Zobrazeno 1 - 10
of 22
pro vyhledávání: '"Amir Mansoori"'
Publikováno v:
IEEE Access, Vol 9, Pp 122696-122711 (2021)
Microwave Imaging (MI) for biomedical applications has attracted attention due to its harmless radiation compared to X-ray or MRI. One of the commonly used computing methods in MI is Finite Difference Time Domain (FDTD), which is executed several tim
Externí odkaz:
https://doaj.org/article/427ecd77fff344b2b840ebd21a2344ef
Publikováno v:
Transactions of the Indian Ceramic Society. 82:31-39
Autor:
Mohammad Amir Mansoori, Mario R. Casu
Publikováno v:
Lecture Notes in Electrical Engineering ISBN: 9783031303326
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::2d589f2a0050bf4a44ecef92362ef5a6
https://hdl.handle.net/11583/2978334
https://hdl.handle.net/11583/2978334
Autor:
null Afsana, Aarti Ahlawat, Manju Bala, Sapna Balayan, Arumugam Balusamy, Sonia Bansal, Nidhi Chauhan, Vishnu Chauhan, Hideyasu China, Shelly Dalal, James Davis, Moirangthem Prabha Devi, Toshifumi Dohi, Himadri Roy Ghatak, Sahil Goel, Rashi Gupta, Deepika Gupta, Neeti Hooda, Utkarsh Jain, Dharmendra Kumar Jigyasu, Kavita Kachhawa, Pandian Kannan, Amit Kumar, Parveen Kumar, Ravi Kumar, Smita S. Kumar, Rajesh Kumar, Ankur M. Kumar, Bidyut Kumar Kundu, Sandeep K. Malyan, Amir Mansoori, Ashish Mathur, Shalini Nagabooshanam, Richa Pandey, Subramanian Ponmani, Rajesh Punia, Preeti Redhu, Souradeep Roy, Kirti Saxena, Aftab A. Shabnam, Preeti Sharma, Geeta Sharma, Sandeep Singh, Vanita Thakur, Shikha Wadhwa
Publikováno v:
Multifaceted Bio-sensing Technology ISBN: 9780323908078
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::87b36ff47178e27e6d95a1bce87e059d
https://doi.org/10.1016/b978-0-323-90807-8.00046-4
https://doi.org/10.1016/b978-0-323-90807-8.00046-4
Publikováno v:
Multifaceted Bio-sensing Technology ISBN: 9780323908078
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::8fd11a06c02a19dcfed5cdb413d9c61a
https://doi.org/10.1016/b978-0-323-90807-8.00007-5
https://doi.org/10.1016/b978-0-323-90807-8.00007-5
Autor:
Mohammad Amir Mansoori, Mario R. Casu
Implementing fast and accurate Support Vector Machine (SVM) classifiers in embedded systems with limited compute and memory capacity and in applications with real-time constraints, such as continuous medical monitoring for anomaly detection, can be c
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::00e57e645db5afca8b90139c5f32f993
Autor:
Mohammad Amir Mansoori, Mario R. Casu
Publikováno v:
Lecture Notes in Electrical Engineering ISBN: 9783030954970
Lecture Notes in Electrical Engineering
Lecture Notes in Electrical Engineering-Applications in Electronics Pervading Industry, Environment and Society
Lecture Notes in Electrical Engineering
Lecture Notes in Electrical Engineering-Applications in Electronics Pervading Industry, Environment and Society
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::33e4d2dee50ccf9a324a2a6181f7110f
https://doi.org/10.1007/978-3-030-95498-7_34
https://doi.org/10.1007/978-3-030-95498-7_34
Publikováno v:
Sensors and Actuators B: Chemical. 370:132389
Autor:
Mario R. Casu, Mohammad Amir Mansoori
Publikováno v:
PRIME
2019 15th Conference on Ph.D Research in Microelectronics and Electronics (PRIME)
2019 15th Conference on Ph.D Research in Microelectronics and Electronics (PRIME)
Principal Component Analysis (PCA) is a widely used method for dimensionality reduction in different application areas, including microwave imaging where the size of input data is large. Despite its popularity, one of the difficulties in using PCA is
Autor:
Mario R. Casu, Mohammad Amir Mansoori
Publikováno v:
Electronics
Volume 9
Issue 3
Electronics, Vol 9, Iss 3, p 449 (2020)
Volume 9
Issue 3
Electronics, Vol 9, Iss 3, p 449 (2020)
Principal Component Analysis (PCA) is a technique for dimensionality reduction that is useful in removing redundant information in data for various applications such as Microwave Imaging (MI) and Hyperspectral Imaging (HI). The computational complexi