Comparative study of microbial adhesion on different orthodontic brackets - An In Vivo study

Autor: Vartika Tripathi, Neha Assudani, Abdullah S Alasmari, Jasbir Meher, Salman H Khan, Samir Sahib M.N. Khan

Publikováno v: Journal of Pharmacy and Bioallied Sciences, Vol 15, Iss 6, Pp 1270-1273 (2023)

Aim: To study the microbial adhesion on different orthodontic brackets (conventional, ceramic, and self-ligating brackets). Materials and Methods: Three types of bracket systems i.e. self-ligating, conventional, and ceramic brackets were used consist

Externí odkaz: https://doaj.org/article/48c2ca4cc82c41429bc933debf26befd

A Six-Component Vector Sensor Comprising Electrically Long Dipoles and Large Loops— To Simultaneously Estimate Incident Sources’ Directions-of-Arrival and Polarizations

Autor: Salman H. Khan, Kainam Thomas Wong

Publikováno v: IEEE Transactions on Antennas and Propagation. 68:6355-6363

An “electromagnetic vector sensor” (EMVS) comprises three orthogonal dipoles and three orthogonal loops, all in spatial collocation. The former triplet aims to directly measure the $3 \times 1$ electric-field vector ${\mathbf{e}} $ , whereas the

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::5a7145bfa1735031356c5bc1a605cf22
https://doi.org/10.1109/tap.2020.2988980

Image Super-Resolution as a Defense Against Adversarial Attacks

Autor: Aamir Mustafa, Jianbing Shen, Ling Shao, Salman H. Khan, Munawar Hayat

Publikováno v: IEEE Transactions on Image Processing. 29:1711-1724

Convolutional Neural Networks have achieved significant success across multiple computer vision tasks. However, they are vulnerable to carefully crafted, human-imperceptible adversarial noise patterns which constrain their deployment in critical secu

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::1eccc2007ac4bfc6d219cbaf765f3049
https://doi.org/10.1109/tip.2019.2940533

Synthesizing the Unseen for Zero-Shot Object Detection

Autor: Munawar Hayat, Salman H. Khan, Fahad Shahbaz Khan, Syed Waqas Zamir, Nasir Hayat, Shafin Rahman

Publikováno v: Computer Vision – ACCV 2020 ISBN: 9783030695347
ACCV (3)

The existing zero-shot detection approaches project visual features to the semantic domain for seen objects, hoping to map unseen objects to their corresponding semantics during inference. However, since the unseen objects are never visualized during

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::2821682d82d4da4a37416916bb7351b1
https://doi.org/10.1007/978-3-030-69535-4_10

Meta-transfer learning driven tensor-shot detector for the autonomous localization and recognition of concealed baggage threats

Autor: Muhammad Shafay, Salman H. Khan, Mohammed Bennamoun, Taimur Hassan, Samet Akcay, Naoufel Werghi, Ernesto Damiani

Publikováno v: Sensors, 2020, Vol.20(22), pp.6450 [Peer Reviewed Journal]
Sensors, Vol 20, Iss 6450, p 6450 (2020)
Sensors (Basel, Switzerland)
Sensors
Volume 20
Issue 22

Screening baggage against potential threats has become one of the prime aviation security concerns all over the world, where manual detection of prohibited items is a time-consuming and hectic process. Many researchers have developed autonomous syste

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::3755e006c66c603fe0f8f5ac67bc0d82
http://dro.dur.ac.uk/32162/1/32162.pdf