Abdallah Makhoul

Abdallah Makhoul
University of Franche-Comté | UFC · Institut FEMTO-ST

Full Professor

About

161
Publications
26,293
Reads
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2,217
Citations
Citations since 2016
115 Research Items
1903 Citations
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Publications

Publications (161)
Article
Full-text available
In the recent years, fire departments started to build databases containing detailed information about their interventions during fires, road accidents, and other types of incidents. Their goal is to invest this information using data analysis methods in order to better understand the trends of certain events. This could help them enhance the manag...
Article
Full-text available
Determining the writer or transcriber of historical Arabic manuscripts has always been a major challenge for researchers in the field of humanities. With the development of advanced techniques in pattern recognition and machine learning, these technologies have been applied to automate the extraction of paleographical features in order to solve thi...
Chapter
It has recently been shown that pre-emergency transport, whether performed by firefighters or private ambulances, has a predictive character due to the fact that rescue is directly related to human activity, which is itself predictable. XGBoost has emerged as the best tool to predict the number of interventions by type, but how to design an optimal...
Preprint
Full-text available
Interpreting the performance results of models that attempt to realize user behavior in platforms that employ recommenders is a big challenge that researchers and practitioners continue to face. Although current evaluation tools possess the capacity to provide solid general overview of a system's performance, they still lack consistency and effecti...
Article
Full-text available
In this era, we need to make everything about us more smartly and communicating. Hence, the popularity of Internet of Thing (IoT) is increasing quickly across industries. In such networks, the sensors represent the eyes of the IoT that collect data about different environments and states, while the sink node forms the brain of the network that must...
Article
Full-text available
Several recent research has centered on maximizing Internet of Things (IoT) devices’ lifetime by deploying data reduction techniques on IoT nodes to reduce data transmission. Data compression methods can be seen as a direct way of achieving energy efficiency. The trade-off between compression ratio and data distortion is usually considered when usi...
Conference Paper
Full-text available
In this paper, we propose a new self-reconfiguration method based on organizing modules in meta-modules that form a 3D porous structure allowing modules to flow in parallel inside of it without blocking. We first propose a new meta-module model which can be used to fill in its internal volume an additional number of modules and describe the structu...
Article
Full-text available
In the IoT era, the number of devices connected to it continues to grow significantly. This can lead to an increase in the amount of reported data by these IoT devices. The reported data by the Sensor Nodes (SNs) to the Gateway (GW) drives these IoT sensors to consume their energy and storage. These problems can be solved by reducing the amount of...
Chapter
In this paper, we present a distributed Id assignment algorithm for modular robots. Our proposed solution supports both the removal and the addition of particles in the system, while maintaining particular characteristics in the logical tree, allowing for fast and efficient inter-module communications. The key goal here is to maintain easily calcul...
Chapter
Full-text available
Predicting the number of firemen interventions to size the appropriate workload of firefighters to the appropriate need is vital for reducing material and human resources. Therefore, it will have a great impact on reducing the financial crisis resulting from global warming and population growth. The database in this research includes interventions...
Conference Paper
Nowadays, the IoT applications benefit widely many sectors including healthcare, environment, military, surveillance, etc. While the potential benefits of IoT are real and significant, two major challenges remain in front of fully realizing this potential: limited sensor energy and decision making in real-time applications. To overcome these proble...
Chapter
Modular robots are robots built from multiple modules which can reconfigure the shape of the whole robot. This makes them a promising technology to realize highly adaptable and re-configurable robots. One of the main challenges in modular robotics is to detect and heal the system from a state of partial or complete disconnection. Partial disconnect...
Chapter
Full-text available
Firefighters are exposed to many hazards. The main objective of this study is to apply machine learning techniques to tailor the need for firemen operations to their demands. This strategy enables fire departments to organize their resources, which leads to a reduction of human, material and financial requirements. This work focuses on predicting t...
Chapter
Full-text available
Embedding music genre classifiers in music recommendation systems offers a satisfying user experience. It predicts music tracks depending on the user’s taste in music. In this paper, we propose a preprocessing approach for generating STFT spectrograms and upgrades to a CNN-based music classifier named Bottom-up Broadcast Neural Network (BBNN). Thes...
Article
Full-text available
This paper proposes a novel methodology based on machine learning (ML) techniques to predict both the victims' mortality and their need for transportation to health facilities using data gathered from the start of the emergency call until the Departmental Fire and Rescue Service of the Doubs (SDIS25) is notified. We first analyzed SDIS25 calls to f...
Article
Full-text available
Given that the Internet traffic speed and volume are growing at a rapid pace, monitoring the network in a real-time manner has introduced several issues in terms of computing and storage capabilities. Fast processing of traffic data and early warnings on the detected attacks are required while maintaining a single pass over the traffic measurements...
Article
Full-text available
Recently, the need for fast, cost-effective, convenient, and non-invasive cardiovascular analysis techniques has been the primary and most attractive reason to use photoplethysmogram (PPG). Most wearable devices on the market today can collect PPG data and enable the measurement of important features such as heart rate, respiration rate, and blood...
Article
Full-text available
Recommender systems have been upgraded, tested, and applied in many, often incomparable ways. In attempts to diligently understand user behavior in certain environments, those systems have been frequently utilized in domains like e-commerce, e-learning, and tourism. Their increasing need and popularity have allowed the existence of numerous researc...
Article
Full-text available
With the Internet's unprecedented growth and nations' reliance on computer networks, new cyber‐attacks are created every day as means for achieving financial gain, imposing political agendas, and developing cyberwarfare arsenals. Network security is thus acquiring increasing attention among researchers, practitioners, network architects, policy mak...
Chapter
Modular robots are automated modules that can change their morphology self-sufficiently and progressively for control or reconfiguration purposes. Self-reconfiguration is a very challenging problem in modular robots systems. Existing algorithms are complex and not suitable for low resources devices. In this paper, we propose a parallel and fully di...
Chapter
Time series forecasting is one of the most attractive analysis of dataset that involves a time component to extract meaningful results in economy, biology, meteorology, civil protection services, retail, etc. This paper aims to study three different time series forecasting algorithms and compare them to other models applied in previous researchers’...
Article
Full-text available
The vision for programmable matter is to create a material that can be reprogrammed to have different shapes and to change its physical properties on demand. They are autonomous systems composed of a huge number of independent connected elements called particles. The connections to one another form the overall shape of the system. These particles a...
Conference Paper
With the growth of artificial intelligence techniques the problem of writer identification from historical documents has gained increased interest. It consists on knowing the identity of writers of these documents. This paper introduces our baseline system for writer identification, tested on a large dataset of latin historical manuscripts used in...
Article
Full-text available
Control chart algorithms aim to monitor a process over time. This process consists of two phases. Phase I, also called the learning phase, estimates the normal process parameters, then in Phase II, anomalies are detected. However, the learning phase itself can contain contaminated data such as outliers. If left undetected, they can jeopardize the a...
Article
Full-text available
Underwater Collaborative Body Sensor Network (UCBSN) is an important application of Underwater Wireless Sensor Networks (UWSNs). It allows monitoring the performance and status of group of persons in underwater environments to take appropriate actions. In this article, an optimal cluster‐based routing scheme that was previously validated for BSNs a...
Article
Full-text available
The Internet of Things (IoT) is a vision in which billions of smart objects are linked together. In the IoT, “things” are expected to become active and enabled to interact and communicate among themselves and with the environment by exchanging data and information sensed about the environment. In this future interconnected world, multiple sensors j...
Article
Full-text available
The rapid development of medical sensors has increased the interest in Wireless Body Area Network (WBAN) applications where physiological data from the human body and its environment is gathered, monitored, and analyzed to take the proper measures. In WBANs, it is essential to design MAC protocols that ensure adequate performance and Quality of Ser...
Article
Full-text available
Several theoretical studies have clearly demonstrated that the Dual Prediction Mechanism (DPM) remains the most efficient technique for data reduction in Wireless Sensor Networks (WSNs). In real world, the deployed sensor nodes suffers from packet loss and even failures which renders the DPM unreliable, since it requires flawless synchronization be...
Article
Full-text available
In Body Sensor Networks (BSNs), medical sensors capture physiological data from the human body and send them to the coordinator who acts as a gateway to healthcare. The main aim of BSNs is to save peoples’ lives. Therefore, fast and correct detection of emergencies while maintaining low energy consumption of sensors are essential requirements of BS...
Article
Full-text available
Internet of Things (IoT) and wearable systems are very resource limited in terms of power, memory, bandwidth and processor performance. Sensor time series compression can be regarded as a direct way to use memory and bandwidth resources efficiently. On the other hand, the time series classification has recently attracted great attention and has fou...
Article
Full-text available
Wireless sensor networks (WSN) have become the rising stars of technology. Every object in this world tends to be sensorly developped, monitored and controlled. Monitoring an area of interest for security reasons for mil-litary applications, catastrophic natural events, ... gives each captured frame a huge importance to be able to achieve this surv...
Article
Wireless sensor networks (WSN) have become the rising stars of technology. Every object in this world tends to be sensorly developped, monitored and controlled. Monitoring an area of interest for security reasons for mil-litary applications, catastrophic natural events, ... gives each captured frame a huge importance to be able to achieve this surv...
Article
Full-text available
In the modern age, recommender systems are becoming a prominent and essential solution to the information overload problem, however, they are immensely susceptible to two significant types of noise: malicious noise that is caused by attacks and natural noise that is due to the human error. Many detection algorithms attempt to solve the noise proble...
Chapter
Neighborhood-based Collaborative Filtering (CF) is one of the most successful and widely used recommendation approaches; however, it suffers from major flaws especially under sparse environments. Traditional similarity measures used by neighborhood-based CF to find similar users or items are not suitable in sparse datasets. Sparse Subspace Clusteri...
Article
Full-text available
In this article, we used wireless sensor network (WSN) techniques for monitoring an area under consideration, in order to diagnose its state in real time. What differentiates this type of network from the traditional computer ones is that it is composed by a large number of sensor nodes having very limited and almost nonrenewable energy. A key issu...