Zobrazeno 1 - 10
of 337
pro vyhledávání: '"Karim Faez"'
Publikováno v:
International Journal of Computational Intelligence Systems, Vol 17, Iss 1, Pp 1-21 (2024)
Abstract The challenge of supervised learning in spiking neural networks (SNNs) for digit classification from speech signals is examined in this study. Meta-heuristic algorithms and a fuzzy logic framework are used to train SNNs. Using gray wolf opti
Externí odkaz:
https://doaj.org/article/5f2d0633a8de42bc9df18eb67a437c56
Publikováno v:
Scientific Reports, Vol 13, Iss 1, Pp 1-17 (2023)
Abstract Drug–target interaction prediction is a vital stage in drug development, involving lots of methods. Experimental methods that identify these relationships on the basis of clinical remedies are time-taking, costly, laborious, and complex in
Externí odkaz:
https://doaj.org/article/7e4bda3df4fa4bcd97d73062cc44d77b
Publikováno v:
IEEE Access, Vol 11, Pp 134804-134821 (2023)
The computer-aided diagnosis (CAD) of skin diseases relies heavily on automated skin lesion segmentation, albeit presenting considerable challenges due to lesion diversity in shape, size, color, and texture, as well as potential blurry boundaries wit
Externí odkaz:
https://doaj.org/article/43ca4fa13405402893a8795d5e7b1da2
Autor:
Iman Iraei, Karim Faez
Publikováno v:
IET Image Processing, Vol 15, Iss 10, Pp 2213-2226 (2021)
Abstract Tracking the specific object in the blurred scenes is one of the challenging problems in computer vision and image processing. The accuracy and performance of trackers within the blur frames usually demonstrate a severe decrease. Accordingly
Externí odkaz:
https://doaj.org/article/62b8e7654cb1485d9bfe3677995d2a79
Publikováno v:
IEEE Access, Vol 9, Pp 154396-154412 (2021)
The Hierarchical Max-pooling models (HMAX) have demonstrated excellent outperformance when integrated with various computer vision algorithms for the purpose of recognizing objects in images. However, the conventional HMAX model has two main problems
Externí odkaz:
https://doaj.org/article/8616253ce68b4f239bdef27d07419def
Publikováno v:
Frontiers in Biomedical Technologies, Vol 7, Iss 3 (2020)
Purpose: One of the essential problems in deep-learning face recognition research is the use of self-made and less counted data sets, which forces the researcher to work on duplicate and provided data sets. In this research, we try to resolve this pr
Externí odkaz:
https://doaj.org/article/b10c8f0e7f8a46bb867a90df8d87f801
Publikováno v:
Journal of Medical Signals and Sensors, Vol 7, Iss 2, Pp 80-85 (2017)
Brain–computer interfaces enable users to control devices with electroencephalographic (EEG) activity from the scalp or with single-neuron activity from within the brain. One of the most challenging issues in this regard is the balance between the
Externí odkaz:
https://doaj.org/article/53c87cb80f974f84b0019780484a3278
Publikováno v:
IET Computer Vision, Vol 10, Iss 5, Pp 398-406 (2016)
Common VSM (vehicle speed measurement) methods lack either necessary precision and/or flexibility to be used conveniently in law enforcement applications. In this study, a new method is proposed for simultaneous camera calibration and VSM compensatin
Externí odkaz:
https://doaj.org/article/28a80749494d48d9a7d628ef022dada5
Publikováno v:
Entropy, Vol 20, Iss 4, p 244 (2018)
In this paper, a new method is proposed for motion vector steganalysis using the entropy value and its combination with the features of the optimized motion vector. In this method, the entropy of blocks is calculated to determine their texture and th
Externí odkaz:
https://doaj.org/article/25cf053c922546c2a330b52ecf0e1309
Publikováno v:
Future Internet, Vol 10, Iss 1, p 1 (2017)
Wide-spread deployment of Wireless Sensor Networks (WSN) necessitates special attention to security issues, amongst which Sybil attacks are the most important ones. As a core to Sybil attacks, malicious nodes try to disrupt network operations by crea
Externí odkaz:
https://doaj.org/article/08323e973d574627acd9844ffd896fe6