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    An ensembled-deep-learning paradigm trained with a self-improved coyote optimization algorithm (SI-COA) for crop disease detection

    In recent times, drastic climate changes have caused a substantial increase in the growth of crop diseases. This causes large-scale demolition of crops, decreases cultivation, and eventually leads to the finan...

    Preeti Shukla, Amit Kumar Chandanan in Multimedia Tools and Applications (2024)

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    A Wavelet Features and Machine Learning Founded Error Analysis of Sound and Trembling Signal

    The sound and vibration signals coming from the spinning machinery are non-stationary signals, and to analyse them, we require information on both their time and frequency components. The signal in the time do...

    Prashant Kumar Shukla, Vandana Roy, Amit Kumar Chandanan in SN Computer Science (2023)

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    Optimization of sensor node location utilizing artificial intelligence for mobile wireless sensor network

    Physical activity can be monitored via small low-power sensor nodes (SNs) that are widely dispersed over the earth. For WSN sensor nodes, GPS is one of the most commonly utilised localization algorithms. Milit...

    Mesfer Alrizq, Shalini Stalin, Sultan Alyami, Vandana Roy in Wireless Networks (2023)