Abdelaziz Bouras

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• PhD, Hn. C.
• Professor at Qatar University

The automated and timely conversion of cybersecurity information from unstructured online sources, such as blogs and articles to more formal representations has become a necessity for many applications in the domain nowadays. Named Entity Recognition (NER) is one of the early phases towards this goal. It involves the detection of the relevant domai...

Entity recognition and extraction from contracts play a crucial role in automating contract analysis and extracting valuable information. Named Entity Recognition (NER) techniques are used for identifying and classifying specific entities such as parties, dates, amounts, and clauses within contracts. In this study, we create a high-quality NER data...

A chatbot is a software developed to help reply to text or voice conversations automatically and quickly in real time. In the agriculture sector, the existing smart agriculture systems just use data from sensing and internet of things (IoT) technologies that exclude crop cultivation knowledge to support decision-making by farmers. To enhance this,...

Smart manufacturing systems involve a large number of interconnected devices resulting in massive data generation. Cloud computing technology has recently gained increasing attention in smart manufacturing systems for facilitating cost-effective service provisioning and massive data management. In a cloud-based manufacturing system, ensuring author...

The introduction of blockchain technology into Supply Chain management has opened the possibility of faster and more secure transactions of commodities and services. As for every blockchain, Smart Contracts are the tool for controlling the transactions in blockchain-based supply chains. In this paper, we introduce a method for automating the implem...

Identifying and extracting information from contracts is an important task of contract analysis, which is mostly performed manually by lawyers and legal specialists. This manual analysis is a time-consuming, error-prone task. We can overcome this by automating the task of legal entity extraction using the Natural Language Processing (NLP) technique...

In this study, the aim is to design and develop a 3D acquisition, visualization, and interaction framework to preserve cultural heritage and provide new ways to enable museum visitors and cultural audiences to virtually interact with cultural objects. Indeed, cultural assets are nowadays at higher risk and most cultural institutions prohibit visito...

Smart manufacturing systems involve a large number of interconnected devices resulting in massive data generation. Cloud computing technology has recently gained increasing attention in smart manufacturing systems for facilitating cost-effective service provisioning and massive data management. In a cloud-based manufacturing system, ensuring author...

Hypertension is a common health problem that is costly to treat, difficult to control, and frequently results in serious and fatal disorders like cardiovascular disease (CVD) and stroke. The main objective of this work was to design and verify a stacking ensemble framework-based model for predicting hypertension risk prospectively. Firstly, we prop...

We propose a hierarchical blockchain-based platform for ensuring the integrity of smart city Internet-of-Things (IoT) data and blockchain interoperability in this paper. The well-defined structural hierarchy of managing organizations in a smart city face several data management issues. The integration of emerging technologies, such as (IoT), has in...

Ever since their big impact in the financial sector, blockchains have never ceased to make disruptions in collaborative applications. Blockchains are considered nowadays the go-to solution for developing critical data exchange platforms. Unfortunately, their interaction with existing and already established platforms is still limited due to many re...

In an age of rich data and information streams, the governments’ role with regard to new technology in terms of regulation is continuously changing. Novel areas for this era of big data must be considered when introducing new policies and issuing regulations. These areas cover privacy, security, retention, processing, ownership, and the integrity o...

As the application of information technology in the medical field is resulting in a large amount of medical data. As early withdrawal and refusal of participants, there are a lot of missing values in medical data. Although various processing methods for missing values have been proposed, few methods for those medical data with characteristics of im...

Blockchain is being a game-changer for digital supply chain systems to enable traceability and immutability. The consensus mechanism is the key technology that powers the immutability of data stored in the blockchain. As blockchain and its consensus mechanisms are primarily designed for cryptocurrency, the existing consensus mechanisms are not effi...

Nowadays, Blockchains are considered the go-to solution when it comes to secure and trust-ensuring platforms for critical data exchange. However, integrating this technology with existing systems is quite a challenging task as there is an unclear path to achieve the integration. Usually, the main motivation behind integrating blockchain with inform...

Production of goods has reached record numbers in the last decades as it became more efficient and effective than ever before due to the automation and digitalization of the production process. This gave customers more choice and the delivery process became faster and more satisfying. However, supply chain management remains a bottleneck due to the...

In our work, we propose an anomaly detection framework, for detecting anomalous transactions in business processes from transaction event logs. Such a framework will help enhance the accuracy of anomaly detection in the global Supply Chain, improve the multi-level business processes workflow in the Supply Chain domain, and will optimize the process...

The distribution and immutability properties of blockchains made it possible to use them in various fields, such as Supply Chain, finance and health. The automation of the creation and execution of transactions in a blockchain in a decentralized and transparent manner is realized through Smart Contracts programming codes. This paper presents the im...

Background: Failed intubation is the single most important cause of patient morbidity and mortality during anesthesia for surgery. The incidence of difficult intubation could be as high as 12% while failed intubation is around 0.5%. 1 Disaster and mass casualty management may increase this risk multi-fold due to the paucity of airway-trained medica...

Water, an essential resource for crop production, is becoming increasingly scarce, while cropland continues to expand due to the world’s population growth. Proper irrigation scheduling has been shown to help farmers improve crop yield and quality, resulting in more sustainable water consumption. Soil Moisture (SM), which indicates the amount of wat...

Binary segmentation of volumetric images of porous media is a crucial step towards gaining a deeper understanding of the factors governing biogeochemical processes at minute scales. Contemporary work primarily revolves around primitive techniques based on global or local adaptive thresholding that have known common drawbacks in image segmentation....

In our proposed work, we propose an anomaly detection framework, for detecting anomalous transactions in business processes from transaction event logs. Such a framework will help enhance the accuracy of anomaly detection in the global Supply Chain, improve the multi-level business processes workflow in the Supply Chain domain, and will optimize th...

Blockchain is in its way of revolutionizing different sectors with its decentralized peer-to-peer networking. Smart contracts are the piece of software that have written rules to be executed automatically to update the state of the block chain in a systematic way. One of the main use of Smart contract is in Supply Chain management. Supply Chain man...

Advanced IIoT systems, can be used to facilitate smart management. Nevertheless, IIoT systems generates huge amounts of data that need to be outsourced to the cloud for storing and providing real-time search facilities to end-users. Outsourcing IIoT data to a third-party cloud service provider (CSP) introduce several data privacy and integrity issu...

During the past three decades, digital cultural heritage deployment in the communication domain has changed significantly. One of the main interests of heritage curation institutions and research is to implement user-friendly 3D visual interaction system to museums visitors. In this chapter, we firstly reviewed human-computer interaction techniques...

To preserve historical documents, many cultural institutions started digitizing the historical manuscripts and cultural assets metadata. This digitization not only preserves data but also helps in processing these texts to provide easy access to the world of cultural heritage. Named entity recognition (NER) plays an important role in processing the...

The classification of digital images is an essential task during the restoration and preservation of cultural heritage (CH). In computer vision, cultural heritage classification relies on the classification of asset images regarding a certain task such as type, artist, genre, style identification, etc. CH classification is challenging as various CH...

In real cases, missing values tend to contain meaningful information that should be acquired or should be analyzed before the incomplete dataset is used for machine learning tasks. In this work, two algorithms named jointly fuzzy C-Means and VQNN (Vaguely Quantified Nearest Neighbor) imputation (JFCM-VQNNI) and jointly fuzzy C-Means and fitted VQNN...

This book considers the challenges related to the effective implementation of artificial intelligence (AI) and machine learning (ML) technologies to the cultural heritage digitization process. Particular focus is placed on improvements to the data acquisition stage, as well as the data enrichment and curation stages, using advanced artificial intel...

Since its revolution in the financial sector, the blockchain technology disrupted the majority of collaboration-based applications including supply chain management. The supply chain is one of the most important sectors benefiting from all the advantages of blockchain. Through this paper, we are mainly focusing on the practical aspects of integrati...

We present a formal model for smart contract workflow using Colored Petri-Net in the context of a blockchain-based healthcare supply chain in this paper. Ensuring traceability of products is a crucial issue in a smart healthcare supply chain. Blockchain and smart contracts are two enabling technologies that ensure the traceability of products and p...

Numerous cultural assets host a great historical and moral value, but due to their degradation, this value is heavily affected as their attractiveness is lost. One of the solutions that most heritage organizations and museums currently choose is to leverage the knowledge of art and history experts in addition to curators to recover and restore the...

IFIP AICT 594. Product Lifecycle Management Enabling Smart X. 17th IFIP WG 5.1 International Conference, PLM 2020. Rapperswil, Switzerland, July 5–8, 2020. Revised Selected Papers. This book constitutes the refereed post-conference proceedings of the 17th IFIP WG 5.1 International Conference on Product Lifecycle Management, PLM 2020, held in Rappe...

PLM systems are heavily distributed collaborative platforms resulting in multiple challenges related to the integrity and reliability of the exchanged information. Such issues are usually difficult to address using traditional software solutions. However, since the introduction of blockchains, such challenges are currently being effectively address...

Museums and cultural institutions, in general, are in a constant challenge of adding more value to their collections. The attractiveness of assets is practically tightly related to their value obeying the offer and demand law. New digital visualization technologies are found to give more excitements, especially to the younger generation as it is pr...

Museums and cultural institutions, in general, are in a constant challenge of adding more value to their collections. The attractiveness of assets is practically tightly related to their value obeying the offer and demand law. New digital visualization technologies are found to give more excitements, especially to the younger generation as it is pr...

Purpose Digital tools have been used to document cultural heritage with high-quality imaging and metadata. However, some of the historical assets are totally or partially unlabeled and some are physically damaged, which decreases their attractiveness and induces loss of value. This paper introduces a new framework that aims at tackling the cultural...

Through this paper, we aim at investigating the impact of artificial intelligence technologies on cultural heritage promotion and long-term preservation in terms of digitization effectiveness, attractiveness of the assets, and value empowering. Digital tools have been validated to yield sustainable and yet effective preservation for multiple types...

Extracting cybersecurity entities and the relationships between them from online textual resources such as articles, bulletins, and blogs and converting these resources into more structured and formal representations has important applications in cybersecurity research and is valuable for professional practitioners. Previous works to accomplish thi...

In this paper, we present a novel architecture of blockchain-based tamper-proof electronic health record (EHR) management system. Recording electronic health data in cloud-based storage systems always pose a threat to information security. Intruders can delete or tamper EHR of patients, giving benefits to insurance companies or hiding medical malpr...

During the last decade, Qatar started an industry diversification strategy founded on a knowledge-based economy for the coming years. The ambition is to become a global “hub” in some key fields such as new technologies, finance, culture, and sporting events. Such a diversification strategy requires massive investments, not only in physical and tech...

Industry-integrated engineering and technology education have been hot topics during the past couple of years (Fitz-Coy et al. 2002; Duffy et al. 2007; Sahama et al. 2008; Ilozor and Kelly 2012; Veillard 2012, 2015; Shin et al. 2013; Bouras et al. 2014; Kovalev et al. 2015; Mutereko and Wedekind 2016; Abdulwahed and Hasna 2016; Wilke and Magenheim...

Binary segmentation of volumetric images of porous media is a crucial step towards gaining a deeper understanding of the factors governing biogeochemical processes at minute scales. Contemporary work primarily revolves around primitive techniques based on global or local adaptive thresholding that have known common drawbacks in image segmentation....

Monitoring the performance of manufacturing equipment is critical to ensure the efficiency of manufacturing processes. Machine-monitoring data allows measuring manufacturing equipment efficiency. However, acquiring real and useful machine-monitoring data is expensive and time consuming. An alternative method of getting data is to generate machine-m...

Through this paper, we aim at investigating the impact of using deep learning-based technologies such as super-resolution on Holoscopic 3D (H3D) images. Holoscopic 3D imaging is a technology that aims at providing cost-effective alternatives for 3D content viewing and consumption without requiring a special headgear or posture. The technique is usi...

Cultural heritage takes an important part in defining the identity and the history of a civilization or a nation. Valuing and preserving this heritage is thus a top priority for governments and heritage institutions. Through this paper, we present an image completion (inpainting) approach adapted for the curation and the completion of damaged artwo...

Acquiring new knowledge and skills is the principal goal of any educational institution. Universities planned always to improve the learning methods to offer high academic competencies qualities for students. These competencies help students to respond to the needs of companies’ missions during their internships. In some cases, some companies’ miss...

This book introduces recent global advances and innovations in industry integrated engineering and computing education to academics, program managers, department heads, and deans, and shares with readers a critical perspective on future potentials in industry integrated engineering education. It covers topics and issues such as integrated engineeri...

This book constitutes the refereed post-conference proceedings of the 16th IFIP WG 5.1 International Conference on Product Lifecycle Management, PLM 2019, held in Moscow, Russia, in July 2019. The 38 revised full papers presented were carefully reviewed and selected from 63 submissions. The papers are organized in the following topical sections: 3D...

Opinion mining mainly involves three elements: feature and feature-of relations, opinion expressions and the related opinion attributes (e.g. Polarity), and feature-opinion relations. Although many works have emerged to achieve its aim of gaining information, the previous researches typically handled each of the three elements in isolation, which c...

As one of Bayesian analysis tools, Hidden Markov Model (HMM) has been used to in extensive applications. Most HMMs are solved by Baum-Welch algorithm (BWHMM) to predict the model parameters, which is difficult to find global optimal solutions. This paper proposes an optimized Hidden Markov Model with Particle Swarm Optimization (PSO) algorithm and...

The rapid technological enhancement and innovations in current days have changed people's thought. The use of Information Technology tools in people's daily life has changed their life style completely. The advent of various innovative smart products in the market has tremendous impact on people's lifestyle. They want to know their heart beat while...

Preface. The rise of the Industry 4.0 paradigm is disruptively changing manufacturing environments: The increasing need for integration across value chains is highlighting the need for smart, powerful information systems. In this field, product lifecycle management (PLM) plays a key role: heterogeneous information concerning product ideation, desig...

Supply chain management encompasses various processes including various conventional logistics activities, and various other processes These processes are supported -- to a certain limit -- by coordination and integration mechanisms which are long-term strategies that give competitive advantage through overall supply chain efficiency. Information T...

The impact of globalization and worldwide competition has forced firms to modify their strategies towards a real time operation with respect to customer's requirements. This behaviour, together with the communication possibilities offered by the actual Information and Communication Technologies, allows the top management to move towards the concept...

The international competitive market causes the increasing of shorten product life cycle and product development process with the improvement in term of time, cost and quality while increasing the waste generation. Product life cycle sustainability can reduce waste, conserve resources, use recycling materials, design product for easy disassembly an...

The low economic growth and competition among neighbouring countries has caused Foreign Direct nvestments (FDIs) to relocate their businesses. In order to prevent further business relocation, this aper proposes an integrated framework based on the supply chain to help analyse decision making for plant situations and enhance manufacturing perrforman...

This paper develops the concept of knowledge and its exchange using Semantic Web technologies. It points out that knowledge is more than information because it embodies the meaning, that is to say semantic and context. These characteristics will influence our approach to represent and to treat the knowledge. In order to be adopted, the developed sy...

The ultimate goal in the pharmaceutical sector is product quality. However this quality can be altered by the use of a number of heterogeneous information systems with different business structures and concepts along the lifecycle of the product. Interoperability is then needed to guarantee a certain correspondence and compliance between different...