Results 1 to 10 of about 65,376 (256)

EMDS-6: Environmental Microorganism Image Dataset Sixth Version for Image Denoising, Segmentation, Feature Extraction, Classification, and Detection Method Evaluation [PDF]

Frontiers in Microbiology, 2022
Environmental microorganisms (EMs) are ubiquitous around us and have an important impact on the survival and development of human society. However, the high standards and strict requirements for the preparation of environmental microorganism (EM) data ...
Peng Zhao, Chen Li, Md Mamunur Rahaman, Md Mamunur Rahaman, Hao Xu, Pingli Ma, Hechen Yang, Hongzan Sun, Tao Jiang, Ning Xu, Marcin Grzegorzek   +10 more
doaj   +4 more sources

EMDS-7: Environmental microorganism image dataset seventh version for multiple object detection evaluation [PDF]

Frontiers in Microbiology, 2023
Nowadays, the detection of environmental microorganism indicators is essential for us to assess the degree of pollution, but the traditional detection methods consume a lot of manpower and material resources.
Hechen Yang, Chen Li, Xin Zhao, Bencheng Cai, Jiawei Zhang, Pingli Ma, Peng Zhao, Ao Chen, Tao Jiang, Tao Jiang, Hongzan Sun, Yueyang Teng, Shouliang Qi, Xinyu Huang, Marcin Grzegorzek, Marcin Grzegorzek   +15 more
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A Comparative Study of Deep Learning Classification Methods on a Small Environmental Microorganism Image Dataset (EMDS-6): From Convolutional Neural Networks to Visual Transformers [PDF]

Frontiers in Microbiology, 2022
In recent years, deep learning has made brilliant achievements in Environmental Microorganism (EM) image classification. However, image classification of small EM datasets has still not obtained good research results. Therefore, researchers need to spend
Peng Zhao, Chen Li, Md Mamunur Rahaman, Hao Xu, Hechen Yang, Hongzan Sun, Tao Jiang, Marcin Grzegorzek   +7 more
doaj   +2 more sources

EMDS-7-FSCIL: a benchmark for Few-Shot Class-Incremental Learning in environmental microorganism recognition [PDF]

Frontiers in Microbiology
Deep learning–based environmental microorganism recognition in a dynamic world demands models capable of recognizing novel classes in new tasks. However, it is hindered by data scarcity, high annotation costs, and the plasticity–stability dilemma.
Jinyi Zhou, Yinuo Zhang, Sihang Xu, Yangfan Hu, Jinhui Zeng, Yimin Yin   +5 more
doaj   +2 more sources

The virus removal in UV irradiation, ozonation and chlorination

Water Cycle, 2021
The COVID-19 pandemic draws much attention to virus inactivation since the SARS-CoV-2 was detected in miscellaneous environments and the wastewater can be a potential transmitting pathway.
Jiayang Kong, Yun Lu, Yunru Ren, Zhuo Chen, Menghao Chen   +4 more
doaj   +1 more source

Biofouling characteristics of reverse osmosis membranes by disinfection-residual-bacteria post seven water disinfection techniques

npj Clean Water, 2023
Reverse osmosis (RO) is widely used in wastewater reclamation to alleviate the increasingly global water shortage. However, it has an inconvenient defect of biofouling.
Hao-Bin Wang, Yin-Hu Wu, Wen-Long Wang, Li-Wei Luo, Gen-Qiang Chen, Zhuo Chen, Song Xue, Ao Xu, Yu-Qing Xu, Nozomu Ikuno, Kazuki Ishii, Hong-Ying Hu   +11 more
doaj   +1 more source

Characterization of bacterial fluorescence: insight into rapid detection of bacteria in water

Water Reuse, 2021
Microbial contamination is one of the main risks affecting water safety. Traditional microbial detection methods tend to be time-consuming and labor-intensive.
Yu Mao, Xiao-Wen Chen, Zhuo Chen, Gen-Qiang Chen, Yun Lu, Yin-Hu Wu, Hong-Ying Hu   +6 more
doaj   +1 more source

A three-branch 3D convolutional neural network for EEG-based different hand movement stages classification

Scientific Reports, 2021
Motor Imagery is a classical method of Brain Computer Interaction, in which electroencephalogram (EEG) signal features evoked by the imaginary body movements are recognized, and relevant information is extracted.
Tianjun Liu, Deling Yang
doaj   +1 more source

Effects of Nano-Scale Zero Valent Iron Fresh and Aged Particles on Environmental Microbes

Environment and Natural Resources Journal, 2021
Currently, nano-scale zero valent iron particles (nZVI) are being increasingly used in many types of environmental remediation. Due to their usage, nZVI can be left in the environment and may cause toxic effects to living beings, especially surrounding ...
Papitcha Jongwachirachai, Pijit Jiemvarangkul   +1 more
doaj   +1 more source

Occurrence of PFASs and its effect on soil bacteria at a fire-training area using PFOS-restricted aqueous film-forming foams

iScience, 2022
Summary: Fire-training areas (FTAs) are an important source of perfluoroalkyl and polyfluoroalkyl substances (PFASs) pollution. However, the effect of PFASs on soil bacterial communities remains limited.
Lifeng Cao, Wenxin Xu, Ziren Wan, Guanghe Li, Fang Zhang   +4 more
doaj   +1 more source