Feature selection combined with machine learning and high‐throughput experimentation enables efficient handling of high‐dimensional datasets in emerging photovoltaics. This approach accelerates material discovery, improves process optimization, and strengthens stability prediction, while overcoming challenges in data quality and model scalability to ...
Jiyun Zhang +5 more
wiley +1 more source
Shade Nets Improve Gas Exchange and Chlorophyll Fluorescence in Young Avocado Trees Grown Under Mediterranean Conditions. [PDF]
Tasa M +4 more
europepmc +1 more source
This work investigates the optimal initial data size for surrogate‐based active learning in functional material optimization. Using factorization machine (FM)‐based quadratic unconstrained binary optimization (QUBO) surrogates and averaged piecewise linear regression, we show that adequate initial data accelerates convergence, enhances efficiency, and ...
Seongmin Kim, In‐Saeng Suh
wiley +1 more source
Reduced aerosol pollution diminished cloud reflectivity over the North Atlantic and Northeast Pacific. [PDF]
von Salzen K +8 more
europepmc +1 more source
Comparative study and multi-objective optimization of solar stills using priority-based clustering and prediction modelling. [PDF]
Khan MZ +7 more
europepmc +1 more source
Environmental-demographic determinants associated with tuberculosis prevalence in seven African countries: an aggregated dataset analysis. [PDF]
Haverkate TMI +14 more
europepmc +1 more source
Spectrally Engineered Coatings for Steering the Solar Photons. [PDF]
Gong Q, Chen J, Zhang Y, Lu L.
europepmc +1 more source
An innovative metaheuristic algorithm for photovoltaic tilt angle optimization. [PDF]
He L +5 more
europepmc +1 more source
Smart home energy management for sustainable socioeconomic development in Egyptian households. [PDF]
Saif O, Elazab R, Daowd M.
europepmc +1 more source

