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of 502
pro vyhledávání: '"Bouchachia, A."'
The primary objective of non-intrusive load monitoring (NILM) techniques is to monitor and track power consumption within residential buildings. This is achieved by approximating the consumption of each individual appliance from the aggregate energy
Externí odkaz:
http://arxiv.org/abs/2402.17809
Stochastic gradient descent (SGD) is a widely adopted iterative method for optimizing differentiable objective functions. In this paper, we propose and discuss a novel approach to scale up SGD in applications involving non-convex functions and large
Externí odkaz:
http://arxiv.org/abs/2210.02882
Evolving Neural Networks (NNs) has recently seen an increasing interest as an alternative path that might be more successful. It has many advantages compared to other approaches, such as learning the architecture of the NNs. However, the extremely la
Externí odkaz:
http://arxiv.org/abs/2202.06163
Publikováno v:
In Expert Systems With Applications 15 March 2024 238 Part E
The dream of building machines that can do science has inspired scientists for decades. Remarkable advances have been made recently; however, we are still far from achieving this goal. In this paper, we focus on the scientific discovery process where
Externí odkaz:
http://arxiv.org/abs/2103.15551
Autor:
Mohamad, Saad, Bouchachia, Abdelhamid
Non-intrusive load monitoring (NILM) aims at separating a whole-home energy signal into its appliance components. Such method can be harnessed to provide various services to better manage and control energy consumption (optimal planning and saving).
Externí odkaz:
http://arxiv.org/abs/1910.11599
Akademický článek
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Stochastic variational inference (SVI) employs stochastic optimization to scale up Bayesian computation to massive data. Since SVI is at its core a stochastic gradient-based algorithm, horizontal parallelism can be harnessed to allow larger scale inf
Externí odkaz:
http://arxiv.org/abs/1801.04289
Autor:
Khennour, Mohammed Elmahdi1 (AUTHOR) khennour.mahdi@univ-ouargla.dz, Bouchachia, Abdelhamid2 (AUTHOR), Kherfi, Mohammed Lamine1,3 (AUTHOR), Bouanane, Khadra1 (AUTHOR)
Publikováno v:
Neural Computing & Applications. Sep2023, Vol. 35 Issue 27, p19707-19718. 12p.
Publikováno v:
In Sensors and Actuators: A. Physical 1 January 2021 317