The Vascular Flora of Tetraclinis Ecosystem in the Moroccan Central Plateau

The main objective of this study is to quantify the floral richness and diversity of Tetraclinis ecosystem in the Moroccan Central Plateau. The approach was based on over 300 floristic surveys covering the different parts of the Moroccan Central Plateau forests. It also entails the analysis and processing of data from studies in the region. The results indicate that there are 233 taxa belonging to 56 families

INDEXATION DES OBJETS 3D BASEE SUR UNE ANALOGIE PARTIELLE DES SEGMENTS

L’indexation 3D est un domaine qui s’impose dans un certain nombre important d'applications liées aux bases de données d’objets 3D. Plusieurs descripteurs ont été définis dont la plupart utilisent la signature géométrique globale des objets 3D et peu d'entre eux sont basés sur une correspondance partielle des segments de ces objets. Dans cet article, nous proposons de raffiner les résultats d’une indexation globale par la prise en compte des signatures des segments composant un objet 3D. L’approche proposée améliore, significativement, les résultats de l’indexation globale et permet de détecter les modèles similaires ayant des poses différentes

A novel hybrid model based on Hodrick–Prescott filter and support vector regression algorithm for optimizing stock market price prediction

Abstract Predicting stock market price is considered as a challenging task of financial time series analysis, which is of great interest to stock investors, stock traders and applied researchers. Many machine learning techniques have been used in this area to predict the stock market price, including regression algorithms which can be useful tools to provide good performance of financial time series prediction. Support Vector Regression is one of the most powerful algorithms in machine learning. There have been countless successes in utilizing SVR algorithm for stock market prediction. In this paper, we propose a novel hybrid approach based on machine learning and filtering techniques. Our proposed approach combines Support Vector Regression and Hodrick–Prescott filter in order to optimize the prediction of stock price. To assess the performance of this proposed approach, we have conducted several experiments using real world datasets. The principle objective of this paper is to demonstrate the improvement in predictive performance of stock market and verify the works of our proposed model in comparison with other optimized models. The experimental results confirm that the proposed algorithm constitutes a powerful model for predicting stock market prices

Proceedings of IEEE - CiST14 - Third IEEE International Colloquium in Information Science and Technology (CIST)

The 3rd international IEEE Colloquium on Information Science and Technology (CIST\u2714) is part of the IEEE CONFERENCE SERIES that are held in Morocco, and is sponsored by the IEEE Morocco Section and the IEEE Morocco Computer & Communication Joint Chapter, and the UAE IEEE Student Branch. The 2014 edition was organized in collaboration with the Faculty of Sciences of Tetuan, the national school of applied sciences of Tetuan and the University of Abdelmalek Essaadi. IEEE CIST is emerging as a key annual event that aims to serve as a forum to promote the exchange of the latest advances achieved by IT researchers, IT decision makers, IT managers, application designers and software engineers in the domain of information science and related technology. Computing challenges, models, applications and IT solutions will be discussed from the perspectives of academia, industry and government. In addition to the main conference topics, IEEE CIST will also provide a platform for supporting innovative and original contributions in three complementary disciplines that are: Arabic natural language processing, Information and multimedia processing and Internet of Things. We would like to extend our most sincere thanks and gratitude to the keynote speakers of IEEE CIST\u2714 for their important added value to this edition and to the Scientific Committee Members who helped us in the review process. We would like also to express our thanks to the IEEE Computer Society for their support through their Distinguished Lecturers Programs. We are also very glad to express our most sincere gratitude for the organizing committee members for their full dedication and professional organization of this edition. The success of this colloquium will be mainly attributed to the authors who contributed with their posters and talks. We hope that CIST will continue to offer a privileged context for participants to develop new ways and methods to achieve our objectives in advancing our research and projects. We can together achieve more and face more efficiently the challenges of the current millennium