INVESTIGADORES
DENHAM Monica Malen
capítulos de libros
ISMAEL MANUEL FERNANDEZ; JORGE COGO; DENHAM, MÓNICA
Sistema Embebido para el monitoreo y gestión de animales utilizando RFID
Libro de Trabajos Modalidades Artículo, Foro Tecnológico y Reporte. Congreso Argentino de Sistemas Embebidos. CASE 2020
Año: 2020; p. 117 - 119
SIGFRIDO WAIDELICH; LANERI, KARINA; DENHAM, MÓNICA
Fire Propagation Visualization in Real Time
Libro de Actas JCC&BD 2018
Lugar: La Plata; Año: 2018; p. 53 - 61
MÓNICA DENHAM; ANA CORTÉS; TOMÁS MARGALEF
Scalability Analysis of a Parallel Dynamic Data Driven Genetic Algorithm for Forest Fire Spread Prediction
Proceedings of the 2011 International Conference on Parallel and Distributed Processing. Techniques and Applications
Lugar: Las Vegas, Nevada; Año: 2011; p. 633 - 637
KERSTIN WENDT; MÓNICA DENHAM; ANA CORTÉS; TOMÁS MARGALEF
Evolutionary Optimisation Techniques to Estimate Input Parameters in Environmental Emergency Modelling
Computational Optimization and Applications in Engineering and Industry
Año: 2011; p. 129 - 148
MÓNICA DENHAM; ANA CORTÉS; TOMÁS MARGALEF
Parallel Dynamic Data Driven Genetic Algorithm for Forest Fire Prediction
Lecture Notes in Computer Science. Volume 5759. Recent Advances in Parallel Virtual Machine and Message Passing Interface
Año: 2009; p. 323 - 324
MÓNICA DENHAM; ANA CORTÉS; TOMÁS MARGALEF
Computational Steering Strategy to Calibrate Input Variables in a Dynamic Data Driven Genetic Algorithm for Forest Fire Spread Prediction
Lecture Notes in Computer Science. Volume 5545. Computational Science - ICCS 2009
Año: 2009; p. 479 - 488
MÓNICA DENHAM; ANA CORTÉS; TOMÁS MARGALEF; EMILIO LUQUE
Applying a Dynamic Data Driven Genetic Algorithm to Improve Forest Fire Spread Prediction
Lecture Notes in Computer Science. Volume 5103. Computational Science - ICCS 2008
Año: 2008; p. 36 - 45
FERNANDO G. TINETTI; MÓNICA DENHAM; ARMANDO DE GIUSTI
Parallel Matrix Multiplication and LU Factorization on Ethernet-Based Clusters
Lecture Notes in Computer Science. Volume 2558. High Performance Computing
Año: 2003; p. 431 - 439