Risk assessment of water pollution sources based on an integrated k-means clustering and set pair analysis method in the region of Shiyan, China
C Li, L Sun, J Jia, Y Cai, X Wang - Science of the total environment, 2016 - Elsevier
Source water areas are facing many potential water pollution risks. Risk assessment is an
effective method to evaluate such risks. In this paper an integrated model based on k-means …
effective method to evaluate such risks. In this paper an integrated model based on k-means …
Identifying the influence of natural and human factors on seasonal water quality in China: Current situation of China's water environment and policy impact
J Shi - Environmental Science and Pollution Research, 2023 - Springer
Agricultural production, urbanization, and other anthropogenic activities, the major causes of
surface water pollution in China, have dramatically altered hydrological processes and …
surface water pollution in China, have dramatically altered hydrological processes and …
Federated momentum contrastive clustering
Self-supervised representation learning and deep clustering are mutually beneficial to learn
high-quality representations and cluster data simultaneously in centralized settings …
high-quality representations and cluster data simultaneously in centralized settings …
Contrastive and Non-Contrastive Strategies for Federated Self-Supervised Representation Learning and Deep Clustering
We investigate federated self-supervised representation learning (FedSSRL) and federated
clustering (FedCl), aiming to derive low-dimensional representations of datasets distributed …
clustering (FedCl), aiming to derive low-dimensional representations of datasets distributed …
[PDF][PDF] A survey and systematic categorization of parallel k-means and fuzzy-c-means algorithms
Parallel processing has turned into one of the emerging fields of machine learning due to
providing consistent work by performing several tasks simultaneously, enhancing reliability …
providing consistent work by performing several tasks simultaneously, enhancing reliability …
A Surrogate Water Quality Index to assess groundwater using a unified DEA-OWA framework
In this paper, we introduce a new approach, based on a unified framework incorporating
Data Envelopment Analysis (DEA) and Ordered Weighted Averaging (OWA), for assessing …
Data Envelopment Analysis (DEA) and Ordered Weighted Averaging (OWA), for assessing …
Digital image based segmentation and classification of tongue cancer using CNN
Due to the change in life style after covid-19 there is demand for non-invasive contact less
healthcare monitoring systems. In India oral cancer rate are increasing and becoming the …
healthcare monitoring systems. In India oral cancer rate are increasing and becoming the …
Differentially private federated clustering over non-IID data
In this article, we investigate the federated clustering (FedC) problem, which aims to
accurately partition unlabeled data samples distributed over massive clients into finite …
accurately partition unlabeled data samples distributed over massive clients into finite …
Federated matrix factorization: Algorithm design and application to data clustering
Recent demands on data privacy have called for federated learning (FL) as a new
distributed learning paradigm in massive and heterogeneous networks. Although many FL …
distributed learning paradigm in massive and heterogeneous networks. Although many FL …
[PDF][PDF] Human Activity Recognition Based on Parallel Approximation Kernel K-Means Algorithm.
Recently, owing to the capability of mobile and wearable devices to sense daily human
activity, human activity recognition (HAR) datasets have become a large-scale data …
activity, human activity recognition (HAR) datasets have become a large-scale data …