Deep Learning Applications in Optical Microscopy Techniques
In a recent review article published in the journal Microscopy Research & Technique, researchers focused on the integration of DL into...
techniques
Estimation of state of health for lithium-ion batteries using advanced data-driven techniques
The suggested method for estimating the SOH of batteries included three stages, as illustrated in Fig. 7, data pre-processing, model training,...
Prognosis of air quality index and air pollution using machine learning techniques
This research has progressed through three main stages. The first one included preparing and processing air quality parameters. The second...
Leveraging machine learning techniques for image classification and revealing social media insights into human engagement with urban wild spaces
This research aims to explore human engagement with urban wild spaces by leveraging the vast amount of human-generated data available...
Efficient Techniques From Swaminathan Sethuraman Reshaping Neural Networks
The growing appetite for artificial intelligence is colliding with practical limits on energy, memory, and interpretability. Three recent studies by...
Forecasting invasive mosquito abundance in the Basque Country, Spain using machine learning techniques | Parasites & Vectors
Entomological and meteorological dataData on Aedes mosquito egg counts from 2013 to 2023 in the Basque Country were obtained using...
