Implementing Real-Time Analytics for Enhanced Energy Efficiency in IoT-Integrated Smart Grid Systems

KV Kanimozhi, P Neelaveni… - 2024 10th …, 2024 - ieeexplore.ieee.org
This paper develops the contemporary role of real-time analytics combining IOT-enabled
smart grid systems in order to improve energy efficiency, strengthen grid dependability and …

Optimizing Resource Utilization in Generative AI Ensembles for Edge Computing

NV Rao, S Swaminathan, KV Kanimozhi… - … on Advances in …, 2024 - ieeexplore.ieee.org
Edge computing in this period makes it difficult to deploy, AI ensemble on resource limited
devices together flow the computation complexity and the system performs. The methods …

Intrusion Detection System for Internet of Thing Environment using Feature Engineering and Balanced Random Forest Algorithm

M Gautam, S Ahuja, A Kumar - 2024 International Conference …, 2024 - ieeexplore.ieee.org
Network intrusion detection is a crucial defensive mechanism against cyber threats, playing
a vital role in preserving the integrity of organizational networks and safeguarding …

Enhanced Prediction of Rheumatoid Arthritis Flares Through Ensemble Learning Methods

K Priyadharshini, S Vinitha… - … on Advances in …, 2024 - ieeexplore.ieee.org
RA is an inflammatory, autoimmune disease with an unpredictable course, during which
patients experience exacerbations (increases in symptoms) and its associated …

Adaptive Beamforming in MIMO Systems Using Deep Learning

L Hussein, V Grover, TA Kumar… - 2024 IEEE …, 2024 - ieeexplore.ieee.org
One of the most significant procedures in MIMO system is the adaptive beamforming which
is the technique of adjusting the direction of signal transmission for better wireless …

Utilizing Gradient Boosting Models to Identify Risk Factors for Stroke

C Harini, GP Rao, PVN Raju… - … on Advances in …, 2024 - ieeexplore.ieee.org
This research looks at the usage of the models of gradient boosting to find out the ones that
are relevant in the stroke incidence. With the help of a large dataset ranging from …

Intrusion Detection System to detect impersonation attacks in IoT networks

HS Manjula, M Chaitra, A Channaraju… - … on Intelligent and …, 2024 - ieeexplore.ieee.org
The instant and rapid growth of interrelated communication and computing devices in the
Internet which electronically binds the various systems in social and physical way and the …

Tilt Angle Prediction of Motorcycle Based on LightGBM

B Huo, S Sha, Y Liu, Z Chen - 2023 China Automation …, 2023 - ieeexplore.ieee.org
The motorcycle tilt angle variation is a crucial indicator for the motorcycle stability. However,
due to the dynamic and complex nature of the environment and motorcycle mechanics, the …

[PDF][PDF] Machine Learning for Intrusion Detection System in IoT Environment with Permutation Importance

VP Singh, R Kumari, M Kaur - 2024 - ceur-ws.org
This study evaluates the efficacy of machine learning algorithms in enhancing intrusion
detection systems (IDS) within IoT networks, focusing on logistic regression and deep neural …

Enhancing 5G Network Throughput Using Reinforcement Learning

MM Adnan, MF Farkhodjonovich… - 2024 IEEE …, 2024 - ieeexplore.ieee.org
In this research, RL is proposed as a solution towards achieving the dynamic optimization of
5G network throughput hindered by the complexity of Intersystems environments. To this …