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Toplam kayıt 150, listelenen: 101-110
An Improved Bees Algorithm for Training Deep Recurrent Networks for Sentiment Classification
(MDPI, 2021)
Recurrent neural networks (RNNs) are powerful tools for learning information from
temporal sequences. Designing an optimum deep RNN is difficult due to configuration and training
issues, such as vanishing and exploding ...
Assessment of Optimum Renewable Energy System for the Somalia–Turkish Training and Research Hospital in Mogadishu
(MERC, 2021)
Somalia–Turkish Training and Research Hospital in Mogadishu, is only powered by diesel generator currently. In this paper, the energy demand of this hospital is utilized by determining the optimum hybrid renewable energy ...
Extended Describing Function Modeling and Closed-Loop Control of LLC Converter in Battery Charging Applications
(Institute of Electrical and Electronics Engineers (IEEE), 2021)
The variable switching frequency control of LLC
converters makes the modeling and compensator design rather
a difficult task. In this paper, an extended describing function
modeling that can represent the beat frequency ...
A Study on Earthquake Performances of Reinforced Concrete Buildings with Various Number of Stories
(Golden Light Publishing, 2021)
Seismic codes generally require that the Equivalent Seismic Load Method or the Modal Response Spectrum
Method is adopted in the design of buildings. In the equivalent seismic load method, the equivalent seismic
static ...
An Introduction to Trenchless Technology Piping (+Türkçe Özet)
(GülMat. Publishing, 2021)
The first reason for the preparation of this book is to share recent developments
experienced in underground infrastructure technology with readers. It is the fact
that innovative methods are becoming main route in ...
Iterative Enhanced Multivariance Products Representation for Effective Compression of Hyperspectral Images
(IEEE, November 2)
Effective compression of hyperspectral (HS) images
is essential due to their large data volume. Since these images are
high dimensional, processing them is also another challenging
issue. In this work, an efficient lossy ...
Fragility Analysis of Atmospheric Storage Tanks by Observational and Analytical Data
(Springer, 2021)
In this research, seismic fragility analysis of storage tanks is carried out with a large damage database from past earthquakes
and analytical studies. At the fragility analysis, a new damage state has been defined. Peak ...
MS-TR: A Morphologically Enriched Sentiment Treebank and Recursive Deep Models for Compositional Semantics in Turkish
(Taylor & Francis, 2021)
Recursive Deep Models have been used as powerful models to learn
compositional representations of text for many natural language processing tasks.
However, they require structured input (i.e. sentiment treebank) to encode ...
A Deep Learning Model for Automated Segmentation of Fluorescence Cell images
(IOP Publishing Ltd, 2021)
Deep learning techniques bring together key advantages in biomedical image
segmentation. They speed up the process, increase the reproducibility, and reduce the workload
in segmentation and classification. Deep learning ...
Software Project Failure Process Definition
(Institute of Electrical and Electronics Engineers Inc., 2022)
Many researchers have attempted to identify the factors behind software project failures and
their solutions from various perspectives. However, systematic and integrated process definitions of failure
as process models ...