Ara
Toplam kayıt 144, listelenen: 31-40
Antibacterial and Cellular Behavior of PLA-based Bacitracin and Zataria Multiflora Nanofibers Produced by Electrospinning Method
(Taylor and Francis Group, 2021)
In this study, poly(lactic-acid) (PLA) polymer-based nanofiber (NF) was obtained by the electrospinning method. Antioxidant Zataria Multiflora (ZM, essential oil extract) and antibiotic effective bacitracin (BAC) materials ...
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 Macrocyclic Tetra‑Undecyl Calix[4]Resorcinarene thin Film Receptor for Chemical Vapour Sensor Applications
(Springer, 2020)
This work demonstrates the fabrication of chemical vapour sensors using Langmuir–Blodgett (LB) thin films, describing the
thin film properties of a tetra-undecyl calix[4]resorcinarene molecule along with a discussion of ...
A Comprehensive Disturbing Effect Analysis of Multi-Sectional Rotor Slot Geometry for Induction Machines in Electrical Vehicles
(Institute of Electrical and Electronics Engineers (IEEE), 2021)
Although the performance of an Induction Motor (IM) can be maximized for any speed by
use of an inverter, there is still room to contribute by optimizing the rotor slot shape while decreasing the
mechanical disturbing ...
An Adaptive Feature Extraction Method for Classification of Covid-19 X-Ray Images
(Springer Science and Business Media Deutschland GmbH, 2022)
This study aims to detect Covid-19 disease in the fastest and most accurate way from X-ray images by developing a new
feature extraction method and deep learning model . Partitioned Tridiagonal Enhanced Multivariance ...
Suppression of The Torsional Irregularity of High-rise Buildings Using Viscous Wall Dampers
(Springer, 2022)
The energy dissipation devices, with their capabilities of seismic demand reduction, are
effective and widely used innovative structural solutions for the seismic protection of
buildings. Viscous Wall Dampers (VWD) are ...
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 ...
Bi-criteria Simulated Annealing for the Curriculum-based Course Timetabling Problem With Robustness Approximation
(Springer, 2022)
In the process of developing a university’s weekly course timetable, changes in the data, such as the available time periods
of professors or rooms, render the timetable infeasible, requiring the administrators to repair ...
AT-ODTSA: a Dataset of Arabic Tweets for Open Domain Targeted Sentiment Analysis
(University of Bahrain, 2022)
In the field of sentiment analysis, most of research has conducted experiments on datasets collected from Twitter for
manipulating a specific language. Little number of datasets has been collected for detecting sentiments ...