Machine learning and IoT for predicting electric power and optimising features based on soil moisture in agriculture
1 . Chithrakkannan R 2 . Dr. V R Senthamizhkumaran 3 . Prof. Uma R Patil 4 . K. Renganathan 5 . Dr. Vinod Mahadeorao Patil 6 . B Naresh 7 . Dr H Anwer Basha 8 . Dr. Pradeep Devendra Gaikwad 9 . Dr L Narendra Mohan 10 . Karunamoorthy B 11 . Nimmy Prabha 12 . Dr Muralidharan J
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Application No. :
202441048130
Filed :
23-06-2024
Published :
05-07-2024
Published
EARLY DETECTION OF BREAST CANCER: A TECHNOLOGICAL APPROACH WITH DEEP LEARNING, IOT, AND 5G
Institute of Aeronautical Engineering
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Application No. :
202441036188
Filed :
07-05-2024
Published :
17-05-2024
Published
THE INTERNET OF THINGS (IOT) COULD BE HELPED BY USING PHOTOVOLTAIC CELLS TO POWER WIRELESS TAGS THAT ARE BUILT INTO FLEXIBLE PEROVSKITES
Institute of Aeronautical Engineering
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Application No. :
202321027525
Filed :
14-04-2023
Published :
12-05-2023
Published
A microcontroller based internet of things system for the detection of alive humans in disaster and war areas
Institute of Aeronautical Engineering
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Application No. :
202241057921
Filed :
10-10-2022
Published :
14-10-2022
Published
A system for artifact reduction with multi-scale deep learning image processing and method thereof
INSTITUTE OF AERONAUTICAL ENGINEERING
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Application No. :
202141037548
Filed :
18-08-2021
Published :
27-08-2021
Published