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Waqar Malikrmarket, this paper contributes value to the improvement of operational resource planning, overcapacity avoiding while not increasing or reducing queues and waiting time of customers. The recommendation that waiting time is perceived by customers as a factor of lower service quality to business mana

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Waqar Malikep Learning and minimizes overfitting regardless of data size. The experiments conducted on both Cohn Kanade (CK+) and Binghamton University 3D Facial Expression (BU-3DFE) datasets, prove that Deep Forest provides promising results with an impressive reduction in computational time.

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Waqar Malikep Learning and minimizes overfitting regardless of data size. The experiments conducted on both Cohn Kanade (CK+) and Binghamton University 3D Facial Expression (BU-3DFE) datasets, prove that Deep Forest provides promising results with an impressive reduction in computational time.

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Waqar Malik joint conditional intensity distribution and the displacement vector field are computed. The proposed algorithm was tested with different kinds of medical images; preliminary results show that the methodology is a good alternative for non-rigid multimodal registration.

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