Items where Author is "Moyeenudin, H.M."

Moyeenudin, H.M. and Hannah, S. and Anuradha, T. and Muthalagu, R. and Devi, V. Seedha and Anand, A. Jose (2023) Analysis of Electroencephalographic Signals to Study the Behavior of Brain Frequencies for the Study of Academic Stress. In: 2023 2nd International Conference on Automation, Computing and Renewable Systems (ICACRS), Pudukkottai, India.

Moyeenudin, H.M. and Parvez, Shaik Javed and Jose, Anand A and Anandan, R and Goundar, Sam (2023) Detecting Device Sensors of Luxury Hotels using Blockchain-based Federated Learning to Increase Customer Satisfaction: Advances, Applications and Opportunities. In: Handbook on Federated Learning. CRC Press, Boca Raton, pp. 283-307. ISBN 9781003384854

Moyeenudin, H.M. and Kumar, S. Hari and Narender, M. and A., Jose Anand and Amutharaj, J. (2023) Comparative Analysis of Video Transmission in Vehicular Networks using IEEE 802.11g and IEEE 802.11p Standards. In: 2023 First International Conference on Advances in Electrical, Electronics and Computational Intelligence (ICAEECI), Tiruchengode, India.

Moyeenudin, H.M. and Narender, M. and Mukunthan, M. A. and Raman, Kanimozhi and Balasubramanian, D. (2023) An Analysis on the Power Consumption of Nodes in Ad hoc IEEE 802.11 Networks. In: 2023 3rd International Conference on Pervasive Computing and Social Networking (ICPCSN), Salem, India.

Moyeenudin, H.M. and Thiruchelvi, R. and Wilfred Lawrence, A. and John Williams, R. (2022) The phytochemical components of caesalpinia sappan in treating respiratory ailments through an herbal soup in addition with sensory evaluation. Materials Today: Proceedings, 56. pp. 2167-2171. ISSN 22147853

Moyeenudin, H.M. and R., Thiruchelvi (2021) The Antiviral and Antibacterial properties of Plectranthus amboinicus and Piper longum with the Addition to Focaccia Bread Nutritional Value and Sensory Evaluation. Research Journal of Pharmacy and Technology. pp. 4951-4956. ISSN 0974-3618

Moyeenudin, H.M. and Anandan, R. and Anandan, R. Artificial intelligence for knowing the anticipation of client from online food delivery using big data. Artificial intelligence for knowing the anticipation of client from online food delivery using big data.