SITA

Authorship verification (AV) is a binary classification task which aims at verifying whether a given text is written by a specific author. In terms of Arabic language, this task is poorly addressed especially with short texts. The current study examines ...

Remote-sensing focusing on image classification knows a large progress and receives the attention of the remote-sensing community day by day. Combining many kinds of extracted features has been successfully applied to High resolution urban satellite ...

This paper presents a mathematical model, simulation and analysis of auto guided (robot) mobile projector using a feedback camera. The camera-projector system is consisting of a mobile projector, a stationary camera, and a planar screen. The camera is ...

The disparity of educational technologies, pedagogies and learning styles implies a problem of variability when modeling E-learning systems. Furthermore, the current learning context, which has become very open and heterogeneous, raises the problem of ...

Nowadays, Facebook is considered like an online learning tool. It is an integral part of users' daily routine, whether teachers or learners. The idea of this article is to evaluate learners by communities in Facebook groups based on their interactions ...

In LTE, voice calls are encrypted only over the wireless link between the Mobile Equipment and the eNodeB. A secure end-to-end voice is left untreated. To solve this, 3GPP proposed to use IPsec, but this is still optional for operators. This article ...

Many routing protocols have been proposed in mobile ad hoc and sensor networks in order to optimize their performances. The geographic forwarding rules (GFR) fall within the category of the techniques that reduce the routing overhead. Several zoning ...

The marked interest of educational environments for the use of Serious Games (SG) promotes learning. The connected generation nowadays is influenced by the new practices of their use. Hence the integration of mobility that facilitates access to games. A ...

Drivers face parking problems in most area, especially during peak hours. The difficulty roots from the availability of parking space at the given time and place. Despite the technologies and protocols used to solve parking problems and have an ...

Agent technology is consider as a distributed artificial intelligence in which intelligence are distributed through a set of autonomous, interacting entities, this entities can be software or physical that work collaboratively to achieve certain goals. ...

The purpose of this work is to uncover the patterns of products' demand variation for the case of a pharmaceutical company in order to customize the safety stock policy. It is important, for decision makers, to customize the supply chain strategies in ...

Due to the exponential increase in information requirements on the one hand1, and in the number of heterogonous and distributed sources on the other. Several integration approaches, including information mediation have been suggested. The main purpose ...

In today's world, information seekers are confronted with a large volume of very heterogeneous and varied data combined with the multilingual, which makes it difficult to find the most relevant digital educational resource that meets the user's needs. ...

In this paper we present an approach to transform Home Area Network (HAN) model, described in SDL (Specification and Description Language), into DTPromela (Discrete-Time Promela) model. The aim is to prepare the DTPromela model in order to verify and ...

Nowadays, the Information Technology (IT) is so dynamic in terms of innovation and the clients' needs are so demanding to gain the competitive advantage that an IT governance framework are a necessity. It permits to the organization to be agile, to ...

The Moroccan public drugs supply chain is a complex system of interrelated entities involved in providing drugs to the public hospitals. The supply chain management is conducted by the Procurement Division. The procurement process is very challenging; ...

The topology of multiparty conference networks has a prominent impact on its performance. In fact, a dense topology may produce high overload and low capacity, while a sparse topology may be susceptible to network partitioning and additional delay. In ...

In general, most warehouse managers lack timely and quality information derived from traditional warehouse management systems. This paper proposes a design of intelligent warehouse capable of tracking good's static and dynamic data in a real-time basis. ...

Differences in the learners' personality have an impact on their learning outcomes and achievements. Therefore, there is a need to automatically predict and identify their personalities in an unobtrusive way, and build the learner model accordingly. In ...

In this paper we present a short term forecasting framework for stock markets based on Artificial Neural Networks. We are interested in predicting future trends of stock markets (Up, Down and Unchanged) in the very short term (10 to 60 minutes ahead). ...

Recently the increasing need for implementing sustainable development concept in industrial system's strategies is imposing the use of relevant tools that facilitate the design and management of overall performance that supports the contribution of ...

The Internet of things is perceived today as a key opportunity for commercial development in different sectors of activity that can be deployed in the local level as in the case of smart homes, at the regional level as in the case of health, or at the ...

Many researches and studies attempted to handle dynamically process model deviations by providing an adequate process model in order to decrease the cost of the process change (ability to react to internal and external changes).

Collecting the process ...

Recommendation systems have become an entrenched part of emarket platforms as they help offer personalized user experience, increasing thus loyalty, satisfaction and lifetime value. Although great effort has been devoted to the proposal, implementation ...

Machine learning is a field within artificial intelligence that allows machines to learn on their own from existing information to make predictions or/and decisions. There are three main categories of machine learning techniques: Collaborative filtering ...

Governments are considered as one of the major producers of data. Opening up and publishing this Big Government Data in national portals have significant impact on fostering innovation, improving transparency, public accountability and collaboration. ...

The present research explored the impact of the aural feedback generated by text-to-speech (TTS) on Arabic language learners. A web-based dictation platform was developed for this purpose. It enables the users to have their text read out loud as they ...

Existing data mining techniques has been used to find out which online products are relevant in terms of having high sales. There has not been much work done to ensure online customer satisfaction by analyzing its click stream data to enhance e-...

In the last few years, the environment protection has become a reel concern in all areas. The "Green" label is thus widely used by commercials to glamorize their products, while in practice, this aspect is still neglected. Even in IT domains, the Green ...

In the last decades Machine Learning achieved notable results in various areas of data processing and classification, which made the creation of real-time interactive and intelligent systems possible. The accuracy and precision of those systems depends ...