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Ryota Higashimoto, Soh Yoshida and Mitsuji Muneyasu
This paper addresses the performance degradation of deep neural networks caused by learning with noisy labels. Recent research on this topic has exploited the memorization effect: networks fit data with clean labels during the early stages of learning an...
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Ping-Chang Tsai, Yu-Min Hsueh, Chang-Kuo Chen and Cheng-Chien Kuo
Partial discharge (PD) characteristics are very important for the diagnosis of damaged transformation equipment. If the power transmission and transformation equipment fails, it will cause large economic losses, and thus prevention is better than treatme...
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Haobin Wen, Long Zhang and Jyoti K. Sinha
On top of the condition-based maintenance (CBM) practice for rotating machinery, the robust estimation of remaining useful life (RUL) for rolling-element bearings (REB) is of particular interest. The failure of a single bearing often results in secondary...
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Isabela M. Dias, Lucas C. Mourão, Guilherme B. M. De Souza, Jose M. Abelleira-Pereira, Julles M. Dos Santos-Junior, Antônio C. D. De Freitas, Lucio Cardozo-Filho, Christian G. Alonso and Reginaldo Guirardello
Pharmaceutical pollutants are considered emerging contaminants, representing a significant concern to the ecosystem. Thus, this study reports on the degradation of antihypertensive and cardiovascular drugs (atenolol, captopril, propranolol hydrochloride,...
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Majid Niazkar, Margherita Evangelisti, Cosimo Peruzzi, Andrea Galli, Marco Maglionico and Daniele Masseroni
The first flush (FF) phenomenon is commonly associated with a relevant load of pollutants, raising concerns about water quality and environmental management in agro-urban areas. An FF event can potentially transport contaminated water into a receiving wa...
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