Updated: As of quarter 4, December 2024
Dr. Noureen Talpur is a dedicated lecturer with a robust research background spanning diverse areas, including artificial intelligence, machine learning, deep learning, data mining, data science, optimization, metaheuristics, fuzzy logic, and neural networks. She has a proven track record of publishing high-quality research in reputable international journals and conferences. Dr. Noureen is well-versed in machine learning algorithms, Python, data visualization, and MATLAB, showcasing her expertise in both theoretical and practical aspects of these fields. She is passionate about leveraging her research abilities to develop innovative solutions for real-world challenges in artificial intelligence and data science, with a particular focus on big data.
Talpur, N. and Abdulkadir, S.J. and Alhussian, H. and Hasan, M.H. and Aziz, N. and Bamhdi, A.
(2023)
Deep Neuro-Fuzzy System application trends, challenges, and future perspectives: a systematic survey.
Artificial Intelligence Review, 56 (2).
pp. 865-913.
Abdullah, M.H.A. and Aziz, N. and Abdulkadir, S.J. and Akhir, E.A.P. and Talpur, N.
(2023)
Event Detection and Information Extraction Strategies from Text: A Preliminary Study Using GENIA Corpus.
Lecture Notes in Networks and Systems, 573 LN.
pp. 118-127.
Talpur, N. and Abdulkadir, S.J. and Hasan, M.H. and Alhussian, H. and Alwadain, A.
(2023)
A Novel Wrapper-Based Optimization Algorithm for the Feature Selection and Classification.
Computers, Materials and Continua, 74 (3).
pp. 5799-5820.
ISSN 15462218
Abdullah, M.H.A. and Aziz, N. and Abdulkadir, S.J. and Alhussian, H.S.A. and Talpur, N.
(2023)
Systematic Literature Review of Information Extraction From Textual Data: Recent Methods, Applications, Trends, and Challenges.
IEEE Access, 11.
pp. 10535-10562.
ISSN 21693536
Talpur, N. and Jadid Abdulkadir, S. and Akashah Patah Akhir, E. and Hilmi Hasan, M. and Alhussian, H. and Hafizul Afifi Abdullah, M.
(2023)
A novel bitwise arithmetic optimization algorithm for the rule base optimization of deep neuro-fuzzy system.
Journal of King Saud University - Computer and Information Sciences, 35 (2).
pp. 821-842.
Talpur, N. and Abdulkadir, S.J. and Alhussian, H. and Hasan, M.H. and Abdullah, M.H.A.
(2022)
Optimizing deep neuro-fuzzy classifier with a novel evolutionary arithmetic optimization algorithm.
Journal of Computational Science, 64.
ISSN 18777503
Talpur, N. and Abdulkadir, S.J. and Alhussian, H. and Hasan, M.H. and Aziz, N. and Bamhdi, A.
(2022)
A comprehensive review of deep neuro-fuzzy system architectures and their optimization methods.
Neural Computing and Applications, 34 (3).
pp. 1837-1875.
ISSN 09410643
Al-Wajih, R. and Abdulkadir, S.J. and Aziz, N. and Al-Tashi, Q. and Talpur, N.
(2021)
Hybrid binary grey Wolf with Harris hawks optimizer for feature selection.
IEEE Access, 9.
pp. 31662-31677.
ISSN 21693536
Hussain, K. and Zhu, W. and Salleh, M.N.M. and Ali, H. and Talpur, N. and Naseem, R. and Ahmad, A. and Ullah, A.
(2020)
Enhanced Bat Algorithm for Solving Non-Convex Economic Dispatch Problem.
Advances in Intelligent Systems and Computing, 978 AI.
pp. 419-428.
ISSN 21945357
Talpur, N. and Abdulkadir, S.J. and Hasan, M.H.
(2020)
A deep learning based neuro-fuzzy approach for solving classification problems.
In: UNSPECIFIED.