A Distributed Bio-Inspired Method for Multisite Grid Mapping

Autor: I. De Falco, A. Della Cioppa, U. Scafuri, E. Tarantino

Publikováno v: Applied Computational Intelligence and Soft Computing, Vol 2010 (2010)

Computational grids assemble multisite and multiowner resources and represent the most promising solutions for processing distributed computationally intensive applications, each composed by a collection of communicating tasks. The execution of an ap

Externí odkaz: https://doaj.org/article/90a52f68e23c4ca2b0ad68b8b6d7307e

Contributors

Autor: A. Abayomi-Alli, Ijegwa David Acheme, Chandranath Adak, Abayomi Emmanuel Adegboyega, Kunle Adelaja, A.K. Adesemowo, Ibrahim A. Adeyanju, Mayank Aggarwal, Prachi Agrawal, Mohammad Aminu Ahmad, Sana Ahmed, Ebenezer Ajayi Akinyemi, G. Amar Prabhu, Lamine Amour, C.V. Aravinda, O.T. Arogundade, Doğan Aydın, Jyoti Sekhar Banerjee, Francisco Nauber Bernardo Gois, Tulshi Bezboruah, Subrato Bharati, Suyash Bhardwaj, Abhijit Bora, Hichem Bourak, Andrés Carrión-García, Ferhat Ozgur Catak, Arpita Chakraborty, Soumi Chattopadhyay, Ranjana Roy Chowdhury, Rafael Costa, I. De Falco, Marcos Cleison de Santana, A. Della Cioppa, E. Dhiravida Chelvi, Claudio Filipi Gonçalves dos Santos, Ritam Dutta, Hassan Elahi, Muhammad Umar Farooq, Fabrizio Frezza, Amir H. Gandomi, Talari Ganesh, R. Gayathri, Debmitra Ghosh, Papri Ghosh, Angela Grisales, Emmanuel Bala Gudu, Jorge Guerra Guerra, Soham Guhathakurata, Deepak Gupta, Richa Handa, Said Ali Hassan, Francisco das Chagas Douglas Marques Henrique, M. Rubaiyat Hossain Mondal, H.S. Hota, Olusoji O. Ilori, Samson Isaac, José Jabaloyes, Titilayo Omolara Johnson, Grace Gudu Joseph, Enis Karaarslan, M. Karthiga, Hyoung Joong Kim, Suah Kim, Utku Kose, A. Saran Kumar, Ambeshwar Kumar, Souvik Kundu, Merve Ayyuce Kızrak, Olumide Mohammed Lawal, Sungho Lee, Alex Lima, Meng Lin, João Alexandre Lôbo Marques, S. Magesh, R. Manikandan, Carlos Roberto Martins Rodrigues Sobrinho, Saulo Melo, Divya Mishra, Ali Wagdy Mohamed, Surapaneni Krishna Mohan, Iosif Mporas, Zümrüt Müftüoğlu, Khushboo Munir, Balaji Muthazhagan, Prasitthichai Naronglerdrit, Alvaro Aspilcueta Narvaez, José Xavier Neto, Norita Md Norwawi, Victor T. Odumuyiwa, T.O. Olaleye, Chollette C. Olisah, Marcelo Oliveira, Ramses Oliveira, Simeon Omale, Deepak Painuli, Aparnasri Panchapakesan, João Paulo Papa, Leandro Aparecido Passos, Rizwan Patan, Prajoy Podder, K. Pradeep Mohan Kumar, Veeraraghavan Vishnu Priya, Denis Alexandrovich Pustokhin, Irina Valeryevna Pustokhina, Matthieu Quiniou, S. Ramesh, Antonello Rizzi, Kevser Sahinbas, Rohit Salgotra, Ravi Samikannu, Valdir Santiago, Khennedy Santos, U. Scafuri, S. Selvakumar, K. Shankar, Dinesh K. Sharma, S. Sheeba Rani, Akbar Sheikh-Akbari, M. Lorate Shiny, A.K. Shrivas, Sami Souihi, S. Sountharrajan, R.S. Soundariya, null Sujathakrishamoorthy, Suriya Sundaramoorthy, E. Tarantino, Duong Thanh Tai, R.M. Tharsanee, Taolo Tlale, Sara Tucci-Piergiovanni, K.R. Udaya Kumar Reddy, Waheed Ullah, Patience U. Usip, Lazarus O. Uzoechi, Nilesh Verma, Olufunke Rebecca Vincent, Daniel Dauda Wisdom, Abid Yahya, Tülay Yıldırım

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::ac52cc27e55337092573d13229fa3165
https://doi.org/10.1016/b978-0-12-824536-1.01002-9

Differential evolution to estimate the parameters of a SEIAR model with dynamic social distancing

Autor: Ernesto Tarantino, I. De Falco, Umberto Scafuri, A. Della Cioppa

This chapter describes the application of a recent compartment-based epidemiological model, namely the SEIAR (Susceptible-Exposed-Infectious-Asymptomatic-Recovered), to estimate the spreading of the coronavirus COVID-19 in Italy and in some of its re

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::14e06e3f8f911e5c031994c8d97d7211
http://hdl.handle.net/11386/4781245

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A genetic programming-based regression for extrapolating a blood glucose-dynamics model from interstitial glucose measurements and their first derivatives

Autor: Umberto Scafuri, Michal Krcma, Tomas Koutny, A. Della Cioppa, I. De Falco, A. Giugliano, Ernesto Tarantino, Angelo Marcelli

Publikováno v: Applied soft computing
77 (2019): 316–328. doi:10.1016/j.asoc.2019.01.020
info:cnr-pdr/source/autori:I.De Falco (a), A. DellaCioppa (b), A.Giugliano (b), A.Marcelli (b), T.Koutny (c), M.Krcma (d), U.Scafuri (a), E.Tarantino (a)/titolo:A genetic programming-based regression for extrapolating a blood glucose-dynamics model from interstitial glucose measurements and their first derivatives/doi:10.1016%2Fj.asoc.2019.01.020/rivista:Applied soft computing (Print)/anno:2019/pagina_da:316/pagina_a:328/intervallo_pagine:316–328/volume:77

Tento článek ilustruje vývoj a použitelnost Evolučního Počítání pro zlepšení léčby pacientů s diabetem typu 1, kteří léčbu inzulínem. Jelikož je takové onemocnění spojeno se špatnou funkcí slinivky břišní, která produkuj

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::1424f558b646e4aaaf0828f7f1656cc5