Browsing by Subject "Forecasting"

Now showing items 21-40 of 40

    • Article  

      Integration and use of diesel engine, driveline and vehicle dynamics models for heavy duty truck simulation 

      Assanis, D.; Bryzik, W.; Chalhoub, N.; Filipi, Z.; Henein, N.; Jung, D.; Liu, X.; Louca, Loucas S.; Moskwa, J.; Munns, S.; Overholt, J.; Papalambros, P.; Riley, S.; Rubin, Z.; Sendur, P.; Stein, J.; Zhang, G. (1999)
      An integrated vehicle system simulation has been developed to take advantage of advances in physical process and component models, flexibility of graphical programming environments (such as MATLAB-SIMULINK), and ever ...
    • Conference Object  

      Intelligent driver assist system for urban driving 

      Ioannou, Petros A.; Zhang, Y. (Institute of Electrical and Electronics Engineers Inc., 2016)
      Driving in an urban environment is hectic and often adventurous. Getting accurate routing instructions, finding parking spots, receiving customized information that helps individual drivers reach their destination will ...
    • Conference Object  

      Intelligent parking assist 

      Rajabioun, T.; Foster, B.; Ioannou, Petros A. (2013)
      In this paper a new parking guiding and information system is described. The system assists the user to find the most suitable parking space based on his/her preferences and learned behavior. The system takes into account ...
    • Article  

      Measurement of the kT distribution of particles in jets produced in pp̄ collisions at s=1.96TeV 

      Aaltonen, T.; Adelman, J.; Akimoto, T.; Ãlvarez Gonzãlez, B.; Amerio, S.; Amidei, D.; Anastassov, A.; Annovi, A.; Antos, J.; Apollinari, G.; Apresyan, A.; Arisawa, T.; Artikov, A.; Ashmanskas, W.; Attal, A.; Aurisano, A.; Azfar, F.; Azzurri, P.; Badgett, W.; Barbaro-Galtieri, A.; Barnes, V. E.; Barnett, B. A.; Bartsch, V.; Bauer, G.; Beauchemin, P. -H; Bedeschi, F.; Beecher, D.; Behari, S.; Bellettini, G.; Bellinger, J.; Benjamin, D.; Beretvas, Andrew; Beringer, J.; Bhatti, A.; Binkley, M.; Bisello, D.; Bizjak, I.; Blair, R. E.; Blocker, C.; Blumenfeld, B.; Bocci, A.; Bodek, A.; Boisvert, V.; Bolla, G.; Bortoletto, D.; Boudreau, J.; Boveia, A.; Brau, B.; Bridgeman, A.; Brigliadori, L.; Bromberg, C.; Brubaker, E.; Budagov, J.; Budd, H. S.; Budd, S.; Burke, S.; Burkett, K.; Busetto, G.; Bussey, P.; Buzatu, A.; Byrum, K. L.; Cabrera, S.; Calancha, C.; Campanelli, M.; Campbell, M.; Canelli, Florencia M.; Canepa, A.; Carls, B.; Carlsmith, D.; Carosi, R.; Carrillo, S.; Carron, S.; Casal, B.; Casarsa, M.; Castro, A.; Catastini, P.; Cauz, D.; Cavaliere, V.; Cavalli-Sforza, M.; Cerri, A.; Cerrito, L.; Chang, S. H.; Chen, Y. C.; Chertok, M.; Chiarelli, G.; Chlachidze, G.; Chlebana, F.; Cho, K.; Chokheli, D.; Chou, J. P.; Choudalakis, G.; Chuang, S. H.; Chung, K.; Chung, W. H.; Chung, Y. S.; Chwalek, T.; Ciobanu, C. I.; Ciocci, M. A.; Clark, A.; Clark, D.; Compostella, G.; Convery, M. E.; Conway, J.; Cordelli, M.; Cortiana, G.; Cox, C. A.; Cox, D. J.; Crescioli, F.; Cuenca Almenar, C.; Cuevas, J.; Culbertson, R.; Cully, J. C.; Dagenhart, D.; Datta, M.; Davies, T.; De Barbaro, P.; De Cecco, S.; Deisher, A.; De Lorenzo, G.; Dell'Orso, M.; Deluca, C.; Demortier, L.; Deng, J.; Deninno, M.; Derwent, P. F.; Di Giovanni, G. P.; Dionisi, Carlo; Di Ruzza, B.; Dittmann, J. R.; D'Onofrio, M.; Donati, S.; Dong, P.; Donini, J.; Dorigo, T.; Dube, S.; Efron, J.; Elagin, A.; Erbacher, R.; Errede, D.; Errede, S.; Eusebi, R.; Fang, H. C.; Farrington, S.; Fedorko, W. T.; Feild, R. G.; Feindt, M.; Fernandez, J. P.; Ferrazza, C.; Field, R.; Flanagan, G.; Forrest, R.; Frank, M. J.; Franklin, M.; Freeman, J. C.; Furic, I.; Gallinaro, M.; Galyardt, J.; Garberson, F.; Garcia, J. E.; Garfinkel, A. F.; Genser, K.; Gerberich, H.; Gerdes, D.; Gessler, A.; Giagu, S.; Giakoumopoulou, V. A.; Giannetti, P.; Gibson, K.; Gimmell, J. L.; Ginsburg, C. M.; Giokaris, N.; Giordani, M.; Giromini, P.; Giunta, M.; Giurgiu, G.; Glagolev, V.; Glenzinski, D.; Gold, M.; Goldschmidt, N.; Golossanov, A.; Gomez, G.; Gomez-Ceballos, G.; Goncharov, M.; González, O.; Gorelov, I.; Goshaw, A. T.; Goulianos, Konstantin; Gresele, A.; Grinstein, S.; Grosso-Pilcher, C.; Group, R. C.; Grundler, U.; Guimaraes Da Costa, J.; Gunay-Unalan, Z.; Haber, C.; Hahn, K.; Hahn, S. R.; Halkiadakis, Eva; Han, B. -Y; Han, J. Y.; Happacher, F.; Hara, K.; Hare, D.; Hare, M.; Harper, S.; Harr, R. F.; Harris, R. M.; Hartz, M.; Hatakeyama, K.; Hays, C.; Heck, M.; Heijboer, A.; Heinrich, J.; Henderson, C.; Herndon, M.; Heuser, J.; Hewamanage, S.; Hidas, D.; Hill, C. S.; Hirschbuehl, D.; Hocker, A.; Hou, S.; Houlden, M.; Hsu, S. -C; Huffman, B. T.; Hughes, R. E.; Husemann, U.; Hussein, M.; Husemann, U.; Huston, J.; Incandela, J.; Introzzi, G.; Iori, M.; Ivanov, A.; James, E.; Jayatilaka, B.; Jeon, E. J.; Jha, M. K.; Jindariani, S.; Johnson, W.; Jones, M.; Joo, K. K.; Jun, S. Y.; Jung, J. E.; Junk, T. R.; Kamon, T.; Kar, D.; Karchin, P. E.; Kato, Y.; Kephart, R.; Keung, J.; Khotilovich, V.; Kilminster, B.; Kim, D. H.; Kim, H. S.; Kim, H. W.; Kim, J. E.; Kim, M. J.; Kim, S. B.; Kim, S. H.; Kim, Y. K.; Kimura, N.; Kirsch, L.; Klimenko, S.; Knuteson, B.; Ko, B. R.; Kondo, K.; Kong, D. J.; Konigsberg, J.; Korytov, A.; Kotwal, A. V.; Kreps, M.; Kroll, J.; Krop, D.; Krumnack, N.; Kruse, M.; Krutelyov, V.; Kubo, T.; Kuhr, T.; Kulkarni, N. P.; Kurata, M.; Kwang, S.; Laasanen, A. T.; Lami, S.; Lammel, S.; Lancaster, M.; Lander, R. L.; Lannon, K.; Lath, A.; Latino, G.; Lazzizzera, I.; Lecompte, T.; Lee, E.; Lee, H. S.; Lee, S. W.; Leone, S.; Lewis, J. D.; Lin, C. -S; Linacre, J.; Lindgren, M.; Lipeles, E.; Lister, A.; Litvintsev, D. O.; Liu, C.; Liu, T.; Lockyer, N. S.; Loginov, A.; Loreti, M.; Lovas, L.; Lucchesi, D.; Luci, C.; Lueck, J.; Lujan, P.; Lukens, P.; Lungu, G.; Lyons, L.; Lys, J.; Lysak, R.; MacQueen, D.; Madrak, R.; Maeshima, K.; Makhoul, K.; Maki, T.; Maksimovic, P.; Malde, S.; Malik, S.; Manca, G.; Manousakis-Katsikakis, A.; Margaroli, F.; Marino, C.; Marino, C. P.; Martin, A.; Martin, V.; Martínez, M.; Martínez-Ballarín, R.; Maruyama, T.; Mastrandrea, P.; Masubuchi, T.; Mathis, M.; Mattson, M. E.; Mazzanti, P.; McFarland, K. S.; McIntyre, P.; McNulty, R.; Mehta, A.; Mehtala, P.; Menzione, A.; Merkel, P.; Mesropian, C.; Miao, T.; Miladinovic, N.; Miller, R.; Mills, C.; Milnik, M.; Mitra, A.; Mitselmakher, G.; Miyake, H.; Moggi, N.; Moon, C. S.; Moore, R.; Morello, M. J.; Morlok, J.; Movilla Fernández, Pedro A.; Mülmenstädt, J.; Mukherjee, A.; Muller, Th; Mumford, R.; Murat, P.; Mussini, M.; Nachtman, J.; Nagai, Y.; Nagano, A.; Naganoma, J.; Nakamura, K.; Nakano, I.; Napier, A.; Necula, V.; Nett, J.; Neu, C.; Neubauer, M. S.; Neubauer, S.; Nielsen, J.; Nodulman, L.; Norman, M.; Norniella, O.; Nurse, E.; Oakes, L.; Oh, S. H.; Oh, Y. D.; Oksuzian, I.; Okusawa, T.; Orava, R.; Pagan Griso, S.; Palencia, E.; Papadimitriou, Vaia; Papaikonomou, A.; Paramonov, A. A.; Parks, B.; Pashapour, S.; Patrick, J.; Pauletta, G.; Paulini, M.; Paus, C.; Peiffer, T.; Pellett, D. E.; Penzo, A.; Phillips, T. J.; Piacentino, G.; Pianori, E.; Pinera, L.; Pitts, K.; Plager, C.; Pondrom, L.; Poukhov, O.; Pounder, N.; Prakoshyn, F.; Pronko, A.; Proudfoot, J.; Ptohos, Fotios; Pueschel, E.; Punzi, G.; Pursley, J.; Rademacker, J.; Rahaman, A.; Ramakrishnan, V.; Ranjan, N.; Redondo, I.; Renton, P.; Renz, M.; Rescigno, M.; Richter, S.; Rimondi, F.; Ristori, L.; Robson, A.; Rodrigo, T.; Rodriguez, T.; Rogers, E.; Rolli, S.; Roser, R.; Rossi, M.; Rossin, R.; Roy, P.; Ruiz, A.; Russ, J.; Rusu, V.; Safonov, A.; Sakumoto, W. K.; Saltó, O.; Santi, L.; Sarkar, S.; Sartori, L.; Sato, K.; Savoy-Navarro, A.; Schlabach, P.; Schmidt, A.; Schmidt, E. E.; Schmidt, M. A.; Schmidt, M. P.; Schmitt, M.; Schwarz, T.; Scodellaro, L.; Scribano, A.; Scuri, F.; Sedov, A.; Seidel, S.; Seiya, Y.; Semenov, A.; Sexton-Kennedy, L.; Sforza, F.; Sfyrla, A.; Shalhout, S. Z.; Shears, T.; Shepard, P. F.; Shimojima, M.; Shiraishi, S.; Shochet, M.; Shon, Y.; Shreyber, I.; Sidoti, A.; Sinervo, P.; Sisakyan, A.; Slaughter, A. J.; Slaunwhite, J.; Sliwa, K.; Smith, J. R.; Snider, F. D.; Snihur, R.; Soha, A.; Somalwar, S.; Sorin, V.; Spalding, J.; Spreitzer, T.; Squillacioti, P.; Stanitzki, M.; St. Denis, R.; Stelzer, B.; Stelzer-Chilton, O.; Stentz, D.; Strologas, John; Strycker, G. L.; Stuart, D.; Suh, J. S.; Sukhanov, A.; Suslov, I.; Suzuki, T.; Taffard, A.; Takashima, R.; Takeuchi, Y.; Tanaka, R.; Tecchio, M.; Teng, P. K.; Terashi, K.; Thom, J.; Thompson, A. S.; Thompson, G. A.; Thomson, E.; Tipton, P.; Ttito-Guzmán, P.; Tkaczyk, S.; Toback, D.; Tokar, S.; Tollefson, K.; Tomura, T.; Tonelli, D.; Torre, S.; Torretta, D.; Totaro, P.; Tourneur, S.; Trovato, M.; Tsai, S. -Y; Tu, Y.; Turini, N.; Ukegawa, F.; Vallecorsa, S.; Van Remortel, Nick; Varganov, A.; Vataga, E.; Vázquez, F.; Velev, G.; Vellidis, C.; Veszprémi, V.; Vidal, M.; Vidal, R.; Vila, I.; Vilar, R.; Vine, T.; Vogel, M.; Volobouev, I.; Volpi, G.; Wagner, P.; Wagner, R. G.; Wagner, R. L.; Wagner, W.; Wagner-Kuhr, J.; Wakisaka, T.; Wallny, R.; Wang, S. M.; Warburton, A.; Waters, D.; Weinberger, M.; Weinelt, J.; Wester, W. C.; Whitehouse, B.; Whiteson, D.; Wicklund, A. B.; Wicklund, E.; Wilbur, S.; Williams, G.; Williams, H. H.; Wilson, P.; Winer, B. L.; Wittich, P.; Wolbers, S.; Wolfe, C.; Wright, T.; Wu, X.; Würthwein, F.; Wynne, S. M.; Xie, S.; Yagil, A.; Yamamoto, K.; Yamaoka, J.; Yang, U. K.; Yang, Y. C.; Yao, W. M.; Yeh, G. P.; Yoh, J.; Yorita, K.; Yoshida, T.; Yu, G. B.; Yu, I.; Yu, S. S.; Yun, J. C.; Zanello, L.; Zanetti, A.; Zhang, X.; Zheng, Y.; Zucchelli, S. (2009)
      We present a measurement of the transverse momentum with respect to the jet axis (kt) of particles in jets produced in pp̄ collisions at s=1.96TeV. Results are obtained for charged particles in a cone of 0.5 radians around ...
    • Conference Object  

      Model complexity of a cantilever beam: An energy-based approach 

      Louca, Loucas S. (Dime University of Genoa, 2015)
      The cantilever beam is a component widely used in numerous engineering systems with its geometric and material properties varying depending on the application. Calculating the dynamic behavior of a cantilever beam is a ...
    • Article  

      Model-free versus model-based volatility prediction 

      Politis, Dimitris Nicolas (2007)
      The well-known ARCH/GARCH models for financial time series have been criticized of late for their poor performance in volatility prediction, that is, prediction of squared returns.1 Focusing on three representative data ...
    • Article  

      Neural network methods for one-to-many multi-valued mapping problems 

      Jayne, C.; Lanitis, A.; Christodoulou, Chris C. (2011)
      An investigation of the applicability of neural network-based methods in predicting the values of multiple parameters, given the value of a single parameter within a particular problem domain is presented. In this context, ...
    • Conference Object  

      Neural networks to estimate the influence of cervix length on the prediction of spontaneous preterm delivery before 37 weeks 

      Neokleous,Kleanthis C.; Schizas, Christos N.; Neokleous,Kleanthis C.; Pattichis, Constantinos S.; Anastasopoulos, Panagiotis; Nikolaides, Kypros H. (2008)
      Neural networks were applied in an effort to predict the risk for early spontaneous preterm delivery using various demographic, clinical, and laboratory inputs. Furthermore, attention has been focused on the influence of ...
    • Conference Object  

      Non-uniform finite segment representation and reduction of a cantilever beam model 

      Louca, Loucas S. (Dime University of Genoa, 2016)
      The cantilever beam is a component widely used in numerous engineering systems with its geometric and material properties varying depending on the application. Calculating the dynamic behavior of a cantilever beam is a ...
    • Article  

      On-Street and off-street parking availability prediction using multivariate spatiotemporal models 

      Rajabioun, T.; Ioannou, Petros A. (2015)
      Parking guidance and information (PGI) systems are becoming important parts of intelligent transportation systems due to the fact that cars and infrastructure are becoming more and more connected. One major challenge in ...
    • Article  

      Oncology for medical students: A new ESO educational avenue [6] 

      Pavlidis, Nicholas; Vermorken, J. B.; Costa, Alberto (2005)
    • Conference Object  

      An overview of quantitative magnetic resonance imaging analysis studies in the assessment of alzheimer’s disease 

      Leandrou, Stephanos; Petroudi, Styliani; Kyriacou, Panicos A.; Reyes-Aldasoro, C. C.; Pattichis, Constantinos S. (Springer Verlag, 2016)
      Medical image analysis and visualization, can contribute in quantitative and qualitative analysis of Magnetic Resonance Imaging (MRI) towards an earlier diagnosis of Alzheimer’s disease (AD). Moreover, the early detection ...
    • Article  

      Prediction of high-risk asymptomatic carotid plaques based on ultrasonic image features 

      Kyriacou, Efthyvoulos C.; Petroudi, Styliani; Pattichis, Constantinos S.; Pattichis, Marios S.; Griffin, Maura B.; Kakkos, Stavros K.; Nicolaïdes, Andrew N. (2012)
      Carotid plaques have been associated with ipsilateral neurological symptoms. High-resolution ultrasound can provide information not only on the degree of carotid artery stenosis but also on the characteristics of the ...
    • Article  

      Protein secondary structure prediction with bidirectional recurrent neural nets: Can weight updating for each residue enhance performance? 

      Agathocleous, Michalis; Christodoulou, Georgia; Promponas, Vasilis J.; Christodoulou, Chris C.; Vassiliades, Vassilis; Antoniou, Antonis (2010)
      Successful protein secondary structure prediction is an important step towards modelling protein 3D structure, with several practical applications. Even though in the last four decades several PSSP algorithms have been ...
    • Conference Object  

      The protein structure prediction module of the prot-grid information system 

      Vogiatzis, Dimitrios G.; Frosyniotis, Dimitrios; Papadopoulos, George Angelos (Escola Superior de Tecnologia do Instituto Politecnico de Setubal, 2003)
      In this work, we describe the protein secondary structure prediction module of a distributed bio-informatics system. Protein databases contain over a million of sequenced proteins, however there is structuring information ...
    • Article  

      The significance of affectors and affectees correlations for branch prediction 

      Sazeides, Yiannakis; Moustakas, Andreas; Constantinides, Kypros; Kleanthous, Marios M. (2008)
      This work investigates the potential of direction-correlations to improve branch prediction. There are two types of direction- correlation: affectors and affectees. This work considers for the first time their implications ...
    • Article  

      Systematic assessment of rigid internal combustion engine dynamic coupling 

      Rideout, D. G.; Stein, J. L.; Louca, Loucas S. (2008)
      Accurate estimation of engine vibrations is essential in the design of new engines, engine mounts, and the vehicle frames to which they are attached. Mount force prediction has traditionally been simplified by assuming ...
    • Article  

      Traffic Flow Prediction for Road Transportation Networks With Limited Traffic Data 

      Abadi, A.; Rajabioun, T.; Ioannou, Petros A. (2015)
      Obtaining accurate information about current and near-term future traffic flows of all links in a traffic network has a wide range of applications, including traffic forecasting, vehicle navigation devices, vehicle routing, ...
    • Article  

      Training bidirectional recurrent neural network architectures with the scaled conjugate gradient algorithm 

      Agathocleous, Michalis; Christodoulou, Chris C.; Promponas, Vasilis J.; Kountouris, P.; Vassiliades, Vassilis (2016)
      Predictions on sequential data, when both the upstream and downstream information is important, is a difficult and challenging task. The Bidirectional Recurrent Neural Network (BRNN) architecture has been designed to deal ...
    • Book  

      Ευρώπη ποια Ευρώπη: κρίση στην Ευρωπαϊκή Ένωση και εναλλακτικές πολιτικές 

      Τομπάζος, Σταύρος; Βεργόπουλος, Κώστας Β.; Αγγελόπουλος, Παναγιώτης (Πολύτροπον, 2008)