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Introduction
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Publications
Publications (89)
This study focuses on developing a novel decision-making system for oncologists to select the most suitable treatment strategy for breast cancer patients. The proposed system, called the Hybrid Model Process of Treatments (HMPT), is designed to assist oncologists by incorporating patient history, experiences, and responses. We analyzed clinical, di...
The integration of technology in education, particularly through the combination of adaptive learning and Artificial Intelligence (AI), has significantly transformed teaching and learning methodologies. This paper addresses the challenges associated with manually planning study paths and modules at universities, including the ordering of relationsh...
In networks characterized by imbalanced traffic, detecting malicious cyber-attacks poses a significant challenge due to their ability to blend seamlessly with regular data volumes. This creates a formidable hurdle for Network Intrusion Detection Systems (NIDS) striving for accurate and timely identification. The imbalance in normal and attack data,...
Abstract
Signal strength degradation represents a variation in the coverage area for radio networks. Building maps that represent this degradation requires collecting information about signal coverage in scattered locations, which can be done conventionally by measurement methods such as the manual drive test. Nevertheless, as this process is larg...
In urban environments, emergency medical services are grappling with the challenge of traffic congestion, which can adversely impact patient outcomes by delaying timely medical intervention. To address this growing concern, this study introduces an advanced hospital selection and routing system designed to optimize emergency patient ambulance trans...
A study of the impact of radiation from cell phones and base stations on both human health and the environment is more and more dangerous. The use of cell phones is an integral part of daily routine and improves the quality of life. However, the very huge concern about people’s exposure to radio frequencies and their negative impact on human health...
This paper aims to showcase state-of-the-art machine learning and data analysis methodologies, with a specific focus on incorporating the K-means algorithm to elevate the operational efficiency of wind farms. The primary goal is to streamline decision-making processes within the realm of wind energy. This research explores the application of artifi...
The potential impact of climate change on olive cultivation in Mediterranean regions, with a specific focus on Djibouti, is studied, and a smart agriculture approach, based on climate change adaptation, is proposed. This study, conducted in Djibouti, examines the utilization of advanced technologies such as data mining, artificial intelligence, the...
Multi-omics approaches play a crucial role in breast cancer treatment planning by providing a comprehensive view of the molecular underpinnings of the disease this information is invaluable for tailoring treatment strategies to individual patients, improving treatment outcomes, and advancing our understanding of breast cancer biology.
The selection...
This literature review explores the vital role of both classic and intelligent software testing in ensuring the quality and safety of medical software. Classic approaches establish a solid foundation for testing and ensuring adherence to regulatory standards. On the other hand, intelligent testing methods, leveraging artificial intelligence, machin...
Fake news is a severe problem on social media networks, with confirmed detrimental consequences for individuals and organizations. As a result, detecting false news is a significant difficulty. In this way, the topic of new fakes and their proper detection are crucial. General knowledge states that the receiver of information must verify the source...
Information Extraction (IE) is the process of automatically extracting pertinent information from unstructured or semi-structured data, and it typically involves the analysis of human language text through natural language processing (NLP). Rules-based methods (RBM), Supervised-learning-based methods, and Unsupervised-Learning-based methods are the...
Evaluation is very important for monitoring the progress of students’ learning, especially when it comes to distance learning, as it makes it easier for tutors of online courses to monitor the learners’ learning via the results obtained in each test to ensure that the course has been understood by them and that the proposed course meets the learnin...
With the rapid development of society, the employability of university careers, as an important part of the Moroccan economy, shows an upward trend in government priorities, especially with a series of social contradictions and causes social unrest in severe cases. It's about that protester who struggles with finding and keeping decent work, moving...
The mastery of the development cycle of a project, especially in software development, has become a need and an unavoidable necessity to produce a deliverable with value. Thus, to satisfy the requirements of users who have become more volatile. In this regard, the Agile manifesto, or Manifesto for Agile software development, has been proposed to br...
In this paper, we propose an adaptive and an interactive system that manages the process of employee transportation from data collection to report generation and user notification. The proposed system management the available vehicle capacities to minimize financial losses, minimize employee waiting time; improve the real-time monitoring of employe...
In general, the choice of a mobile package offered by operators does not depend solely on the price of services. However, the criterion of the network coverage of operators remains the most relevant parameter that influences the choice of services in relation to the geolocation of customers. Therefore, network coverage testing by operators is essen...
Tracking of human beings, as well as objects, becomes a great challenge currently presented, it aims to understand the fundamental principles of objects and human beings detected to associate them with robust systems for treaties and draw the desired conclusions. Tracking generally uses several methods such as graph theory, technological tools, Int...
The road congestion subject has been a very popular one nowadays and also a very challenging one, many solutions have been proposed to solve this phenomena, short-term forecasting, or the estimation of daily to the next few days’ condition of traffic flow is a crucial component of cutting-edge driver assistance systems and can be seen as a real sol...
This paper uses some artificial intelligence algorithms to predict cerebrovascular accident, according to the analysis of patients’ records. The goal of this work is to analyze the correlation between different risk factors using Support Vector Machine (SVM), Random Forest and Logistic Regression algorithms. We also compare the accuracy and roc cur...
Agriculture is one of the sectors that data mining learned before becoming popular. Today, it helps in making smart decisions on a variety of agricultural challenges such as eliminating difficult manual tasks and predicting crop yields based on climate change data.We present a new AGRI-PREDI solution that uses new intelligent agro-climatic function...
In recent years death rates is extremely increasing due to breast cancer. Currently, it is the most commonly diagnosed malignancy among women around the globe. Despite the studies made early detection of breast cancer there is a need for predicting factors and biomarkers of treatment response.Early monitoring of the effectiveness of treatment can t...
Diabetes is one of the most common diseases in the world for which there is still no cure. Every year it costs a lot of funds to treat people with diabetes. The prediction of diabetes will play a very significant role. This prediction has to be very accurate by using machine learning methods in order to maximize the accuracy of the prediction. Howe...
Epileptic seizures are caused by sudden electric discharges in neurons irregular transient operation; hence this generates cerebral neurological dysfunction. The seizures can be mortal because it occurs unexpectedly. Artificial intelligence prediction methods could avoid any injuries relatives to the seizure. There are several causes of seizures. I...
Technological and computational advancements used to generate and process large sets of biological data (omics data) are driving a critical change in the study of biomedical sciences and medicine. While genomics, transcriptomics, and proteomics, coupled with bioinformatics and biostatistics, are gaining momentum, for the most part, assessed individ...
Created an analysis technology platform in the perimeter of Loukkos (Larache) aims to promote both access to reference technical data, expertise data or calculation functions to try to create new decision support tools, or new services for the stakeholder players. Tools used in precision agriculture help agricultural producers improve the managemen...
The increase in private car usage in cities has led to limited knowledge and uncertainty about traffic flow. This results in difficulties in addressing traffic congestion. This study proposes a novel technique for dynamically calculating the shortest route based on the costs of the most optimal roads and nodes using instances of road graphs at diff...
In a context of variability and fluctuations of demand, we study, in this work, an extension of the problem of dynamic cellular manufacturing considering the environmental constraints in particular the constraints of CO2 emissions in order to develop a green dynamic cellular manufacturing. The paper first presents a mathematical formulation in the...
The cultivation of strawberries in the Loukkos perimeters is subject to constraints inherent to its profitability, which can be categorized as follows: the choice of plant material, profitability and technical supervision in terms of technical itineraries and health supervision. Exactly, these last ten years, we have seen the decline of several var...
It is becoming increasingly clear that the Internet and social media have become a very rich source of information on the subject of suicide, which facilitates the study of the opinions, feelings and ideas that has suicidal tendencies. Those sources of information can be used to build a predictive system capable of processing sentiments expressed i...
The rising number of vehicles inside the cities and keeping the same road map makes managing the traffic flow very difficult, especially at peak time. The problem becomes worse when drivers use the same paths and shortcuts at the same time. Which generally results in congestion, that is an urban mobility problem that causes economic, social and env...
The use of data analytics and decision-making techniques offers us a great opportunity to improve the quality of education during the different cycles. Returning to our communication entitled “Smarter Crossing Analytics System to Predict and Anticipate the Student Behavior for Self-Automatic Adaptation of Academic Learning”, we concluded that 75% o...
Greywater is a wastewater discharge originating from kitchen sinks, showers, baths, washing machines and dishwashers. Properly treated greywater can be recycled to meet global water shortages that is expected to affect 2.7 billion people around the world by 2025. Global water shortage can result in a reduction in agricultural land and increased dis...
The use of new technologies and industrialization in everyday life have a direct impact on the consequences of cultural, scientific, and demographic change that diversifies and densifies social relations, and makes individuals more interdependent and complementary. The large amount of data (Big Data) derived from the use of New Technologies solutio...
No one can deny the effect of modernization on different aspects of people` life. Education, communication and even social relationship have undergone different changes.
Knowledge of meteorological or climatic data in a region is essential for the successful development of agriculture, energy and sustainable development in this region. The main goal of this article is the proper use of the data mining technique for meteorological and agricultural data to help in the development of agriculture in Mediterranean regio...
Finding the employee pickup location plan is a hard work for transportation companies because it is a manual task that takes hours of work with the possibility of error. In this context, we propose an adaptive decision system that allows transport companies to find the optimal path. The proposed system is based on an optimization process that maxim...
Currently, we find that the genetic algorithm (GA) and artificial neural networks (ANN) are massively applied in various fields, especially for complex medical problems. in this study aims to develop an intelligent system in order to monitor the evolution of breast cancer and predict appropriate therapeutic protocol. The objective of this work is t...
Questions classification which consists of assigning a category to each question is a crucial process in question answering systems. Deep neural networks have appeared to be effective in several text mining applications such as text categorization, information retrieval, etc. However, these models have not gained much attention in the field of Arab...
In such a variant market, establishment of fixed warehouses for a company remains very risky. Short or medium-term rental warehousing is therefore an effective solution. In this study, we are working on the optimization of reusable containers management in Closed-Loop Supply Chain where warehouses localization is variable during a multi-period plan...
When multiple functionalities are integrated in the same embedded platform, it is highly likely that some of them will be more critical to the survival of the system than others. Mixed criticality systems (MCS) are based on the concept of allowing applications with multiple levels of criticality to seamlessly interact and coexist on the same platfo...
In contrast to several domains (such as industry and economy) that have used the development of Big Data, artificial intelligence approaches and decision support systems, the field of education does not know a revolutionary deployment of this technology. In this perspective, we suggest an innovative approach for observing and analysing students’ be...
Ubiquitous computing have many challenges including the limitation of multi-domain, intensive mobility of users, the lack of a uniform namespace limited resources, lack of scalability, intensive applications… all of this leads researchers to provide ubiquitous hybrid architectures that are typically cloud- based. In this article, we propose a cloud...
This proceedings book presents extended versions of papers on advanced intelligent systems for networks and system selected from the second edition of the International Conference on Advanced Intelligent Systems for Sustainable Development (AI2SD’2019), which was held on 8–11 July 2019 in Marrakech, Morocco. The book explores a number of aspects of...
This book contains the latest researches on advanced intelligent systems applied in the field of education presented during the second edition of the International Conference on Advanced Intelligent Systems for Sustainable Development (AI2SD’2019) held on July 08–11, 2019, in Marrakech, Morocco.
The book proposes new approaches and innovative strat...
This book summarizes the latest research on advanced intelligent systems in the fields of energy and electrical engineering, presented at the second edition of the International Conference on Advanced Intelligent Systems for Sustainable Development (AI2SD’2019), held in Marrakech from 8 to 11 July 2019, Morocco. This book is intended for researcher...
This book highlights the latest research in the fields of health care and agriculture, presented at the second installment of the International Conference on Advanced Intelligent Systems for Sustainable Development (AI2SD-2019), held on July 08–11, 2019 in Marrakech, Morocco.
Gathering contributions by respected researchers in the field of agricult...
This book gathers papers presented at the second installment of the International Conference on Advanced Intelligent Systems for Sustainable Development (AI2SD-2019), which was held on July 08–11, 2019 in Marrakech, Morocco. It offers comprehensive coverage of recent advances in big data, data analytics and related paradigms. The book consists of f...
In this book, the authors explore technological advances in the fields of multimedia processing and mathematical modeling by highlighting the latest research in this field, discussed at the International Conference on Advanced Intelligent Systems for Sustainable Development (AI2SD-2019), held on July 08–11, 2019 in Marrakech, Morocco.
In addition t...
This book gathers papers from the International Conference on Advanced Intelligent Systems for Sustainable Development (AI2SD-2019), held on July 08–11, 2019 in Marrakech, Morocco, which address the environment, industry and economy, and the role of advanced intelligent systems and computing in connection with these three fields.
The book includes...
Purpose-This paper aims to investigate the best methods of utilisation of reclaimed asphalt pavements (RAP) in Egypt, to determine the effect of using 100% RAP instead of using virgin aggregates and asphalt; investigate the effect of thermoplastic elastomer polymer as asphalt modifier; and also improve the mechanical and physical characteristics an...
On a technical level, the cultivation of strawberry in Morocco has developed remarkably during the last 20 years. During the 2016–2017 crop year, this crop covers 3.050 hectares of land, including 180.378.742 strawberry plants imported from various varieties: Sabrina, San Andreas, Fortuna, Festival, Camarosa, Splendor and others. The period from 19...
Cloud Wireless Sensor Networks consist of a large number of miniature devices called sensor nodes scattered over a geographical area called sensor field. These nodes are attempted to collect information or data which is forwarded through gateways called base stations. The communication scenario through sensor nodes leads to some amount of energy wa...
Artificial neural networks (ANN) are currently massively used in different fields, especially for very complex problems. In this work we propose an approach to use these systems, and in particular the paradigm of the self-organizing map (SOM) in the medical field. The idea is to use this paradigm to develop an intelligent system able of learning to...
Sometimes the experience of Doctors is not enough sufficient to guide patients perfectly and predict exactly the best treatments to follow and give results with high accuracy. For this reason, it is very important to get a predictive model, resulting in effective and accurate decision making. Our main goal is to make a significant contribution towa...
The increasing use of social media provides unprecedented access to the behaviors, thoughts, feelings and intentions of individuals. We are interested, in this paper, in the detection of notes that express bad feelings that might lead to committing suicide. Our goal is to present an automated detection and prediction system capable of recognizing s...
This study assesses and predicts the impact of climate change on the harvest of agricultural crops in Morocco using the data mining approach. Several econometric models have been tested based on primary data. These models made it possible to establish part of the relationship between agricultural income and climatic variables (temperature and preci...
This paper has a twofold objective: on the one hand it focuses mainly on the study of agricultural substances that lead to the pollution of the environment and have a direct negative impact on agricultural production. Knowing today there are about fifteen controlled substances. Other non-regulated environmental pollutants are the subject of our res...
The evolution of computing and the appearance of the parallel architecture pushed the world to reconsider all the existing algorithm and enhance their performance given the impact that parallel programing could do to improve the performance. And it’s worth to be tried on NP-Complete problems such as TSP and its variants. The traveling salesman prob...
Intrusion detection systems have the ability to analyze data and monitor traffic to detect malicious behaviors. Many research studies have been conducted to increase the performance of such systems in order to enforce security policy of information systems. In this paper we investigate the efficiency of deep neural networks in intrusion detection....
Based on adaptatif system and decision theory, this paper introduces a new language to manage Decision Network for proposing services to a dynamic event after an adaptation. The new approach presents several solutions to critiques situations but the most problem was how we can manage and structure the decisions in the database. To solve this proble...
This book gathers papers presented at the International Conference on Advanced Intelligent Systems for Sustainable Development (AI2SD-2018), which was held in Tangiers, Morocco on 12–14 July 2018. Highlighting the latest research and advances in the field of healthcare, it shares essential insights into the health sector, and is intended to stimula...
This book gathers papers presented at the International Conference on Advanced Intelligent Systems for Sustainable Development (AI2SD-2018), which was held in Tangiers, Morocco on 12–14 July 2018. In addition to the latest research in the field of energy, it offers new solutions, tools and effective techniques, and provides essential information on...
This book gathers papers presented at the International Conference on Advanced Intelligent Systems for Sustainable Development (AI2SD-2018), which was held in Tangiers, Morocco on 12–14 July 2018. It highlights how advanced intelligent systems have successfully been used to develop tools and techniques for modeling, prediction and decision support...
This book gathers papers presented at the International Conference on Advanced Intelligent Systems for Sustainable Development (AI2SD-2018), which was held in Tangiers, Morocco on 12–14 July 2018. Highlighting the latest research and findings in the field of agriculture, it provides new solutions, efficient tools and techniques that draw on modern...
Computers and other smart gadgets have become of a paramount importance in today’s transactions. Connected to the Internet, those devices offer the possibility to benefit from a myriad of electronic services including social networking, banking, trade marketing, education, … etc. Such activities are producing huge volume of information transiting w...
Because they’re facilitating life, using computers and other intelligent devices associated with internet has become vital in those days. Banking transactions, education, trade marketing, texting … are all daily and important operations that relies on such technology. Information systems that handle those operations must be kept secure from any int...
In this paper, we conduct a comparative study about the impact of stemming algorithms, as feature extraction systems, on the task of classification of Arabic text documents. Stemming is forceful and fierce as in reducing words to their three-letters roots. Which may influence the semantics, as various words with divers implications may share the sa...
With the existence of several energetic resources and local production site by consumers a new strategy for managing the distribution of energy is indispensable. This paper aims to develop a simulation platform for energy resources management of a Micro Grids Network to optimize the electricity consumption. Using the remote control systems and data...
Using computers and other intelligent devices associated with internet has become vital in the modern life. Banking transactions, education, trade marketing, social networking, etc. are all examples of those daily and important operations that rely on such technologies, which have generated a large amount of data transiting with high velocity in th...
The field of agriculture is extremely climate change, intra- and inter-seasonal variations cause temperatures to rise and variations in rainfall, which decreases seasonal crop yields and increases the probability of short-term crop failures and a reduction in long-term production.
However, this relationship between climate change and agriculture ar...
The massive diffusion of Cloud services in the internet led to increasing demands of services and cloud infrastructure are conduct to an increasing in energy consumption in datacenters, which has presents interesting great challenge. In this paper, we propose new strategy of allocation resources,
with intelligent management of resources our approac...
The massive diffusion of Cloud services in the internet led to increasing demands of services and cloud infrastructure are conduct to an increasing in energy consumption in datacenters, which has presents interesting great challenge. In this paper, we propose new strategy of allocation resources, with intelligent management of resources our approac...
In a heterogeneous dynamic environment, such as disasters, the continuous adaptation is a perfect solution to offer the adequate services to clients. This Concept is a key to process varying requirement of different users. This is why; we must model the user's context information and structure the services according to the user profile. In this pap...
Kohonen self-organization algorithm, known as “topologic maps algorithm”, has been largely used in many applications for classification. However, few theoretical studies have been proposed to improve and optimize the learning process of classification and clustering for dynamic and scalable systems taking into account the evolution of multi-paramet...
The knowledge extraction is an interactive and iterative process of analyzing a mass of raw data with the aim of extracting distributed knowledge, usable and adaptable to a given situation and profile. In the perspectives of implementing a medical knowledge extraction system, we present in this paper the study, design and development of an incremen...
The automatic programming is an essential phase in the adaptation of information systems because it allows the system to advance from its observations on the environment. The system is formed during the operation by creating gradually its own ontology of the domain; therefore it is necessary that the knowledge stored evolve in an automatic way and...
This study aimed to assess the effects of nicotine on spermatogenesis in 140 mature male albino rats divided into group A (controls), group B (sham controls), group C (nicotine treated) and group D (nicotine withdrawal). Group C was subdivided into CI, CII, CIII according to the dose of injected nicotine (0.2, 0.4 and 0.6 mg nicotine per 100 g per...
Offsprings C57BL/6 mice (4 weeks old) coming from either moderately infected (40 S. mansoni cercariae) or heavily infected (100 S. mansoni cerariae) mothers, were exposed to 40 S. mansoni cercariae each. Seven weeks post infection (P.I.), Offsprings were sacrificed. In both groups there was significant reduction in the worm load, both hepatic and i...
Sixty female C57BL/6 mice were infected with 40 Schistosoma mansoni cercariae each. Seven weeks later, they were mated with normal syngeneic males. Uninfected mice (30) were bred in parallel, and both groups were bred several more times with daily records of pregnancy, delivery and number of offsprings. The number of pregnancy was 146, with 50 surv...
