Zobrazeno 1 - 8 of 8 pro vyhledávání: '"Samia M. Abd-Alhalem"'
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Akademický článek
Advancing E-Commerce Authenticity: A Novel Fusion Approach Based on Deep Learning and Aspect Features for Detecting False Reviews
Autor: Samia M. Abd-Alhalem, Hesham Arafat Ali, Naglaa F. Soliman, Abeer D. Algarni, Hanaa Salem Marie
Publikováno v: IEEE Access, Vol 12, Pp 116055-116070 (2024)
In the contemporary digital marketplace, the proliferation of online consumer reviews has a pivotal influence on purchasing decisions. Concurrently, the prevalence of spurious reviews poses a substantial risk to the integrity of e-commerce, misleadin
Externí odkaz: https://doaj.org/article/9b78913ea9014a69a7aafdc20d4d6d0f
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5
DNA Sequences Classification with Deep Learning: A Survey
Autor: Nabil A. Ismail, El-Sayed M. El-Rabaie, Naglaa F. Soliman, Salah Eldin S. E. Abdulrahman, Samia M. Abd –Alhalem, Fathi E. Abd El-Samie
Publikováno v: Menoufia Journal of Electronic Engineering Research. 30:41-51
Deep learning (DL) methods have beenachieving amazing results in solving a variety ofproblems in many different fields especially in the areaof big data. With the advances of the big data era inbioinformatics, applying DL techniques, the DNAsequences
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::cc28c0d214a6117804a67f3ab24ef305
https://doi.org/10.21608/mjeer.2021.146090
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6
Spectral Features Based on Bidirectional Long Short-Term Memory for DNA Classification
Autor: S. E. Abd Elrahman Salah Eldin, El-Sayed M. El-Rabaie, Naglaa F. Soliman, Nabil A. Ismail, Fathi E. Abd El-Samie, Samia M. Abd-Alhalem
Publikováno v: Menoufia Journal of Electronic Engineering Research. 28:183-188
the analyzing hidden features of DNA sequence is main challenge in bioinformatics. Since learning from DNA sequences based on analytical approaches to identify the hidden patterns provides a vital role in various genomic applications. In classificati
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::99c53cd8de6f5152b28f8475c97a1652
https://doi.org/10.21608/mjeer.2019.77008
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7
Bacterial classification with convolutional neural networks based on different data reduction layers
Autor: El-Sayed M. El-Rabaie, Naglaa F. Soliman, Nabil A. Ismail, Fathi E. Abd El-Samie, Salah Eldin, S E Abd Elrahman, Samia M. Abd-Alhalem
Publikováno v: Nucleosides, Nucleotides & Nucleic Acids. 39:493-503
For high accuracy classification of DNA sequences through Convolutional Neural Networks (CNNs), it is essential to use an efficient sequence representation that can accelerate similarity comparison between DNA sequences. In addition, CNN networks can
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::e79956623196fb5dfba27fc7b1dc37e5
https://doi.org/10.1080/15257770.2019.1645851
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8
Speech transmission with COFDM based on different discrete transforms
Autor: Naglaa F. Soliman, Mohammed M. Fouad, Sahar A. El_Rahman, Samia M. Abd-Alhalem, Fathi E. Abd El-Samie
Publikováno v: International Journal of Speech Technology. 19:565-576
Recently, the multimedia and cellular technologies have spread dramatically. Therefore, the demand for digital information has increased. Speech compression is one of the most effective forms of communication. This paper presents three approaches for
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::93e469c196029a90f0840bc906805074
https://doi.org/10.1007/s10772-016-9348-2
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