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Computer Science

D-Index
45
Citations
6128
World Ranking
7321
National Ranking
232

Overview

Mumtaz Ali is affiliated with the University of Southern Queensland in Australia. Their research primarily focuses on environmental science with a strong emphasis on hydrological forecasting and related areas.

The scientist's work spans multiple subfields, including:

  • Environmental Engineering
  • Global and Planetary Change
  • Electrical and Electronic Engineering
  • Artificial Intelligence
  • Water Science and Technology

The main topics of their research include:

  • Hydrological Forecasting Using AI
  • Energy Load and Power Forecasting
  • Solar Radiation and Photovoltaics
  • Hydrology and Drought Analysis
  • Hydrology and Watershed Management Studies
  • Climate Variability and Models
  • Plant Water Relations and Carbon Dynamics

Mumtaz Ali has contributed to several publications. Notable recent papers with the full title, year, and venue include:

  • Complete ensemble empirical mode decomposition hybridized with random forest and kernel ridge regression model for monthly rainfall forecasts, 2020, Journal of Hydrology
  • Near real-time significant wave height forecasting with hybridized multiple linear regression algorithms, 2020, Renewable and Sustainable Energy Reviews

Frequent co-authors in their collaborative work are:

  • Zaher Mundher Yaseen
  • Mehdi Jamei
  • Aitazaz A. Farooque
  • Masoud Karbasi
  • Ravinesh C. Deo

Common venues for Mumtaz Ali's publications include:

  • Pakistan Journal Of Neurological Surgery
  • Scientific Reports
  • Journal of Hydrology
  • Water
  • Computers and Electronics in Agriculture

Best Publications

  • Bipolar neutrosophic sets and their application based on multi-criteria decision making problems

    Irfan Deli;Mumtaz Ali;Florentin Smarandache

  • Complex neutrosophic set

    Mumtaz Ali;Florentin Smarandache

  • Significant wave height forecasting via an extreme learning machine model integrated with improved complete ensemble empirical mode decomposition

    Mumtaz Ali;Ramendra Prasad;Ramendra Prasad

  • Designing a multi-stage multivariate empirical mode decomposition coupled with ant colony optimization and random forest model to forecast monthly solar radiation

    Ramendra Prasad;Ramendra Prasad;Mumtaz Ali;Paul Kwan;Huma Khan

  • Complete ensemble empirical mode decomposition hybridized with random forest and kernel ridge regression model for monthly rainfall forecasts

    Mumtaz Ali;Ramendra Prasad;Yong Xiang;Zaher Mundher Yaseen

  • Feature selection strategy based on hybrid crow search optimization algorithm integrated with chaos theory and fuzzy c-means algorithm for medical diagnosis problems

    Ahmed M. Anter;Ahmed M. Anter;Mumtaz Ali

  • H-max distance measure of intuitionistic fuzzy sets in decision making

    Roan Thi Ngan;Roan Thi Ngan;Le Hoang Son;Le Hoang Son;Bui Cong Cuong;Mumtaz Ali

  • The theory of neutrosophic cubic sets and their applications in pattern recognition

    Mumtaz Ali;Irfan Deli;Florentin Smarandache

  • Neutrosophic triplet group

    Florentin Smarandache;Mumtaz Ali

  • Link prediction in co-authorship networks based on hybrid content similarity metric

    Pham Minh Chuan;Pham Minh Chuan;Le Hoang Son;Mumtaz Ali;Tran Dinh Khang

  • A New Representation of Intuitionistic Fuzzy Systems and Their Applications in Critical Decision Making

    Le Hoang Son;Roan Thi Ngan;Mumtaz Ali;Hamido Fujita

  • Forecasting standardized precipitation index using data intelligence models: regional investigation of Bangladesh

    Zaher Mundher Yaseen;Mumtaz Ali;Ahmad Sharafati;Nadhir Al-Ansari

  • River suspended sediment load prediction based on river discharge information: application of newly developed data mining models

    Sinan Q. Salih;Ahmad Sharafati;Khabat Khosravi;Hossam Faris

  • Bipolar neutrosophic soft sets and applications in decision making

    Mumtaz Ali;Le Hoang Son;Irfan Deli;Nguyen Dang Tien

  • Segmentation of dental X-ray images in medical imaging using neutrosophic orthogonal matrices

    Mumtaz Ali;Le Hoang Son;Mohsin Khan;Nguyen Thanh Tung

  • Improving SPI-derived drought forecasts incorporating synoptic-scale climate indices in multi-phase multivariate empirical mode decomposition model hybridized with simulated annealing and kernel ridge regression algorithms

    Mumtaz Ali;Ravinesh C. Deo;Tek Maraseni;Nathan J. Downs

  • Near real-time significant wave height forecasting with hybridized multiple linear regression algorithms

    Mumtaz Ali;Ramendra Prasad;Yong Xiang;Ravinesh C. Deo

  • Prediction of evaporation in arid and semi-arid regions : a comparative study using different machine learning models

    Zaher Mundher Yaseen;Anas Mahmood Al-Juboori;Ufuk Beyaztas;Nadhir Al-Ansari

  • Shortest Path Problem under Bipolar Neutrosphic Setting

    Said Broumi;Assia Bakali;Mohamed Talea;Florentin Smarandache

  • A novel clustering algorithm in a neutrosophic recommender system for medical diagnosis

    Nguyen Dang Thanh;Mumtaz Ali;Le Hoang Son;Le Hoang Son

  • A neutrosophic recommender system for medical diagnosis based on algebraic neutrosophic measures

    Mumtaz Ali;Le Hoang Son;Nguyen Dang Thanh;Nguyen Van Minh Minh

Frequent Co-Authors

Florentin Smarandache
Florentin Smarandache University of New Mexico
Le Hoang Son
Le Hoang Son Vietnam National University, Hanoi
Ravinesh C. Deo
Ravinesh C. Deo University of Southern Queensland
Zaher Mundher Yaseen
Zaher Mundher Yaseen King Fahd University of Petroleum and Minerals
Yong Xiang
Yong Xiang Deakin University
Said Broumi
Said Broumi University of Hassan II Casablanca
Tek Narayan Maraseni
Tek Narayan Maraseni University of Southern Queensland
Nadhir Al-Ansari
Nadhir Al-Ansari Luleå University of Technology
Shamsuddin Shahid
Shamsuddin Shahid University of Technology Malaysia
Mohamed Abdel-Basset
Mohamed Abdel-Basset Zagazig University

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