Results 121 to 130 of about 1,221,513 (328)

Disentangling the relationships between denomination of origin regulatory councils activities and Spanish wineries' export performance

Agribusiness, EarlyView.
Abstract World markets for quality differentiated agri‐food products are highly competitive, presenting significant challenges for firms aiming to compete effectively. Government agencies and business organizations often implement various export promotion policies to address these challenges.
Nicolás Depetris‐Chauvin, Marta Fernández‐Olmos   +1 more
wiley   +1 more source

Virtual Multi-view Fusion for 3D Semantic Segmentation [PDF]

arXiv, 2020
Semantic segmentation of 3D meshes is an important problem for 3D scene understanding. In this paper we revisit the classic multiview representation of 3D meshes and study several techniques that make them effective for 3D semantic segmentation of meshes.
arxiv  

Interactive Prompt‐Guided Robotic Grasping for Arbitrary Objects Based on Promptable Segment Anything Model and Force‐Closure Analysis

Advanced Intelligent Systems, Volume 7, Issue 3, March 2025.
A laser pointer‐guided robotic grasping method for arbitrary objects based on promptable segment anything model and force‐closure analysis is presented. Grasp generation methods based on force‐closure analysis can calculate the optimal grasps for objects through their appearances. However, the limited visual perception ability makes robots difficult to
Yan Liu, Yaxin Liu, Ruiqing Han, Kai Zheng, Yufeng Yao, Ming Zhong   +5 more
wiley   +1 more source

From Pixel to Patch: Synthesize Context-aware Features for Zero-shot Semantic Segmentation [PDF]

arXiv, 2020
Zero-shot learning has been actively studied for image classification task to relieve the burden of annotating image labels. Interestingly, semantic segmentation task requires more labor-intensive pixel-wise annotation, but zero-shot semantic segmentation has only attracted limited research interest.
arxiv  

Machine Learning‐Assisted Simulations and Predictions for Battery Interfaces

Advanced Intelligent Systems, EarlyView.
This review summarizes machine learning (ML)‐assisted simulations and predictions at battery interfaces. It highlights how employing ML algorithms with machine vision, enables the lithium dendrite growth simulation, the solid–electrolyte interphase formation, and other interfacial dynamics.
Zhaojun Sun, Xin Li, Yiming Wu, Qilin Gu, Shiyou Zheng   +4 more
wiley   +1 more source

Transferable Semi-supervised Semantic Segmentation

, 2018
The performance of deep learning based semantic segmentation models heavily depends on sufficient data with careful annotations. However, even the largest public datasets only provide samples with pixel-level annotations for rather limited semantic ...
Feng, Jiashi, Liu, Yu, Wei, Yunchao, Xiao, Huaxin, Zhang, Maojun   +4 more
core   +1 more source

π‐PhenoDrug: A Comprehensive Deep Learning‐Based Pipeline for Phenotypic Drug Screening in High‐Content Analysis

Advanced Intelligent Systems, EarlyView.
This study develops a deep learning‐based pipeline named π‐PhenoDrug for cell phenotype‐driven drug activity screening. π‐PhenoDrug integrates cell segmentation, morphological profile construction, and phenotype analysis modules, and it can assess drug effects on living cells in both supervised and unsupervised modes.
Xiao Li, Qinxue Ouyang, Mingfei Han, Xiaoqing Liu, Fuchu He, Yunping Zhu, Ling Leng, Jie Ma   +7 more
wiley   +1 more source

Co‐producing an inclusive‐care model for young people transitioning from adolescent eating disorder services to adult care: A qualitative study protocol for Transition for Eating Disorder Youth intervention

European Eating Disorders Review, EarlyView., 2023
Abstract Eating disorders (EDs) present a chronic issue to child paediatric mental health services due to their high mortality and relapse rates. The transition from Child and Adolescent Mental Health Services to Adult Mental Health Services is a particularly high‐risk period for young people with EDs given their high vulnerability to change, which can
Maria Livanou, Anya Heneghan, Elli Bouliou, Grace Hill, Katharine Mills, Sophie Naylor Roll, Zara Smalley, Jun Teh, Janet Treasure   +8 more
wiley   +1 more source

Phenobot: An Autodigital Modeling System for in situ Phenotyping in Horticulture

Advanced Intelligent Systems, EarlyView.
This study introduces a robotic phenotyping system for precision agriculture, integrating environmental understanding, motion planning, and in situ plant phenotyping. The system autonomously navigates through real‐world agricultural environments, collects high‐quality plant data, and reconstructs accurate 3D plant models. Results demonstrate the system'
Kewei Hu, Yaoqiang Pan, Tianhao Liu, Hugh Zhou, Chao Chen, Hanwen Kang   +5 more
wiley   +1 more source

A Shared Control Method of Multiobjective Motion Fusion for Surgical Robot

Advanced Intelligent Systems, EarlyView.
This paper proposes an innovative shared control method that can handle multiple objectives task by integrating various types of controllers. It not only takes into account the priorities among the objectives but also allows for the flexible addition or removal of objective controllers.
Xilin Xiao, Xiaojian Li, Hangjie Mo, Yudong Shi, Jing Fang, Ling Li, Bo Ouyang, Shanlin Yang   +7 more
wiley   +1 more source