Publications
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Intrusion Detection System for IoT based on Complex Networks and Machine Learning
Network Intrusion Detection Systems (NIDS) are critical tools for detecting and preventing cyber-attacks in computer networks. Traditional rule-based NIDS can be limited in their ability to detect complex and sophisticated attacks. However, recent advancements in Artificial Intelligence (AI), such as deep learning algorithms, have provided new methods for enhancing NIDS capabilities, improving detection rates, reducing […]
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The Value of Extended Reality Techniques to Improve Remote Collaborative Maintenance Operations: A User Study
In the Architecture, Engineering and Construction (AEC) sector, data extracted from building information modelling (BIM) can be used to create a digital twin (DT). The algorithms of a BIM-based DT can facilitate the retrieval of information, which can then be used to improve building operation and maintenance procedures. However, with the increased complexity and automation […]
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Modelling the “transactive memory system” in multimodal multiparty interactions
Transactive memory system (TMS) is a team emergent state representing the knowledge of each member about “who knows what” in a team performing a joint task. We present a study to show how the three TMS dimensions Credibility, Specialisation, Coordination, can be modelled as a linear combination of the nonverbal multimodal features displayed by the […]
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EXPERIMENTAL EVALUATION OF INTERFACE ADHESION OF A FLAX FIBER COMPOSITE PATCH WITH EPOXY AND POLYURETHANE ADHESIVES FOR THE REINFORCEMENT OF STEEL STRUCTURES
Using fiber-reinforced composite patches for repairing damaged structures made of metal or/and concrete is an interesting and widely available solution on the market using synthetic materials. These repairing patches are bonded on the structures’ surfaces to increase their strength against internal stresses, as well as protect them from external physico-chemical attacks, thereby limiting crack propagation. […]
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ECG based Apnea Detection by Multirate Processing Hybrid of Wavelet-Empirical Decomposition Hjorth Features Extraction and Neural Networks
Sleep Apnea (SA) can cause health complications including heart stroke and neurological disorders. The Polysomnography (PSG) test can detect the severity of sleep disturbance. However, it is expensive and requires a dedicated sleep laboratory and expertise to examine the patients. Therefore, it is not available to a large population in developing countries. This leads to […]
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A Novel Integration Technique for Optimal Location & Sizing of DG Units With Reconfiguration in Radial Distribution Networks Considering Reliability
This paper introduces an advanced approach for optimizing the distribution network reconfiguration (DNR) with the placement and sizing of multiple types of distributed generators (DGs). The method employs the ant colony optimization algorithm (ACOA), which is an innovative adaptive optimization algorithm, while also considering the system’s reliability. The primary objectives of the optimization problem are […]
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ELSO: A Blockchain-Based Technique for a Reliable and Secure Healthcare Information Exchange
Nowadays, healthcare takes a great attention from people and governments due to the emergence of new diseases and viruses. Health Information Exchange (HIE) allows doctors, clinicians, and healthcare facilities (HCF) to exchange and share patient records according to patient permission. Unfortunately, the HIE systems suffer from several challenges such as security, privacy, latency, throughput, and […]
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Hybrid Data-Driven and Knowledge-Based Predictive Maintenance Framework in the Context of Industry 4.0
The emergence of Industry 4.0 has heralded notable progress in manufacturing processes, utilizing sophisticated sensing and data analytics technologies to maximize efficiency. A vital component within this model is predictive maintenance, which is instrumental in ensuring the dependability and readiness of production systems. Nonetheless, the heterogeneous characteristics of industrial data present obstacles in realizing effective […]
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Fatigue Evaluation and Scheduling for Manual Tasks: A Break Planning Approach
The quality and time execution of any production task involving human operator depend on the state of the operator and its behaviour. Recently, several studies are interested in the modelling of human behaviour in industrial system to design human centred manufacturing system. In this context, this paper focus of the fatigue of operator in production […]
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Towards a manufacturing optimization system through remote robot control system using hand movement
In recent times, there has been a notable shift in manual assembly tasks being replaced by robots. These robots are controlled by operators using keyboards. To enhance this practice, we have introduced a remote human-robot collaboration system. This system allows operators to remotely control robots using hand gestures, utilizing an online hand gesture recognition system. […]
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An Enhanced Interface-Based Probabilistic Compositional Verification Approach
In this paper, we aim to advance the state of the art in the verification process of systems, predominantly modeled as Probabilistic Automata (PA). This model accommodates both nondeterministic and probabilistic behaviors. Our primary strategy to address the notorious state space explosion problem inherent in model checking is the adoption of abstraction and compositional verification […]
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Occupancy Prediction in Buildings Using Cascaded LSTM Model
Buildings are one of the prominent sectors among global primary energy consumption. A large portion of this energy consumption is influenced by occupancy interaction with the buildings. Occupancy prediction in buildings without intruding their privacy helps to enhance the building energy management. Due to the complex relations of the inputs and the temporal dependency, modeling […]
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