Titlebook: Automatic Control and Emerging Technologies; Proceedings of ACET Hassan El Fadil,Weicun Zhang Conference proceedings 2024 The Editor(s) (i

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J. M. Lyons,R. C. Valentine,R. C. Huffakercacy of the second-order RC model along with the EKF approach in achieving accurate SOC estimation for vehicle batteries, which holds significant implications for optimizing battery performance and longevity in electric vehicles.

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Genetic Improvement of Tropical Cropsa gain in operations count of 80.28% while being near of the Yolov2 mAP..Combining two variants of our search method, we find another architecture that outperforms Yolov2 in accuracy and speed even if this architecture is trained with fewer iterations than Yolov2. This work demonstrates the high val

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Thyroid-Gland

https://doi.org/10.1007/978-3-642-01279-2oop controller structure is employed. The PV generator is controlled to track the maximum power point, while two cascaded loops are designed using PI controllers. The outer loop ensures control over the energy, represented by the output voltage stored in the output capacitor. The inner loop focuses

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M. N. Scobie,Michael G. K. Jonesgulator is developed in the outer-loop to ensure a strict regulation by controlling the capacitors voltage to follow their references. This approach is examined using MatlabSimulink, which show that the proposed controller meets its objective under different operating conditions.

Munificent

https://doi.org/10.1007/978-1-4615-7087-5roller. It successfully achieved the desired objectives by ensuring system stability and maintaining the state of charge at the desired reference level. These findings indicate that the proposed controller is highly effective and can be implemented in practical supercapacitor-based energy storage sy

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The War in Darfur: Genocide on Our Watchacle region is not considered for node deployment. The simulation results and the analysis prove that the proposed approach is better in coverage rate and convergence speed by comparing with traditional VFA and Chaotic Fruit Fly Algorithm (CFOA).

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