Introduction: Due to the small size of citrus stems, their color similarity to the background, and their variable position relative to the fruit, accurately locating picking points using robots in ...
Introduction: Pore space in tight sandstone formation is very complex with micro-scale and nano-scale pores/throats, the multi-scale characteristics needs to be considered for the construction of ...
ABSTRACT: Clustering is an unsupervised machine learning technique used to organize unlabeled data into groups based on similarity. This paper applies the K-means and Fuzzy C-means clustering ...
- en: 来源：[https://ar5iv.labs.arxiv.org/html/2001.05566](https://ar5iv.labs.arxiv.org/html/2001.05566) applications such as scene understanding, medical image ...
Abstract: The semi-supervised fuzzy C-means clustering algorithm is an improved version of the fuzzy C-means algorithm, designed to utilize a small amount of supervised information to enhance the ...
The manuscript introduces an important and innovative non-AI computational method for segmenting noisy grayscale images, with a particular focus on identifying immunostained potassium ion channel ...
Human nature craves connection, so much so that we seek it almost everywhere we can find it – at social events, in our jobs, and now online in micro-communities. The desire to feel camaraderie and a ...
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