Hybrid Approach Research Papers - Academia.edu (original) (raw)

In this paper, we propose a hybrid approach of Arabic scripts web page language identification based on decision tree and ARTMAP approaches. We use the decision tree approach to find the general identities of a web document, be it an... more

In this paper, we propose a hybrid approach of Arabic scripts web page language identification based on decision tree and ARTMAP approaches. We use the decision tree approach to find the general identities of a web document, be it an Arabic script-based or a non-Arabic-based. Then, we use the selected representations of identified pages from the decision tree approach as

This paper describes the use of problem-based Learning (PBL) in the delivery of a level 3 unit: Design and Implementation of VLSI Systems. A “hybrid ” approach has been taken with lectures being interleaved with floating facilitator, PBL... more

This paper describes the use of problem-based Learning (PBL) in the delivery of a level 3 unit: Design and Implementation of VLSI Systems. A “hybrid ” approach has been taken with lectures being interleaved with floating facilitator, PBL sessions. A series of four problems were presented during the course of the unit, each problem

... Since the pri-mary focus of this research pertains to the project screening process, in which go/no-go decisions are being made early in the acquisition lifecycle, this linear assumption seems appropriate. ... REFERENCES [1] KM... more

... Since the pri-mary focus of this research pertains to the project screening process, in which go/no-go decisions are being made early in the acquisition lifecycle, this linear assumption seems appropriate. ... REFERENCES [1] KM Al-Subhi Al-Harbi, “Application of the AHP in ...

Dissemination of data with sensitive information about individuals has an implicit risk of unauthorized disclosure. Perturbative masking methods propose the distortion of the original data sets before publication, tackling a difficult... more

Dissemination of data with sensitive information about individuals has an implicit risk of unauthorized disclosure. Perturbative masking methods propose the distortion of the original data sets before publication, tackling a difficult tradeoff between data utility (low information loss) and protection against disclosure (low disclosure risk). In this paper, we describe how information loss and disclosure risk measures can be integrated

In sensor network applications, data gathering mechanisms, which are based on multi-hop forwarding, can be expensive in terms of energy. This limitation challenges the use of sensor networks for applications that demand a predefined... more

In sensor network applications, data gathering mechanisms, which are based on multi-hop forwarding, can be expensive in terms of energy. This limitation challenges the use of sensor networks for applications that demand a predefined operational-lifetime. To avoid this problem, using of mobile element (ME) as a mechanical data carrier has emerged as a promising approach. However, practical considerations such as the ME speed and route planning, sensor buffer size and data frequency generation constraints impose limits ...

R…SUM…. Il est connu que les performances des algorithmes d'extraction des itemsets fermØs laissent ‡ dØsirer lorsqu'ils sont appliquØs sur des contextes Øparses. Aussi, dans ce papier, nous proposons une approche qui... more

R…SUM…. Il est connu que les performances des algorithmes d'extraction des itemsets fermØs laissent ‡ dØsirer lorsqu'ils sont appliquØs sur des contextes Øparses. Aussi, dans ce papier, nous proposons une approche qui s'inscrit dans l'optique d'appliquer au type du contexte, selon sa densitØ (dense ou Øparse), le type d'algorithme le plus appropriØ du point de vue performances. L'approche proposØe utilise

This paper presents a novel histogram thresholding – fuzzy C-means hybrid (HTFCM) approach that could find different application in pattern recognition as well as in computer vision, particularly in color image segmentation. The proposed... more

This paper presents a novel histogram thresholding – fuzzy C-means hybrid (HTFCM) approach that could find different application in pattern recognition as well as in computer vision, particularly in color image segmentation. The proposed approach applies the histogram thresholding technique to obtain all possible uniform regions in the color image. Then, the Fuzzy C-means (FCM) algorithm is utilized to improve