Titlebook: Secondary Agriculture; Sustainability and L F. A. Bahar,M. Anwar Bhat,Syed Sheraz Mahdi Book 2022 The Editor(s) (if applicable) and The Aut

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ers for the first and/or second attention-like layers of CNNs to better extract features. Then CNNs were trained with the prefixed filters for experimentation on the UoM, BONN, and Cassava datasets. Experimental results have demonstrated that such combination of MRF and CNN can enhance classificatio

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S. S. Walia,Tamanpreet Kaurhe dissimilarity between terms, we develop procedures for interpreting terms of one panel using those of another panel and a model for setting the relationships between the physical product features and the evaluation terms. Then, we introduce a new method to forecast the consumer preference from th

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Zahoor A. Dar,Azra Khan,Ajaz A. Lone,Fayaz Ahmed Bahar,S. Baghel,B. A. Lone,S. Sheraz Mahdi,Rukhsana carried out on two different well-known datasets. The classification accuracy reached by a standard back-propagation ANN model trained first on a random subset and then on subsamples selected by T&T systems, while simultaneously using IS to select the variables, is compared. The results show a sign

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Showket Ahmad Dar,Syed Sheraz Mahdi,Fahd Mohammed Abd Al Galil,Sajad Hussain Mir,Rukhsana Jan,Rania data to identify the effectiveness of the measurement. Therefore, we can calculate element contents with the calibration parameter achieved before. This method can decrease the times of laser excitation and increase the measurement accuracy effectively.

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Y. S. Shivay,Sunil Mandi data to identify the effectiveness of the measurement. Therefore, we can calculate element contents with the calibration parameter achieved before. This method can decrease the times of laser excitation and increase the measurement accuracy effectively.

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