1,721,381 research outputs found
Kinematic GPS survey as validation of LIDAR strips accuracy
Full text linkAs a result of the catastrophic hydrogeological events which occurred in May 1998 in Campania, in the south of Italy, the distinctive features of airborne laser scanning mounted on a helicopter were used to survey the landslides at Sarno and Quindici. In order to survey the entire zone of interest, approximately 21 km2, it was necessary to scan 12 laser strips. Many problems arose during the survey: difficulties in receiving the GPS signal, complex terrain features and unfavorable atmospheric conditions. These problems were investigated and it emerged that one of the most influential factors is the quality of GPS signals. By analysing the original GPS data, the traces obtained by fixing phase ambiguity with an On The Fly (OTF) algorithm were isolated from those with smoothed differential GPS solution (DGPS). Processing and analysis of laser data showed that not all the overlapping laser strips were congruent with each other. Since an external survey to verify the laser data accuracy was necessary, it was decided to utilize the kinematic GPS technique. The laser strips were subsequently adjusted, using the kinematic GPS data as reference points. Bearing in mind that in mountainous areas like the one studied here it is not possible to obtain nominal precision and accuracy, a good result was nevertheless obtained with a Digital Terrain Model (DTM) of all the zones of interest
Customers churn prediction and marketing retention strategies. An application of support vector machines based on the AUC parameter-selection technique in B2B e-commerce industry
No full textUsing neural network for customer churn prediction modeling: preliminary findings from the Italian electricity industry
No full textCustomer Relationship Management and Data Mining: A Classification Decision Tree to Predict Customer Behavior in Global Market
No full textModelli predittivi del default di impresa e radicamento territoriale. Evidenze da un campione di pmi marchigiane.
No full textObiettivo del paper è provare a sviluppare un modello predittivo del default specifico per le
PMI basato sull’utilizzo congiunto di variabili qualitative come il territorio e la relazione
impresa-territorio e del metodo Support Vector Machine (SVM), al fine di di ottenere una più
elevata accuratezza previsionale. I risultati dimostrano che: a) l’utilizzo di variabili qualitative
migliora la capacità previsionale rispetto all’utilizzo delle sole variabili quantitative; b) la
metodologia SVM fornisce una migliore accuratezza previsionale rispetto ai metodi
tradizionalmente utilizzati; c) il miglioramento è particolarmente marcato nelle imprese di più
piccole dimensioni, dimostrando l’innovatività e la validità del modello per le PMI. Il lavoro
suggerisce l’opportunità per le PMI marchigiane di dotarsi di specifici modelli predittivi del
default in grado di fornire alle imprese maggiore consapevolezza della propria solidità
finanziaria, incrementando la capacità di accesso al credito nel territorio di riferimento e
limitando i diffusi comportamenti orientati al credit crunch
Customer churn prediction: an application of support vector machines in the Italian electricity industry
No full textCustomer churn management and marketing retention strategies: an application of support vector machines based on AUC parameter-selection in the Italian electricity industry
No full textPolipeptidi sintetici come modelli strutturali della elastina
No full textPolipeptidi sintetici come modelli strutturali della elastin
Amphinema gordini Fuentes, Muniz, Lindsay
No full text<i>Amphinema gordini</i> Fuentes, Muñiz, Lindsay, Isla & Gili, 2012 <p> Distribution in South America: medusa- Pacific Ocean, Chile, at 21° S 70.54° W (Fuentes <i>et al</i>. 2012). Habitat: medusa—at 883m depth, collected with bottom sediment traps (Fuentes <i>et al</i>., 2012).</p>Published as part of <i>OLIVEIRA, OTTO M. P., MIRANDA, THAÍS P., ARAUJO, ENILMA M., AYÓN, PATRICIA, CEDEÑO-POSSO, CRISTINA M., CEPEDA-MERCADO, AMANCAY A., CÓRDOVA, PABLO, CUNHA, AMANDA F., GENZANO, GABRIEL N., HADDAD, MARIA ANGÉLICA, MIANZAN, HERMES W., MIGOTTO, ALVARO E., MIRANDA, LUCÍLIA S., MORANDINI, ANDRÉ C., NAGATA, RENATO M., NASCIMENTO, KARINE B., JÚNIOR, MIODELI NOGUEIRA, PALMA, SERGIO, QUIÑONES, JAVIER, RODRIGUEZ, CAROLINA S., SCARABINO, FABRIZIO, SCHIARITI, AGUSTÍN, STAMPAR, SÉRGIO N., TRONOLONE, VALQUÍRIA B. & MARQUES, ANTONIO C., 2016, Census of Cnidaria (Medusozoa) and Ctenophora from South American marine waters, pp. 1-256 in Zootaxa 4194 (1)</i> on page 68, DOI: 10.11646/zootaxa.4194.1.1, <a href="http://zenodo.org/record/10068449">http://zenodo.org/record/10068449</a>
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