Results 161 to 170 of about 144,645 (228)
Artificial intelligence (AI) is reshaping autonomous mobile robot navigation beyond classical pipelines. This review analyzes how AI techniques are integrated into core navigation tasks, including path planning and control, localization and mapping, perception, and context‐aware decision‐making. Learning‐based, probabilistic, and soft‐computing methods
Giovanna Guaragnella +5 more
wiley +1 more source
Visualizing and Quantifying microRNA‐Induced DNA Origami Separation at the Nanoscale
Clinically relevant miRNA biomarkers trigger the disassembly of DNA origami dimers into monomers through a toehold‐mediated strand displacement reaction. High‐speed AFM was used to visualize this reaction in real time, while solid‐state nanopore measurements quantified the populations of dimers and monomers, as well as the resulting miRNA concentration,
Chalmers C. C. Chau +4 more
wiley +2 more sources
Perceiving Unpredictability for New Energy Power and Electricity Consumption Forecasting. [PDF]
Zhao L +5 more
europepmc +1 more source
This paper presents the deformable attention multiscale feature fusion network‐dehaze adaptive image dehazing network, which integrates three core modules (revised residual shrinkage unit, multiscale attention, cross‐scale feature fusion). It incorporates deformable convolution and multiscale attention mechanisms to address the detail loss issue of ...
Ruipeng Wang +4 more
wiley +1 more source
Reliable and Adaptive Probabilistic Forecasting for Event-Driven Water-Quality Time Series Using a Gated Hybrid-Mixture Density Network. [PDF]
Ehmimed N, Chkouri MY, Touhafi A.
europepmc +1 more source
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
UncerTrans: uncertainty-aware temporal transformer for early action prediction. [PDF]
Zhai X, Liu Y.
europepmc +1 more source
Clarifying space use concepts in ecology: Range vs. occurrence distributions. [PDF]
Alston JM +43 more
europepmc +1 more source
ABSTRACT High‐resolution and accurate synoptic images of terrestrial topography, even in densely forested areas, have proven valuable for archaeology by enabling the identification and characterization of relief patterns associated with ancient human activities. This study presents a novel approach that integrates digital terrain models (DTMs) obtained
Jhon A. Zabaleta‐Santisteban +13 more
wiley +1 more source

