Mumtaz Ali
Orcid: 0000-0002-6975-5159
According to our database1,
Mumtaz Ali
authored at least 72 papers
between 2014 and 2024.
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Bibliography
2024
Monthly sodium adsorption ratio forecasting in rivers using a dual interpretable glass-box complementary intelligent system: Hybridization of ensemble TVF-EMD-VMD, Boruta-SHAP, and eXplainable GPR.
Expert Syst. Appl., March, 2024
Accurate monitoring of micronutrients in tilled potato soils of eastern Canada: Application of an eXplainable inspired-adaptive boosting framework coupled with SelectKbest.
Comput. Electron. Agric., January, 2024
Efficient context-aware computing: a systematic model for dynamic working memory updates in context-aware computing.
PeerJ Comput. Sci., 2024
Advanced optical transceiver and switching solutions for next-generation optical networks.
J. Opt. Commun. Netw., 2024
Robust drought forecasting in Eastern Canada: Leveraging EMD-TVF and ensemble deep RVFL for SPEI index forecasting.
Expert Syst. Appl., 2024
Quantitative improvement of streamflow forecasting accuracy in the Atlantic zones of Canada based on hydro-meteorological signals: A multi-level advanced intelligent expert framework.
Ecol. Informatics, 2024
Hybridized artificial intelligence models with nature-inspired algorithms for river flow modeling: A comprehensive review, assessment, and possible future research directions.
Eng. Appl. Artif. Intell., 2024
Short-term drought Index forecasting for hot and semi-humid climate Regions: A novel empirical Fourier decomposition-based ensemble Deep-Random vector functional link strategy.
Comput. Electron. Agric., 2024
Empirical curvelet transform based deep DenseNet model to predict NDVI using RGB drone imagery data.
Comput. Electron. Agric., 2024
Electro-Assisted Optical Method of Chirp Compensation for Bandwidth/Bitrate Variable Transceivers Using the Hammerstein-Wiener System.
IEEE Access, 2024
A Resource Aware Memory Requirement Calculation Model for Memory Constrained Context-Aware Systems.
IEEE Access, 2024
Proceedings of the 24th International Conference on Transparent Optical Networks, 2024
Non Intrusive Optical Performance Monitoring in Fiber Optic Networks Using Coherent Receivers as Spectrum Analyzers.
Proceedings of the 24th International Conference on Transparent Optical Networks, 2024
Extending Scratch Framework to Improve the Analytical Skills of Undergraduate Students.
Proceedings of the 2024 10th International Conference on Computer Technology Applications, 2024
2023
Correction to: A study of plithogenic graphs: applications in spreading coronavirus disease (COVID-19) globally.
J. Ambient Intell. Humaniz. Comput., October, 2023
A study of plithogenic graphs: applications in spreading coronavirus disease (COVID-19) globally.
J. Ambient Intell. Humaniz. Comput., October, 2023
A novel global solar exposure forecasting model based on air temperature: Designing a new multi-processing ensemble deep learning paradigm.
Expert Syst. Appl., July, 2023
Design data decomposition-based reference evapotranspiration forecasting model: A soft feature filter based deep learning driven approach.
Eng. Appl. Artif. Intell., May, 2023
A high dimensional features-based cascaded forward neural network coupled with MVMD and Boruta-GBDT for multi-step ahead forecasting of surface soil moisture.
Eng. Appl. Artif. Intell., April, 2023
An intelligent model involving multi-channels spectrum patterns based features for automatic sleep stage classification.
Int. J. Medical Informatics, March, 2023
Developing a novel hybrid method based on dispersion entropy and adaptive boosting algorithm for human activity recognition.
Comput. Methods Programs Biomed., February, 2023
The Multiband over Spatial Division Multiplexing Sliceable Transceiver for Future Optical Networks.
Future Internet, 2023
2022
Kernel Ridge Regression Hybrid Method for Wheat Yield Prediction with Satellite-Derived Predictors.
Remote. Sens., 2022
Forecasting weekly reference evapotranspiration using Auto Encoder Decoder Bidirectional LSTM model hybridized with a Boruta-CatBoost input optimizer.
Comput. Electron. Agric., 2022
GI Tract Lesion Classification Using Multi-task Capsule Networks with Hierarchical Convolutional Layers.
Proceedings of the Biometric Recognition - 16th Chinese Conference, 2022
2021
Gender and age detection assist convolutional neural networks in classification of thorax diseases.
PeerJ Comput. Sci., 2021
Neurocomputing, 2021
Proceedings of the Context-Aware Systems and Applications, 2021
2020
J. Supercomput., 2020
The Generalized Neutrosophic Cubic Aggregation Operators and Their Application to Multi-Expert Decision-Making Method.
Symmetry, 2020
Feature selection strategy based on hybrid crow search optimization algorithm integrated with chaos theory and fuzzy c-means algorithm for medical diagnosis problems.
Soft Comput., 2020
A New Representation of Intuitionistic Fuzzy Systems and Their Applications in Critical Decision Making.
IEEE Intell. Syst., 2020
Comput. Ind. Eng., 2020
Representing complex intuitionistic fuzzy set by quaternion numbers and applications to decision making.
Appl. Soft Comput., 2020
2019
Algebraic Structures of Neutrosophic Triplets, Neutrosophic Duplets, or Neutrosophic Multisets.
Symmetry, 2019
An intuitionistic fuzzy clustering algorithm based on a new correlation coefficient with application in medical diagnosis.
J. Intell. Fuzzy Syst., 2019
A new multi-criteria decision making algorithm for medical diagnosis and classification problems using divergence measure of picture fuzzy sets.
J. Intell. Fuzzy Syst., 2019
Evol. Syst., 2019
Dynamic interval valued neutrosophic set: Modeling decision making in dynamic environments.
Comput. Ind., 2019
Comput. Ind. Eng., 2019
Novel Neutrosophic Cubic Graphs Structures With Application in Decision Making Problems.
IEEE Access, 2019
IEEE Access, 2019
IEEE Access, 2019
Proceedings of the Intelligent Technologies and Applications, 2019
Proceedings of the 2019 IEEE International Geoscience and Remote Sensing Symposium, 2019
Proceedings of the 2nd International Conference on Advancements in Computational Sciences, 2019
2018
Symmetry, 2018
J. Circuits Syst. Comput., 2018
Int. J. Fuzzy Syst., 2018
Segmentation of dental X-ray images in medical imaging using neutrosophic orthogonal matrices.
Expert Syst. Appl., 2018
Multi-stage committee based extreme learning machine model incorporating the influence of climate parameters and seasonality on drought forecasting.
Comput. Electron. Agric., 2018
Appl. Soft Comput., 2018
A neutrosophic recommender system for medical diagnosis based on algebraic neutrosophic measures.
Appl. Soft Comput., 2018
δ-equality of intuitionistic fuzzy sets: a new proximity measure and applications in medical diagnosis.
Appl. Intell., 2018
Appl. Intell., 2018
2017
J. Intell. Fuzzy Syst., 2017
A Novel Clustering Algorithm in a Neutrosophic Recommender System for Medical Diagnosis.
Cogn. Comput., 2017
Biomed. Signal Process. Control., 2017
Neutrosophic recommender system for medical diagnosis based on algebraic similarity measure and clustering.
Proceedings of the 2017 IEEE International Conference on Fuzzy Systems, 2017
2016
J. Intell. Fuzzy Syst., 2016
A Neutrosophic Recommender System for Medical Diagnosis Based on Algebraic Neutrosophic Measures.
CoRR, 2016
Proceedings of the 2016 IEEE International Conference on Fuzzy Systems, 2016
Proceedings of the 2016 IEEE International Conference on Fuzzy Systems, 2016
Proceedings of the 2016 IEEE International Conference on Fuzzy Systems, 2016
2015
Time and frequency synchronisation in all-optical orthogonal frequency division multiplexing systems.
IET Commun., 2015
Proceedings of the 10th International Conference on Intelligent Systems and Knowledge Engineering, 2015
2014
Performance evaluation of superchannels using all-optical M-QAM OFDM and coherent receiver in the presence of time and frequency offsets.
Proceedings of the 9th International Conference on Communications and Networking in China, 2014