Search results for: Driss Mammass
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Education and Information Technologies > 2019 > 24 > 6 > 3577-3589
The use of machine learning with educational data mining (EDM) to predict learner performance has always been an important research area. Predicting academic results is one of the solutions that aims to monitor the progress of students and anticipates students at risk of failing the academic pathways. In this paper, we present a framework for predicting student performance based on Machine Learning...
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Education and Information Technologies > 2019 > 24 > 2 > 1379-1393
The educational recommendation system to provide support for academic guidance and adaptive learning has always been an important issue of research for smart education. A bad guidance can give rise to difficulties in further studies and can be extended to school dropout. This paper explores the potential of Educational Data Mining for academic guidance recommendation by predicting students’ performance...
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A set of actors may take part in numerous categories of real-life social networks. For instance an actor may take part in a mobile social network and a friendship network. The interactions between actors in the mobile social network may not be reproduced in the friendship one. We accept that overlaying networks with different kinds of interactions assists on detecting interesting patterns. The main...
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Social networks are dynamic topologies with a set of nodes playing a significant role in the information flow transmission within the network. The appearance of new links in the network may change the role of nodes and conduct to a rapid information flow. For example an individual may belong to an online social network and a friendship network. The relationships between individuals in the mobile social...
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Day by day, the amount of digital data grows exponentially. Furthermore, these data come from heterogeneous content and structure resources. Both factors are the major handicap that limits the correct functioning of information systems. Being on the same wavelength, researchers have fixed as a challenge to reach targeted information retrieval which allows an easy access to the desired resource then...
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The Moroccan health sector is now inspired by other industries to take advantage of the benefit of cloud computing in terms of cost and flexibility, without compromising data security. Indeed, the medical field has an exponential number of data that requires a developed infrastructure and a very high storage and archiving capacity, so the process of processing the patient's information is slow and...
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Object recognition or object's category recognition under varying conditions is one of the most astonishing capabilities of human visual system. The scientists in computer vision have been trying for decades to reproduce this ability by implementing algorithms and providing computers with appropriate tools. Hence, several intelligent systems have been proposed. To act in this field, numerous approaches...
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The registration of remote sensing images has been often a necessary step for further analyses of images taken at different times, different viewing geometry or with different sensors. For this task there exists many approaches. This paper focuses on the feature-based category of image registration methods. Particularly, we propose an improvement of the SURF algorithm on the point matching step. Indeed,...
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This paper presents a case of study of a virtual learning environment based on Agile Learning Design approach and integrating learner-centered design. It aims to give the foundation of a framework that gives extensive attention at each stage of the design process to the end user — which is in our case the learners-to improve teaching effectiveness, facilitate learning among learners, encourage long...
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Day by day, the amount of digital data grows exponentially. Furthermore, these data come from heterogeneous content and structure resources. Both factors are the major handicap that limits the correct functioning of information systems. Being on the same wavelength, researchers have fixed as a challenge to reach targeted information retrieval which allows an easy access to the desired resource then...
chapter
Social networks are dynamic topologies with a set of nodes playing a significant role in the information flow transmission within the network. The appearance of new links in the network may change the role of nodes and conduct to a rapid information flow. For example an individual may belong to an online social network and a friendship network. The relationships between individuals in the mobile social...
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In this paper we present a system for offline recognition cursive Arabic handwritten text based on Hidden Markov Models (HMMs). The system is analytical without explicit segmentation used embedded training to perform and enhance the character models. Extraction features preceded by baseline estimation are statistical and geometric to integrate both the peculiarities of the text and the pixel distribution...
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Speed Up Robust Features SURF is one of the most popular and efficient methods used for image registration task. In order to achieve a correct registration, a good matching of feature point is required. However in the case of multimodal images, the high and non-linear intensity changes between different modalities led to many outliers (mismatching of detected points) and consequently a fail in the...
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Documents indexing is the main step in a conventional document classification or information retrieval framework. This study aims to highlight the influence of features' type on the efficiency of a classification system. Empirical results on Arabic dataset reveal that the choice of extracted feature's type has a significant impact on conserving semantic information and improving classification accuracy,...
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In this paper we present a system for offline recognition cursive Arabic handwritten text based on Hidden Markov Models (HMMs). The system is analytical without explicit segmentation used embedded training to perform and enhance the character models. Extraction features preceded by baseline estimation are statistical and geometric to integrate both the peculiarities of the text and the pixel distribution...
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Learning Design approaches have provided new perspectives for the design and the implementation of learning environments. This paper focuses on the presentation and the comparison of the most used Learning Design approaches in the literature. Several Learning Design approaches are presented. This work seeks to make it easier for instructors that want to make the best choice when choosing an approach...
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This paper is devoted to describe a preliminary draft of our approach that aims to identify and track learners' learning styles based on their behavior and actions during a MOOC then to provide them with personalized recommendations based on their learning styles. Massive Open Online Courses are attracting a debate in the research community about their influence in online education. Indeed, with their...
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This paper presents a machine vision system for automatic recognition of plant leaves diseases from images. The proposed system is based on serial combination technique of two SVM classifiers. The first classifier uses the color to classify the images; it considers, at this phase, that the diseases with similar or nearest color belonging to the same class. Then, the second classifier is used to differentiate...
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Lecture Notes in Computer Science > Image and Signal Processing > Watermarking and Document Processing > 419-427
In this paper, we extended the vectorial model of Salton [9], [11], [12] and [14], by adapting the TF-IDF parameter by its combination with the Okapi formula for index terms extraction and evaluation of the in order to identify the relevant concepts which represent a document.Indeed, we have proposed a new measure TFIDF-ABR which takes in consideration the concept of semantic vicinity using a measure...
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Lecture Notes in Computer Science > Image and Signal Processing > Watermarking and Document Processing > 428-438
This paper focuses on the structural comparison of multimedia documents. Most of the systems treating the multimedia documents exploit only the text part of these documents. However, the text is no longer the only means to carry information. The major issue is to extend these systems to the other modality notably to the image that constitutes one of the basic components of multimedia documents. The...
