All Outputs (3)

Composite repair and remanufacturing. (2022)
Book Chapter
VON FREEDEN, J., DE WIT, J., CABA, S., KROLL, S., ZHAO, H., REN, J., YAN, Y., ARSHED, F., AHMAD, A. and XIROUCHAKIS, P. 2022. Composite repair and remanufacturing. In Colledani, M. and Turri, S. (eds.) Systemic circular economy solutions for fiber reinforced composites. Cham: Springer [online], pages 191-214. Available from: https://doi.org/10.1007/978-3-031-22352-5_10

For the reuse of components and structures made of fiber composite materials, a complete remanufacturing process chain is necessary to prepare the parts for a further life cycle. The first step is to dismantle the parts to be reused. Fiber composite... Read More about Composite repair and remanufacturing..

Framework for detecting APTs based on steps analysis and correlation. (2022)
Book Chapter
EKE, H.N., PETROVSKI, A., AHRIZ, H. and AL-KADRI, M.O. 2022. Framework for detecting APTs based on steps analysis and correlation. In Abbaszadeh, M. and Zemouche, A. (eds.) Security and resilience in cyber-physical systems: detection, estimation and control. Cham: Springer [online], chapter 6, pages 119-147. Available from: https://doi.org/10.1007/978-3-030-97166-3_6

An advanced persistent threatAdvanced persistent threat, (APTAPT), is an attack that uses multiple attack behavior to penetrate a system, achieve specifically targeted and highly valuable goals within a system. This type of attack has presented an in... Read More about Framework for detecting APTs based on steps analysis and correlation..

A comparative study of deep-learning models for COVID-19 diagnosis based on X-ray images. (2022)
Book Chapter
SIDDIQUI, S., HOSSAIN, E., FERDOUS, R., ARIFEEN, M., RAHMAN, W., MASUM, S., HOPGOOD, A., GOOD, A. and GEGOV, A. 2022. A comparative study of deep-learning models for COVID-19 diagnosis based on X-ray images. In Howlett, R.J., Jain, L.C., Littlewood, J.R. and Balas, M.M. (eds.) Smart and sustainable technology for resilient cities and communities. Singapore: Springer [online], pages 163-174. Available from: https://doi.org/10.1007/978-981-16-9101-0_12

Background: The rise of COVID-19 has caused immeasurable loss to public health globally. The world has faced a severe shortage of the gold standard testing kit known as reverse transcription-polymerase chain reaction (RT-PCR). The accuracy of RT-PCR... Read More about A comparative study of deep-learning models for COVID-19 diagnosis based on X-ray images..