Zobrazeno 1 - 10
of 217
pro vyhledávání: '"Rashid Ansari"'
Autor:
Omid Halimi Milani, Salih Furkan Atici, Veerasathpurush Allareddy, Vinitha Ramachandran, Rashid Ansari, Ahmet Enis Cetin, Mohammed H. Elnagar
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-13 (2024)
Abstract Accurate classification of tooth development stages from orthopantomograms (OPG) is crucial for dental diagnosis, treatment planning, age assessment, and forensic applications. This study aims to develop an automated method for classifying t
Externí odkaz:
https://doaj.org/article/fa7285eda0dc4f2486da9902e678d85d
Autor:
Omid Halimi Milani, Salih Furkan Atici, Veerasathpurush Allareddy, Vinitha Ramachandran, Rashid Ansari, Ahmet Enis Cetin, Mohammed H. Elnagar
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-1 (2024)
Externí odkaz:
https://doaj.org/article/89967926ee034c6e8857d8e676ef5c69
Autor:
Lubna Shibly Mokatren, Rashid Ansari, Ahmet Enis Cetin, Alex D. Leow, Olusola A. Ajilore, Heide Klumpp, Fatos T. Yarman Vural
Publikováno v:
IEEE Access, Vol 9, Pp 19053-19065 (2021)
Electroencephalography (EEG) serves as an effective diagnostic tool for mental disorders and neurological abnormalities. Enhanced analysis and classification of EEG signals can help improve performance in classifying the disorders and abnormalities.
Externí odkaz:
https://doaj.org/article/758e2a7eb3f249f69c52d313480faf10
Publikováno v:
IEEE Access, Vol 8, Pp 59485-59510 (2020)
All major banks in the USA and around the world offer remote check deposit services. Consumers can use their smart phones to deposit checks remotely. This new online check truncation system is vulnerable to a wide range of attacks, including digital
Externí odkaz:
https://doaj.org/article/a82767875f1343188a6084ecace2716e
Autor:
Salih Furkan Atici, Rashid Ansari, Veerasathpurush Allareddy, Omar Suhaym, Ahmet Enis Cetin, Mohammed H Elnagar
Publikováno v:
PLoS ONE, Vol 17, Iss 7, p e0269198 (2022)
IntroductionWe aim to apply deep learning to achieve fully automated detection and classification of the Cervical Vertebrae Maturation (CVM) stages. We propose an innovative custom-designed deep Convolutional Neural Network (CNN) with a built-in set
Externí odkaz:
https://doaj.org/article/0dbb5ff04f3740c9bad8367d8e1ff8d1
Autor:
Salih Furkan Atici, Mohammed H. Elnagar, Veerasathpurush Allareddy, Omar Suhaym, Rashid Ansari, Ahmet Enis Cetin
Introduction: We aim to apply deep learning methods to achieve the continuous classification of the Cervical Vertebrae Maturation (CVM) stages and to assess skeletal maturity. We propose a novel two-stage system with a parallel structure network and
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::4a6675e74155cb6d478232c93a3bb0a7
https://doi.org/10.21203/rs.3.rs-2954041/v1
https://doi.org/10.21203/rs.3.rs-2954041/v1
Publikováno v:
International Journal of Control. :1-18
Autor:
Anurag Sharma, Mohammad Rashid Ansari
Publikováno v:
2022 4th International Conference on Advances in Computing, Communication Control and Networking (ICAC3N).
Publikováno v:
2022 4th International Conference on Advances in Computing, Communication Control and Networking (ICAC3N).
Publikováno v:
2022 International Interdisciplinary Humanitarian Conference for Sustainability (IIHC).