Ara
Toplam kayıt 85, listelenen: 31-40
Hyper-Parameter Selection in Convolutional Neural Networks Using Microcanonical Optimization Algorithm
(The Institute of Electrical and Electronics Engineers, 2020)
The success of Convolutional Neural Networks is highly dependent on the selected architecture
and the hyper-parameters. The need for the automatic design of the networks is especially important
for complex architectures ...
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 ...
GraphQL Sorgu Oluşturma Sürecinde Kullanılan Araç ve Yöntemlerin Analizi ve İyileştirilmesi
(Marmara University Journal of Science, 2021)
Günümüzde yaşanan teknolojik gelişmeler, İnternete bağlanan toplam cihaz tür ve sayısında büyük bir artışa yol açmıştır. Sunucu makineler daha fazla istek almaya başlamış hem ağ trafiği hem de sunucu yanıt süresi olumsuz ...
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 ...
EEG Sinyallerinin Sınıflandırılmasında Evrimsel Öznitelik Seçim Metotlarının Kullanılması
(Marmara Üniversitesi, 2021)
Elektroensefalografi beyindeki elektriksel akımın ölçülmesi ile elde edilen sinyallerdir. Bu sinyallerin sınıflandırılması özellikle beyin sinyalleri ile ilgili rahatsızlıkların teşhis, tanı ve tedavisine katkı sağladığı ...
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 ...
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 ...