𝔖 Bobbio Scriptorium
✦   LIBER   ✦

An Adaptive Caching Strategy for m-Learning Based on SCORM Sequencing and Navigation

✍ Scribed by Hsuan Pu Chang; Timothy K. Shih; Qing Li; Chun-Chia Wang; Te-Hua Wang; Louis R. Chao


Book ID
106567583
Publisher
Springer
Year
2008
Tongue
English
Weight
744 KB
Volume
11
Category
Article
ISSN
1386-145X

No coin nor oath required. For personal study only.


πŸ“œ SIMILAR VOLUMES


An adaptive distance relaying strategy b
✍ V. Gohari Sadr; SH. M. Kouhsari πŸ“‚ Article πŸ“… 2009 πŸ› John Wiley and Sons 🌐 English βš– 479 KB

## Abstract In this paper, a new method based on Global Network Simulation (GNS) approach for adaptive distance relaying is presented. The GNS approach uses Diakoptics and Large Change Sensitivity (LCS) concepts to perform the interconnected power systems analysis globally. The proposed method empl

An efficient model development strategy
✍ H. J. L. van Can; H. A. B. te Braake; C. Hellinga; K. C. A. M. Luyben πŸ“‚ Article πŸ“… 1997 πŸ› John Wiley and Sons 🌐 English βš– 335 KB πŸ‘ 2 views

In the serial gray box modeling strategy, generally available knowledge, represented in the macroscopic balance, is combined naturally with neural networks, which are powerful and convenient tools to model the inaccurately known terms in the macroscopic balance. This article shows, for a typical bio

An iterated local search algorithm for l
✍ Luis M. De Campos; Juan M. FernΓ‘ndez-Luna; J. Miguel Puerta πŸ“‚ Article πŸ“… 2003 πŸ› John Wiley and Sons 🌐 English βš– 136 KB

A common approach for learning Bayesian networks (BNs) from data is based on the use of a scoring metric to evaluate the fitness of any given candidate network to the data and a method to explore the search space, which usually is the set of directed acyclic graphs (DAGs). The most efficient search