El Hassan Abdelwahed

Cadi Ayyad University | UCAM · Department of Computer Science

In the transformative field of mineral processing, the need for innovative technologies to overcome inherent difficulties and a critical shortage of high-quality data is an acute challenge. This study addresses these pressing issues by leveraging advanced spatio-temporal deep learning techniques, specifically Convolutional Long Short-Term Memory (C...

In the dynamic landscape of modern manufacturing, the pursuit of efficiency, reliability, and optimal performance has prompted the integration of cutting-edge technologies. Among these, digital twins (DT) have emerged as transformative tools, offering a virtual representation of physical processes, systems, and equipment. This paper delves into the...

In minerals processing, the froth flotation is one of the widely used process that separates valuable mineral components from their associated gangue materials. The efficiency of this process relies on several factors, such as feed characteristics, particle size, pulp flow rate, pH, conditioning time, aeration, reagents system and many other affect...

This research presents an approach to single-lane road detection using computer vision techniques, facilitated by a compact camera module. The system captures real-time footage, processed by a Raspberry Pi. The study showcases a prototype of an autonomous vehicle constructed for multiple applications such as transportation and deliveries. The model...

Digitalization is crucial for achieving product quality, cost reduction, and timely delivery in manufacturing. With the rise of Industry 4.0, Digital Twin technology has gained popularity, enabling real-time monitoring, predictive maintenance, process optimization, and assumption testing. Manufacturing Digital Twins utilize digital models to repres...

The electrification of transportation with new electric and hybrid smart vehicles has been accelerated as part of the fight against climate change. Increased performance and lower costs of related components such as lithium-ion batteries, electric motors, and motor drives have also aided the transition to electric mobility. Nonetheless, new smart t...

In this study, we explore the effectiveness of a hybrid modelling approach that seamlessly integrates data-driven techniques, specifically Machine Learning (ML), with physics-based equations in Simulation. In cases where real-world data for industrial processes is insufficient, a simulation tool is employed to generate an extensive dataset of proce...

The control of the froth flotation process in the mineral industry is a challenging task due to its multiple impacting parameters. Accurate and convenient examination of the concentrate grade is a crucial step in realizing effective and real-time control of the flotation process. The goal of this study is to employ image processing techniques and C...

The mining industry’s continuous pursuit of sustainable practices and enhanced operational efficiency has led to an increasing interest in leveraging innovative technologies for process monitoring and optimization. This study focuses on the implementation of Convolutional Neural Networks (CNN) for real-time monitoring of differential flotation circ...

In the mining industry, accurate monitoring of the elemental composition in the flotation froth is crucial for efficient minerals separation. The hybrid deep learning algorithms offer powerful computational intelligence for real-time monitoring of froth quality in flotation processes. This soft sensor tool can provide valuable information for proce...

E-learning platforms have become increasingly popular across various industries, with higher education institutions being among the primary adopters. Learning management systems (LMSs) have emerged as valuable tools that facilitate the management of learning and training processes while providing support for learning administration. However, LMS pl...

Accurate monitoring of the mineral grades in the flotation froth is crucial for efficient minerals separation in the mining industry. In this study, we propose the use of ConvLSTM, a type of neural network that combines Convolutional Neural Networks (CNNs) and Long Short-Term Memory (LSTM) networks, to create a model that can extract spatial and te...

Motivation - The ability to track and predict students’ performance can be useful to all the stakeholders (students, tutors, administration, teachers, and researchers) to understand the teaching-learning process, especially in online learning environments, and to prevent the student at-risk of failing the academic pathways.Purpose - The purpose of...

Graphs have become a new form of knowledge representation used by many IT leaders due to their importance and their new way of representing knowledge. The recent trend of artificial intelligence imposed itself on several domains, including graphs. From this point, researchers start looking for powerful ways to apply AI algorithms in graphs. Graph e...

Underground mining operations present critical safety hazards due to limited visibility and blind areas, which can lead to collisions between mobile machines and vehicles or persons, causing accidents and fatalities. This paper aims to survey the existing literature on anti-collision systems based on computer vision for pedestrian detection in unde...

Beside all the challenges regarding climate change, resources scarcity and quality degradation of deposits, the mining industry is becoming an environment that is constantly under pressure and restrictive. The increasing of raw materials prices, the unstable and high volatile commodity prices, the decreasing ore grades and the rising energy cost ha...

Accurate and timely investigation to concentrate grade in mining industry is a premise of realizing real time and efficient control in a froth flotation process. This study seeks to use image processing and artificial intelligence technologies to predict the elemental composition of minerals in the flotation froth. The online analyzer is a flotatio...

Digital learning presents a new way to learn more effectively, efficiently, flexibly and comfortably anywhere, anytime, with the opportunity for lifelong learning. It enables educators to create an efficient learning environment for a successful learning experience. The learner can use smart devices to access digital resources through a wireless ne...

The presence of interaction and mutual support functionalities offered by online social networks has increased in e-learning systems. Current collaborative learning platforms have witnessed the emergence of many resources, relationships and interactions provided by social information systems, leading to an information overload. Indeed, this phenome...

The pandemic of the COVID-19 has accelerated the digital transformation oflearning and training. Many industries, especially higher education institutions,have been using e-Learning platforms. Learning Management System (LMS) inparticular, has gained popularity as a tool capable of managing learning andtraining processes as well as supporting learn...

The approaches of user profile enrichment come up with novel algorithms to better understand users’ preferences. It allows business advertisement companies collecting collective intelligence data resulting from crowdsourcing. The enrichment is based on adding tags to the profiles. However, it stills unable to better understand the heterogeneity of...

The mining industry is facing global challenges with undergoing significant market-changing demand and competitiveness. It has become imperative for mining companies to keep up with the real-time visibility on production quality and control, cycle times, machine status, and other important operational variables. In order to reach smart manufacturin...

In the age of “Data Science and Advanced Analytics”, we are witnessing a race for developing data-driven smart systems in various domains such as business, finance, healthcare, environment, cybersecurity, etc. due the explosion of the data issued by various providers. This development contributes in getting added value for companies and citizens. T...

Research on digital cultural heritage has raised the importance of providing visitors with relevant assistance before and during their visits. With the advent of the social web, the cultural heritage area is affected by the problem of information overload. Indeed, a large number of available resources have emerged coming from the social information...

The emergence of collaborative interactions has empowered users by enabling their interactions through tagging practices that create a folksonomy, also called, classification of the shared resources, any identifiable thing or item on the system. In education, tagging is considered a powerful meta-cognitive strategy that successfully engages learner...

To support health professionals in making decisions, CDSS are developed to manage the patients' EHR, improve the way of diagnosis, and treatment of diseases. The process of analyzing EHRs is based on reading free‐text notes. However, it spends time and physicians' efforts. In this case, the most used solution is describing the EHRs with shortcut ta...

Early childhood education has become a prevalent public policy issue. It has a serious impact on the child's personality, upbringing, education, socialization, development, and academic success from the preschool period to the university and beyond. In general, traditional teaching methods usually have a fixed learning structure which disables the...

Recently, Image processing (IP) and Machine learning (ML) algorithms have been successfully used in a wide variety of industry sectors. In this paper, we first provide mining engineers with the state of the art about IP and ML applications in the mining industry. furthermore, we propose a real time application for froth image analysis in the contex...

The social web interactions have extended the sharing and the growth of web resources on the web. The collaborative web services (folksonomies) enable users to assign their freely chosen keywords (tags) to describe web resources. The advent of folksonomy has evolved the role of web users from consumers to contributors of information. Thus, users at...

Research on visitor support systems for museums and cultural sites has been particularly important in recent years. Many research projects have been created to assist the visitor before and during his visit. The cultural heritage area is affected by the problem of information overload. With the advent of the social web, a large number of available...

Education provides useful social life skills in order to prepare future proficient leaders. In this regard, a pedagogical scenario is needed to maximize children’s learning in terms of apprehending the knowledge, improving their attitudes, etc. Wherefore, why we don’t benefit from the natural way of learning? Playing, represent a natural and privil...

Social networks are increasingly used to exchange information. The social users are the main origin of the shared web resources and contents. However, they are also influenced by these shared data. The exchanges and interactions produced are an important element for defining the profiles of these users. In this paper, we investigate modeling of ind...

The widespread use of the Electronic Health Records EHRs has increasingly emerged in the healthcare industry. The structured and unstructured forms of EHRs are implemented in a Clinical Decision Support System CDSS. The CDSS is an health information technology system designed to provide healthcare professionals with clinical decision support. In th...

Early childhood education has become a prevalent public policy issue. It has a serious impact on the child's personality, upbringing, education, socialization, development, and academic success from the preschool period to the university and beyond. In general, traditional teaching methods usually have a fixed learning structure which disables the...

Early childhood education has a high impact on the success of higher education. Besides, it allows a sustainable social and economic development of the country. It enables a relevant upbringing and education of future generations by providing the necessary skills and competencies. This is especially regarding African developing countries and rural...

This book constitutes the refereed proceedings of the 8h International Conference on Model and Data Engineering, MEDI 2018, held in Marrakesh, Morocco, in October 2018. The 23 full papers and 4 short papers presented together with 2 invited talks were carefully reviewed and selected from 86 submissions. The papers covered the recent and relevant to...

Within powerful social web interactions, we have witnessed an explosive growth of shared documents on the web. Indeed, the social web has been scaled up with massive shared web resources annotated by ordinary folks. The collection of folks’ tags creates a folksonomy. This collaborative tagging system enables an open exploration of each user’s tags...

Entrepreneurship constitutes a key driver providing jobs and wealth creation. Besides, promoting entrepreneurship can play significant role to ensure the prosperity of a society. In this respect our article aims to foster entrepreneurship education, through focusing on the effectiveness of serious games as educational tools, whose goal supporting y...

The end user service development known as the user-centric SOA emerged as a new approach that allows giving the end user the ability to create on the fly his own applications that meet a situational need. In fact, the classical SOA was designed for developers and is characterized by a heavy technical stack which is out of reach of end users. The us...

In the Web of Things, devices of daily life are empowered through a web-enabling process to become integrable with computer network. These devices – called smart objects – are becoming very useful both in enterprises and in simple users daily life; in fact, they provide easy access to useful services and can collaborate with each other to build a c...

The end user service development known as the user-centric SOA emerged as a new approach that allows giving the end user the ability to create on the fly his own applications that meet a situational need. In fact, the classical SOA was designed for developers and is characterized by a heavy technical stack which is out of reach of end users. Lightw...

User-centric SOA is a new paradigm allowing unskilled end users to compose services to create new one. Mashups represent new agile and quick ways to compose and integrate structured and unstructured resources, from different types existing on the web. Mashups emerged as a new way to democratize the SOA and realize the user-centric SOA; However, Mas...

Although SOA was successful for many years, today it has reached its limits due to many reasons including the heavy stack of standards that make difficult the creation of applications instead of simplifying it. Another major drawback is the neglect of the creative potential of the user, not involved in the life cycle of the SOA software. In this pa...

Although SOA was successful for many years, today it has reached its limits due to many reasons including the heavy stack of standards that make difficult the creation of applications instead of simplifying it. Another major drawback is the neglect of the creative potential of the user, not involved in the life cycle of the SOA software. In this pa...

Personality and individual differences are effective parameters in human activities such as learning. Since the learning style of each learner is different, we must fit learning to the different needs of learners. In this paper, an innovative learning approach is proposed by considering the learner's preferences. Using the Myers-Briggs Type Indicat...

The Center for Spatial Studies of the Biosphere (CESBIO, Toulouse, France) and the National Center of Studies and Researches on Water and Energy (CNEREE, Marrakech) are co-leader of a Joint International Laboratory entitled "Remote sensing and water ressources in the semi-arid Mediterranean area" funded by the French Research Institute for Developm...

Personalized e-learning implementation is recognized one of the most interesting research areas in thedistance web-based education. Since the learning style of each learner is different we must to fit elearning to the different needs of learners. This paper discusses teaching strategies matching with learner’s personality using the Myers-Briggs Typ...

The Mashup - a new Web 2.0 technology - has emerged as a new way to promote and to enable the End User Development approach. In fact, as underlined by (Boris Büchel and al., 2009), the Mashup targets the inexperienced end-user, and allows him to develop his own applications. The Service Oriented Architecture (SOA) is enhanced and made user-centric...

Several research of adaptive learning mainly focused on improving student learning achievements based on learning style, cognitive style or achievement. In this paper, an innovative learning approach is proposed by using the Myers-Briggs Type Indicator's (MBTI) personality dimensions. Based on the innovative approach, a framework for building an ad...

Several research of adaptive learning mainly focused on improving student learning achievements based on learning style, cognitive style or achievement. In this paper, an innovative learning approach is proposed by using the Myers-Briggs Type Indicator's (MBTI) personality dimensions. Based on the innovative approach, a framework for building an ad...

Learning Objects (LOs) are the most important teaching constituent of training. Their index efficiently make reusable and thereafter profitable. In this article, we propose to supplement the standard LOM-fr by adding a sub-category indexing skills developed by LO based on three educational taxonomies. To adapt the standard LOM-fr of these requireme...

The e-learning is a distance learning system which offers training courses and custom tailored to the needs of learners. It is a measure allowing users to progress at their own pace. learning objects LOs are the most important teaching constituents in each training. Their index efficiently make reusable and thereafter profitable. In this article, w...

Nowadays, many ontologies are created and are applied in variety of contexts and application areas. They are used to explicit formalization of the conceptualization of the domain to support information integration for example. But a given domain can be conceptualized through many different ontologies. Thus multiple ontologies connected by semantic...

This paper presents a multi-layered functional data model to support multiple representation and information sharing among distributed spatial information systems. The key idea is that a geographical space (foe example an urban space) can be viewed as a set of abstract spatial functionalities on which different application classes can be derived to...

Emerging applications such as cartography and multi-representation require new data modelling concepts to take into account specific characteristics of geographical data such as multi representation and dynamic spatial objects. This paper presents a multi-layered functional data model that allows the specification of geographic data at two levels:...

The domain ontology plays central role as a resource structuring the learning content and supporting flexible adaptive strategies. In this paper, we study the contributions of ontologies for the construction of models and tools from which various services for the actors of an e-learning could be developed. The objective is to adapt user preferences...

Within the last years, many ontologies are created and are accessible over the web. On the other hand, ontologies are used in many applications to explicit formalization of the conceptualization of the domain, but a given domain can be conceptualized through many different ontologies. Thus multiples ontologies connected by semantic relations emerge...

Personalized e-learning implementation is recognized as among one of the most interesting research areas in the distance Web-based education. Since the learning style of each learner is different we must to fit e-learning to the different needs of learners. This paper presents an Adaptive e-learning model based personality learner's. To recognize t...