Zobrazeno 1 - 10
of 52
pro vyhledávání: '"Renny Edwin Fernandez"'
Autor:
Midhun Nair, Renny Edwin Fernandez
Publikováno v:
IEEE Access, Vol 12, Pp 4315-4327 (2024)
Access to safe and secure food is an essential human requirement for a sustainable world. Ensuring the safety of fresh food products necessitates accurate analytical techniques. This study presents an innovative food safety approach using rapid 3D re
Externí odkaz:
https://doaj.org/article/2f744ace2ad840f4abef658c7091c3c9
Publikováno v:
IEEE Access, Vol 11, Pp 7320-7335 (2023)
We report a smart irrigation system that allows selective irrigation of localized dry spots in an agricultural field. The proposed irrigation system uses a quadcopter drone equipped with a Thermal Infrared (TIR) camera and a GPS module to generate ge
Externí odkaz:
https://doaj.org/article/5d2d13511f4b43ed966ce08059ba61b4
Autor:
Sunday Ajala, Harikrishnan Muraleedharan Jalajamony, Midhun Nair, Pradeep Marimuthu, Renny Edwin Fernandez
Publikováno v:
Scientific Reports, Vol 12, Iss 1, Pp 1-17 (2022)
Abstract An intelligent sensing framework using Machine Learning (ML) and Deep Learning (DL) architectures to precisely quantify dielectrophoretic force invoked on microparticles in a textile electrode-based DEP sensing device is reported. The predic
Externí odkaz:
https://doaj.org/article/9488dc8e3924432db195bc8228d1d2d7
Autor:
Akshaya Kumar Aliyana, S. K. Naveen Kumar, Pradeep Marimuthu, Aiswarya Baburaj, Michael Adetunji, Terrance Frederick, Praveen Sekhar, Renny Edwin Fernandez
Publikováno v:
Scientific Reports, Vol 11, Iss 1, Pp 1-10 (2021)
Abstract We report a machine learning approach to accurately correlate the impedance variations in zinc oxide/multi walled carbon nanotube nanocomposite (F-MWCNT/ZnO-NFs) to NH4 + ions concentrations. Impedance response of F-MWCNT/ZnO-NFs nanocomposi
Externí odkaz:
https://doaj.org/article/4377620c7d17459e91b87c658b05be30
Publikováno v:
Micromachines, Vol 13, Iss 1, p 41 (2021)
The ability to accurately quantify dielectrophoretic (DEP) force is critical in the development of high-efficiency microfluidic systems. This is the first reported work that combines a textile electrode-based DEP sensing system with deep learning in
Externí odkaz:
https://doaj.org/article/33a8208d027e447fb5a58f1ba4fdcb87
Autor:
S. K. Naveen Kumar, Akshaya Kumar Aliyana, Aiswarya Baburaj, Michael Adetunji, Renny Edwin Fernandez
Publikováno v:
IEEE Transactions on NanoBioscience. 22:121-127
This work reports on the development of an impedance sensor-based real-time-field specific system to monitor aqueous Ammonium (NH4+). The sensing element was fabricated by modifying screen-printed interdigitated electrodes (IDEs) with a hybrid nanoco
Publikováno v:
SoutheastCon 2023.
Autor:
Harikrishnan Muraleedharan Jalajamony, Midhun Nair, Mya Jones-Whitehead, Muhammad Ibrahim Abbas, Nicholas Harris, Renny Edwin Fernandez
Publikováno v:
SoutheastCon 2023.
Autor:
Harikrishnan Muraleedharan Jalajamony, Midhun Nair, Sunday Ajala, Kiara Chambers, Derricka Jones, Jailyn Battle, Patricia F. Mead, Renny Edwin Fernandez
Publikováno v:
2022 IEEE Sensors.
Publikováno v:
2022 IEEE Sensors.