Mahmoudi Saïd

Mahmoudi Saïd
Université de Mons · Department of Computer Science

Prof.

About

204
Publications
50,368
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1,897
Citations
Additional affiliations
September 2005 - present
Université de Mons
Position
  • Professor (Associate)

Publications

Publications (204)
Article
Full-text available
Nowadays, smart buildings rely on Internet of things (IoT) technology derived from the cloud and fog computing paradigms to coordinate and collaborate between connected objects. Fog is characterized by low latency with a wider spread and geographically distributed nodes to support mobility, real-time interaction, and location-based services. To pro...
Article
Objective This work aims to create an automatic detection process of cardiac structures in both short-axis and long-axis views. A workflow inspired by human thinking process, for better explainability. Methods we began by separating the images into two classes: long axis and short axis, using a Residual Network model. Then, we used Particle Swarm...
Preprint
Full-text available
Sketch-based image retrieval (SBIR) is the task of retrieving natural images (photos) that match the semantics and the spatial configuration of hand-drawn sketch queries. The universality of sketches extends the scope of possible applications and increases the demand for efficient SBIR solutions. In this paper, we study classic triplet-based SBIR s...
Article
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The aging of the world's population, the willingness of elderly to remain independent, and the recent COVID-19 pandemic have demonstrated the urgent need for home-based diagnostic and patient monitoring systems to reduce the financial and organizational burdens that impact healthcare organizations and professionals. The Internet of Medical Things (...
Preprint
Cloud Computing is a paradigm allowing access to physical and application resources online via the Internet. These resources are virtualized using virtualization software to make them available to users as a service. In this environment, the migration of virtual machines (VMs) is a significant concern these days. This technique provided by virtuali...
Article
Breast tumor is one of the causes of women’s death in the world after cardiovascular diseases. Recently, the diagnosis and treatment planning of this kind of tumors are based on magnetic resonance imaging techniques, which are the reference imaging modality in breast tumors analysis since it can better differentiate soft tissues (compared to mammog...
Article
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INTRODUCTION: Atherosclerosis is a chronic medical condition that can result in coronary artery disease, strokes, or even heart attacks. early detection can result in timely interventions and save lives. OBJECTIVES: In this work, a fully automatic transfer learning-based model was proposed for Atherosclerosis detection in coronary CT angiography (...
Article
Full-text available
The emergence of the Internet of Things (IoT) allows the integration of everyday devices such as tags, sensors, and actuators into the Internet. IoT also provides handy and automatic techniques to interoperate ad‐hoc, heterogeneous, and mobile networks and simplify data sharing among devices by abstracting their capabilities as services. Neverthele...
Article
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Indexing images by content is one of the most used computer vision methods, where various techniques are used to extract visual characteristics from images. The deluge of data surrounding us, due the high use of social and diverse media acquisition systems, has created a major challenge for classical multimedia processing systems. This problem is r...
Article
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During the last years, deep learning (DL) models have been used in several applications with large datasets and complex models. These applications require methods to train models faster, such as distributed deep learning (DDL). This paper proposes an empirical approach aiming to measure the speedup of DDL achieved by using different parallelism str...
Article
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The recent floods have shown that the classic monitoring systems for water courses are no longer adapted because other phenomena such as the insufficient capacity and/or obstruction of drainage networks, the modification of cultivation practices and rotations, the increase in the size of plots linked to the reparcelling, the urbanization of floodab...
Article
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Agriculture 4.0 is a domain of IoT in full growth which produces large amounts of data from machines, robots, and sensors networks. This data must be processed very quickly, especially for the systems that need to make real-time decisions. The Kappa architecture provides a way to process Agriculture 4.0 data at high speed in the cloud, and thus mee...
Article
During the last years, computer vision-based diagnosis systems have been widely used in several hospitals and dermatology clinics, aiming mostly at the early detection of malignant melanoma tumor, which is among the most frequent types of skin cancer, versus other types of nonmalignant cutaneous diseases. They grow in melanocytes, the cells respons...
Article
Now more than ever, optimizing resource allocation in cloud computing is becoming more critical due to the growth of cloud computing consumers and meeting the computing demands of modern technology. Cloud infrastructures typically consist of heterogeneous servers, hosting multiple virtual machines with potentially different specifications, and vola...
Article
Mammographic density is known to be a risk indicator for breast abnormalities development. Therefore, the breast tissue classification is an important part used in computer aided diagnosis (CAD) system to detect the cancer. In this paper, a CAD system for breast tissue classification using an equilibrating approach is proposed. The first contributi...
Article
Mammographic density is known to be a risk indicator for breast abnormalities development. Therefore, the breast tissue classification is an important part used in computer aided diagnosis (CAD) system to detect the cancer. In this paper, a CAD system for breast tissue classification using an equilibrating approach is proposed. The first contributi...
Article
Full-text available
The Internet of Things and multimedia devices generate a tremendous amount of data. The transfer of this data to the cloud is a challenging problem because of the congestion at the network level, and therefore processing time could be too long when we use a pure cloud computing strategy. On the other hand, new applications requiring the processing...
Preprint
Distributed Deep Learning (DDL) is using a multi-node architecture to apply Deep Learning (DL) counter to Federated Deep Learning (FDL) where entities keep their data and contribute to a common DL task like training a model. The more nodes there are, the more network traffic increases in DDL which requires more time to distribute the load and to ap...
Article
Every day, a large number of people with brain injury are received in the emergency rooms. Due to the large number of slices analyzed by the doctors for each patient and to accelerate the diagnosis, the development of a precise computer-aided diagnosis system becomes very recommended. The aim of our work is developing a tool to help radiologists in...
Article
Full-text available
Multimedia applications deal, in most cases, with an extremely high volume of multimedia data (2D and 3D images, sounds, videos). That is why efficient algorithms should be developed to analyze and process these large datasets. On the other hand, multimedia management is based on efficient representation of knowledge which allows efficient data pro...
Chapter
Recently, Artificial Intelligence (AI) and more particularly Deep Learning (DL) applications gained significant importance in several domains such as computer vision, robotics, medical imaging, etc. Despite the excellent results of AI models, in terms of precision and performance, their decisions are not always interpretable and explainable, which...
Article
The next weave of Mobile Ad hoc Networks and Wireless Sensor Networks stands for the Internet of Things which aims to build a new ecosystem integrating the physical world with the digital one. Such a concept combines smart objects and the Internet infrastructure to ensure the ubiquitous accessibility, monitoring, and management of IoT resources lik...
Article
Deep learning presents an efficient set of methods that allow learning from massive volumes of data using complex deep neural networks. To facilitate the design and implementation of algorithms, deep learning frameworks provide a high-level programming interface. Based on these frameworks, new models, and applications are able to make better and be...
Article
The Automatic semantic segmentation of the hippocampus is an important area of research in which several convolutional neural networks (CNN) models have been used to detect the hippocampus from whole cerebral MRI. In this paper we present two convolutional neural networks the first network ( Hippocampus Segmentation Single Entity HSSE) segmented th...
Article
Full-text available
The Agriculture 4.0 also called Smart Agriculture or Smart Farming is at the origin of the production of a huge amount of data that must be collected, stored and processed in very short times. Processing this massive quantity of data needs to use specific infrastructure that use adapted IoT architectures. Our review offers a comparative panorama of...
Article
Full-text available
Agriculture 4.0 is a domain of IoT in full growth which produces large amounts of data from machines , robots and sensors networks. This data must be able to be processed very quickly, especially for systems that need to make real-time decisions. The Kappa architecture provides a way to process Agriculture 4.0 data at high speed in the cloud and th...
Article
Full-text available
Received: Accepted: Numerous bibliographic reviews related to the use of AI for the behavioral detection of farm animals are existed, but they only focus on a particular type of animal. We believe that some techniques used for some animals could also be used for other types of animals. The application and comparison of these techniques between anim...
Article
Nowadays, cancer is one of the leading causes of human death in the world. In 2020, breast carcinoma represented 11.7% of cancers reported in the female world population. Medical imaging is crucial for breast cancer screening and occupies a large place in diagnosis. Early screening with digital mammography is the key factor of successful detection...
Article
Introduction. In the field of research, we are familiar to employ ready-to-use commercial solutions. This bibliographic review highlights the various technological paths that can be used in the context of agriculture digitalization and illuminates the reader on the capacities and limits of each one. Literature. Based on a literature review that we...
Chapter
Fast and efficient collaboration among researchers is a crucial task to advance effectively in Covid-19 research. In this chapter, we present a new collaborative platform allowing to exchange and share both medical benchmark datasets and developed applications rapidly and securely between research teams. This platform aims to facilitate and encoura...
Chapter
The latest advances of deep learning and particularly convolutional neural networks (CNNs) have proven more than once their high accuracy in disease detection. In this chapter, we propose a new deep learning-based approach for COVID-19 detection from chest X-ray images. The proposed approach applies, in an efficient way, the techniques of transfer...
Conference Paper
Full-text available
Phytotron also called growth chambers are research installations where environmental parameters such as temperature , humidity, irrigation, conductivity, lighting, and CO2 are finely controlled. This kind installation allows on one hand to measure the impact environment modification and on the other hand optimize the natural grow of plants. With th...
Conference Paper
Full-text available
Internet of Things (IoT) is becoming widely present in our daily life. In fact, more and more devices able to interact together have been recently designed and launched in the market. Learning IoT technologies is becoming unavoidable in education. In this paper, we propose a demonstrator allowing to learn, using example, which is an essential conce...
Book
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This book presents innovative solutions utilising informatics to deal with various issues related to the COVID-19 outbreak. The book offers a collection of contemporary research and development on the management of Covid-19 using health data analytics, information exchange, knowledge sharing, the Internet of Things (IoT), and the Internet of Everyt...
Article
Full-text available
Wheat variety recognition and authentication are essential tasks of the quality assessment in the grain chain industry, especially for seed testing and certification processes. Recognition and authentication by direct visual analysis of grains are still achieved manually. The automatic approach, based on computer vision and machine learning classif...
Article
Full-text available
Landslides are phenomena that cause significant human and economic losses. Researchers have investigated the prediction of high landslides susceptibility with various methodologies based upon statistical and mathematical models, in addition to artificial intelligence tools. These methodologies allow to determine the areas that could present a serio...
Article
Full-text available
The latest advances in machine learning and in particular with convolutional neurons (CNN) have proven more than once their great accuracy in the detection of diseases. In this paper, we present a new approach for COVID-19 detection from chest X-ray images using Deep Learning algorithms. An efficient process consisting of techniques of transfer lea...
Conference Paper
Full-text available
Smartphones, particularly iPhone, can be relevant instruments for researchers because they are widely used around the world in multiple domains of applications such as animal behavior. iPhone are readily available on the market, contain many sensors and require no hardware development. They are equipped with high performance inertial measurement un...
Article
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The sharing of experimental dataset and benchmark between research teams is particularly import for the cross validation of models and algorithms developed. In practice the sharing of data is difficult because certain legislations must be respected protecting privacy, copyrights, etc. In this paper, we propose a scientific collaborative platform to...
Article
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In a growing population context with less resources of soil and water, the irrigated agriculture allows us to increase the yield and the production of several crops in order to meet the high requirements of demands of food and fibers. Efficiently, an irrigation system should correctly evaluate the amount of water and also the timing, when apply cer...
Article
Full-text available
Landslides are phenomena widely present around the world and responsible each year of numerous life loss and extensive property damage. Researchers have developed various methodologies to identify area of high susceptibility of landslides. However, these methodologies cannot predict 'when' landslides are going to take place. Indeed, Wireless Sensor...
Article
Full-text available
Data-driven decision-making solutions are under increasing demand in healthcare for development, testing, and trials, with the intention of such solutions being available in both hospitals and homes. This special issue will offer valuable perceptions to researchers and engineers on how to design robust multimedia medical data analytics systems and...
Conference Paper
Full-text available
Smart Campus can be assimilated to small smart cities in which learning experience and living conditions are improved by smart environment and IoT concepts. In this paper, we present (R)evoCampus our Smart Campus solution based diverted smart Home interoperable protocol platforms, micro controllers ESP32, low-cost sensors. This architecture uses at...
Conference Paper
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With climate change, habitat loss, and impoverishment of food sources, several species of bird are are threatened today. It is crucial to conserve the biodiversity in ecosystems but the conservation that requires an improved knowledge of these. In this paper, we propose a connected nest box that make photos of nestling and measures them weight with...
Article
Full-text available
Smart Poultry acquires data from aviaries by means of sensor network at reduced intervals of time (every minute) that generatehundred thousands of data. The conjunction of Internet of Things and Artificial Intelligence open the field of the real-time mon-itoring of poultry, advance analytics and automation if data is from high quality. In this pape...
Article
Full-text available
Artificial intelligence (AI) and Internet of things (IoT) have progressively emerged in all domains of our daily lives. Nowadays, both domains are combined in what is called artificial intelligence of thing (AIoT). With the increase of the amount of data produced by the myriad of connected things and the large wide of data needed to train Artificia...
Article
Full-text available
Climatic chamber are enclosures where the ambient conditions, i.e. the temperature and humidity, are finely controlled. These speakers can play multiple roles such as the cultivation of plants (phytotron), the breeding of insects or habitat for exotic animals. In this paper, we propose a versatile and automated modular climatic enclosure system tha...
Book
Full-text available
Submission Deadline : June 30, 2020 (500 words) Scope The COVID-19 outbreak is among the most significant tragedies the world has ever faced. It has already killed hundreds of thousands of people; millions of people are infected, billions of people are in lockdown, and this is costing trillions of USDs to the world economy. Intelligent healthcare i...
Article
The hippocampus is a complex structure of the bilateral brain located in the temporal lobe below the surface of the cortex, its function is indispensable in cognitive processes, it is one of the first structures affected in Alzheimer's disease, epilepsy and schizophrenia by volumetric atrophy detected in their layers and this can be measured by seg...
Article
The last few years have been marked by the presence of very large sets of images and videos in our everyday lives. These multimedia objects have a very fast frequency of creation and sharing since images and videos can come from different devices such as smartphones, satellites, cameras, or drones. They are generally used to illustrate objects in d...
Article
Full-text available
Breast cancer screening is a public health issue. Knowing that one in nine women will be affected by this disease, the detection of its first signs is crucial. Computer Assisted Diagnostic Systems (CADx) can help the radiologist to read mammograms and play a key role in the early detection of breast cancer. Nowadays, machine learning algorithms are...
Article
Full-text available
Screening for coronary artery disease is a major health issue, knowing that the most common cause of death in industrialized countries is cardiovascular pathology (coronary artery disease, stroke, other cardiovascular disease). Computer aided diagnosis systems (CADx) assist cardiologists and play a key role in detecting abnormalities and treating c...
Article
Full-text available
Digital Phenotyping is a emergent science mainly based on imagery techniques. The tremendous amount of data generated needs important cloud computing for their processing. The coupling of recent advance of distributed databases and cloud computing offers new possibilities of big data management and data sharing for the scientific research. In this...
Article
Full-text available
In the era of Big data, data-driven farming is changing the agricultural businesses thanks to the use of modern technologies such as the Internet of Things (IoT) sensors, drones, and farm monitoring. IoT devices produce a massive amount of precious agri-data, which are collected and analyzed in real-time using innovative application tools. This com...
Article
Full-text available
Nowadays, we are in the era of advanced technologies where tremendous amount of data is produced by multiple sources such as sensors, devices, social media, user experiences, etc. Furthermore, this raw data has a low value, and major part is not really useful or important for business. One way to give an added value to this stored data is to extrac...
Article
Full-text available
Smartphones, particularly iPhone, can be relevant instruments for researchers in animal behavior because they are readily available on the planet, contain many sensors and require no hardware development. They are equipped with high performance Inertial Measurement Units (IMU) and absolute positioning systems analyzing users’ movements, but they ca...
Article
Full-text available
The important increase of the elderly population and their desire to conduct an independent life, even when having medical diseases related to their age, requires the development of new technologies to ensure optimal living comfort for this population. In addition, another category of people, those who are patients with life-threatening problems, m...
Poster
Full-text available
Plusieurs modèles de CNN (InceptionV3, Xception, VGG16, …) ont été testés sur des bases de données publiques constituées d'images mammographiques annotées (MIAS, INbreast, DDSM, ...) dont la performance a été améliorée grâce à différentes actions combinées visant à augmenter les données d'apprentissage. L'objectif consiste à examiner l'efficacité d...
Conference Paper
Full-text available
In this paper, we propose a computer-aided diagnostic (CAD) system for breast images based on a statistical characterization combined to a classifier method. In the module of computer-aided detection (CADe), the co-ocurrences matrix was applied to the whole of image, while in the module of computer-aided identification (CADx), the same matrix was c...
Conference Paper
Prostate segmentation in magnetic resonance images is an important task in medical imaging applications such as : guiding biopsy, surgery and therapy. Meanwhile, the structure and surrounding tissues of the prostate gland, the non-Gaussian distribution of prostate appearances in MR images and shape inter and intra- variability poses many difficulti...
Article
Full-text available
Mammography provides a useful tool for breast cancer detection. However, many doctors have difficulty in making the right decision based on mammograms. This paper aims to set up a deep learning (DL) architecture that can effectively differentiate between benign and malignant tumors. Specifically, a new triplet convolutional neural network (CNN) was...
Poster
Full-text available
The given statistics of death by breast cancer each year are still anxious. This have pushed the scientific community to proposed several method to improve the process of diagnostic and treatment. As the histological image analyses represent a critical step to decide the state of cancer, we have proposed a statistical comparison between different d...