Self-healing integration of fiber/FSO communication and sensor network for improving survivability
In this paper, we proposed a novel self-healing fiber/free-space optics (FSO) communication
integrated with a sensor network for simultaneous transmission of optical communication …
integrated with a sensor network for simultaneous transmission of optical communication …
A novel identification method of microseismic events based on empirical mode decomposition and artificial neural network features
J Tian, Z Tian, M Zhang, Q Meng, A Zhang, C Liu… - Journal of Applied …, 2024 - Elsevier
Microseismic technology has been widely used in geological hazard monitoring. However,
the effective identification and classification of microseismic events in mines have always …
the effective identification and classification of microseismic events in mines have always …
[HTML][HTML] Establishing Lightweight and Robust Prediction Models for Solar Power Forecasting Using Numerical–Categorical Radial Basis Function Deep Neural …
CH Loh, YC Chen, CT Su, HY Su - Applied Sciences, 2024 - mdpi.com
As green energy technology develops, so too grows research interest in topics such as solar
power forecasting. The output of solar power generation is uncontrollable, which makes …
power forecasting. The output of solar power generation is uncontrollable, which makes …
Coronavirus disease situation analysis and prediction using machine learning: a study on Bangladeshi population
During a pandemic, early prognostication of patient infected rates can reduce the death by
ensuring treatment facility and proper resource allocation. In recent months, the number of …
ensuring treatment facility and proper resource allocation. In recent months, the number of …
Deep learning for big data analytics
With the fast-growing data deluge across all complex realworld applications such as social
networks, biological networks, Internet of Things (IoT), and so on, the current big data has …
networks, biological networks, Internet of Things (IoT), and so on, the current big data has …
Real-time straw moisture content detection system for mobile straw granulator
W Wang, Y Gong, X Bai, R Tan - Journal of Agricultural …, 2024 - agroengineering.org
In order to improve the molding rate of biomass particles extruded by ring mold of the mobile
straw granulator, a real-time straw moisture content detection system based on frequency …
straw granulator, a real-time straw moisture content detection system based on frequency …
Early Risk Prediction of Chronic Myeloid Leukemia with Protein Sequences using Machine Learning-based Meta-Ensemble
Leukemia, the cancer of blood cells, originates in the blood-forming cells of the bone
marrow. In Chronic Myeloid Leukemia (CML) conditions, the cells partially become mature …
marrow. In Chronic Myeloid Leukemia (CML) conditions, the cells partially become mature …
Inverse Reinforcement Learning from Non-Stationary Learning Agents
In this paper, we study an inverse reinforcement learning problem that involves learning the
reward function of a learning agent using trajectory data collected while this agent is …
reward function of a learning agent using trajectory data collected while this agent is …
A Robust State Forecasting Method to Cyber Attacks for Smart Cyber-Physical Grids
S Hadayeghparast - 2021 - atrium.lib.uoguelph.ca
Smart grid is a complex cyber–physical system formed by integrating the physical power
system with the sensing, computing technology, and communication systems. Security risks …
system with the sensing, computing technology, and communication systems. Security risks …