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Titlebook: Simulated Annealing: Theory and Applications; Peter J. M. Laarhoven,Emile H. L. Aarts Book 1987 Springer Science+Business Media B.V. 1987

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Deep Learning-Based Tea Fermentation Grading,ng the IoT, image processing, and DCNN using maximum voting approaches. The deep learner had a faultless precision and accuracy of 1.0 each when tested on stored data. When dataset of real time is tested, the deep learning reports the highest accuracy and precision, i.e. 0.9589 and 0.8646, respectiv
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A framework for database mining,in India (1989) but also the men and women who developed the project. In other words, I am simultaneously concerned with both the apparatus of development and the effects of such a development in two localized settings: Delhi and Chitrakoot in India. But my concern is not just with how the apparatus
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