A Novel Practice-Based Process Model for Secure Agile Software Development (2024)
Thesis
Ardo, A. (2024). A Novel Practice-Based Process Model for Secure Agile Software Development. (Thesis). University of Salford

Nigeria is ranked second globally after India in reported incidences of cyberattacks. Attackers usually exploit vulnerabilities in software which may not have considered security features during the development process. Agile methodologies are a well... Read More about A Novel Practice-Based Process Model for Secure Agile Software Development.

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.

Consumer privacy protection in digital right management: A survey (2017)
Journal Article
Mostafa, A., Gaber, T., Eltaweel, G., & Abraham, A. (2017). Consumer privacy protection in digital right management: A survey. International journal of computer information systems and industrial management applications, 9, 218-231

Digital Right Management (DRM) is a technology used to manage the usage of the digital contentsthat distributed through the Internet, and helps the content owners to prevent un-authorized use of theircopyrighted content. Ho... Read More about Consumer privacy protection in digital right management: A survey.

Linear discriminant analysis : a detailed tutorial (2017)
Journal Article
Gaber, T., Tharwat, A., Ibrahim, A., & Hassanien, A. (2017). Linear discriminant analysis : a detailed tutorial. Ai communications : the European journal on artificial intelligence, 30(2), 169-190. https://doi.org/10.3233/AIC-170729

Linear Discriminant Analysis (LDA) is a very common technique for dimensionality reduction problems as a preprocessing step for machine learning and pattern classification applications. At the same time, it is usually used as a black box, but (so... Read More about Linear discriminant analysis : a detailed tutorial.

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.

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.

One-dimensional vs. two-dimensional based features: Plant identification approach (2016)
Journal Article
Tharwat, A., Gaber, T., & Hassanien, A. (2017). One-dimensional vs. two-dimensional based features: Plant identification approach. Journal of Applied Logic, 24(Part B), 15-31. https://doi.org/10.1016/j.jal.2016.11.021

The number of endangered species has been increased due to shifts in the agricultural production, climate change, and poor urban planning. This has led to investigating new methods to address the problem of plant species identification/classification... Read More about One-dimensional vs. two-dimensional based features: Plant identification approach.

Proceedings of the international conference on advanced intelligent systems and informatics 2016 (2016)
Book
Gaber, T., Hassanien, A., Shaalan, K., Azar, A., & Tolba, M. (2016). Proceedings of the international conference on advanced intelligent systems and informatics 2016. Cham: Springer. https://doi.org/10.1007/978-3-319-48308-5

This book gathers the proceedings of the 2nd International Conference on Advanced Intelligent Systems and Informatics (AISI2016), which took place in Cairo, Egypt during October 24–26, 2016. This international interdisciplinary conference, which high... Read More about Proceedings of the international conference on advanced intelligent systems and informatics 2016.

Biometric cattle identification approach based on Weber's local descriptor and AdaBoost classifier (2016)
Journal Article
Gaber, T., Tharwat, A., Hassanien, A., & Snasel, V. (2016). Biometric cattle identification approach based on Weber's local descriptor and AdaBoost classifier. Computers and Electronics in Agriculture, 122, https://doi.org/10.1016/j.compag.2015.12.022

In this paper, we proposed a new and robust biometric-based approach to identify head of cattle. This approach used the Weber Local Descriptor (WLD) to extract robust features from cattle muzzle print images (images from 31 head of cattle were used).... Read More about Biometric cattle identification approach based on Weber's local descriptor and AdaBoost classifier.

Two biometric approaches for cattle identification based on features and classifiers fusion (2015)
Journal Article
Tharwat, A., Gaber, T., & Hassanien, A. (2015). Two biometric approaches for cattle identification based on features and classifiers fusion. International journal of image mining (Online), 1(4), 342. https://doi.org/10.1504/IJIM.2015.073902

There is an increasing need for controlling safety policies of animals and efficient management of food production. One way to help achieve this need is the automatic animal identification/identification and traceability systems. In this paper, tw... Read More about Two biometric approaches for cattle identification based on features and classifiers fusion.

The 1st international conference on advanced intelligent system and informatics (AISI2015), November 28-30, 2015, Beni Suef, Egypt (2015)
Book
Gaber, T., Hassanien, A., El-Bendary, N., & Dey, N. (2015). The 1st international conference on advanced intelligent system and informatics (AISI2015), November 28-30, 2015, Beni Suef, Egypt. Cham: Springer. https://doi.org/10.1007/978-3-319-26690-9

The conference topics address different theoretical and practical aspects, and implementing solutions for intelligent systems and informatics disciplines including bioinformatics, computer science, medical informatics, biology, social studies, as wel... Read More about The 1st international conference on advanced intelligent system and informatics (AISI2015), November 28-30, 2015, Beni Suef, Egypt.

Digital mammography image analysis system based on mathematical morphology (2003)
Presentation / Conference
Gaber, T., & Hassanien, A. (2003, March). Digital mammography image analysis system based on mathematical morphology. Presented at IEEE computer society 7th International Conference On Intelligent Engineering Systems INES 2003, Assiut-Luxor, Egypt

Wireless sensor networks-based solutions for cattle health monitoring : a survey
Presentation / Conference
Mohamad, G., & Gaber, T. Wireless sensor networks-based solutions for cattle health monitoring : a survey. Presented at The International Conference on Advanced Intelligent Systems and Informatics (AISI2019), Cairo, Egypt

Wireless Sensor Networks (WSN) are nowadays becoming an active research in different fields. Precise irrigation, agriculture, earthquake, fire monitoring in forests and animal health monitoring are few applications of WSN. Animal health monitoring sy... Read More about Wireless sensor networks-based solutions for cattle health monitoring : a survey.

Thermogram breast cancer prediction approach based on Neutrosophic sets and fuzzy c-means algorithm
Presentation / Conference
Gaber, T., Ismail, G., Anter, A., Soliman, M., Ali, M., Semary, N., …Snasel, V. Thermogram breast cancer prediction approach based on Neutrosophic sets and fuzzy c-means algorithm. Presented at 37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC)

The early detection of breast cancer makes many women survive. In this paper, a CAD system classifying breast cancer thermograms to normal and abnormal is proposed. This approach consists of two main phases: automatic segmentation and classificat... Read More about Thermogram breast cancer prediction approach based on Neutrosophic sets and fuzzy c-means algorithm.