Search Results - "Riaz, Saman"

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  1. 1

    A Comparison of Pooling Methods for Convolutional Neural Networks by Zafar, Afia, Aamir, Muhammad, Mohd Nawi, Nazri, Arshad, Ali, Riaz, Saman, Alruban, Abdulrahman, Dutta, Ashit Kumar, Almotairi, Sultan

    Published in Applied sciences (01-09-2022)
    “…One of the most promising techniques used in various sciences is deep neural networks (DNNs). A special type of DNN called a convolutional neural network (CNN)…”
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  2. 2

    Semi-Supervised Deep Fuzzy C-Mean Clustering for Imbalanced Multi-Class Classification by Arshad, Ali, Riaz, Saman, Jiao, Licheng

    Published in IEEE access (2019)
    “…Semi-supervised learning has been successfully connected in the research fields of machine learning such as data mining and dynamic data analysis. Imbalance…”
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  3. 3

    Semi-Supervised Deep Fuzzy C-Mean Clustering for Software Fault Prediction by Arshad, Ali, Riaz, Saman, Jiao, Licheng, Murthy, Aparna

    Published in IEEE access (01-01-2018)
    “…Software fault prediction is a consequential research area in software quality promise. In this paper, we propose a semi-supervised deep fuzzy C-mean (DFCM)…”
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  4. 4

    Intercept the Cloud Network From Brute Force and DDoS Attacks via Intrusion Detection and Prevention System by Nadeem, Muhammad, Arshad, Ali, Riaz, Saman, Band, Shahab S., Mosavi, Amir

    Published in IEEE access (2021)
    “…Cloud computing is considered to be the best technique for storing data online instead of using a hard drive. It includes three different types of computing…”
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  5. 5

    Rough Noise-Filtered Easy Ensemble for Software Fault Prediction by Riaz, Saman, Arshad, Ali, Jiao, Licheng

    Published in IEEE access (01-01-2018)
    “…Software fault prediction is the very important research topic for software quality assurance. Data-driven approaches provide robust mechanisms to deal with…”
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  6. 6

    A Semi-Supervised CNN With Fuzzy Rough C-Mean for Image Classification by Riaz, Saman, Arshad, Ali, Jiao, Licheng

    Published in IEEE access (2019)
    “…While deep learning (DL) has proven to be a powerful paradigm for the classification of the large-scale big image data set. Deep learning network such as CNN…”
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  7. 7

    Characterization of Glycosylation-Specific Systemic and Mucosal IgA Antibody Responses to Escherichia coli Mucinase YghJ (SslE) by Riaz, Saman, Steinsland, Hans, Thorsing, Mette, Andersen, Ann Z, Boysen, Anders, Hanevik, Kurt

    Published in Frontiers in immunology (17-12-2021)
    “…Efforts to develop broadly protective vaccines against pathogenic are ongoing. A potential antigen candidate for vaccine development is the metalloprotease…”
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  8. 8

    Emergence of Novel WEDEx-Kerberotic Cryptographic Framework to Strengthen the Cloud Data Security against Malicious Attacks by Zahra, Syeda Wajiha, Nadeem, Muhammad, Arshad, Ali, Riaz, Saman, Ahmed, Waqas, Abu Bakr, Muhammad, Alabrah, Amerah

    Published in Symmetry (Basel) (01-05-2024)
    “…Researchers have created cryptography algorithms that encrypt data using a public or private key to secure it from intruders. It is insufficient to protect the…”
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  9. 9

    The Empirical Study of Semi-Supervised Deep Fuzzy C-Mean Clustering for Software Fault Prediction by Arshad, Ali, Riaz, Saman, Jiao, Licheng, Murthy, Aparna

    Published in IEEE access (01-01-2018)
    “…Software fault prediction is a very consequent research topic for software quality assurance. The performance of fault prediction model depends on the features…”
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  10. 10

    A Secure Architecture to Protect the Network from Replay Attacks during Client-to-Client Data Transmission by Nadeem, Muhammad, Arshad, Ali, Riaz, Saman, Zahra, Syeda Wajiha, Dutta, Ashit Kumar, Almotairi, Sultan

    Published in Applied sciences (01-08-2022)
    “…Cloud computing is an online data storage system that can be easily accessed anywhere. Various algorithms and techniques have been developed to secure cloud…”
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  11. 11

    Resistance to Chilo infuscatellus (Lepidoptera: Pyraloidea) in transgenic lines of sugarcane expressing Bacillus thuringiensis derived Vip3A protein by Riaz, Saman, Nasir, Idrees Ahmad, Bhatti, Muhammad Umar, Adeyinka, Olawale Samuel, Toufiq, Nida, Yousaf, Iqra, Tabassum, Bushra

    Published in Molecular biology reports (01-04-2020)
    “…Sustainable agriculture requires management of insect pests through resistance development. The biological potential of Cry toxins and Vip protein, derived…”
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  12. 12

    Fuzzy Rough C-Mean Based Unsupervised CNN Clustering for Large-Scale Image Data by Riaz, Saman, Arshad, Ali, Jiao, Licheng

    Published in Applied sciences (01-10-2018)
    “…Deep learning has been well-known for a couple of years, and it indicates incredible possibilities for unsupervised learning of representations with the…”
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  13. 13

    Human Mucosal IgA Immune Responses against Enterotoxigenic Escherichia coli by Riaz, Saman, Steinsland, Hans, Hanevik, Kurt

    Published in Pathogens (Basel) (29-08-2020)
    “…Infection with enterotoxigenic Escherichia coli (ETEC) is a major contributor to diarrheal illness in children in low- and middle-income countries and…”
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  14. 14

    Preventing the Cloud Networks through Semi-Supervised Clustering from Both Sides Attacks by Nadeem, Muhammad, Arshad, Ali, Riaz, Saman, Zahra, Syeda Wajiha, Dutta, Ashit Kumar, Almotairi, Sultan

    Published in Applied sciences (01-08-2022)
    “…Cloud computing is a centralized data storage system providing various services worldwide. Different organizations are using the cloud for other purposes. As…”
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  15. 15

    Two-Layer Security Algorithms to Prevent Attacks on Data in Cyberspace by Nadeem, Muhammad, Arshad, Ali, Riaz, Saman, Zahra, Syeda Wajiha, Dutta, Ashit Kumar, Alruban, Abdulrahman, Almutairi, Badr, Almotairi, Sultan

    Published in Applied sciences (01-10-2022)
    “…The ratio at which the number of users is increasing in cloud computing, the same as the number of data destruction, has doubled. Various algorithms have been…”
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  16. 16

    Development of Security Rules and Mechanisms to Protect Data from Assaults by Zahra, Syeda Wajiha, Arshad, Ali, Nadeem, Muhammad, Riaz, Saman, Dutta, Ashit Kumar, Alzaid, Zaid, Alabdan, Rana, Almutairi, Badr, Almotairi, Sultan

    Published in Applied sciences (01-12-2022)
    “…Cloud cryptography is the art of converting plain text into an unreadable format, which protects data and prevents the data from being misused by the attacker…”
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  17. 17

    An efficient hybrid approach for optimization using simulated annealing and grasshopper algorithm for IoT applications by Sajjad, Faria, Rashid, Muhammad, Zafar, Afia, Zafar, Kainat, Fida, Benish, Arshad, Ali, Riaz, Saman, Dutta, Ashit Kumar, Rodrigues, Joel J. P. C.

    Published in Discover Internet of things (01-12-2023)
    “…The multi-objective grasshopper optimization algorithm (MOGOA) is a relatively new algorithm inspired by the collective behavior of grasshoppers, which aims to…”
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  18. 18

    Methylglyoxal and insulin resistance in berberine-treated type 2 diabetic patients by Memon, Muhammad, Khan, Raisa, Riaz, Saman, Ain, Qurat, Ahmed, Masood, Kumar, Naresh

    Published in Journal of research in medical sciences (01-01-2018)
    “…Background: Diabetes mellitus is a chronic metabolic disorder of hyperglycemia. Chronic hyperglycemia produces advanced glycation end products such as the…”
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  19. 19

    Potential of endochitinase gene to control Fusarium wilt and early blight disease in transgenic potato lines by Fatima, Neelam, Tabassum, Bushra, Yousaf, Iqra, Malik, Momina, Khan, Anwar, Sajid, Imtiaz Ahmad, Tariq, Muhammad, Toufiq, Nida, Riaz, Saman, Nasir, Idrees Ahmad

    “…Potato (Solanum tuberosum L.), an important food crop in the world, is susceptible to many fungal pathogens including Alternaria solani and Fusarium oxysporum…”
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  20. 20

    Non-similar investigation of magnetized boundary layer flow of nanofluid with the effects of Joule heating, viscous dissipation and heat source/sink by Riaz, Saman, Naheed, Nitasha, Farooq, Umer, Lu, Dianchen, Hussain, Muzamil

    “…The main objective of this numerical study is to investigate the steady, incompressible and two-dimensional magnetohydrodynamic convection flow of a nanofluid…”
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