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[1]
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Winter wheat yield prediction using linear and nonlinear machine learning algorithms based on climatological and remote sensing data
Information Processing in Agriculture,
2025
DOI:10.1016/j.inpa.2025.02.004
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[2]
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Quantum Computing Approach to Smart Grid Stability Forecasting
2024 12th International Conference on Smart Grid (icSmartGrid),
2024
DOI:10.1109/icSmartGrid61824.2024.10578114
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[3]
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Application of Quantum Neural Network for Solar Irradiance Forecasting: A Case Study Using the Folsom Dataset, California
Energies,
2024
DOI:10.3390/en17143580
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[4]
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Quantum Support Vector Machine for Classifying Noisy Data
IEEE Transactions on Computers,
2024
DOI:10.1109/TC.2024.3416619
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[5]
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Benchmarking of quantum fidelity kernels for Gaussian process regression
Machine Learning: Science and Technology,
2024
DOI:10.1088/2632-2153/ad7cc1
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[6]
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Next Generation Power System Planning and Operation With Quantum Computation
IEEE Access,
2024
DOI:10.1109/ACCESS.2024.3509743
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[7]
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The Rise of Quantum Computing in Industry 6.0 Towards Sustainability
Advances in Science, Technology & Innovation,
2024
DOI:10.1007/978-3-031-73350-5_11
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[8]
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Estimation and analysis of missing temperature data in high altitude and snow-dominated regions using various machine learning methods
Environmental Monitoring and Assessment,
2023
DOI:10.1007/s10661-023-11143-7
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[9]
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Estimation and analysis of missing temperature data in high altitude and snow-dominated regions using various machine learning methods
Environmental Monitoring and Assessment,
2023
DOI:10.1007/s10661-023-11143-7
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[10]
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Real-time Solar Array Data Acquisition and Fault Detection using Neural Networks
2023 IEEE 6th International Conference on Industrial Cyber-Physical Systems (ICPS),
2023
DOI:10.1109/ICPS58381.2023.10128030
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[11]
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MAQML: a Meta-approach to Quantum Machine Learning with Accentuated Sample Variations for Unobtrusive Mental Health Monitoring
Quantum Machine Intelligence,
2023
DOI:10.1007/s42484-023-00108-1
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[12]
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Forecasting solar irradiance with hybrid classical–quantum models: A comprehensive evaluation of deep learning and quantum-enhanced techniques
Energy Conversion and Management,
2023
DOI:10.1016/j.enconman.2023.117555
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[13]
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Grid Search based Optimum Feature Selection by Tuning hyperparameters for Heart Disease Diagnosis in Machine learning
The Open Biomedical Engineering Journal,
2023
DOI:10.2174/18741207-v17-e230510-2022-HT28-4371-8
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[14]
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Forecasting solar irradiance with hybrid classical–quantum models: A comprehensive evaluation of deep learning and quantum-enhanced techniques
Energy Conversion and Management,
2023
DOI:10.1016/j.enconman.2023.117555
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[15]
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Quantum machine learning for chemistry and physics
Chemical Society Reviews,
2022
DOI:10.1039/D2CS00203E
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[16]
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Quantum computing for smart grid applications
IET Generation, Transmission & Distribution,
2022
DOI:10.1049/gtd2.12602
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[17]
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Quantum Enhanced Machine Learning for Unobtrusive Stress Monitoring
Proceedings of the 2022 Fourteenth International Conference on Contemporary Computing,
2022
DOI:10.1145/3549206.3549288
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[18]
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Quantum computing for smart grid applications
IET Generation, Transmission & Distribution,
2022
DOI:10.1049/gtd2.12602
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[19]
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Quantum computing for smart grid applications
IET Generation, Transmission & Distribution,
2022
DOI:10.1049/gtd2.12602
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[20]
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A Systematic Literature Review on big data for solar photovoltaic electricity generation forecasting
Sustainable Energy Technologies and Assessments,
2019
DOI:10.1016/j.seta.2018.11.008
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[21]
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Recognizing the pattern of binary Hermitian matrices by quantum kNN and SVM methods
Vietnam Journal of Computer Science,
2018
DOI:10.1007/s40595-018-0115-y
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