Ghalia Nasserddine

Rafik Hariri University · Department of Information Technology

After the COVID pandemic, the healthcare sector has faced many challenges as telehealth increased and the need for a secure and efficient healthcare record system became essential. Nowadays, the healthcare sector suffers from many problems, such as security, trust, availability of data, and drug traceability. Blockchain technology is a recent techn...

Employees are the leading resource of any company because they are the base of a strong and long-running organization. Their performance affects the overall evolution of the organization. Thus, modern companies have started spending an enormous amount on employee development. It is an essential process for employees and organizations. Companies hav...

The massive development of technology has affected commerce and given rise to e-commerce and online shopping. Nowadays, consumers prioritize e-shopping over the brick and motor stores due to numerous benefits, including time and transport convenience. However, this progressive upsurge in online payment increases the number of credit card frauds. Th...

After the COVID-19 pandemic, the healthcare sector has faced many challenges as telehealth increased and the need for a secure and efficient healthcare record system became essential. Nowadays, the healthcare sector suffers from many problems, such as security, trust, availability of data, and drug traceability. Blockchain technology is a recent te...

Machine learning Support vector machine Logistic regression Confusion matrix Random forest Performance Engagement Accuracy A b s t r a c t Any company's most valuable asset, its workforce, is its employees. As a result, the company's primary goal should be to develop an excellent strategy for supporting and investing in its employees and staff by p...

Following the COVID epidemic, the healthcare sector faced numerous issues as telehealth became more prevalent and the necessity for a safe and efficient healthcare record system became critical. Many issues plague the healthcare industry today, including security, trust, data availability, and drug traceability. Blockchain technology is a relativel...

Anomalies are instances or collections of data that occur very rarely in a dataset and where features differ significantly from most of the data. In the age of technology, data is widely used in all sectors. Thus, anomalies in the data may produce problems if they are not detected. Anomaly detection involves examining specific data points and detec...

In the last decade, information technology tools have witnessed enormous development. Nowadays, they are used in all daily human tasks. Organizations and companies have recently started using information technology tools in all sectors. For example, the decision-making process is an essential task in all organizations. By using information technolo...

The computer-based navigation system computes the object's position, speed, and direction in real-time. In the last decades, many researchers, companies, and industries have been working on improving the existing navigation system due to its vast application in military and civilian activities. Typically, navigation systems are based on integrating...

Artificial intelligence is one of the essential innovations made by scientists to simplify people's life. It allows intelligent computers to imitate human behaviors to accomplish specific tasks. Machine learning is a branch of artificial intelligence in which devices can learn from existing data to predict new output values. Machine learning is use...

The huge development of technology has greatly affected human life. Recent technologies are being used in all sectors. Artificial intelligence is a modern science that aims to create a machine that imitates human intelligence. It is used in many domains like finance, robotics, healthcare, and marketing. The goal of this paper is to study the impact...

Recently, with the birth of globalization, the world has witnessed a huge growth in its energy consumption. From an agricultural society, the world has transformed itself into an industrial and knowledge society. This transformation leads to a surge in energy consumption which lead to an increase in carbon emission. For this reason, renewable energ...

In recent years, all academic organizations turned to online learning to decrease the risk of virus infection during the coronavirus pandemic. The development of online classes produces new challenges for academic specialists, particularly in developing countries where technology devices are hardly available to participants. Even though some charac...

Nowadays, Artificial Intelligence (AI) plays a primary role in different applications like medicine, science, health, and finance. In the past five decades, the development and progress of technology have allowed artificial intelligence to take an essential role in human life. Air quality classification is an excellent example of this role. The use...

Decision-making systems are computer-based systems that interpret processed information to make the best choice. They choose an action or value from possible activities, each conducting to different outcomes. Some outcomes are favored over others based on the criteria of the decision-maker. This chapter presents the existing technology used in deci...

The increase in population leads to an up surge in food demands which also expend the agricultural activities. A wide range of electrically powered machines is essential for the success of modern agriculture setup. Farming required electrical power for numerous activities such as irrigation and electric tractors. A large number of farms are located...

Due to the coronavirus pandemic, all academic institutions have closed their doors and shifted to online learning to minimize the risk of the virus infection. The tense growth of online classes poses new challenges for academic specialists such as participant evaluation, particularly in countries where technology tools are not always available to p...

Electrical power is an essential source of comfort, numerous tasks are almost impossible to be performed without the aid of the electrical power. To keep up with the population growth worldwide, electrical infrastructure are being upgraded and up-rated. To maximize the use to the land and reduce construction cost, joint-use structures between distr...

High Voltage (HV) transmission lines are widely spread around residential places. They take all forms of shapes: concrete, steel, and timber poles. Earth grid always form part of the HV transmission structure, whereat soil resistivity value is one of the main inputs when it comes to determining the earth grid requirements. In this paper, the soil s...

Performing High Voltage (HV) tasks with a multi craft work force create a special set of safety circumstances. This paper aims to present vital information relating to when it is acceptable to use a single or a two-layer soil structure. Also it discusses the implication of the high voltage infrastructure on the earth grid and the safety of this imp...

The goal of map-matching algorithms is to identify the road taken by a vehicle and to compute an estimate of the vehicle position on that road using a digital map. In this paper, a map-matching algorithm based on interval analysis and the belief function theory is proposed. The method combines the outputs from existing bounded-error estimation tech...

A new approach to nonlinear state estimation based on belief-function theory and interval analysis is presented. This method uses belief structures composed of a finite number of axis-aligned boxes with associated masses. Such belief structures can represent partial information on model and measurement uncertainties more accurately than can the bou...

The goal of state estimation method is to compute an accurate estimation of the state of the system based on the measurement given by different sensors and a mathematical representation of the system. In this paper a new state estimation method based on Dampster-Shafer theory and interval analysis is presented. This method uses belief structures co...

Multiple model methods have been generally considered as the mainstream approach for estimating the state of dynamic systems under motion model uncertainty. In this paper, a multiple model method based on belief function theory is proposed. This method handles the case of systems with an unknown and variant motion model. First, a set of candidate m...

The goal of map matching methods is to compute an accurate position of a vehicle from an initial estimated position using a digital road network data. In this paper, a new map matching method based on Dempster-Shafer theory and interval analysis is presented. The core idea of this method is the use of Dempster-Shafer theory for modeling partial inf...

Abstract The Belief theory is one the most appropriate theory to address data fusion problems in the case of heterogeneous, uncertain, inaccurate, or missing data. In this paper we present a data filtering and fusion method applied to dynamic systems by using belief function theory. The focal elements on real variables are considered to be interval...

Map matching algorithms are used to integrate an initial estimated position with digital road network data for computing the vehicle position on a road map. In this paper, a map matching algorithm based on belief function theory is proposed. This method provides an accurate estimation of vehicle position relative to a digital road map using belief...

The Belief theory is one the most appropriate theory to address data fusion problems in the case of heteroge- neous, uncertain, inaccurate, or missing data. In this pa- per we present a data filtering and fusion method applied to dynamic systems by using belief function theory. We formulate the problem using evidential networks. The fo- cal element...