Zobrazeno 1 - 10 of 13 pro vyhledávání: '"Arafat Abu Mallouh"'
1
Akademický článek
A New Efficient Method for Refining the Reinforcement Learning Algorithm to Train Deep Q Agents for Reaching a Consensus in P2P Networks
Autor: Arafat Abu Mallouh, Zakariya Qawaqneh, Omar Abuzaghleh, Ahmad Al-Rababa'A
Publikováno v: IEEE Access, Vol 11, Pp 38665-38679 (2023)
The usage of distributed Peer-to-Peer (P2P) networks has been growing steadily for a reasonable period. Various applications rely on the infrastructure of P2P networks, where nodes communicate to accomplish a task without the need for a central autho
Externí odkaz: https://doaj.org/article/876490b019314715a090da5ec5bec6d0
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2
Akademický článek
A New Cost Function Combining Deep Neural Networks (DNNs) and l2,1-Norm with Extraction of Robust Facial and Superpixels Features in Age Estimation
Autor: Arafat Abu Mallouh, Zakariya Qawaqneh, Buket D. Barkana
Publikováno v: Applied Sciences, Vol 8, Iss 10, p 1943 (2018)
Automatic age estimation from unconstrained facial images is a challenging task and it recently has gained much attention due to its wide range of applications. In this paper, we propose a new model based on convolutional neural networks (CNNs) and l
Externí odkaz: https://doaj.org/article/0f4dd6c5cb6b4bca86d8cb4a9c4c74f8
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3
Utilizing CNNs and transfer learning of pre-trained models for age range classification from unconstrained face images
Autor: Arafat Abu Mallouh, Buket D. Barkana, Zakariya Qawaqneh
Publikováno v: Image and Vision Computing. 88:41-51
Automatic age classification from real-world and wild face images is a challenging task and has an increasing importance due to its wide range of applications in current and future lifestyles. As a result of increasing age specific human-computer int
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::96d0429aba64ee68a80ddace73252953
https://doi.org/10.1016/j.imavis.2019.05.001
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4
A Hierarchy of Deep Reinforcement Learning Agents for Decision Making in Blockchain Nodes
Autor: Arafat Abu Mallouh, Zakariya Qawaqneh, Omar Abuzaghleh
Publikováno v: IEEE EUROCON 2021 - 19th International Conference on Smart Technologies.
Distributed P2P network applications are increasingly growing and it is expected to gain more attention in the future for the wide range of attractive features it offers. One of the popular applications of P2P networks is the blockchain technology an
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::ca5bd44f70e96b83945f2a0daae7883e
https://doi.org/10.1109/eurocon52738.2021.9535600
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5
Age and gender classification from speech and face images by jointly fine-tuned deep neural networks
Autor: Arafat Abu Mallouh, Zakariya Qawaqneh, Buket D. Barkana
Publikováno v: Expert Systems with Applications. 85:76-86
A new cost function is developed for the concurrent and jointly fine-tuned DNNs.A new DNN architectures are proposed.Two DNNs are trained concurrently and jointly fine-tuned.Speaker age and gender classification is studied.Age estimation from unconst
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::34e04fca86908d589845bd7e089c108f
https://doi.org/10.1016/j.eswa.2017.05.037
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6
New transformed features generated by deep bottleneck extractor and a GMM–UBM classifier for speaker age and gender classification
Autor: Arafat Abu Mallouh, Buket D. Barkana, Zakariya Qawaqneh
Publikováno v: Neural Computing & Applications
Speaker age and gender classification is one of the most challenging problems in speech signal processing. Recently with developing technologies, identifying speaker age and gender information has become a necessity for speaker verification and ident
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::fc1540fe53e25fc160e4c2137e912240
https://doi.org/10.1007/s00521-017-2848-4
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9
A New Cost Function Combining Deep Neural Networks (DNNs) and l2,1-Norm with Extraction of Robust Facial and Superpixels Features in Age Estimation
Autor: Buket D. Barkana, Arafat Abu Mallouh, Zakariya Qawaqneh
Publikováno v: Applied Sciences, Vol 8, Iss 10, p 1943 (2018)
Applied Sciences
Volume 8
Issue 10
Automatic age estimation from unconstrained facial images is a challenging task and it recently has gained much attention due to its wide range of applications. In this paper, we propose a new model based on convolutional neural networks (CNNs) and l
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::e6acc57dc2734744ea62bd67f6c75fe0
https://doi.org/10.3390/app8101943
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10
A Distributed Dynamic Channel Allocation Scheme in Cellular Communication Networks
Autor: Arafat Abu Mallouh, Hussein Al-Bahadili
Publikováno v: Journal of Information Technology Research. 2:53-69
This article presents a description and performance evaluation of an efficient distributed dynamic channels allocation (DDCA) scheme, which can be used for channel allocation in cellular communication networks (CCNs), such as the global system for mo
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::fcfaaf559d032bb552819fe1b325554e
https://doi.org/10.4018/jitr.2009010104
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