Maghari, Ashraf Y. A. (Available at SSRN 3648492, 2020-07-13)

Technology is considered as the key of modernity of any field of our life. Every department of pharmacy uses many types of modern technologies, starting from drug design to drug clinical studies to industrial pharmacy and ...

A Comparative Study of DCT and DWT Image Compression Techniques combined with Huffman coding

Maghari, Ashraf Y. A. (ScopeMed Publishing, 2019-08)

Image compression techniques have been widely used to store and transmit data which requires storage space and high transfer speed. The explosive growth of high-quality photos leads to the requirement of efficient technique ...