Reinforcement learning in VANET penetration testing

Autor: Phillip Garrad, Saritha Unnikrishnan

Publikováno v: Results in Engineering, Vol 17, Iss , Pp 100970- (2023)

The recent popularity of Connected and Autonomous Vehicles (CAV) corresponds with an increase in the risk of cyber-attacks. These cyber-attacks are instigated by white-coat hackers, and cyber-criminals. As Connected Vehicles move towards full autonom

Externí odkaz: https://doaj.org/article/5795132911ce470c8ce353e817e733be

Advanced MR Techniques for Preoperative Glioma Characterization:Part 2

Autor: Gilbert Hangel, Bárbara Schmitz‐Abecassis, Nico Sollmann, Joana Pinto, Fatemehsadat Arzanforoosh, Frederik Barkhof, Thomas Booth, Marta Calvo‐Imirizaldu, Guilherme Cassia, Marek Chmelik, Patricia Clement, Ece Ercan, Maria A. Fernández‐Seara, Julia Furtner, Elies Fuster‐Garcia, Matthew Grech‐Sollars, N. Tugay Guven, Gokce Hale Hatay, Golestan Karami, Vera C. Keil, Mina Kim, Johan A. F. Koekkoek, Simran Kukran, Laura Mancini, Ruben Emanuel Nechifor, Alpay Özcan, Esin Ozturk‐Isik, Senol Piskin, Kathleen M. Schmainda, Siri F. Svensson, Chih‐Hsien Tseng, Saritha Unnikrishnan, Frans Vos, Esther Warnert, Moss Y. Zhao, Radim Jancalek, Teresa Nunes, Lydiane Hirschler, Marion Smits, Jan Petr, Kyrre E. Emblem

Publikováno v: Hangel, G, Schmitz-abecassis, B, Sollmann, N, Pinto, J, Arzanforoosh, F, Barkhof, F, Booth, T, Calvo-imirizaldu, M, Cassia, G, Chmelik, M, Clement, P, Ercan, E, Fernández-seara, M A, Furtner, J, Fuster-garcia, E, Grech-sollars, M, Guven, N T, Hatay, G H, Karami, G, Keil, V C, Kim, M, Koekkoek, J A F, Kukran, S, Mancini, L, Nechifor, R E, Özcan, A, Ozturk-isik, E, Piskin, S, Schmainda, K M, Svensson, S F, Tseng, C, Unnikrishnan, S, Vos, F, Warnert, E, Zhao, M Y, Jancalek, R, Nunes, T, Hirschler, L, Smits, M, Petr, J & Emblem, K E 2023, ' Advanced MR Techniques for Preoperative Glioma Characterization : Part 2 ', Journal of Magnetic Resonance Imaging, vol. 57, no. 6, pp. 1676-1695 . https://doi.org/10.1002/jmri.28663
JOURNAL OF MAGNETIC RESONANCE IMAGING
Hangel, G, Schmitz-Abecassis, B R, Sollmann, N, Pinto, J, Arzanforoosh, F, Barkhof, F, Booth, T, Calvo-Imirizaldu, M, Cassia, G, Chmelik, M, Clement, P, Ercan, E, Fernández-Seara, M A, Furtner, J, Fuster-Garcia, E, Grech-Sollars, M, Guven, N T, Hatay, G H, Karami, G, Keil, V C, Kim, M, Koekkoek, J A F, Kukran, S, Mancini, L, Nechifor, R E, Özcan, A, Ozturk-Isik, E, Piskin, S, Schmainda, K M, Svensson, S F, Tseng, C-H, Unnikrishnan, S, Vos, F, Warnert, E, Zhao, M Y, Jancalek, R, Nunes, T, Hirschler, L, Smits, M, Petr, J & Emblem, K E 2023, ' Advanced MR Techniques for Preoperative Glioma Characterization : Part 2 ', Journal of Magnetic Resonance Imaging, vol. 57, no. 6, pp. 1676-1695 . https://doi.org/10.1002/jmri.28663
Journal of Magnetic Resonance Imaging 57(2023)6, 1676-1695

Preoperative clinical MRI protocols for gliomas, brain tumors with dismal outcomes due to their infiltrative properties, still rely on conventional structural MRI, which does not deliver information on tumor genotype and is limited in the delineation

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::1022503bb4aa5e74d26b26d410ee4cac
https://kclpure.kcl.ac.uk/en/publications/ea923c6f-1249-465d-927a-47b0644bbdce

Hyperspectral Brain Tissue Classification using a Fast and Compact 3D CNN Approach

Autor: Hamail Ayaz, David Tormey, Ian McLoughlin, Muhammad Ahmad, Saritha Unnikrishnan

Publikováno v: 2022 IEEE 5th International Conference on Image Processing Applications and Systems (IPAS).

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::6613c1353b7203f38c442a58eb34d411
https://doi.org/10.1109/ipas55744.2022.10053044

An Integrated Histogram-Based Vision and Machine-Learning Classification Model for Industrial Emulsion Processing

Autor: John Donovan, Saritha Unnikrishnan, Russell Macpherson, David Tormey

Publikováno v: IEEE Transactions on Industrial Informatics. 16:5948-5955

Existing techniques in emulsion quality evaluation are found to be highly subjective, time-consuming, and prone to overprocessing. Other conventional droplet analysis techniques such as laser diffraction, which require dilution of samples, introduce

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::8ec8e02924634c4aca320099c649904d
https://doi.org/10.1109/tii.2019.2959021

A Hybrid Deep Model for Brain Tumor Classification

Autor: Ian McLoughlin, Muhammad Ahmad, David Tormey, Hamail Ayaz, Saritha Unnikrishnan

Publikováno v: Lecture Notes in Electrical Engineering ISBN: 9789811638794

Classification of brain tumors from Magnetic Resonance Images (MRIs) using Computer-Aided Diagnosis (CAD) has faced some major challenges. Diagnosis of brain tumors such as glioma, meningioma, and pituitary mostly rely on manual evaluation by neuro-r

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::786a57833e171d710a0b7499c47e51d7
https://doi.org/10.1007/978-981-16-3880-0_29