Results 121 to 130 of about 1,407,468 (324)
Vision‐Assisted Avocado Harvesting with Aerial Bimanual Manipulation
This work outlines the design and implementation of a bimanual aerial robot that employs visual perception and learning to detect, reach, and harvest avocados. A new gripper and fixer arm assembly is used to harvest avocados, while visual perception enables the detection of avocados and estimation of their position and orientation for determining ...
Zhichao Liu +3 more
wiley +1 more source
This study analyses the uncertainty and variability existing in the economic performance of polylactic acid (PLA) production, via integrating techno‐economic analysis with process models and Monte Carlo simulation enabled by artificial intelligence. The results show that the minimum selling price varies from $2,107 to $3076/t PLA.
Yinqiao Wang +5 more
wiley +1 more source
Decoding Human Placental Cellular and Molecular Responses to Obesity and Fetal Growth
Women with obesity often deliver large‐for‐gestational‐age (LGA) infants. Single‐nucleus RNA sequencing of term placenta reveals that hypoxia and TNF‐α signaling in syncytiotrophoblasts are featured in maternal obesity, but inflammatory signatures in Hofbauer cells and response to lipid or carbohydrate metabolism in fibroblasts are specific to LGA.
Hong Jiang +12 more
wiley +1 more source
The HelMod Monte Carlo Model for the Propagation of Cosmic Rays in Heliosphere [PDF]
Matteo J. Boschini +8 more
openalex +1 more source
A Self‐Organized Liquid Reaction Container for Cellular Memory
How cells restore epigenetic information lost during replication is not known. This work proposes a mechanism based on the formation of biomolecular condensates. These condensates are induced by the chromosome itself and serve as reaction vessels for reconstructing missing epigenetic markers.
Sukanta Mukherjee +4 more
wiley +1 more source
Monte Carlo simulations of bosonic reaction-diffusion systems and comparison to Langevin equation description [PDF]
Su-Chan Park
openalex +1 more source
This study proposes a degradation estimation technique to explicitly describe compressive sampling for low‐sampling Hadamard single‐pixel imaging. Blur kernels in explicit degradation models are estimated by the self‐supervised learning method without labeled data and implicit priors.
Haoyu Zhang +4 more
wiley +1 more source
Identifying disease‐causing genes in neurocognitive disorders remains challenging due to variants of uncertain significance. CLinNET employs dual‐branch neural networks integrating Reactome pathways and Gene Ontology terms to provide pathway‐level interpretability of genomic alterations.
Ivan Bakhshayeshi +5 more
wiley +1 more source
Monte Carlo simulations for BNL RHIC spin physics [PDF]
Stefan Güllenstern +3 more
openalex +1 more source

