Papers by El Hassan Abdelwahed
Artificial intelligence for enhanced flotation monitoring in the mining industry: A ConvLSTM-based approach
Computers & Chemical Engineering
Conv-LSTM for Real Time Monitoring of the Mineral Grades in the Flotation Froth
Proceedings of the 12th International Conference on Data Science, Technology and Applications
Digital Twins-Based Smart Monitoring and Optimisation of Mineral Processing Industry
Communications in computer and information science, 2022
Anti-Collision System for Accident Prevention in Underground Mines using Computer Vision
2022 The 6th International Conference on Advances in Artificial Intelligence
The pandemic of the COVID-19 has accelerated the digital transformation oflearning and training. ... more 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 learning process and administration. Itpresents an important package of services and features capable of facilitating andenhancing the e-Learning experience. Nevertheless, LMS offers only a few, if notno, functionalities when it gets to tracking the instructional progress of students.Progress in a learning experience is indicative of how students interact withcourses and learning materials. Based on such interaction, the teacher can detectlower performers, project students’ progress, and anticipate the ones at risk aswell as those who need intervention. The use of the LMS generates an importantamount of data. This data can become extremely usef...
Artificial Neural Network with Learning Analytics for Student Performance Prediction in Online Learning Environment
Lecture notes in networks and systems, 2023
Disruptive Innovation in Mining Industry 4.0
Springer eBooks, Jul 23, 2021
Graph Neural Networks to Improve Knowledge Graph Embedding: A Survey
Lecture notes in networks and systems, 2023
Springer eBooks, 2021
The use of general descriptive names, registered names, trademarks, service marks, etc. in this p... more The use of general descriptive names, registered names, trademarks, service marks, etc. in this publication does not imply, even in the absence of a specific statement, that such names are exempt from the relevant protective laws and regulations and therefore free for general use.
The Impact of Multicore CPUs on Eco-Friendly Query Processors in Big Data Warehouses
2022 IEEE International Conference on Big Data (Big Data), Dec 17, 2022
Predicting energy consumption of grinding mills in mining industry : A review
INTERNATIONAL CONFERENCE ON ADVANCES IN COMMUNICATION TECHNOLOGY AND COMPUTER ENGINEERING
The Impact of Multicore CPUs on Eco-Friendly Query Processors in Big Data Warehouses
2022 IEEE International Conference on Big Data (Big Data)
Personalized e-learning implementation is recognized as among one of the most interesting researc... more 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 the learner’s personality, this system uses the Myers-Briggs Type Indicator's (MBTI) personality dimensions. Secondly, it will propose a Personalized Education System LearnFit Framework that suggests a learning style matching with learner’s preference in online distance learning education.
Un framework pour les simulations individu-centrées en dynamique de population
Sensors
Underground mining operations present critical safety hazards due to limited visibility and blind... more 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 underground mines, categorize them based on the types of sensors used, and evaluate their effectiveness in deep underground environments. A systematic review of the literature was conducted following the PRISMA (Preferred Reporting Items for Systematic Reviews and Meta-Analyses) guidelines to identify relevant research work on anti-collision systems for underground mining. The selected studies were analyzed and categorized based on the types of sensors used and their advantages and limitations in deep underground environments. This study provides an overview of the anti-collision systems used in underground mining, including cameras and lidar ...
Lecture Notes in Computer Science, 2012
The use of general descriptive names, registered names, trademarks, etc. in this publication does... more The use of general descriptive names, registered names, trademarks, etc. in this publication does not imply, even in the absence of a specific statement, that such names are exempt from the relevant protective laws and regulations and therefore free for general use.
Proceedings of the 15th International Conference on Enterprise Information Systems, 2013
User-centric SOA is a new paradigm allowing unskilled end users to compose services to create new... more 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, Mashups are emerging applications, and thus consist of immature, non intuitive and non formalized area. In this paper, we formalize the user-centric SOA development by proposing a new cloud-based architecture for user-centric SOA platforms, and by introducing a new rich integration language based on the advanced Enterprise Integration Patterns (EIPS). We also propose a new intuitive and self-explanatory semantic methodology and interaction model for end users services integration. Through these contributions, we give the promise of realizing the user-centric SOA.
Dynamic Collaborative Learning Based on Recommender Systems and Emergent Collective Intelligence in Online Learning Communities
Lecture notes in educational technology, 2022
Personalised Learning Paths for Smart Education: Case Studies from Cadi Ayyad University
Lecture notes in educational technology, 2022
This volume presents the proceedings of the scientifi workshops that were held in conjunction wit... more This volume presents the proceedings of the scientifi workshops that were held in conjunction with the 8th International Conference on Model and Data Engineering (MEDI 2018), which took place in Marrakech, Morocco, October 24–26, 2018. Four workshops were selected on a wide range of topics that fall into the main area of the MEDI 2018 conference: –The Model and Data Engineering for Social Good Workshop (MEDI4SG 2018) –The International Workshop on Modeling, Verification, and Testing of Dependable Critical Systems (DETECT 2018) –The Second International Workshop on Cybersecurity and Functional Safety in Cyber-Physical Systems (IWCFS 2018) –The International Workshop: Formal Model for Multifaceted Systems (REMEDY)
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Papers by El Hassan Abdelwahed