نتائج البحث - "KHAN, Umer"

71

دورية أكاديمية

Uncalibrated eye‐in‐hand visual servoing: an LMI approach

المؤلفون: Khan, Umer, Jan, Ibrar, Iqbal, Naeem, Dai, Jian

المصدر: Industrial Robot: An International Journal, 2011, Vol. 38, Issue 2, pp. 130-138.

الوصول الحر: http://www.emeraldinsight.com/doi/10.1108/01439911111106345Test

View full text at Emerald

النص الكامل

72

مؤتمر

A sparrow search optimization algorithm based MPPT control of PV system to harvest energy under uniform and non-uniform irradiance

المؤلفون: Zafar, Muhammad Hamza, Khan, Umer Amir, Khan, Noman Mujeeb

المصدر: 2021 International Conference on Emerging Power Technologies (ICEPT)

الإتاحة: https://doi.org/10.1109/icept51706.2021.9435504Test
http://xplorestaging.ieee.org/ielx7/9435430/9435424/09435504.pdf?arnumber=9435504Test

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73

مؤتمر

Improved Hybrid Grey Wolf Optimizer Sine Cosine Algorithm (IHGWOSCA) Trained Artificial Neural Network (ANN) for Classification

المؤلفون: Bin Younis, Hassaan, Zafar, Muhammad Hamza, Khan, Noman Mujeeb, Ali, Paghunda Roheela, Khan, Umer Amir, Moosavi, Syed Kumayl Raza

المصدر: 2021 16th International Conference on Emerging Technologies (ICET)

الإتاحة: https://doi.org/10.1109/icet54505.2021.9689822Test
http://xplorestaging.ieee.org/ielx7/9689772/9689782/09689822.pdf?arnumber=9689822Test

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74

مؤتمر

Radial Basis Function trained with Dynamic Differential Annealed Optimization algorithm based Maximum Power Point Tracking Control of PV system under Uniform and Non-Uniform irradiance

المؤلفون: Khan, Noman Mujeeb, Khan, Umer Amir, Zafar, Muhammad Hamza

المصدر: 2021 International Conference on Emerging Power Technologies (ICEPT)

الإتاحة: https://doi.org/10.1109/icept51706.2021.9435575Test
http://xplorestaging.ieee.org/ielx7/9435430/9435424/09435575.pdf?arnumber=9435575Test

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75

مؤتمر

Short Term Hybrid PV/Wind Power Forecasting for Smart Grid Application using Feedforward Neural Network (FNN) Trained by a Novel Atomic Orbital Search (AOS) Optimization Algorithm

المؤلفون: Zafar, Muhammad Hamza, Khan, Noman Mujeeb, Khan, Umer Amir

المصدر: 2021 International Conference on Frontiers of Information Technology (FIT)

الإتاحة: https://doi.org/10.1109/fit53504.2021.00023Test
http://xplorestaging.ieee.org/ielx7/9701367/9701368/09701394.pdf?arnumber=9701394Test

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76

مؤتمر

Short Term Power Forecasting of Wind Energy System using Deep Neural Network (DNN) Trained by a Novel Meta-Heuristic Optimization Algorithm

المؤلفون: Khan, Noman Mujeeb, Hamza Zafar, Muhammad, Khan, Umer Amir

المصدر: 2021 16th International Conference on Emerging Technologies (ICET)

الإتاحة: https://doi.org/10.1109/icet54505.2021.9689800Test
http://xplorestaging.ieee.org/ielx7/9689772/9689782/09689800.pdf?arnumber=9689800Test

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77

مؤتمر

Improving the Efficiency of Transmission Line by Using 48-Pulse Smart Power Flow Controller

المؤلفون: Arooj, Qumrish, Khan, Umer Amir

المصدر: 2021 16th International Conference on Emerging Technologies (ICET)

الإتاحة: https://doi.org/10.1109/icet54505.2021.9689899Test
http://xplorestaging.ieee.org/ielx7/9689772/9689782/09689899.pdf?arnumber=9689899Test

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78

مؤتمر

Optimal Control of PV System to Extract Maximum Power Under Non-Uniform Environmental Conditions

المؤلفون: Khan, Kamran, Zafar, Muhammad Hamza, Mujeeb Khan, Noman, Khan, Umer Amir

المصدر: 2021 16th International Conference on Emerging Technologies (ICET)

الإتاحة: https://doi.org/10.1109/icet54505.2021.9689837Test
http://xplorestaging.ieee.org/ielx7/9689772/9689782/09689837.pdf?arnumber=9689837Test

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79

مؤتمر

Hybrid Grey Wolf Optimizer Sine Cosine Algorithm based Maximum Power Point Tracking Control of PV Systems under Uniform Irradiance and Partial Shading Condition

المؤلفون: Zafar, Muhammad Hamza, Khan, Umer Amir, Khan, Noman Mujeeb

المصدر: 2021 4th International Conference on Energy Conservation and Efficiency (ICECE)

الإتاحة: https://doi.org/10.1109/icece51984.2021.9406309Test
http://xplorestaging.ieee.org/ielx7/9406199/9406275/09406309.pdf?arnumber=9406309Test

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80

مؤتمر

Maximum Power Point Tracking of PV System under Uniform Irradiance and Partial Shading Conditions using Machine Learning Algorithm Trained by Sailfish Optimizer

المؤلفون: Mujeeb Khan, Noman, Amir Khan, Umer, Hamza Zafar, Muhammad

المصدر: 2021 4th International Conference on Energy Conservation and Efficiency (ICECE)

الإتاحة: https://doi.org/10.1109/icece51984.2021.9406288Test
http://xplorestaging.ieee.org/ielx7/9406199/9406275/09406288.pdf?arnumber=9406288Test

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