A review and comparative analysis of maximum power point tracking control algorithms for wind energy conversion systems

YK Teklehaimanot, FK Akingbade, BC Ubochi… - International Journal of …, 2024 - Springer
In the current era, renewable energy has emerged as a vital alternative to fossil fuels, driven
by the repercussions of global warming and the depleting supply of fossil fuels. Among …

Metaheuristic assisted hybrid deep classifiers for intrusion detection: a bigdata perspective

L Madhuridevi, NVS Sree Rathna Lakshmi - Wireless Networks, 2024 - Springer
The growth of social networks and cloud computing has resulted in the production of
enormous amounts of data, which poses significant challenges for intrusion detection …

Convolutional Neural Network for Sentiment Analysis on Metaverse-Related Tweets: A Deep Learning Approach

R Alfaisal, H Hashim, UH Azizan - SN Computer Science, 2024 - Springer
Sentiment analysis has become an indispensable tool in interpreting vast amounts of data
generated from social media platforms, providing insights into public opinions on a variety of …

[HTML][HTML] Algorithm for community security risk assessment and influencing factors analysis by back propagation neural network

S Zhou, M Du, XY Liu, H Shen - Heliyon, 2024 - cell.com
This paper aims to accurately assess and effectively manage various security risks in the
community and overcome the challenges faced by traditional models in handling large …

[PDF][PDF] Customized Convolutional Neural Network for Accurate Detection of Deep Fake Images in Video Collections.

D Gura, B Dong, D Mehiar… - Computers, Materials & …, 2024 - researchgate.net
The motivation for this study is that the quality of deep fakes is constantly improving, which
leads to the need to develop new methods for their detection. The proposed Customized …

An Enhanced Hybrid Model for financial market and economic analysis: a case study of the Nasdaq Index

H Gong - International Journal of System Assurance Engineering …, 2024 - Springer
Individuals participate in the purchase and sale of securities affiliated with corporations on
the stock market, which increases economic prosperity. The intricate interplay between …

Adaptive fuzzy-based node communication performance prediction with hybrid heuristic Cluster Head selection framework in WSN using enhanced K-means …

A Ayyappan, R Arunachalam… - Journal of Ambient …, 2024 - content.iospress.com
The “Wireless Sensor Networks (WSN)” has gained a lot of interest among research
scholars and has been utilized in various advanced applications in distinct fields. Along with …

An advanced initialization technique for metaheuristic optimization: a fusion of Latin hypercube sampling and evolutionary behaviors

H Escobar-Cuevas, E Cuevas, K Avila… - … and Applied Mathematics, 2024 - Springer
Many new metaheuristic algorithms prioritize their search strategy phase, often neglecting
equally critical stages like initialization. Latin hypercube sampling (LHS) is one technique …

Experimental investigations and optimization of process parameters using COPRAS method during laser beam machining of Hardox-400 spur gears

DV Praveen, PU Rao, T Nancharaiah, S Krugon… - International Journal on …, 2024 - Springer
Laser beam machining (LBM) has emerged as a viable alternative to unconventional
machining techniques due to its ability to produce precise and intricate components. In the …

Next‐generation energy‐efficient optical networking: DQ‐RGK algorithm for dynamic quality of service and adaptive resource allocation

M Swamidoss, D Samiayya… - … Practice and Experience, 2024 - Wiley Online Library
In green optical networking, designing an adaptive energy‐saving scheme plays a vital role,
in optimizing energy consumption by dynamically adjusting resources based on network …