Aitazaz Ahsan Farooque
Orcid: 0000-0002-5353-6752
According to our database1,
Aitazaz Ahsan Farooque authored at least 42 papers
between 2020 and 2026.
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Bibliography
2026
Common TF-IDF variants arise as key components in the test statistic of a penalized likelihood-ratio test for word burstiness.
CoRR, April, 2026
Drone-based RGB to thermal image translation: a novel approach for non-destructive crop monitoring.
Expert Syst. Appl., 2026
A reliable deep ensemble hybrid model for urban air quality health index forecasting in maritime Canada.
Environ. Model. Softw., 2026
Predicting reference evapotranspiration using the weighted instance handler wrapper algorithm.
Ecol. Informatics, 2026
Potato crop disease prediction in Prince Edward Island using machine learning: A decision support approach for farmers.
Ecol. Informatics, 2026
A robust artificial intelligence informed over complete rational dilation wavelet transform technique coupled with deep learning for long-term rainfall prediction.
Eng. Appl. Artif. Intell., 2026
Design, development, and field evaluation of a dual-mode robotic-human system for in situ soil compaction assessment in agricultural fields.
Comput. Electron. Agric., 2026
Deep learning driven edge inference for pest detection in potato crops using the AgriScout robot.
Comput. Electron. Agric., 2026
Advancing sustainable agriculture in Atlantic Canada through HYDRA-SE: A hybrid decision and regression stacked ensemble for yield prediction.
Adv. Eng. Informatics, 2026
2025
CoRR, July, 2025
Enhancing Pan evaporation predictions: Accuracy and uncertainty in hybrid machine learning models.
Ecol. Informatics, 2025
Advancing long-term precipitation pattern forecasting in Atlantic Canada using successive variational mode decomposition, recursive LSTM, and graph-based feature selection.
Ecol. Informatics, 2025
Remote sensing-based spatiotemporal dynamics of agricultural drought on Prince Edward Island using Google Earth engine.
Ecol. Informatics, 2025
Assessment of pan coefficient performance: A comparative study of empirical and model-driven approaches using a hill-climbing-based alternating model tree and MOORA.
Ecol. Informatics, 2025
Improving daily reference evapotranspiration forecasts: Designing AI-enabled recurrent neural networks based long short-term memory.
Ecol. Informatics, 2025
Comput. Electron. Agric., 2025
Meticulous estimation of maize actual evapotranspiration: A comprehensive explainable CatBoost algorithm reinforced with Jackknife uncertainty paradigm.
Comput. Electron. Agric., 2025
eXplainable expert systems for potato tuber yield prediction in the Maritime provinces of Canada.
Comput. Electron. Agric., 2025
Optimizing potato yield mapping and prediction: Integrating satellite-based remote sensing and machine learning for sustainable agriculture.
Comput. Electron. Agric., 2025
An efficient mathematical-based optimization method to optimize multi-hydropower operating rules.
Appl. Soft Comput., 2025
2024
Remote. Sens., April, 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
Exploiting 2D Neural Network Frameworks for 3D Segmentation Through Depth Map Analytics of Harvested Wild Blueberries (Vaccinium angustifolium Ait.).
J. Imaging, 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
Empirical curvelet transform based deep DenseNet model to predict NDVI using RGB drone imagery data.
Comput. Electron. Agric., 2024
Artificial Intelligence Driven Smart Farming for Accurate Detection of Potato Diseases: A Systematic Review.
IEEE Access, 2024
2023
Design data decomposition-based reference evapotranspiration forecasting model: A soft feature filter based deep learning driven approach.
Eng. Appl. Artif. Intell., May, 2023
Designing pentapartitioned neutrosophic cubic set aggregation operator-based air pollution decision-making model.
Complex Intell. Syst., 2023
2022
Comparison of Land Use Land Cover Classifiers Using Different Satellite Imagery and Machine Learning Techniques.
Remote. Sens., 2022
Limiting the Collection of Ground Truth Data for Land Use and Land Cover Maps with Machine Learning Algorithms.
ISPRS Int. J. Geo Inf., 2022
Integration of Multiple Models with Hybrid Artificial Neural Network-Genetic Algorithm for Soil Cation-Exchange Capacity Prediction.
Complex., 2022
2021
Hair Fescue and Sheep Sorrel Identification Using Deep Learning in Wild Blueberry Production.
Remote. Sens., 2021
Remote. Sens., 2021
Estimation of Agricultural Dykelands Cultivated in Nova Scotia Using Land Property Boundaries and Crop Inventory.
ISPRS Int. J. Geo Inf., 2021
Application of deep learning to detect Lamb's quarters (<i>Chenopodium album</i> L.) in potato fields of Atlantic Canada.
Comput. Electron. Agric., 2021
Total Dissolved Salt Prediction Using Neurocomputing Models: Case Study of Gypsum Soil Within Iraq Region.
IEEE Access, 2021
Proposition of New Ensemble Data-Intelligence Models for Surface Water Quality Prediction.
IEEE Access, 2021
2020
Remote. Sens., 2020
Comput. Electron. Agric., 2020