Naila Allahverdiyeva

@bhos.edu.az

Process Automation Engineering Department
Baku Higher Oil School

Naila Allahverdiyeva


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https://researchid.co/naila_allahverdiyeva

RESEARCH, TEACHING, or OTHER INTERESTS

Artificial Intelligence, Information Systems, Control and Systems Engineering, Signal Processing
7

Scopus Publications

28

Scholar Citations

2

Scholar h-index

1

Scholar i10-index

Scopus Publications

  • Evaluating Machine Learning Algorithms for Enhancing Network Intrusion Detection Systems: A Comparative Study
    Gunay Abdiyeva-Aliyeva, Naila Allakhverdiyeva, Nihad Alili, Ilkin Balazade
    Isdfs 2025 13th International Symposium on Digital Forensics and Security, 2025
    Network Intrusion Detection Systems (NIDS) play crucial role for maintaining the security of modern network infrastructures. With the increasing sophistication of cyber-attacks, traditional signature-based methods have become insufficient. Machine Learning (ML) techniques offer a promising alternative, providing the ability to detect novel threats by learning from network traffic patterns. This article provides a comparative analysis of different ML algorithms applied to NIDS, evaluating their performance based on key metrics such as accuracy, precision, recall, and Fl-score.
  • Application of Correlation Analysis in Weak Signal Detection
    Naila Allakhverdiyeva
    IFAC Papersonline, 2018
  • Application of neural network for digital recursive filter design
    Naila Allakhverdiyeva
    Application of Information and Communication Technologies Aict 2016 Conference Proceedings, 2017
    Digital Signal Processing is an advanced technology that will determine the direction of science and technology in the next centuries. One of the main direction of digital signals processing is digital filters, which in the most cases have advantages over analog filters. Currently there are various methods of filter analysis and design. In this work, for synthesis of all types of recursive filters (low pass, high pass, bandwidth, band stop) is used a neural network. The main objective of filter synthesis is to find the filter coefficients. These filter coefficients define the filter transfer function. Using an iterative procedure of the neural network such as Backpropagation algorithm, on base of Visual C++ software was developed the program, which designs recursive filters with required characteristics. This is particularly important for the designing of the new correcting filters characteristics, the purpose of which is to reduce the unwanted noises in the measurement signal.
  • Development 'Filtration' software for the digital processing of the measuring signals
    Naila Allakhverdiyeva
    9th International Conference on Application of Information and Communication Technologies Aict 2015 Proceedings, 2015
    The paper covers “Filtration” software developed by author. “Filtration” software allows the design of low-pass filters up to an 8th order filter with Chebychev, Bessel, Elliptic, Hamming, Kaiser, RMS or Butterworth responses from frequencies of 0.1 Hz to 1 MHz. “Filtration” software also can be used to design band-pass and high-pass filters with Chebychev, Bessel, Elliptic, Hamming, Kaiser, RMS or Butterworth responses. Options (specify order of filter, enter the value of signal to noise ratio) are available. Once the filter response has been identified, “Filtration” software generates the frequency response and the parameters of design filter. Software also will recalculate all values to meet the desired response, allowing real values to be substituted or changed as part of the design process. “Filtration” software allows to filtered noise on the base of the data, which corresponds to some measured signal, and to choose the desired type of digital filter, which eliminated unnecessary frequencies (noises) from input signal the best way. Software package was created by using Visual C++ environment.
  • Preprocessing of experimental seismic data
    Naila Allakhverdiyeva
    8th IEEE International Conference on Application of Information and Communication Technologies Aict 2014 Conference Proceedings, 2014
    In this work two methods of seismic data preprocessing for cleaning them from the noise are discussed. The first method is based on the method of decomposition of seismic signal. The second method is based on the spectral analysis with the use of low-pass filtering of data.
  • Using corrective filters to improve the accuracy of seismic data
    Naila Allakhverdiyeva
    2012 4th International Conference Problems of Cybernetics and Informatics PCI 2012 Proceedings, 2012
    In paper the question of increase of accuracy of seismic data processing by use of low-frequency and band-pass filters is considered. Thus the purpose of a filtration is decomposition of noisy seismic signal. For management of process of decomposition the operational information on spectral structure of signals is used.
  • Solution of inverse problem of measurements for correcting filters synthesis
    Ramiz Gumbatov, Naila Allakhverdiyeva
    Icsccw 2009 5th International Conference on Soft Computing Computing with Words and Perceptions in System Analysis Decision and Control, 2009
    In the paper the statement of inverse problem of dynamic measurements of physical quantities is given and the technique of robust correcting filters synthesis for reproduction of fixed component of the useful measuring signal reshaped on an output of a dynamic system «object plus sensor» and followed with white and colour noise is designed.

RECENT SCHOLAR PUBLICATIONS

  • Seismic Signal Processing Using Artificial Intelligence
    N Allahverdiyeva
    International Conference on Artificial Intelligence, Computer, Data Sciences … , 2026
    2026
  • AI-Driven LoRaWAN-based Frameworks for Sustainable Irrigation in Agriculture
    N Allahverdiyeva, L Muradkhanli, A Musayeva, A Nasirzade, R Hasanova
    2025 International Conference on Electrical and Computer Engineering … , 2025
    2025
  • Süni intellekt əsasında tullantıların təsnifatı
    NA Ramil Şükürov
    Azerbaijan Oil Industry 9 (DOI.10.37474/0365-8554/2025-09-32-40), 9 , 2025
    2025
  • Evaluating Machine Learning Algorithms for Enhancing Network Intrusion Detection Systems: A Comparative Study
    G Abdiyeva-Aliyeva, N Alili, I Balazade
    2025 13th International Symposium on Digital Forensics and Security (ISDFS) , 2025
    2025
    Citations: 2
  • Using convolutional filter for restoration of distorted image
    N Allahverdiyeva
    Journal of Engineering Sciences and Modern Technologies 1 (1) , 2025
    2025
  • EEG-based Mouse Cursor Control
    N Allahverdiyeva, A Fataliyev
    Technium 15 (1), 45-59 , 2023
    2023
    Citations: 1
  • Preprocessing of Seismic Data using Neural Networks
    NR Allahverdiyeva
    2022 8th International Conference on Control, Decision and Information … , 2022
    2022
  • Processing of Seismic Signals on base of AI during Oil Exploration
    R Garazade, N Allahverdiyeva
    ICONST EST’21, 192 , 2021
    2021
  • AI-Based Processing of Seismic Signals During Oil Exploration
    N Allahverdiyeva
    2021
  • Application of correlation analysis in weak signal detection
    N Allakhverdiyeva
    IFAC-PapersOnLine 51 (30), 473-476 , 2018
    2018
    Citations: 4
  • Numerical Methods in Engineering
    N Allakhverdiyeva
    2017
  • Application of neural network for digital recursive filter design
    N Allakhverdiyeva
    2016 IEEE 10th International Conference on Application of Information and … , 2016
    2016
    Citations: 17
  • Development “Filtration” software for the digital processing of the measuring signals
    N Allakhverdiyeva
    2015 9th International Conference on Application of Information and … , 2015
    2015
  • Preprocessing of experimental seismic data
    N Allakhverdiyeva
    2014 IEEE 8th International Conference on Application of Information and … , 2014
    2014
    Citations: 2
  • Разработка метода повышения точности измерительного канала
    Н Аллахвердиева
    Информационно-управляющие системы, 9 , 2014
    2014
  • Using corrective filters to improve the accuracy of seismic data
    N Allakhverdiyeva
    2012 IV International Conference" Problems of Cybernetics and Informatics … , 2012
    2012
    Citations: 1
  • Эффективный способ повышения точности результатов цифровых динамических измерений
    Н Аллахвердиева
    Azərbaycan Ali texniki məktəblərinin xəbərləri, 5 , 2012
    2012
  • Оптимальные алгоритмы преобразования измерительной информации, полученной при диагностике нефтяных скважин
    Н Аллахвердиева
    Материалы Международной научно-практической конференции «Cовременные … , 2011
    2011
  • Siqnalların rəqəmli emalı
    N Allahverdiyeva
    Bakı: Elm və təhsil, 2010, 144 s. , 2010
    2010
  • Повышение точности преобразования и цифровой обработки электрических сигналов
    Н Аллахвердиева, А Мехтиева
    Информационно-измерительные и управляющие системы 8 (№09), 6 , 2010
    2010
    Citations: 1

MOST CITED SCHOLAR PUBLICATIONS

  • Application of neural network for digital recursive filter design
    N Allakhverdiyeva
    2016 IEEE 10th International Conference on Application of Information and … , 2016
    2016
    Citations: 17
  • Application of correlation analysis in weak signal detection
    N Allakhverdiyeva
    IFAC-PapersOnLine 51 (30), 473-476 , 2018
    2018
    Citations: 4
  • Evaluating Machine Learning Algorithms for Enhancing Network Intrusion Detection Systems: A Comparative Study
    G Abdiyeva-Aliyeva, N Alili, I Balazade
    2025 13th International Symposium on Digital Forensics and Security (ISDFS) , 2025
    2025
    Citations: 2
  • Preprocessing of experimental seismic data
    N Allakhverdiyeva
    2014 IEEE 8th International Conference on Application of Information and … , 2014
    2014
    Citations: 2
  • EEG-based Mouse Cursor Control
    N Allahverdiyeva, A Fataliyev
    Technium 15 (1), 45-59 , 2023
    2023
    Citations: 1
  • Using corrective filters to improve the accuracy of seismic data
    N Allakhverdiyeva
    2012 IV International Conference" Problems of Cybernetics and Informatics … , 2012
    2012
    Citations: 1
  • Повышение точности преобразования и цифровой обработки электрических сигналов
    Н Аллахвердиева, А Мехтиева
    Информационно-измерительные и управляющие системы 8 (№09), 6 , 2010
    2010
    Citations: 1
  • Seismic Signal Processing Using Artificial Intelligence
    N Allahverdiyeva
    International Conference on Artificial Intelligence, Computer, Data Sciences … , 2026
    2026
  • AI-Driven LoRaWAN-based Frameworks for Sustainable Irrigation in Agriculture
    N Allahverdiyeva, L Muradkhanli, A Musayeva, A Nasirzade, R Hasanova
    2025 International Conference on Electrical and Computer Engineering … , 2025
    2025
  • Süni intellekt əsasında tullantıların təsnifatı
    NA Ramil Şükürov
    Azerbaijan Oil Industry 9 (DOI.10.37474/0365-8554/2025-09-32-40), 9 , 2025
    2025
  • Using convolutional filter for restoration of distorted image
    N Allahverdiyeva
    Journal of Engineering Sciences and Modern Technologies 1 (1) , 2025
    2025
  • Preprocessing of Seismic Data using Neural Networks
    NR Allahverdiyeva
    2022 8th International Conference on Control, Decision and Information … , 2022
    2022
  • Processing of Seismic Signals on base of AI during Oil Exploration
    R Garazade, N Allahverdiyeva
    ICONST EST’21, 192 , 2021
    2021
  • AI-Based Processing of Seismic Signals During Oil Exploration
    N Allahverdiyeva
    2021
  • Numerical Methods in Engineering
    N Allakhverdiyeva
    2017
  • Development “Filtration” software for the digital processing of the measuring signals
    N Allakhverdiyeva
    2015 9th International Conference on Application of Information and … , 2015
    2015
  • Разработка метода повышения точности измерительного канала
    Н Аллахвердиева
    Информационно-управляющие системы, 9 , 2014
    2014
  • Эффективный способ повышения точности результатов цифровых динамических измерений
    Н Аллахвердиева
    Azərbaycan Ali texniki məktəblərinin xəbərləri, 5 , 2012
    2012
  • Оптимальные алгоритмы преобразования измерительной информации, полученной при диагностике нефтяных скважин
    Н Аллахвердиева
    Материалы Международной научно-практической конференции «Cовременные … , 2011
    2011
  • Siqnalların rəqəmli emalı
    N Allahverdiyeva
    Bakı: Elm və təhsil, 2010, 144 s. , 2010
    2010