Multimodal medical image fusion algorithm in the era of big data

W Tan, P Tiwari, HM Pandey, C Moreira… - Neural computing and …, 2020 - Springer
In image-based medical decision-making, different modalities of medical images of a given
organ of a patient are captured. Each of these images will represent a modality that will …

Adaptive performance modeling framework for QoS-aware offloading in MEC-based IIoT systems

S Bebortta, D Senapati, CR Panigrahi… - IEEE internet of things …, 2021 - ieeexplore.ieee.org
The extensive growth in Industrial Internet of Things (IIoT) applications has tremendously
increased the demands for low latency and resource-sensitive computing to accomplish …

Smart agriculture wireless sensor routing protocol and node location algorithm based on Internet of Things technology

D Xue, W Huang - IEEE Sensors Journal, 2020 - ieeexplore.ieee.org
With the increase of the world's population, people's demand for food is also increasing.
However, due to various reasons, traditional agriculture cannot make full use of the land …

Machine learning prediction based adaptive duty cycle MAC protocol for solar energy harvesting wireless sensor networks

S Sarang, GM Stojanović, M Drieberg… - IEEE …, 2023 - ieeexplore.ieee.org
The dynamic nature of energy harvesting rate, arising because of ever changing weather
conditions, raises new concerns in energy harvesting based wireless sensor networks (EH …

An adaptive modeling and performance evaluation framework for edge-enabled green IoT systems

S Bebortta, D Senapati, CR Panigrahi… - IEEE transactions on …, 2021 - ieeexplore.ieee.org
The enormous growth in Internet of Things (IoT) has caused large-scale transformation in
data acquisition and communication mechanism for conventional IoT systems. The …

A robust energy optimization and data reduction scheme for iot based indoor environments using local processing framework

S Bebortta, AK Singh, B Pati, D Senapati - Journal of Network and Systems …, 2021 - Springer
The extensive growth in popularity of Internet of Things (IoT) has led to the generation of
massive amount of data from several heterogeneous sensory devices. This has also led to …

Dynamic performance modeling framework for qos-aware 5g-based iot-edge systems

S Bebortta, B Pati, CR Panigrahi, D Senapati - International Journal of …, 2024 - Springer
The development of fifth-generation (5G) mobile networks, which enable new levels of near
real-time automation of remote Internet of Things (IoT) devices. The current IoT concept will …

Heralding the future of federated learning framework: architecture, tools and future directions

SK Das, S Bebortta - … on cloud computing, data science & …, 2021 - ieeexplore.ieee.org
In today's era, the exponential growth of data and its management is a matter of concern.
Machine learning has shown its efficacy in multiple application areas. But machine learning …

An intelligent spatial stream processing framework for digital forensics amid the COVID-19 outbreak

S Bebortta, AR Dalabehera, B Pati, CR Panigrahi… - Smart Health, 2022 - Elsevier
In recent times, several strategies to minimize the spread of 2019 novel coronavirus disease
(COVID-19) have been adopted. Some recent technological breakthroughs like the drone …

An opportunistic ensemble learning framework for network traffic classification in iot environments

S Bebortta, SK Singh - … of the Seventh International Conference on …, 2022 - Springer
The advancements of Internet of Things (IoT)-based platforms have considerably motivated
the growth in malicious attacks to IoT devices and the network infrastructure. This has given …