Search Results - "Raza, Aamir"

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  1. 1

    Enhancing performance in the presence of outliers with redescending M-estimators by Raza, Aamir, Talib, Mashal, Noor-ul-Amin, Muhammad, Gunaime, Nevine, Boukhris, Imed, Nabi, Muhammad

    Published in Scientific reports (12-06-2024)
    “…In real-life situations, we have to analyze the data that contains the atypical observations, and the presence of outliers has adverse effects on the…”
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  2. 2

    Memory type Bayesian adaptive max-EWMA control chart for weibull processes by A. Zaagan, Abdullah, Khan, Imad, Ayari-Akkari, Amel, Raza, Aamir, Ahmad, Bakhtiyar

    Published in Scientific reports (18-04-2024)
    “…The simultaneous monitoring of both the process mean and dispersion has gained considerable attention in statistical process control, especially when the…”
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  3. 3

    A redescending M-estimator approach for outlier-resilient modeling by Raza, Aamir, Noor-ul-Amin, Muhammad, Ayari-Akkari, Amel, Nabi, Muhammad, Usman Aslam, Muhammad

    Published in Scientific reports (26-03-2024)
    “…The OLS model is built on the assumption of normality in the distribution of error terms. However, this assumption can be easily violated, especially when…”
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  4. 4

    Risk-Averse Home Energy Management System by Ali, Saqib, Malik, Tahir Nadeem, Raza, Aamir

    Published in IEEE access (2020)
    “…Transformation of conventional energy systems into smart grids enables the integration of residential buildings with distributed generations, electro-thermal…”
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  5. 5

    Monotonic classification extreme learning machine by Zhu, Hong, Tsang, Eric C.C., Wang, Xi-Zhao, Aamir Raza Ashfaq, Rana

    Published in Neurocomputing (Amsterdam) (15-02-2017)
    “…Monotonic classification problems mean that both feature values and class labels are ordered and monotonicity relationships exist between some features and the…”
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  6. 6

    Uncertainty based optimal sample selection for big data by Ajmal, S., Ashfaq, R.A.R.

    Published in IEEE access (01-01-2023)
    “…Instance selection (IS) is a primary data reduction technique in knowledge discovery in databases (KDD) that maximizes the performance (or generalization…”
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  7. 7

    Multiclass Non-Randomized Spectral–Spatial Active Learning for Hyperspectral Image Classification by Ahmad, Muhammad, Mazzara, Manuel, Raza, Rana Aamir, Distefano, Salvatore, Asif, Muhammad, Sarfraz, Muhammad Shahzad, Khan, Adil Mehmood, Sohaib, Ahmed

    Published in Applied sciences (01-07-2020)
    “…Active Learning (AL) for Hyperspectral Image Classification (HSIC) has been extensively studied. However, the traditional AL methods do not consider randomness…”
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  8. 8

    Energy management in residential buildings using energy hub approach by Raza, Aamir, Malik, Tahir Nadeem, Khan, Muhammad Faisal Nadeem, Ali, Saqib

    Published in Building simulation (01-04-2020)
    “…Building-owned micro energy hubs (EHs) usually focus on optimal energy consumption cost and emission, whereas, macro energy hubs (MEHs) mainly concentrate on…”
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  9. 9

    Extreme learning machine with fuzzy input and fuzzy output for fuzzy regression by Liu, Hai-tao, Wang, Jing, He, Yu-lin, Ashfaq, Rana Aamir Raza

    Published in Neural computing & applications (01-11-2017)
    “…It is practically and theoretically significant to approximate and simulate a system with fuzzy inputs and fuzzy outputs. This paper proposes a extreme…”
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  10. 10

    Hydrothermal Liquefaction of Lignocellulosic and Protein-Containing Biomass: A Comprehensive Review by Abdul Sattar Jatoi, Ayaz Ali Shah, Jawad Ahmed, Shamimur Rehman, Syed Hasseb Sultan, Abdul Karim Shah, Aamir Raza, Nabisab Mujawar Mubarak, Zubair Hashmi, Muhammad Azam Usto, Muhammad Murtaza

    Published in Catalysts (01-12-2022)
    “…Hydrothermal liquefaction (HTL) is a thermochemical depolymerization technology, also known as hydrous pyrolysis, that transforms wet biomass into biocrude and…”
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  11. 11

    Kleptographic Attack on Elliptic Curve Based Cryptographic Protocols by Sajjad, Anum, Afzal, Mehreen, Iqbal, Waseem, Abbas, Haider, Latif, Rabia, Raza, Rana Aamir

    Published in IEEE access (01-01-2020)
    “…Kleptography is the study of pilfering secure data secretly and subliminally. The concept of inserting backdoors was introduced two decades ago by Young and…”
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  12. 12

    Design of γ-Alumina-Supported Phosphotungstic Acid-Palladium Bifunctional Catalyst for Catalytic Liquid-Phase Citral Hydrogenation by Abdul Karim Shah, Syed Nizam-uddin Shah Bukhari, Ayaz Ali Shah, Abdul Sattar Jatoi, Muhammad Azam Usto, Zubair Hashmi, Ghulam Taswar Shah, Yeung Ho Park, Moo-Seok Choi, Arshad Iqbal, Tahir Hussain Seehar, Aamir Raza

    Published in Catalysts (01-09-2022)
    “…This study primarily addresses the development of dynamic, selective and economical metal–acid (bifunctional) catalysts for one-pot menthol production by…”
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  13. 13

    Further improvements on extreme learning machine for interval neural network by Yang, Li-fen, Liu, Chong, Long, Hao, Ashfaq, Rana Aamir Raza, He, Yu-lin

    Published in Neural computing & applications (01-04-2018)
    “…The interval extreme learning machine (IELM) (Yang et al. in Neural Comput Appl 27(1):3–8, 2016 ) is a newly proposed regression algorithm to deal with the…”
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  14. 14

    Comments on “Local coupled extreme learning machine” by Yu, Wan-guo, Zhou, Xu, He, Yu-lin, Ashfaq, Rana Aamir Raza

    Published in Neural computing & applications (01-03-2017)
    “…Local coupled extreme learning machine (LCELM) (Qu in Neural Comput Appl 27(1):27–33, 2016 ) is a recently developed variant of ELM and uses the paradigm of…”
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  15. 15

    Robust Design Optimization of Dual Thrust Solid Propellant Motors due to Burning Rate Uncertainties by AamirRaza, Muhammad, Liang, Wang

    Published in Propellants, explosives, pyrotechnics (01-08-2012)
    “…Solid rocket motor design becomes a clamant task where fusion of design and non‐design parameters may lead to various design configurations, especially under…”
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  16. 16

    Random weight network-based fuzzy nonlinear regression for trapezoidal fuzzy number data by He, Yu-Lin, Wei, Cheng-Hao, Long, Hao, Raza Ashfaq, Rana Aamir, Huang, Joshua Zhexue

    Published in Applied soft computing (01-09-2018)
    “…[Display omitted] •Using random weight network to design a fuzzy nonlinear regression model for handling fuzzy-in fuzzy-out data.•Deriving the new updating…”
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  17. 17

    An Effective Weighted Hybrid Regularizing Approach for Image Noise Reduction by Islam, Md. Robiul, Xu, Chen, Raza, Rana Aamir, Han, Yu

    Published in Circuits, systems, and signal processing (01-01-2019)
    “…Digital images are mostly noised due to transmission and capturing disturbances. Hence, denoising becomes a notable issue because of the necessity of removing…”
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  18. 18

    Comparative study of natural and modified biomass of Sargassum sp. for removal of Cd2+ and Zn2+ from wastewater by Mahmood, Zahid, Zahra, Samreen, Iqbal, Muhammad, Raza, Muhammad Aamir, Nasir, Saqib

    Published in Applied water science (01-11-2017)
    “…Natural as well as acid modified dead biomass of brown marine alga Sargassum sp. was employed for the elimination of cadmium and zinc ions from synthetic…”
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  19. 19

    Zwitterionic Surfactant Modified Carbon Nanotubes Incorporated Percolative Polymer Composites with Improved Features by Bashir, Farrukh, Hussain, Tajamal, Mujahid, Adnan, Mushtaq, Ayesha, Raza, Muhammad Aamir, Ahmad, Mirza Nadeem, Zahid, Muhammad, Din, Muhammad Imran, Tareen, Huma

    Published in Nano biomedicine and engineering (01-06-2023)
    “…Modification of carbon nanotubes (CNTs) and their incoporation in polymer matrix have attracted much attention of researchers. As maximum dispersion of CNTs…”
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  20. 20

    Fuzziness based semi-supervised learning approach for intrusion detection system by Ashfaq, Rana Aamir Raza, Wang, Xi-Zhao, Huang, Joshua Zhexue, Abbas, Haider, He, Yu-Lin

    Published in Information sciences (01-02-2017)
    “…Countering cyber threats, especially attack detection, is a challenging area of research in the field of information assurance. Intruders use polymorphic…”
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