Rashmiranjan Nayak

Rashmiranjan Nayak has received the BTech degree in Electronics and Telecommunication Engineering from the Biju Patnaik University of Technology, Rourkela, Odisha, India, in 2010, and the MTech degree in Electronics and Communication Engineering (Specialization: Communication and Networks) from the NIT Rourkela, Odisha, India, in 2016. Currently, he is pursuing his Ph.D. in the department of Electronics & Communication Engineering, NIT Rourkela. His current research interests include Time Series Forecasting, Artificial Intelligence, Video Anomaly Detection, Computer Vision, Internet of Things, and UWB Antennas for GPR. He is a graduate student member of IEEE.

Publications

YOLO-IP: An Efficient and Robust Deep Learning Framework to Detect Insect Pests for Agricultural Applications
YOLO-IP: An Efficient and Robust Deep Learning Framework to Detect Insect Pests for Agricultural Applications
Rashmiranjan Nayak, Prashant Dwivedi, Umesh Chandra Pati. © 2023. 26 pages.
The food security of any country may be jeopardized due to improper management of agricultural insect pests. Accurate pest detection and efficient pest control strategies must be...
A Deep Learning-Based Vector Autoregressive-Gated Recurrent Unit Hybrid Model for Long-Term Forecasting of Weather Parameters for Smart Farms
A Deep Learning-Based Vector Autoregressive-Gated Recurrent Unit Hybrid Model for Long-Term Forecasting of Weather Parameters for Smart Farms
Naba Krushna Sabat, Rashmiranjan Nayak, Umesh Chandra Pati, Santos Kumar Das. © 2023. 25 pages.
Agriculture is inextricably linked to the environment. Climate change has an effect directly on agricultural activities. India gets severely impacted if there is a loss of...
Water Quality Time-Series Modeling and Forecasting Techniques
Water Quality Time-Series Modeling and Forecasting Techniques
Rashmiranjan Nayak, Mogarala Tejoyadav, Prajnyajit Mohanty, Umesh Chandra Pati. © 2022. 24 pages.
Water pollution is a global problem. In developing countries like India, water pollution is growing exponentially due to faster unsustainable industrial developments and poor...
Application Placement in Fog-Enabled Internet of Things (IoT) Healthcare System Using Body Sensor Networks
Application Placement in Fog-Enabled Internet of Things (IoT) Healthcare System Using Body Sensor Networks
Hemant Kumar Apat, Rashmiranjan Nayak, Bibhudatta Sahoo, Sagarika Mohanty. © 2022. 26 pages.
The advancement of internet technology along with the high adoption rate of various IoT devices with various emergent IoT applications has put stringent quality of service (QoS)...