Results 201 to 210 of about 348,594 (257)
Evaluating the contribution of weather variables to machine learning forecasts of visceral leishmaniasis in Brazil. [PDF]
Adams QH +6 more
europepmc +1 more source
International hydrologic science programs and global water issues [PDF]
Landwehr, JA +3 more
core +1 more source
Large Language Model‐Based Chatbots in Higher Education
The use of large language models (LLMs) in higher education can facilitate personalized learning experiences, advance asynchronized learning, and support instructors, students, and researchers across diverse fields. The development of regulations and guidelines that address ethical and legal issues is essential to ensure safe and responsible adaptation
Defne Yigci +4 more
wiley +1 more source
Innovative application of a traffic-prediction spatio-temporal graph convolutional network for dengue disease forecasting. [PDF]
Siabi N +4 more
europepmc +1 more source
Variational Autoencoder+Deep Deterministic Policy Gradient addresses low‐light failures of infrared depth sensing for indoor robot navigation. Stage 1 pretrains an attention‐enhanced Variational Autoencoder (Convolutional Block Attention Module+Feature Pyramid Network) to map dark depth frames to a well‐lit reconstruction, yielding a 128‐D latent code ...
Uiseok Lee +7 more
wiley +1 more source
Extreme, Cold-Season Climatic Events Can Decimate Wildlife and Imperil Population Persistence. [PDF]
Reinking AK, Gura KB.
europepmc +1 more source
The approach of physical in materia computing incorporates parallel computing within the medium itself. A scalable and energy‐efficient, oxide‐based computational platform is realized in form of a nanoporous network of volatile niobium oxide memristors sandwiched between top and bottom metallic electrodes, and then tested for prediction and ...
Joshua Donald +7 more
wiley +1 more source
AI-enabled energy baselines for verified building decarbonization. [PDF]
Li J, Hao Y, Li Y.
europepmc +1 more source
Controlling Dynamical Systems Into Unseen Target States Using Machine Learning
Parameter‐aware next‐generation reservoir computing enables efficient, data‐driven control of dynamical systems across unseen target states and nonstationary transitions. The approach suppresses transient behavior while navigating system collapse scenarios with minimal training data—over an order of magnitude less than traditional methods.
Daniel Köglmayr +2 more
wiley +1 more source
Machine Learning-Based Reconstructions of Historical Daily and Monthly Runoff for the Laurentian Great Lakes. [PDF]
Gupta RS, Wi S, Steinschneider S.
europepmc +1 more source

