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Outputs (63)

Phishing email detection using Natural Language Processing techniques : a literature survey (2021)
Journal Article
Salloum, S., Gaber, T., Vadera, S., & Shaalan, K. (2021). Phishing email detection using Natural Language Processing techniques : a literature survey. Procedia Computer Science, 189, 19-28. https://doi.org/10.1016/j.procs.2021.05.077

Phishing is the most prevalent method of cybercrime that convinces people to provide sensitive information; for instance, account IDs, passwords, and bank details. Emails, instant messages, and phone calls are widely used to launch such cyber-attacks... Read More about Phishing email detection using Natural Language Processing techniques : a literature survey.

Autonomous haulage systems in the mining industry: cybersecurity, communication and safety issues and challenges (2021)
Journal Article
Gaber, T., El Jazouli, Y., Eldesouky, E., & Ali, A. (2021). Autonomous haulage systems in the mining industry: cybersecurity, communication and safety issues and challenges. Electronics, 10(11), e1357. https://doi.org/10.3390/electronics10111357

The current advancement of robotics, especially in Cyber-Physical Systems (CPS), leads to a prominent combination between the mining industry and connected-embedded technologies. This progress has arisen in the form of state-of-the-art automated gian... Read More about Autonomous haulage systems in the mining industry: cybersecurity, communication and safety issues and challenges.

Acceptance of Google Meet during the spread of Coronavirus by Arab university students (2021)
Journal Article
Al-Maroof, R., Alshurideh, M., Salloum, S., AlHamad, A., & Gaber, T. (2021). Acceptance of Google Meet during the spread of Coronavirus by Arab university students. Informatics, 8(2), e24. https://doi.org/10.3390/informatics8020024

The COVID-19 pandemic not only affected our health and medical systems but also has created large disruption of education systems at school and universities levels. According to the United Nation’s report, COVID-19 has influenced more than 1.6 billio... Read More about Acceptance of Google Meet during the spread of Coronavirus by Arab university students.

A grey wolf-based method for mammographic mass classification (2020)
Journal Article
Tahoun, M., Almazroi, A., Alqarni, M., Gaber, T., Mahmoud, E., & Eltoukhy, M. (2020). A grey wolf-based method for mammographic mass classification. Applied Sciences, 10(23), e8422. https://doi.org/10.3390/app10238422

Breast cancer is one of the most prevalent cancer types with a high mortality rate in women worldwide. This devastating cancer still represents a worldwide public health concern in terms of high morbidity and mortality rates. The diagnosis of breast... Read More about A grey wolf-based method for mammographic mass classification.

Implicit authentication method for smartphone users based on rank aggregation and random forest (2020)
Journal Article
rank aggregation and random forest. Alexandria engineering journal : AEJ, 60(1), 273-283. https://doi.org/10.1016/j.aej.2020.08.006

Currently, the smartphone devices have become an essential part of our daily activities. Smartphone’ users run various essential applications (such as banking and e-health Apps), which contains very confidential information (e.g., credit card number... Read More about Implicit authentication method for smartphone users based on rank aggregation and random forest.

thermogram Breast Cancer Detection : a comparative study of two machine learning techniques (2020)
Journal Article
AlFayez, F., El-Soud, M., & Gaber, T. (2020). thermogram Breast Cancer Detection : a comparative study of two machine learning techniques. Applied Sciences, 10(2), e551. https://doi.org/10.3390/app10020551

Breast cancer is considered one of the major threats for women’s health all over the world. The World Health Organization (WHO) has reported that 1 in every 12 women could be subject to a breast abnormality during her lifetime. To increase survival r... Read More about thermogram Breast Cancer Detection : a comparative study of two machine learning techniques.

Trust-based secure clustering in WSN-based intelligent transportation systems (2018)
Journal Article
transportation systems. Computer Networks, 146, 151-158. https://doi.org/10.1016/j.comnet.2018.09.015

Increasing the number of vehicles on roads leads to congestion and safety problems. Wireless Sensor Network (WSN) is a promising technology providing Intelligent Transportation Systems (ITS) to address these problems. Usually, WSN-based applications,... Read More about Trust-based secure clustering in WSN-based intelligent transportation systems.

Automated toxicity test model based on a bio-inspired technique and AdaBoost classifier (2018)
Journal Article
Tharwat, A., Gaber, T., Hassanien, A., & Elhoseny, M. (2018). Automated toxicity test model based on a bio-inspired technique and AdaBoost classifier. Computers and Electrical Engineering, 71, 346-358. https://doi.org/10.1016/j.compeleceng.2018.07.049

Measuring toxicity is one of the most important steps to develop a new drug. During the drug development, animals are widely used to investigate the toxic effects by exposing them to the toxicants. Zebrafish embryo is one of the most suitable animals... Read More about Automated toxicity test model based on a bio-inspired technique and AdaBoost classifier.

Optimized superpixel and AdaBoost classifier for human thermal face recognition (2017)
Journal Article
Ibrahim, A., Tharwat, A., & Gaber, T. (2018). Optimized superpixel and AdaBoost classifier for human thermal face recognition. Signal, Image and Video Processing, 12(4), 711-719. https://doi.org/10.1007/s11760-017-1212-6

Infrared spectrum-based human recognition systems offer straightforward and robust solutions for achieving an excellent performance in uncontrolled illumination. In this paper, a human thermal face recognition model is proposed. The model consists of... Read More about Optimized superpixel and AdaBoost classifier for human thermal face recognition.