Sampling-Based Path Planning Algorithm for a Plug & Produce Environment
The purpose of this article is to investigate a suitable path planning algorithm for a multi-agent-based Plug & Produce system that can run online during manufacturing. This is needed since in such systems, resources can move around frequently, making it
Sudha Ramasamy +3 more
doaj +6 more sources
Analyses of Sampling Disturbance of the Lunar Surface in Direct Push Sampling Method
The study of direct push sampling characteristics forms the theoretical basis for deep sampling tool design. In this paper, a ground test of the direct push sampling was carried out to analyze three influencing factors: tube diameter; friction ...
Dewei Tang +4 more
doaj +3 more sources
A novel method for precise endoscopic sampling of duodenal microbiota [PDF]
BackgroundPrevious studies have established a relationship between duodenal mucosa-associated microbiota and overall health. However, sampling duodenal microbiota is technically challenging.
Taotao Wei +3 more
doaj +2 more sources
Inhaled N‐Acetylcysteine as a Potential Adjunctive Therapy in Mucus Plug‐Forming Asthma With Irpex lacteus Isolation: A Case Report [PDF]
A 68‐year‐old woman was hospitalized for hypoxemia during an asthma exacerbation with cough, highly tenacious sputum and exertional dyspnoea. Chest computed tomography revealed lower lobe–dominant mucus plugs.
Yuka Uchida +5 more
doaj +2 more sources
Simulation-Driven Annotation-Free Deep Learning for Automated Detection and Segmentation of Airway Mucus Plugs on Non-Contrast CT Images [PDF]
Mucus plugs are airway-obstructing accumulations of inspissated secretions frequently observed in obstructive lung diseases (OLDs), including chronic obstructive pulmonary disease (COPD), severe asthma, and cystic fibrosis.
Lucy Pu +6 more
doaj +2 more sources
Automatic Identification Method of Tooth Impaction Based on Deep Learning [PDF]
Food impaction is a common oral symptom, which easily causes oral problems, such as local gingival redness, pus overflow, and dental caries, bringing great pain and inconvenience to patients.At present, automatically screening impacted teeth in clinics ...
WANG Zhijiang, QIN Pinle, CHAI Rui, WU Feng, CHENG Yitong, SHI Yue
doaj +1 more source
Likelihood-Based Finite Sample Inference for Synthetic Data from Pareto Model
Statistical agencies often publish microdata or synthetic data to protect confidentiality of survey respondents. This is more prevalent in case of income data.
Nutan Mishra , Sandip Barui
doaj +1 more source
Clastic reservoir core is routinely characterized using conventional, destructive spot sampling techniques. Whilst spot sampling provides useful textural and compositional information, the samples are typically widely spaced (∼ 25 cm), and hence ...
Arif Hussain, Khalid Al-Ramadan
doaj +1 more source
In recent years, the aging of the rural population worldwide has become a major concern, necessitating the development of agricultural automation. Pneumatic energy has emerged as a reliable and environmentally friendly option, aiding in the global effort
Hao-Ting Lin, Yu-Hsien Lee
doaj +1 more source
Plug-and-Play ADMM for MRI Reconstruction With Convex Nonconvex Sparse Regularization
Traditional $\ell _{1}$ -regularized compressed sensing magnetic resonance imaging (CS-MRI) model tends to underestimate the fine textures and edges of the MR image, which play important roles in clinical diagnosis.
Jincheng Li +3 more
doaj +1 more source

