Author(s): Kallel S; Amayri M; Bouguila N;

Efficient energy management relies on uncovering meaningful consumption patterns from large-scale electricity load demand profiles. With the widespread adoption of sensor technologies such as smart meters and IoT-based monitoring systems, granular and real-time electricity usage data have become available, enabling deeper insights into consumption behavio ...

Article GUID: 40218540

Author(s): Guo J; Fan W; Amayri M; Bouguila N;

This article proposes a novel deep clustering model based on the variational autoencoder (VAE), named GamMM-VAE, which can learn latent representations of training data for clustering in an unsupervised manner. Most existing VAE-based deep clustering methods use the Gaussian mixture model (GMM) as a prior on the latent space. We employ a more flexible asy ...

Article GUID: 39662201

Author(s): Ge B; Najar F; Bouguila N;

In this paper, a weighted multivariate generalized Gaussian mixture model combined with stochastic optimization is proposed for point cloud registration. The mixture model parameters of the target scene and the scene to be registered are updated iteratively by the fixed point method under the framework of the EM algorithm, and the number of components is ...

Article GUID: 37754943

Author(s): Bourouis S; Pawar Y; Bouguila N;

Finite Gamma mixture models have proved to be flexible and can take prior information into account to improve generalization capability, which make them interesting for several machine learning and data mining applications. In this study, an efficient Gamma mixture model-based approach for proportional vector clustering is proposed. In particular, a sophi ...

Article GUID: 35009726

Author(s): Darwish A; Norouzi S; Kadem L;

Purpose: Identification of coherent structures in cardiovascular flows is crucial to describe the transport and mixing of blood. Coherent structures can highlight locations where minimal blood mixing takes place, thus, potential thrombus formation can be expected thither. Graph-based approaches have recently been introduced in order to describe fluid tran ...

Article GUID: 34845627

Author(s): Lahmiri S; Bekiros S;

The main purpose of our paper is to evaluate the impact of the COVID-19 pandemic on randomness in volatility series of world major markets and to examine its effect on their interconnections. The data set includes equity (Bitcoin and Standard and Poor's 500), precious metals (Gold and Silver), and energy markets (West Texas Instruments, Brent, and Gas ...

Article GUID: 33286604

Author(s): Lazli L, Boukadoum M, Ait Mohamed O

Brain Sci. 2019 Oct 22;9(10): Authors: Lazli L, Boukadoum M, Ait Mohamed O

Article GUID: 31652635

Author(s): Ghosh T, Fattah SA, Wahid KA, Zhu WP, Ahmad MO

Comput Biol Med. 2018 03 01;94:41-54 Authors: Ghosh T, Fattah SA, Wahid KA, Zhu WP, Ahmad MO

Article GUID: 29407997