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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.

Proceedings of the international conference on advanced intelligent systems and informatics 2017 (2017)
Book
Gaber, T., Hassanien, A., Shaalan, K., & Tolba, M. (2017). Proceedings of the international conference on advanced intelligent systems and informatics 2017. Cham: Springer. https://doi.org/10.1007/978-3-319-64861-3

This book gathers the proceedings of the 3rd International Conference on Advanced Intelligent Systems and Informatics 2017 (AISI2017), which took place in Cairo, Egypt from September 9 to 11, 2017. This international and interdisciplinary conference,... Read More about Proceedings of the international conference on advanced intelligent systems and informatics 2017.

A wheelchair control system using human-machine interaction: single-modal and multimodal approaches (2017)
Journal Article
Shahin, M., Tharwat, A., Gaber, T., & Hassanien, A. (2017). A wheelchair control system using human-machine interaction: single-modal and multimodal approaches. Journal of Intelligent Systems, 28(1), https://doi.org/10.1515/jisys-2017-0085

Recent research studies showed that brain-controlled systems/devices are breakthrough technology. Such devices can provide disabled people with the power to control the movement of the wheelchair using different signals (e.g. EEG signals, head moveme... Read More about A wheelchair control system using human-machine interaction: single-modal and multimodal approaches.

Handbook of research on machine learning innovations and trends (2017)
Book
Gaber, T., & Hassanien, A. (2017). Handbook of research on machine learning innovations and trends. Hershey: IGI Global. https://doi.org/10.4018/978-1-5225-2229-4

Continuous improvements in technological applications have allowed more opportunities to develop automated systems. This not only leads to higher success in smart data analysis, but it increases the overall probability of technological progression.... Read More about Handbook of research on machine learning innovations and trends.

An improved moth flame optimization algorithm based on rough sets for tomato diseases detection (2017)
Journal Article
Hassanien, A., Gaber, T., Mokhtar, U., & Hefny, H. (2017). An improved moth flame optimization algorithm based on rough sets for tomato diseases detection. Computers and Electronics in Agriculture, 136, 86-96. https://doi.org/10.1016/j.compag.2017.02.026

Plant diseases is one of the major bottlenecks in agricultural production that have bad effects on the economic of any country. Automatic detection of such disease could minimize these effects. Features selection is a usual pre-processing step used f... Read More about An improved moth flame optimization algorithm based on rough sets for tomato diseases detection.

Particle Swarm Optimization : a tutorial (2017)
Book Chapter
Tharwat, A., Gaber, T., Hassanien, A., & Elnaghi, B. (2017). Particle Swarm Optimization : a tutorial. In T. Gaber, & A. Hassanien (Eds.), Handbook of Research on Machine Learning Innovations and Trends (614-635). IGI Global. https://doi.org/10.4018/978-1-5225-2229-4.ch026

Optimization algorithms are necessary to solve many problems such as parameter tuning. Particle Swarm Optimization (PSO) is one of these optimization algorithms. The aim of PSO is to search for the optimal solution in the search space. This paper hig... Read More about Particle Swarm Optimization : a tutorial.

Trust-based security models in wireless sensor networks: a survey (2017)
Journal Article
Abdelwahab, S., Gaber, T., & Wahed, M. (2017). Trust-based security models in wireless sensor networks: a survey. International Journal of Computational Intelligence Studies, 6(2/3), 245. https://doi.org/10.1504/IJCISTUDIES.2017.089057

One of the major challenges facing wireless sensor networks today is the security. The deployment of sensor nodes is usually done in unattended or hostile environment. This makes the networks susceptible to various threats. It is known that sensor no... Read More about Trust-based security models in wireless sensor networks: a survey.

Privacy-preserving Twitter-based solution for visually impaired people (2017)
Journal Article
Ahmed, D., Gaber, T., & Wahed, M. (2017). Privacy-preserving Twitter-based solution for visually impaired people. International Journal of Advanced Computer Science and Applications, 8(7), https://doi.org/10.14569/IJACSA.2017.080770

Visually impaired people is a big community all over the world. They usually seek help to perform their daily activities such as reading the expired date of food cans or medicine, reading out PIN of a certain ATM Visa, identifying the color of clothe... Read More about Privacy-preserving Twitter-based solution for visually impaired people.