Short-term photovoltaic energy generation for solar powered high efficiency irrigation systems using LSTM with Spatio-temporal attention mechanism
M Awais, R Mahum, H Zhang, W Zhang… - Scientific Reports, 2024 - nature.com
Solar irrigation systems should become more practical and efficient as technology
advances. Automation and AI-based technologies can optimize solar energy use for …
advances. Automation and AI-based technologies can optimize solar energy use for …
Machine-learning-based ensemble regression for vehicle-to-vehicle distance estimation using a toe-in style stereo camera
Adjusting the following distance from the front vehicle in highway traffic is important to
reduce the risk of collision. Distance estimation is an important research area for advanced …
reduce the risk of collision. Distance estimation is an important research area for advanced …
EEG-based deception detection using weighted dual perspective visibility graph analysis
Deception detection is a critical aspect across various domains. Integrating advanced signal
processing techniques, particularly in neuroscientific studies, has opened new avenues for …
processing techniques, particularly in neuroscientific studies, has opened new avenues for …
Next-Gen WSN Enabled IoT for Consumer Electronics in Smart City: Elevating Quality of Service Through Reinforcement Learning-Enhanced Multi-Objective …
SP Singh, N Kumar, NS Alghamdi… - IEEE Transactions …, 2024 - ieeexplore.ieee.org
The data transfer volume is massive in next-generation Wireless Sensor Networks (6G-
enabled WSNs) in smart city with consumer electronics-based high communication density …
enabled WSNs) in smart city with consumer electronics-based high communication density …
[PDF][PDF] Identification and Classification of Turn ShortCircuit and Demagnetization Failures in PMSM Using LSTM and GRU Methods
In a very broad range of industrial applications, especially in electric vehicles, permanent
magnet synchronous motors (PMSMs) play an important role. Any failure in PMSMs may …
magnet synchronous motors (PMSMs) play an important role. Any failure in PMSMs may …
[PDF][PDF] Flight Quality Assessment in Full Flight Phase Based on KOA-CNN-GRU-Self-Attention
T Wu, Z Lin, J Huang - Bulletin of the Polish Academy of Sciences … - journals.pan.pl
The main causes of aviation accidents in recent years are mostly related to pilot operational
errors and pilot operational characteristics directly reflect flight quality, so flight quality and …
errors and pilot operational characteristics directly reflect flight quality, so flight quality and …
[引用][C] An Efficient Noise Reduction Technique in Underwater Acoustic Signals Using Enhanced Optimization-based Residual Recurrent Neural Network with Novel …
K Madhusudhanarao - International Journal of Wavelets …, 2024 - World Scientific
An important process for underwater acoustic signal is noise reduction. In ocean exploration
and military, the minimization of noise in the underwater environment is essential to provide …
and military, the minimization of noise in the underwater environment is essential to provide …