Results 221 to 230 of about 1,275,858 (359)
LG-H-PPO: offline hierarchical PPO for robot path planning on a latent graph. [PDF]
Han X.
europepmc +1 more source
Data Structures and Algorithms for Counting Problems on Graphs using GPU
Amlan Chatterjee +2 more
openalex +2 more sources
This review explores functional and responsive materials for triboelectric nanogenerators (TENGs) in sustainable smart agriculture. It examines how particulate contamination and dirt affect charge transfer and efficiency. Environmental challenges and strategies to enhance durability and responsiveness are outlined, including active functional layers ...
Rafael R. A. Silva +9 more
wiley +1 more source
Artificial Neural Networks for Predicting Emissions from the Livestock Sector: A Review. [PDF]
Santoro LM +4 more
europepmc +1 more source
Unleashing the Power of Machine Learning in Nanomedicine Formulation Development
A random forest machine learning model is able to make predictions on nanoparticle attributes of different nanomedicines (i.e. lipid nanoparticles, liposomes, or PLGA nanoparticles) based on microfluidic formulation parameters. Machine learning models are based on a database of nanoparticle formulations, and models are able to generate unique solutions
Thomas L. Moore +7 more
wiley +1 more source
Comparison of organ volumes and standardized uptake values in [18F]FDG-PET/CT images using MOOSE and TotalSegmentator to segment CT images. [PDF]
Auriac J +9 more
europepmc +1 more source
An Efficient Data Structure and Algorithm for Long-Match Query in Run-Length Compressed BWT [PDF]
Sanaullah, Ahsan +2 more
openalex +1 more source
This study investigates electromechanical PUFs that improve on traditional electric PUFs. The electron transport materials are coated randomly through selective ligand exchange. It produces multiple keys and a key with motion dependent on percolation and strain, and approaches almost ideal inter‐ and intra‐hamming distances.
Seungshin Lim +7 more
wiley +1 more source
Graph embedding based label propagation for community detection in social networks. [PDF]
Meena SS, Sharma PC, Singh YP, Singh MP.
europepmc +1 more source

