Publications
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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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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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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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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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Interphase’s formation and participation on water diffusion in epoxy/metal bonded assemblies
Interphase’s formation and participation on water diffusion in epoxy/metal bonded assemblies
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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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APBFT: An Adaptive PBFT Consensus for Private Blockchains
As smart cities become more decentralized, the need for reliable and secure cyber-physical systems (CPS) that guarantee safe interactions and secure data storage without loss of privacy is continuously increasing. Blockchain is a rapidly emerging technology in this domain. It demonstrated effectiveness thanks to the cryptographic mechanisms it utilizes and to its immutability. Private blockchains […]
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FPBFT: A Fast PBFT Protocol for Private Blockchains
Blockchain is an emerging technology that enables storing data and sharing it among many entities without the need for a central organization. Data is stored in an append-only ledger after the majority of participants agree on it. This mechanism is called the consensus, and many protocols are proposed in the literature (PoW, PoS, DPoS, RAFT, […]
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FNR-GAN: FACE NORMALIZATION AND RECOGNITION WITH GENERATIVE ADVERSARIAL NETWORKS
The normalization of in-the-wild faces is a low-cost process which can both improve face recognition performances and reduce the computation complexity of face generation. In this paper, we present an unsupervised Face Normalization and Recognition within Generative Adversarial Networks (FNRGAN). This proposed approach generates and recognizes faces from normalized features of in-the wild faces. We […]
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Secure and Reliable Smart Cyber-Physical Systems
Smart Cyber-Physical Systems (SCPS) are heterogeneous inter-operable autonomous entities that play a crucial role in critical infrastructures. And as a result of supporting novel communication and remote control features, they became more dependent on connectivity, which increased attack surfaces and introduced errors that elevated the likelihood of SCPS errors. Additionally, they may cause new types […]
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Aggregation using Genetic Algorithms for FederatedLearning in Industrial Cyber-Physical Systems
Industry and academics are interested in indus-trial cyber-physical systems (ICPS). Complexity makes it hardto grasp these systems design and functioning. By offeringFedGA-ICPS, a federated learning framework based on geneticalgorithms, we can solve ICPS ́s performance and decision sup-port. To simulate the structure and behavior of these systems,we use ICPS. FedGA-ICPS investigates the performance of theICPS […]
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