Zobrazeno 1 - 10
of 66
pro vyhledávání: '"Kamran Siddique"'
Publikováno v:
IEEE Access, Vol 12, Pp 49779-49790 (2024)
Multibiometric systems have the potential to mitigate error rates and address certain inherent weaknesses found in unimodal systems. This study introduces an innovative scheme for user recognition in multibiometric systems, centered on a score-level
Externí odkaz:
https://doaj.org/article/319f3f8080c94703b60357d2424db3c9
Autor:
Yuchen Liu, Daniil Mikriukov, Owen Christopher Tjahyadi, Gangmin Li, Terry R. Payne, Yong Yue, Kamran Siddique, Ka Lok Man
Publikováno v:
Applied Sciences, Vol 14, Iss 1, p 274 (2023)
In the evolving landscape of portfolio management (PM), the fusion of advanced machine learning techniques with traditional financial methodologies has opened new avenues for innovation. Our study introduces a cutting-edge model combining deep reinfo
Externí odkaz:
https://doaj.org/article/0e513cce93e4410b9d20a905380fbb6c
Autor:
Andac Imak, Adalet Celebi, Kamran Siddique, Muammer Turkoglu, Abdulkadir Sengur, Iftekhar Salam
Publikováno v:
IEEE Access, Vol 10, Pp 18320-18329 (2022)
Panoramic and periapical radiograph tools help dentists in diagnosing the most common dental diseases, such as dental caries. Generally, dental caries is manually diagnosed by dentists based on panoramic and periapical images. For several reasons, su
Externí odkaz:
https://doaj.org/article/4ccc5a6dbfbf43fd9d6a82d580e09223
Autor:
Berna Ari, Kamran Siddique, Omer Faruk Alcin, Muzaffer Aslan, Abdulkadir Sengur, Raja Majid Mehmood
Publikováno v:
IEEE Access, Vol 10, Pp 72171-72181 (2022)
Emotion perception is critical for behavior prediction. There are many ways to capture emotional states by observing the body and copying actions. Physiological markers such as electroencephalography (EEG) have gained popularity, as facial emotions m
Externí odkaz:
https://doaj.org/article/b016c90708494848b07a3983dd903293
Autor:
Kamran Siddique, Yoshifumi Ogami
Publikováno v:
Sensors, Vol 23, Iss 11, p 5265 (2023)
Cross-axis sensitivity is generally undesirable, and lower values are required for the accurate performance of a thermal accelerometer. In this study, errors in devices are utilized to simultaneously measure two physical quantities of an unmanned aer
Externí odkaz:
https://doaj.org/article/bf85d27f3b9644a08a2897552e7f3db9
Publikováno v:
IEEE Access, Vol 9, Pp 149456-149464 (2021)
In this paper, a novel approach was developed for Parkinson’s disease (PD) diagnosis based on speech disorders. When the literature about the speech disorders-based PD diagnosis was reviewed, it was seen that the most of approaches were concentrate
Externí odkaz:
https://doaj.org/article/480129834d834f12bb790643444cb80e
Publikováno v:
EURASIP Journal on Image and Video Processing, Vol 2020, Iss 1, Pp 1-9 (2020)
Abstract This paper addresses the recognitions of human actions in videos. Human action recognition can be seen as the automatic labeling of a video according to the actions occurring in it. It has become one of the most challenging and attractive pr
Externí odkaz:
https://doaj.org/article/e68548e68cc74347aa457821c3196846
Autor:
Arafat Al-Dhaqm, Shukor Abd Razak, David A. Dampier, Kim-Kwang Raymond Choo, Kamran Siddique, Richard Adeyemi Ikuesan, Abdulhadi Alqarni, Victor R. Kebande
Publikováno v:
IEEE Access, Vol 8, Pp 112846-112858 (2020)
Database forensic investigation (DBFI) is an important area of research within digital forensics. It's importance is growing as digital data becomes more extensive and commonplace. The challenges associated with DBFI are numerous, and one of the chal
Externí odkaz:
https://doaj.org/article/f451001e902e42f5a173ab388df24449
Autor:
Arafat Al-Dhaqm, Shukor Abd Razak, Richard Adeyemi Ikuesan, Victor R. Kebande, Kamran Siddique
Publikováno v:
IEEE Access, Vol 8, Pp 173359-173375 (2020)
Mobile Forensics (MF) field uses prescribed scientific approaches with a focus on recovering Potential Digital Evidence (PDE) from mobile devices leveraging forensic techniques. Consequently, increased proliferation, mobile-based services, and the ne
Externí odkaz:
https://doaj.org/article/fb8748199b51412cb5d8c5ab1c916f8f
Autor:
Arafat Al-Dhaqm, Shukor Abd Razak, Kamran Siddique, Richard Adeyemi Ikuesan, Victor R. Kebande
Publikováno v:
IEEE Access, Vol 8, Pp 145018-145032 (2020)
For every contact that is made in a database, a digital trace will potentially be left and most of the database breaches are mostly aimed at defeating the major security goals (Confidentiality, Integrity, and Authenticity) of data that reside in the
Externí odkaz:
https://doaj.org/article/dd930653dd814e41aa181f99a5927e71