𝔖 Bobbio Scriptorium
✦   LIBER   ✦

Transport modelling of packed-tube reactors—I. Framework for a data-based approach

✍ Scribed by Warren E. Stewart; Dennis F. Marr; Tonny T. Nam; Ana M. Gola-Galimidi

Publisher
Elsevier Science
Year
1991
Tongue
English
Weight
754 KB
Volume
46
Category
Article
ISSN
0009-2509

No coin nor oath required. For personal study only.

📜 SIMILAR VOLUMES

A computer vision based approach for 3D
A computer vision based approach for 3D building modelling of airborne laser scanner DSM data
✍ B. Babu Madhavan; C. Wang; H. Tanahashi; H. Hirayu; Y. Niwa; K. Yamamoto; K. Tac 📂 Article 📅 2006 🏛 Elsevier Science 🌐 English ⚖ 622 KB

A computer vision based method for 3D building modelling by using stable planar regions extracted from low-spatial-resolution airborne laser scanner (ALS) data is presented. Less operator interaction (interactive processing) and an algorithm that automatically generates building parameters from digi

An agent-based framework for parametric
An agent-based framework for parametric studies of numerical modelling problems in computational electromagnetics
✍ C. G. Biniaris; A. I. Kostaridis; D. I. Kaklamani; I. S. Venieris 📂 Article 📅 2003 🏛 John Wiley and Sons 🌐 English ⚖ 442 KB

## Abstract In this paper, we present the design of a generic agent‐based framework for distributed parametric analysis of numerical modelling problems on a network of workstations and its application in computational electromagnetics (CEM). The entire infrastructure is based on a Master–Worker par

Application of a data-based mechanistic
Application of a data-based mechanistic modelling (DBM) approach for predicting runoff generation in semi-arid regions
✍ S. Mwakalila; P. Campling; J. Feyen; G. Wyseure; K. Beven 📂 Article 📅 2001 🏛 John Wiley and Sons 🌐 English ⚖ 228 KB

## Abstract This paper addresses the application of a data‐based mechanistic (DBM) modelling approach using transfer function models (TFMs) with non‐linear rainfall filtering to predict runoff generation from a semi‐arid catchment (795 km^2^) in Tanzania. With DBM modelling, time series of rainfall