Zobrazeno 1 - 10 of 51 pro vyhledávání: '"F. Ajesh"'
1
Akademický článek
Efficient Dual-Cooperative Bait Detection Scheme for Collaborative Attackers on Mobile Ad-Hoc Networks
Autor: Osamah Ibrahim Khalaf, F. Ajesh, Abdulsattar Abdullah Hamad, Gia Nhu Nguyen, Dac-Nhuong Le
Publikováno v: IEEE Access, Vol 8, Pp 227962-227969 (2020)
Security and correspondence happening between network central point will be an instance for principal issues in Mobile Ad-hoc Networks (MANETs). Due to some ideas created by the organization leading to avoid attacks but may end in failure due to inap
Externí odkaz: https://doaj.org/article/abc3839a1a0a4af1ba8aec43553a6681
Zobrazit plný text záznamu
2
Automated Detection of Nonmelanoma Skin Cancer Based on Deep Convolutional Neural Network
Autor: Muhammad Arif, Felix M. Philip, F. Ajesh, Diana Izdrui, Maria Daniela Craciun, Oana Geman
Publikováno v: Journal of Healthcare Engineering. 2022:1-15
One of the deadliest diseases is skin cancer, especially melanoma. The high resemblance between different skin lesions such as melanoma and nevus in the skin colour images increases the complexity of identification and diagnosis. An efficient automat
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::1549e012070a9300e0b6450f66cd9b8f
https://doi.org/10.1155/2022/6952304
Zobrazit plný text záznamu
3
Brain Tumor Detection and Classification by MRI Using Biologically Inspired Orthogonal Wavelet Transform and Deep Learning Techniques
Autor: Muhammad Arif, F. Ajesh, Shermin Shamsudheen, Oana Geman, Diana Izdrui, Dragos Vicoveanu
Publikováno v: Journal of Healthcare Engineering, Vol 2022 (2022)
Journal of Healthcare Engineering
Radiology is a broad subject that needs more knowledge and understanding of medical science to identify tumors accurately. The need for a tumor detection program, thus, overcomes the lack of qualified radiologists. Using magnetic resonance imaging, b
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::e25638c875b001883a2129f742973cd9
https://doi.org/10.1155/2022/2693621
Zobrazit plný text záznamu
7
Video Anomaly Detection Using the Optimization-Enabled Deep Convolutional Neural Network
Autor: Felix M Philip, Jayakrishnan, Haseena P, F. Ajesh
Publikováno v: The Computer Journal. 65:1272-1292
In video surveillance, automatic detection of the anomalies is the active research area in computer technology. Even though various video anomaly detection methods are introduced, detecting anomalous events, such as illegal actions and crimes, is a m
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::31cf2ca37549c7165539910a7f20a4ff
https://doi.org/10.1093/comjnl/bxaa177
Zobrazit plný text záznamu
10
RETRACTED ARTICLE: Early diagnosis of glaucoma using multi-feature analysis and DBN based classification
Autor: R. Ravi, G. Rajakumar, F. Ajesh
Publikováno v: Journal of Ambient Intelligence and Humanized Computing. 12:4027-4036
In this new era, the advancement towards the diagnosis of disease in its early-stage has improved. The medical field is not only equipped with the new generation devices but also the approach. The ultimate aim of this research is to diagnose a Glauco
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::e71528df53b3e95692699ab03b28d4b4
https://doi.org/10.1007/s12652-020-01771-z
Zobrazit plný text záznamu

Vyhledávací nástroje:

Upřesnit hledání

Omezení vyhledávání
Plný text Recenzováno Digitální knihovna AV ČR
Zdroje