[PDF][PDF] Secure integration of wireless sensor network with cloud using coded probable bluefish cryptosystem

N Ravindhar, S Sasikumar, N Bharathiraja… - J. Theor. Appl. Inf …, 2022 - jatit.org
Wireless sensor networks (WSNs) connect hundreds or thousands of physically separate
sensor nodes (or" motes") to gather data from all over a given area. The medical monitoring …

FEDAF: frequency enhanced decomposed attention free transformer for long time series forecasting

X Yang, H Li, X Huang, X Feng - Neural Computing and Applications, 2024 - Springer
Long time series forecasting (LTSF), which involves modeling relationships within long time
series to predict future values, has extensive applications in domains such as weather …

Forecasting PM2. 5 Concentration Using Gradient-Boosted Regression Tree with CNN Learning Model

A Usha Ruby, JGC Chandran, P Theerthagiri… - Optical Memory and …, 2024 - Springer
Air pollution imposed by particle matter (PM) made it a public health concern and hazard to
humans and the environment. Reduced vision, allergic responses, pneumonia, asthma …

E-Collaboration for Management Information Systems Using Deep Learning Technique

V Rajalakshmi, V Muthukumaran, MS Koti… - … of Research on …, 2022 - igi-global.com
Universities are currently confronted with changing student needs, a competitive labour
market, and a fast-paced environment. The advancement of communication technology has …

Stock Price Volatility Prediction in Financial Big Data on XGBoost and ARIMA Models

Y Wang, Z Wang - 2023 International Conference on Ambient …, 2023 - ieeexplore.ieee.org
Stock financial market is a typical incomplete information economy. Price volatility is an
important characteristic of the stock market, it reflects the uncertainty of the market, but also …

A Multi-Head Attention Mechanism Base Multi-Dimensional Data Quality Evaluation Model

X Liu, Q Li, S Zhu, C Wang, L Meng - Proceedings of the 7th International …, 2022 - dl.acm.org
High-quality power data is the basis for reliable operation of power systems, efficient data
processing, and effective mining of the potential value of power data. How to use big data …