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Youngkwang Kim, Woochan Kim, Jungwoo Yoon, Sangkug Chung and Daegeun Kim
This paper presents a practical contamination detection system for camera lenses using image analysis with deep learning. The proposed system can detect contamination in camera digital images through contamination learning utilizing deep learning, and it...
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Jianlei Qiao, Yonglu Lv, Yucai Feng, Chang Liu, Yi Zhang, Jinying Li, Shuang Liu and Xiaohui Weng
At present, the electronic nose has became a new technology for the rapid detection of pesticides. However, the technique may misidentify them for samples that have not been involved in training. Therefore, a hybrid model based on unsupervised and superv...
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Lev Utkin, Andrey Ageev, Andrei Konstantinov and Vladimir Muliukha
A new modification of the isolation forest called the attention-based isolation forest (ABIForest) is proposed for solving the anomaly detection problem. It incorporates an attention mechanism in the form of Nadaraya?Watson regression into the isolation ...
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Magdalena Fabin, Mieczyslaw Lapkowski and Tomasz Jarosz
Nitroaromatic compounds in general and 2,4,6-trinitrophenol (picric acid) in particular have recently attracted significant research attention as environmental contaminants. This spurred a wave of development regarding the methods of detecting these comp...
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Caiyan Wang, Yang Xia, Yunfei Liu, Chen Kang, Nan Lu, Di Tian, Hui Lu, Fuhai Han, Jian Xu and Tetsuya Yomo
Contaminations frequently occur in bacterial cultures, which significantly affect the reproducibility and reliability of the results from whole-genome sequencing (WGS). Decontaminated WGS data with clean reads is the only desirable source for detecting p...
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Asia A. M. Saadullah, Samir K. Abdullah
Pág. 1 - 8
Introduction: Dried vine fruits (raisins) and their juice are widely consumed by human as a diet. Raisins have been shown highly contaminated with ochratoxin A (OTA) and OTA-producing fungi. Ochratoxin A is a potent nephrotoxic and carcinogen to human an...
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Han Che, Shuming Liu and Kate Smith
In this approach, a method utilizing data series from multivariate parameters to detect contaminant events is discussed and evaluated. Eight water quality sensors (pH, turbidity, conductivity, temperature, oxidation reduction potential, UV-254, nitrate a...
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Kamil Stelmaszczyk, Ewelina Karpierz-Marczewska, Valeri Mikhnev, Grzegorz Cywinski, Thomas Skotnicki and Wojciech Knap
Fast (picoseconds scale) and sensitive (ppm-level) detection of impurities in gasoline employing terahertz time-domain spectroscopy systems (THz-TDS) for petrochem-ical production lines or quality assessment and control facilities.
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Jie Yu, Le Xu, Xiang Xie, Dibo Hou, Pingjie Huang, Guangxin Zhang and Hongjian Zhang
As a core part of protecting water quality safety in water distribution systems, contamination event detection requires high accuracy. Previously, temporal analysis-based methods for single sensor stations have shown limited performance as they fail to c...
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Jie Yu, Le Xu, Xiang Xie, Dibo Hou, Pingjie Huang, Guangxin Zhang and Hongjian Zhang
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Ingun Tryland, Henrik Braathen, Aina C. Wennberg, Fasil Eregno, Anna-Lena Beschorner
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Simple, automated methods are required for rapid detection of wastewater contamination in urban recreational water. The activity of the enzyme ß-d-galactosidase (GAL) can rapidly (<2 h) be measured by field instruments, or a fully automated instrument, a...
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Han Che, Shuming Liu and Kate Smith
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Takashi Ando
For engines operating using heavy fuel oil (HFO), the nozzle rings of turbocharger turbines are prone to severe degradation because of contamination with unburned fuel deposits. This contamination may lead to increased excitation of blade resonance. A pr...
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Marta Belchior Lopes, Ana Amorim, Cecília Calado and Pedro Reis Costa
Harmful algal blooms are responsible worldwide for the contamination of fishery resources, with potential impacts on seafood safety and public health. Most coastal countries rely on an intense monitoring program for the surveillance of toxic algae occurr...
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Fang Yee Lim, Say Leong Ong and Jiangyong Hu
There has been increasing research focus on the detection and occurrence of wastewater contamination in aquatic environment. Wastewater treatment plants receive effluents containing various chemical pollutants. These chemicals may not be fully removed du...
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Xiaochao Tang, Po-Yen Wang and Gabrielle Buchter
Despite the fact that the adverse health effects due to the intake of lead have been well studied and widely recognized, lead contamination in drinking water has been reoccurring worldwide, with some incidents escalating into a public drinking water cris...
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Xiaochao Tang, Po-Yen Wang and Gabrielle Buchter
Despite the fact that the adverse health effects due to the intake of lead have been well studied and widely recognized, lead contamination in drinking water has been reoccurring worldwide, with some incidents escalating into a public drinking water cris...
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Mitsunori Odagiri, Alexander Schriewer, Miles E. Daniels, Stefan Wuertz, ... Marion W. Jenkins
Pág. 232 - 244
Efforts to eradicate open defecation and improve sanitation access are unlikely to achieve health benefits unless interventions reduce microbial exposures. This study assessed human fecal contamination and pathogen exposures in rural India, and the effec...
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Daniel Barros, Isabela Almeida, Ariele Zanfei, Gustavo Meirelles, Edevar Luvizotto, Jr. and Bruno Brentan
Leakages in distribution networks reach more than 30% of the water supplied, entailing important risks for the water infrastructure with water contamination issues. Therefore, it is necessary to develop new methods to mitigate the amount of water wastes....
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Carlo Ciaponi, Enrico Creaco, Armando Di Nardo, Michele Di Natale, Carlo Giudicianni, Dino Musmarra and Giovanni Francesco Santonastaso
This paper proposes a combined management strategy for monitoring water distribution networks (WDNs). This strategy is based on the application of water network partitioning (WNP) for the creation of district metered areas (DMAs) and on the installation ...
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