Publications
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Sustainable and Flexible Hub Location Problem
This paper addresses a flexible and sustainable hub network design problem that considers integrated strategic decisions related to hub location, transportation network configuration, and environmental protection. The proposed approach is based on a multi-objective model, consisting in minimizing the economic cost of the carbon footprint related to hub emissions and transportation activities. To evaluate the […]
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Rechargeable Battery State Estimation Based on Adaptive-Rate Processing and Machine Learning
The generalization of the use of electronic systems and their integration in industrial systems and different aspects of modern life (internet of things, electric vehicles, robotics, smart grids), give rise to new challenges related to the storage and optimized management of energy. Lithium-on batteries perfectly meet this objective due to their good qualities such as […]
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Features Mining and Machine Learning for Home Appliance Identification by Processing Smart meter Data
The energy sector is changing as a result of digitalization and IoT advancements. The Internet of Energy (IoE) is developing to link many smart grid components and shareholders effectively. The use of smart meters is becoming more popular in this context. The automatic identification of appliances is one of the most important applications of smart […]
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Hybridization of Wavelet Decomposition and Machine Learning for Brain Waves based Emotion Recognition
Emotion recognition has sparked the interest of researchers from a variety of disciplines. Studies have demonstrated that brain signals may be utilized to characterize a wide range of emotional states. Electroencephalogram (EEG) measures the cerebral activity. Therefore, by exploiting the EEG signals the emotion states can be determined. In this study the EEG signals undergoes […]
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Localized buried P‑doped region for E‑mode GaN MISHEMTs
A new design for an enhancement mode Gallium Nitride (GaN)-based High Electron Mobility Transistor (HEMT) is proposed along with a novel fabrication technique. Normally-off operation is achieved through the introduction of a localized P-region below the AlGaN/GaN interface underneath the gate electrode. Since achieving high hole concentration through ion implantation is experimentally challenging, the effect […]
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Numerical analysis of repaired wall loss defect pipelines for optimum composite wrap thickness
This paper presents the numerical analysis of failure pressure of wall loss defect metallic pipelines and validate it with experimental results. An optimization study is carried out using developed numerical model to propose the optimum composite repair thickness for cost effective repair system. A nonlinear explicit FE code with constitutive models for metallic steel and […]
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The Effect of Regularization on the MAP-OSEM Algorithm for PET Reconstruction
In this paper, we study the algorithm of MAP- OSEM for PET reconstruction which is a well known iterative algorithm. It is desired to use a spatial regularization technique can improve the quality of reconstructed images and help to provide accurate diagnosis. The MAP-OSEM algorithm is a powerful image reconstruction algorithm that has been used […]
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Hybrid Convolution-Transformer models for breast cancer classification using histopathological images
Breast cancer threatens the public health as it is among the leading causes of women death due to unawareness and diagnosis at the late stages. The detection of this cancer in its early stage is decisive to decrease mortality rates . Deep learning techniques are effective in analysis of medical images and achieve high performance […]
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An artificial neural network & machine learning approach for predicting the performance of cutting machines
In production systems, repeated failures must be taken into account with great importance. The pursuit of long dysfunctional states as well as temporary interventions involve excessive costs in terms of time and money. Industry 4.0 technologies make extensive use of the big real-time data collected from machines, allowing address and resolve potential problems before they […]
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Ikigai robotics: How could robots satisfy social needs in a professional context?
Robots are playing an increasingly important role in very different professional and personal contexts, including that of railway maintenance, which is starting to integrate robotic tools. By confronting industrial robotics part of industry 4.0 and 5.0 with service robotics, we realize that the railway maintenance sector does not refer to industry as manufacturing, nor to […]
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A review of IoT architectures in smart healthcare applications
The Internet of Things (IoT) is revolutionizing numerous industries, including healthcare services, known as the Internet of Medical Things (IoMT). A large amount of generated data in IoMT applications need to be transmitted, analyzed, and stored. Consequently, the cloud-only architecture was proposed as being the best-fit organizational infrastructure. Indeed, cloud capabilities of processing, networking, and […]
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An Adaptive Attack Prediction Framework in Cyber-Physical Systems
Cyber-physical systems (CPS) have been used in many applications, especially in smart cities and industrial systems. As a result of the exponential development of CPSs connected components, cyber-attacks against CPSs have exploded. Moreover, new critical CPS have high-security constraints that must be detected and predicted at an early stage of the communication process. Thus, it […]
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