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A metaheuristic-driven approach to fine-tune Deep Boltzmann Machines
(Elsevier B.V., 2020-12-01)
Deep learning techniques, such as Deep Boltzmann Machines (DBMs), have received considerable attention over the past years due to the outstanding results concerning a variable range of domains. One of the main shortcomings ...
Temperature-Based Deep Boltzmann Machines
(Springer, 2018-08-01)
Deep learning techniques have been paramount in the last years, mainly due to their outstanding results in a number of applications, that range from speech recognition to face-based user identification. Despite other ...
LEARNING SPAM FEATURES USING RESTRICTED BOLTZMANN MACHINES
(Iadis, 2016-01-01)
Nowadays, spam detection has been one of the foremost machine learning-oriented applications in the context of security in computer networks. In this work, we propose to learn intrinsic properties of e-mail messages by ...
Green ceramic machining benefits through ultrasonic-assisted turning: an experimental investigation
(2022-02-01)
Machining of advanced ceramics in the green state aims to achieve complex geometry with near-net-shape dimensions minimizing machining steps after sintering, good surface finish, economic efficiency and flexibility, and ...
Monitoring the dressing operation in the grinding process
(2009-03-03)
This work was based on a methodology of development and experimentation, and involved monitoring the dressing operation by processing the acoustic emission and electric power signals to detect the optimal dressing moment. ...
Mechanistic approach to predict real machining time for milling free-form geometries applying high feed rate
(SPRINGER LONDON LTD, 2010)
An accurate estimate of machining time is very important for predicting delivery time, manufacturing costs, and also to help production process planning. Most commercial CAM software systems estimate the machining time in ...
Mechanistic approach to predict real machining time for milling free-form geometries applying high feed rate
(Springer London Ltd, 2010-02-01)
An accurate estimate of machining time is very important for predicting delivery time, manufacturing costs, and also to help production process planning. Most commercial CAM software systems estimate the machining time in ...
Hot turning of a difficult-to-machine steel (sae xev-f) aided by infrared radiation
(Springer, 2014-07-01)
A possible way for increasing the cutting tool life can be achieved by heating the workpiece in order to diminish the shear stress of material and thus decrease the machining forces. In this study, quartz electrical ...
HOW FAR do WE GET USING MACHINE LEARNING BLACK-BOXES?
(World Scientific Publ Co Pte Ltd, 2012-03-01)
With several good research groups actively working in machine learning (ML) approaches, we have now the concept of self-containing machine learning solutions that oftentimes work out-of-the-box leading to the concept of ...
Hard machining, glaze firing and hydrofluoric acid etching: Do these procedures affect the flexural strength of a leucite glass-ceramic?
(Elsevier B.V., 2015-07-01)
Objective. To evaluate the effects of hard machining, glaze firing and hydrofluoric acid etching on the biaxial flexural strength and roughness of a CAD/CAM leucite glass-ceramic; to investigate if ceramic post-machining ...