CLM-former for enhancing multi-horizon time series forecasting and load prediction in smart microgrids using a robust transformer-based model. [PDF]
Rahmatinia SM +2 more
europepmc +1 more source
Screening and epitope characterization of Nidogen‐2‐specific nanobodies
Camel immunization and phage display were employed to generate high‐affinity VHH nanobodies against Nidogen‐2. After library construction, biopanning, ELISA screening, sequencing, and recombinant expression, selected nanobodies were purified and characterized, leading to the preliminary exploration of a nanobody‐based sandwich ELISA for specific ...
Jianchuan Wen +9 more
wiley +1 more source
Seasonal forecasting using the GenCast probabilistic machine learning model. [PDF]
Antonio B, Strommen K, Christensen HM.
europepmc +1 more source
Cytosolically synthesized chloroplast preproteins are translocated across the outer and inner envelope membranes through translocons called TOC and TIC, respectively. In green algae and plants, the TIC core is composed of essential membrane proteins, Tic12, Tic20, and Tic214.
Mengyi Li, Xueyang Zhao, Masato Nakai
wiley +1 more source
Forecasting crude oil futures price with energy uncertainty: Evidence from machine learning methods. [PDF]
Wei X.
europepmc +1 more source
Hybrid Forecast-Enabled Adaptive Crowbar Coordination for LVRT Enhancement in DFIG Wind Turbines. [PDF]
Su X, Kim H, Kim C, Zhang M, Jung H.
europepmc +1 more source
Deep residual networks with convolutional feature extraction for short-term load forecasting. [PDF]
Liu J +4 more
europepmc +1 more source
Forecasting Influenza Epidemics and Pandemics in the Age of AI and Machine Learning. [PDF]
Kamyshnyi O +5 more
europepmc +1 more source
The forecasting of pediatric asthma clinic visits: A comparative analysis of time-series models under varying training set sizes. [PDF]
Zhang X +6 more
europepmc +1 more source

