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[HTML][HTML] Emerging trends in blockchain technology and applications: A review and outlook
At present times, Blockchain technology is gaining more attraction with every passing day,
as it has revolutionized the traditional trade due to its distributed ledger feature, every record …
as it has revolutionized the traditional trade due to its distributed ledger feature, every record …
Navigating industry 5.0: A survey of key enabling technologies, trends, challenges, and opportunities
This century has been a major avenue for revolutionary changes in technology and industry.
Industries have transitioned towards intelligent automation, relying less on human …
Industries have transitioned towards intelligent automation, relying less on human …
Hybrid VMD-CNN-GRU-based model for short-term forecasting of wind power considering spatio-temporal features
Z Zhao, S Yun, L Jia, J Guo, Y Meng, N He, X Li… - … Applications of Artificial …, 2023 - Elsevier
Accurate and reliable short-term forecasting of wind power is vital for balancing energy and
integrating wind power into a grid. A novel hybrid deep learning model is designed in this …
integrating wind power into a grid. A novel hybrid deep learning model is designed in this …
A secure intrusion detection platform using blockchain and radial basis function neural networks for internet of drones
The Internet of Drones (IoD) is built on the Internet of Things (IoT) by replacing “Things” with
“Drones” while retaining incomparable features. Because of its vital applications, IoD …
“Drones” while retaining incomparable features. Because of its vital applications, IoD …
From knowledge-based to big data analytic model: a novel IoT and machine learning based decision support system for predictive maintenance in Industry 4.0
Abstract The Internet of Things (IoT), Big Data and Machine Learning (ML) may represent
the foundations for implementing the concept of intelligent production, smart products …
the foundations for implementing the concept of intelligent production, smart products …
A new filter feature selection algorithm for classification task by ensembling pearson correlation coefficient and mutual information
H Gong, Y Li, J Zhang, B Zhang, X Wang - Engineering Applications of …, 2024 - Elsevier
Feature selection is widely used in various fields as a key means of data dimension
reduction. The existing feature selection algorithms only use one linear or nonlinear …
reduction. The existing feature selection algorithms only use one linear or nonlinear …
Last-mile drone delivery: Past, present, and future
Sustainable green products and services garner more attention from companies and
enterprises that aim to succeed and grow in highly competitive markets by imposing less …
enterprises that aim to succeed and grow in highly competitive markets by imposing less …
Adoption of Unmanned Aerial Vehicle (UAV) imagery in agricultural management: A systematic literature review
Precision agriculture and Smart farming have become the essential backbone for
sustainable agricultural production by leveraging cutting edge remote sensing and …
sustainable agricultural production by leveraging cutting edge remote sensing and …
Enhancing short-term forecasting of daily precipitation using numerical weather prediction bias correcting with XGBoost in different regions of China
Accurate precipitation (P) short-term forecasts are important for engineering studies and
water allocation. This study evaluated a method for bias correction of the Numerical Weather …
water allocation. This study evaluated a method for bias correction of the Numerical Weather …
Wind, solar, and photovoltaic renewable energy systems with and without energy storage optimization: A survey of advanced machine learning and deep learning …
Nowadays, learning-based modeling methods are utilized to build a precise forecast model
for renewable power sources. Computational Intelligence (CI) techniques have been …
for renewable power sources. Computational Intelligence (CI) techniques have been …