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Tran Thanh Ngoc, Le Van Dai, Lam Binh Minh
Pág. 258 - 269
This study investigates data standardization methods based on the grid search (GS) algorithm for energy load forecasting, including zero-mean, min-max, max, decimal, sigmoid, softmax, median, and robust, to determine the hyperparameters of deep learning ...
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Malgorzata Pietruska and Jan Krzysztof Pietruski
The aim of the study was to examine changes within the marginal bone and soft tissue aesthetics following placement of implants with a sloped shoulder configuration. Thirty patients with a single missing tooth who showed a palatal/lingual?buccal bone hei...
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Theodoros N. Kapetanakis, Melina P. Ioannidou, Anargyros T. Baklezos, Christos D. Nikolopoulos, Eleftheria S. Sergaki, Antonios J. Konstantaras and Ioannis O. Vardiambasis
This study aimed to estimate the radiofrequency exposure levels in the vicinity of nursery and primary schools at the northwest part of Crete island in Greece. Moreover, the compliance with the exposure limits, according to Greek legislation, was investi...
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Pramod Kumar and Pijush Samui
The present study focused on the design of geothermal energy piles based on cone penetration test (CPT) data, which was obtained from the Perniö test site in Finland. The geothermal piles are heat-capacity systems that provide both a supply of energy and...
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Annamalai Balamurugan, Thangavel Swaminathan Sivakumaran
Pág. 45 - 59
In this paper, a hybrid system is performed with fault detection and diagnosis on multi-phase induction motor (IM). The proposed method is hybrid of integrated Harris Hawk optimization (IHHO) and gradient boosting decision trees (GBDT) thus called the GB...
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