BENTAIB Mohssine | Hassan II University of Casablanca (original) (raw)
Papers by BENTAIB Mohssine
Journal of Theoretical and Applied Information Technology , 2024
The amount of data that is available to enterprises today comes from many different sources, incl... more The amount of data that is available to enterprises today comes from many different sources, including social networks, sensors, and IoT devices. In order to discover trends, draw conclusions, produce projections, and make informed decisions, this enormous amount of data needs to be stored across a variety of platforms for processing and analysis. The capacity of conventional EDs is surpassed by the quantity and quality of data that is being collected. To accomplish this, businesses with current data warehouses must pick a storage architecture with enough storage and processing power for this kind of data. They must choose one of the following options: The data warehouse can either (i) develop into a big data warehouse, (ii) be replaced by a data lake, or (iii) be combined with a data lake to create a data LakeHouse. In this article, we aim to find the best choice for the storage of varied and voluminous data. To do this, we examine the big data warehousing literature. After doing a comparison of the various architectures put forth, we draw a conclusion outlining the optimum storage practice.
Learning management system (LMS) such as Claroline, Ganesha, Chamilo, Moodle, are commonly and we... more Learning management system (LMS) such as Claroline, Ganesha, Chamilo, Moodle, are commonly and well used in e-education (e-learning). Most of theTechnology Enhanced Learning (TEL) focus on supporting teachers in the creation and organization of online courses. However, in general, they do not consider individual differences of each learner. In addition, they do not provide enough indicators which will help to track the learners. In this paper, we investigate the benefits of integrating learning styles in the Web-based educational systems. Also, we are interested in the use of interaction traces in order to address the lack of feedback between the learner and the teacher. Generally, we aim to offer a tool that allows the tutor and the instructional designer to interpret learner courses, in order to provide help as needed for each individual.
Organic chemistry, Oct 6, 2016
IOSR Journal of Research & Method in Education (IOSRJRME), 2014
Our work is concerned with monitoring and periodic evaluation of students' skills acquired during... more Our work is concerned with monitoring and periodic evaluation of students' skills acquired during their university education. The objective of our work is to provide software tools for supporting and mentoring students in order to improve their quality of life. We suggest a computing device "ISIFePortfolio" which not only allows monitoring of learners, but also plays the role of an ePortfolio (electronic portfolio) skills, and a social networking combined systems. This tool includes a broad range of collaborative working solutions and the ePortfolio is considered an extension of the "paper" records of a student as an individual digital space available on the Internet in such a secure and personalized way, collecting personal resources, experiences, studies, acquired skills, relationships with trainers, working groups, classmates and that will be saved throughout the training course. Based on Mahara technology, "ISIFePortfolio" is an application implemented by ORDIPU team at the University Hassan II Mohammedia-Casablanca. It has been integrated into the platform of distance education "Education Master ISIF" for the master "Engineering Information Systems and Training."
International Journal of Open Information Technologies, 2019
The goal of every company and public sector organization is to provide quality service to their c... more The goal of every company and public sector organization is to provide quality service to their customers and make them satisfied. However, as we move to-wards a more connected world where technology has been integrated into the business process, handling data has become more complicated. Today, businesses and High School Institutions (HSI) face one of the biggest challenge, which is characterized by the exponential growth of data storage in various formats such as plain text, relational database, etc. This massive data can be used to improve decision making and management, which requires proper extracting and cleaning methods. For that reason, data warehousing has become a major step in the knowledge discovery in databases (KDD) process which can guarantee a solid description of concepts and methods for transforming transactional data into analytical data formats. The aim of this paper is to provide a way to support and understand the educational processes of a HSI by offering a n...
International Journal of Emerging Technologies in Learning (iJET), 2019
Education and distance education often provide answers to several issues related to the transmiss... more Education and distance education often provide answers to several issues related to the transmission of knowledge, its design and acquisition. However, these virtual learning environments do not meet with the same degree of satisfaction for all users, it is probably im-perative to decide on the methodology of integrating transmission order size ergonomic, aes-thetic, practical, time relating ... all shared a concern, which is the consideration of the student user of these new technologies in order to develop that knowledge or general order of these skills in a specific discipline. Our research is mainly focused on this problem by providing a hand, a situation analysis based on practical experiences in Morocco, and affecting the integration of new technologies for education and training, and other hand, the presentation of a distance learning platform, bringing in an electronic environment and intelligent stakeholders, namely, trainers, coaches, learners, tutors, and mentors. Teacher...
Procedia - Social and Behavioral Sciences, 2015
International Journal of Emerging Technologies in Learning (iJET), 2021
Learning management system (LMS) such as Claroline, Ganesha, Chamilo, Moodle ..., are commonly an... more Learning management system (LMS) such as Claroline, Ganesha, Chamilo, Moodle ..., are commonly and well used in e-education (e-learning). Most of theTechnology Enhanced Learning (TEL) focus on supporting teachers in the creation and organization of online courses. However, in general, they do not consider individual differences of each learner. In addition, they do not provide enough indicators which will help to track the learners. In this paper, we investigate the benefits of integrating learning styles in the Web-based educational systems. Also we are interested in the use of interaction traces in order to address the lack of feedback between the learner and the teacher. Generally, we aim to offer a tool that allows the tutor and the instructional designer to interpret learner courses, in order to provide help as needed for each individual.
Taxonomy of Object Detection methods: A Survey
Object detection (OD) within a video is one of the relevant and critical research areas in the co... more Object detection (OD) within a video is one of the relevant and critical research areas in the computer vision field. Due to the widespread of Artificial Intelligence, the basic principle in real life nowadays and its exponential growth predicted in the epochs to come, it will transmute the public. Object Detection has been extensively implemented in several areas, including human-machine Interaction, autonomous vehicles, security with video surveillance, and various fields that will be mentioned further. However, this augmentation of OD tackles different challenges such as occlusion, illumination variation, object motion, without ignoring the real-time aspect that can be quite problematic. This paper also includes some methods of application to take into account these issues. These techniques are divided into five subcategories: Point Detection, segmentation, supervised classifier, optical flow, a background modeling. This survey decorticates various methods and techniques used in object detection, as well as application domains and the problems faced. Our study discusses the cruciality of deep learning algorithms and their efficiency on future improvement in object detection topics within video sequences.
International Journal of Emerging Trends in Engineering Research, 2022
Object detection (OD) within a video is one of the relevant and critical research areas in the co... more Object detection (OD) within a video is one of the relevant and critical research areas in the computer vision field. Due to the widespread of Artificial Intelligence, the basic principle in real life nowadays and its exponential growth predicted in the epochs to come, it will transmute the public. Object Detection has been extensively implemented in several areas, including human-machine Interaction, autonomous vehicles, security with video surveillance, and various fields that will be mentioned further. However, this augmentation of OD tackles different challenges such as occlusion, illumination variation, object motion, without ignoring the real-time aspect that can be quite problematic. This paper also includes some methods of application to take into account these issues. These techniques are divided into five subcategories: Point Detection, segmentation, supervised classifier, optical flow, a background modeling. This survey decorticates various methods and techniques used in ...
Journal of Theoretical and Applied Information Technology , 2024
The amount of data that is available to enterprises today comes from many different sources, incl... more The amount of data that is available to enterprises today comes from many different sources, including social networks, sensors, and IoT devices. In order to discover trends, draw conclusions, produce projections, and make informed decisions, this enormous amount of data needs to be stored across a variety of platforms for processing and analysis. The capacity of conventional EDs is surpassed by the quantity and quality of data that is being collected. To accomplish this, businesses with current data warehouses must pick a storage architecture with enough storage and processing power for this kind of data. They must choose one of the following options: The data warehouse can either (i) develop into a big data warehouse, (ii) be replaced by a data lake, or (iii) be combined with a data lake to create a data LakeHouse. In this article, we aim to find the best choice for the storage of varied and voluminous data. To do this, we examine the big data warehousing literature. After doing a comparison of the various architectures put forth, we draw a conclusion outlining the optimum storage practice.
Learning management system (LMS) such as Claroline, Ganesha, Chamilo, Moodle, are commonly and we... more Learning management system (LMS) such as Claroline, Ganesha, Chamilo, Moodle, are commonly and well used in e-education (e-learning). Most of theTechnology Enhanced Learning (TEL) focus on supporting teachers in the creation and organization of online courses. However, in general, they do not consider individual differences of each learner. In addition, they do not provide enough indicators which will help to track the learners. In this paper, we investigate the benefits of integrating learning styles in the Web-based educational systems. Also, we are interested in the use of interaction traces in order to address the lack of feedback between the learner and the teacher. Generally, we aim to offer a tool that allows the tutor and the instructional designer to interpret learner courses, in order to provide help as needed for each individual.
Organic chemistry, Oct 6, 2016
IOSR Journal of Research & Method in Education (IOSRJRME), 2014
Our work is concerned with monitoring and periodic evaluation of students' skills acquired during... more Our work is concerned with monitoring and periodic evaluation of students' skills acquired during their university education. The objective of our work is to provide software tools for supporting and mentoring students in order to improve their quality of life. We suggest a computing device "ISIFePortfolio" which not only allows monitoring of learners, but also plays the role of an ePortfolio (electronic portfolio) skills, and a social networking combined systems. This tool includes a broad range of collaborative working solutions and the ePortfolio is considered an extension of the "paper" records of a student as an individual digital space available on the Internet in such a secure and personalized way, collecting personal resources, experiences, studies, acquired skills, relationships with trainers, working groups, classmates and that will be saved throughout the training course. Based on Mahara technology, "ISIFePortfolio" is an application implemented by ORDIPU team at the University Hassan II Mohammedia-Casablanca. It has been integrated into the platform of distance education "Education Master ISIF" for the master "Engineering Information Systems and Training."
International Journal of Open Information Technologies, 2019
The goal of every company and public sector organization is to provide quality service to their c... more The goal of every company and public sector organization is to provide quality service to their customers and make them satisfied. However, as we move to-wards a more connected world where technology has been integrated into the business process, handling data has become more complicated. Today, businesses and High School Institutions (HSI) face one of the biggest challenge, which is characterized by the exponential growth of data storage in various formats such as plain text, relational database, etc. This massive data can be used to improve decision making and management, which requires proper extracting and cleaning methods. For that reason, data warehousing has become a major step in the knowledge discovery in databases (KDD) process which can guarantee a solid description of concepts and methods for transforming transactional data into analytical data formats. The aim of this paper is to provide a way to support and understand the educational processes of a HSI by offering a n...
International Journal of Emerging Technologies in Learning (iJET), 2019
Education and distance education often provide answers to several issues related to the transmiss... more Education and distance education often provide answers to several issues related to the transmission of knowledge, its design and acquisition. However, these virtual learning environments do not meet with the same degree of satisfaction for all users, it is probably im-perative to decide on the methodology of integrating transmission order size ergonomic, aes-thetic, practical, time relating ... all shared a concern, which is the consideration of the student user of these new technologies in order to develop that knowledge or general order of these skills in a specific discipline. Our research is mainly focused on this problem by providing a hand, a situation analysis based on practical experiences in Morocco, and affecting the integration of new technologies for education and training, and other hand, the presentation of a distance learning platform, bringing in an electronic environment and intelligent stakeholders, namely, trainers, coaches, learners, tutors, and mentors. Teacher...
Procedia - Social and Behavioral Sciences, 2015
International Journal of Emerging Technologies in Learning (iJET), 2021
Learning management system (LMS) such as Claroline, Ganesha, Chamilo, Moodle ..., are commonly an... more Learning management system (LMS) such as Claroline, Ganesha, Chamilo, Moodle ..., are commonly and well used in e-education (e-learning). Most of theTechnology Enhanced Learning (TEL) focus on supporting teachers in the creation and organization of online courses. However, in general, they do not consider individual differences of each learner. In addition, they do not provide enough indicators which will help to track the learners. In this paper, we investigate the benefits of integrating learning styles in the Web-based educational systems. Also we are interested in the use of interaction traces in order to address the lack of feedback between the learner and the teacher. Generally, we aim to offer a tool that allows the tutor and the instructional designer to interpret learner courses, in order to provide help as needed for each individual.
Taxonomy of Object Detection methods: A Survey
Object detection (OD) within a video is one of the relevant and critical research areas in the co... more Object detection (OD) within a video is one of the relevant and critical research areas in the computer vision field. Due to the widespread of Artificial Intelligence, the basic principle in real life nowadays and its exponential growth predicted in the epochs to come, it will transmute the public. Object Detection has been extensively implemented in several areas, including human-machine Interaction, autonomous vehicles, security with video surveillance, and various fields that will be mentioned further. However, this augmentation of OD tackles different challenges such as occlusion, illumination variation, object motion, without ignoring the real-time aspect that can be quite problematic. This paper also includes some methods of application to take into account these issues. These techniques are divided into five subcategories: Point Detection, segmentation, supervised classifier, optical flow, a background modeling. This survey decorticates various methods and techniques used in object detection, as well as application domains and the problems faced. Our study discusses the cruciality of deep learning algorithms and their efficiency on future improvement in object detection topics within video sequences.
International Journal of Emerging Trends in Engineering Research, 2022
Object detection (OD) within a video is one of the relevant and critical research areas in the co... more Object detection (OD) within a video is one of the relevant and critical research areas in the computer vision field. Due to the widespread of Artificial Intelligence, the basic principle in real life nowadays and its exponential growth predicted in the epochs to come, it will transmute the public. Object Detection has been extensively implemented in several areas, including human-machine Interaction, autonomous vehicles, security with video surveillance, and various fields that will be mentioned further. However, this augmentation of OD tackles different challenges such as occlusion, illumination variation, object motion, without ignoring the real-time aspect that can be quite problematic. This paper also includes some methods of application to take into account these issues. These techniques are divided into five subcategories: Point Detection, segmentation, supervised classifier, optical flow, a background modeling. This survey decorticates various methods and techniques used in ...