Latest

Humidity

Research Finds Hybrid Model for Adaptive Temperature and Humidity Forecasting in Solar Greenhouses

Researchers from Shenyang Agricultural University have developed a new RIME-optimized CNN-BiLSTM hybrid model for precise climate forecasting to protect agriculture. This model addresses the challenges of large diurnal temperature difference and extreme weather in Northeast China, which can significantly impact crop production. By using Pearson correlation analysis and the RIME

Auckland University

Smart Seismic Rocking Motion Control of Fluid Tanks Using Semi-active Model-based and Data-driven Adaptive Control

Researchers from Auckland University of Technology have made significant strides in developing a smart vertical isolation system for seismic protection of fluid tanks. This innovative system utilizes magnetorheological dampers to mitigate base excitations and reduce uplift displacement. The study's findings demonstrate substantial reductions in damage to fluid tanks

Artificial neural networks

Global Polynomial Pinning Synchronization of Coupled Reaction-diffusion Inertial Neural Networks via Dual Event Triggered Markov-switched Control

Researchers at Nazarbayev University have made a significant breakthrough in the field of information and data encoding and encryption. The team, led by Dr. Ardak Kashkynbayev, has developed a novel method for achieving global polynomial pinning synchronization (GPPS) in coupled reaction-diffusion inertial neural networks (CRDINNs) with proportional delays. This method,