Results 11 to 20 of about 2,461,683 (278)
Classification via an Embedded Approach [PDF]
Designs, 2017 This paper presents the results of an automated volatile organic compound (VOC) classification process implemented by embedding a machine learning algorithm into an Arduino Uno board.José de Jesús Rubio, Francisco Jacob Avila, Adolfo Meléndez, Juan Manuel Stein, Jesús Alberto Meda, Carlos Aguilar +5 moredoaj +2 more sourcesClassifiers With a Reject Option for Early Time-Series Classification [PDF]
Computational Intelligence and Ensemble Learning (CIEL), IEEE
Symposium on, 9-16, 2013, 2013 Early classification of time-series data in a dynamic environment is a
challenging problem of great importance in signal processing. This paper
proposes a classifier architecture with a reject option capable of online
decision making without the need to ...Chira, Camelia, Hatami, Nimacore +2 more sourcesAdvances in Electronic-Nose Technologies Developed for Biomedical Applications [PDF]
Sensors, 2011 The research and development of new electronic-nose applications in the biomedical field has accelerated at a phenomenal rate over the past 25 years.Aathithan, Abbod, Abbott, Abliz, Abramowsky, Adams, Adewale, Adley, Agasti, Allard, Alphus D. Wilson, Amann, Amft, Anglin, Anstey, Aponte, Archer, Aronson, Arora, Arshak, Baby, Baietto, Bailey, Balint, Banerjee, Bashir, Bastos, Baum, Bechi, Benjamin, Bergogne-Berenzin, Bergogne-Berenzin, Bernabei, Biddiss, Blazer, Bohannon, Boilot, Bondy, Borrill, Bourguignon, Brown, Bruins, Brunner, Bruno, Buchnan, Burkholder, Byun, Campagnoli, Canhoto, Canhoto, Cao, Carlquist, Carpagnano, Carpagnano, Casalinuovo, Casalinuovo, Castillo, Chandiok, Chang, Chang-Yen, Charaklias, Cheli, Chen, Chen, Chen, Chen, Cheng, Cheng, Cheng, Chernish, Chiarini, Cho, Coenye, Coloe, Comini, Conant, Cone, Corradi, Corradi, Cortez, Cox, Cruz, Dainty, Daughaday, Davies, Dawson, de Hoog, De Lacy Costello, Dean, Di Natale, Di Natale, Di Natale, Di Natale, Di Salvo, Diskin, Distelheim, Dittmar, Dobbelaar, Dorsey, Dragonieri, Dragonieri, Dutta, Dutta, Dutta, Dzyadevych, D’Amico, D’Amico, D’Amico, D’Orazio, D’Souza, Ellis, Emmons, Emmons, Epstein, Falasconi, Fend, Fend, Fens, Filipiak, Filippini, Fine, Fitzgerald, Fleischer, Foster, Gallois, Gardner, Gardner, Gardner, Garner, Garner, Garthwaite, Gawel, Gelderblom, Gendron, Gibson, Gilligan, Giordano, Goldberg, Golding, Goldmann, Gomila, Gordon, Gordon, Goschnick, Grametbauer, Green, Greenwood, Groenewald, Guernion, Guiseppi-Elie, Guo, Gutmann, Halde, Hanson, Hanson, Hanstein, Hartings, Hay, Hayden, Hayward, Hayward, He, Hedayati, Hildebrandt, Hiroshi, Hisamura, Hockstein, Hockstein, Holdeman, Holzegel, Hong, Horvath, Horvath, Huang, Hubalek, Humad, Irschik, Irudayaraj, Isles, Ito, Ivnitski, Iwaki, Jagirdar, Jamal, Jamda-Ulfig, Jellum, Jiang, Jin, Jo-Il, Joffe, Johnston, Joly-Guillou, Jordá-Vargas, Kaittanis, Kaji, Kaji, Karl, Kateb, Keele, Keller, Keshri, Keshri, Keshri, Kharitonov, Kharitonov, Kiehn, Ko, Koch, Kodogiannis, Kodogiannis, Kodogiannis, Koenig, Kokoszka, Kostele, Kostikas, Kostikas, Koufopanou, Kulakov, Labows, Labows, Lai, Larsson, Lee, Lee, Lee, Lee, Lee, Lee, Leisinger, Lettéron, Levine, Liddell, Liddell, Liddell, Lieberman, Liebig, Likhodii, Lin, LiPuma, Lisboa, Liu, Liu, Liu, Logrieco, Logrieco, Looney, Lord, Lundquist, Lundquist, Lykos, Maalouf, Machado, Machado, Magan, Mahenthiralingam, Mahenthiralingam, Mahenthiralingam, Mahmoudi, Makino, Manolis, Manuela Baietto, Manulis, Mariat, Matsumota, Mattoli, Mayakova, McBryde, McCulloch, McEntegart, Meier, Milne, Minna, Moens, Moens, Mohamed, Monier, Montuschi, Montuschi, Moore, Moreno-Barón, Morgan, Moriarty, Morris, Moser, Moser, Mottram, Murphy, Mutton, Najarian, Netzer, Nonaka, Novak, Nóbrega, Obare, Olopade, Olsson, Omelianski, Ondrula, O’Donnell, O’Neil, Pan, Paolesse, Paredi, Parry, Parry, Patel, Pauling, Pavlou, Pavlou, Pavlou, Pavlou, Pavlou, Payne, Pebay-Peyroula, Pedrero, Pelli, Pelosi, Pennazza, Persaud, Persaud, Persaud, Persaud, Persaud, Peterson, Phillips, Phillips, Phillips, Phillips, Phillips, Phillips, Phillips, Phillips, Phillips, Phillips, Pickel, Ping, Poghossian, Polakoff, Poli, Porter, Posthuma-Trumpie, Poyard, Probert, Prost, Qureshi, Radler, Rahman, Rahman, Rahme, Rheeder, Riley, Rimeika, Roberts, Roller, Roller, Romanelli, Roscioni, Rosenkranz, Ruffini, Ryan, Salanitre, Salas, Sankaran, Santra, Saraoğlu, Saraoğlu, Schiffman, Schmidt, Sedghi, Shin, Shoji, Shykhon, Sidbury, Silo-Suh, Simenhoff, Simon, Siripatrawan, Skeldon, Skrupskii, Smith, Smith, Smith, Smith, Smith, Smith, Smith, Smith, Smith, Smith, Socolowsky, Sohn, Spanel, Spanel, Stewart, Stierstorfer, Studer, Summerbell, Tanaka, Tanaka, Tangerman, Taylor, Teshima, Thaler, Thaler, Thaler, Thanyani, Tian, Tothill, Triebig, Turiansky, Turner, Urdea, Vaira, Vaishnav, van Beurden, van Beurden, Van den Velde, Van den Velde, Vandamme, Vaneechoutte, Veglia, Verghese, Vitenberg, Vivanti, Vockley, Voinova, Voss, Walburn, Wang, Wang, Wang, Wang, Wells, Williams, Williams, Willis, Wilson, Wilson, Wilson, Wilson, Wilson, Winquist, Wongchoosuk, Woodman, Wyszynski, Xu, Xu, Xue, Yabuuchi, Yamada, Yao, Yates, Yegres, Yoo, Young, Young, Yu, Zechman, Zhang, Zhang, Zhang, Zhang, Zheng, Zhu, Ziegler, Zlatkis +465 morecore +7 more sourcesRelationship of electronic nose analyses and sensory evaluation of vegetable oils during storage [PDF]
, 2001 Off-flavors associated with oxidized oils make it difficult to recruit sensory panelists to evaluate the oils. Using an instrument called the “electronic nose” to monitor the formation of volatile compounds associated with off-flavors could help to ...Duvick, Susan, Moizuddin, S., Pollak, Linda, Shen, N., White, Pamela, White, Pamela, Wilson, L. +6 morecore +5 more sourcesArtificial Odor Discrimination System using electronic nose and neural networks for the identification of urinary tract infection [PDF]
, 2008 Current clinical diagnostics are based on biochemical, immunological or microbiological methods. However, these methods are operator dependent, time consuming, expensive and require special skills, and are therefore not suitable for point-of-care testing.Chowdrey, H.S., Chowdrey, H.S., Kodogiannis, V., Kodogiannis, V., Lygouras, J.N., Lygouras, J.N., Tarczynski, A., Tarczynski, A. +7 morecore +2 more sourcesEnvironmental Engineering Applications of Electronic Nose Systems Based on MOX Gas Sensors
Italian National Conference on Sensors, 2023 Nowadays, the electronic nose (e-nose) has gained a huge amount of attention due to its ability to detect and differentiate mixtures of various gases and odors using a limited number of sensors.Ali Khorramifar, H. Karami, L. Lvova, A. Kolouri, Ewa Lazuka, Magdalena Piłat-Rożek, G. Lagód, Jose Ramos, J. Lozano, Mohammad Kaveh, Yousef Darvishi +10 moresemanticscholar +1 more sourceApplications of Electronic Nose, Electronic Eye and Electronic Tongue in Quality, Safety and Shelf Life of Meat and Meat Products: A Review
Italian National Conference on Sensors, 2023 The quality and shelf life of meat and meat products are key factors that are usually evaluated by complex and laborious protocols and intricate sensory methods.P. E. Munekata, Sarah Finardi, C. K. de Souza, Caroline Meinert, M. Pateiro, T. Hoffmann, Rubén Domínguez, S. Bertoli, Manoj Kumar, J. Lorenzo +9 moresemanticscholar +1 more source
