Ara
Toplam kayıt 25, listelenen: 11-20
An attack detection framework based on BERT and deep learning
(IEEE, 2022)
Deep Learning (DL) and Natural Language Processing (NLP) techniques are improving and enriching with a rapid pace. Furthermore, we witness that the use of web applications is increasing in almost every direction in parallel ...
Characterization of CP-Titanium produced via binder jetting and conventional powder metallurgy
(CSIC-Consejo Superior Investigaciones Cientificas, 2022)
Titanium (Ti) and its alloys are among the most commonly used materials in biomedical applications. In addition to being biocompatible, these materials have notable low density and high corrosion resistance and mechanical ...
A neural networks approach to predict call center calls of an internet service provider
(IOS Press, 2022)
n today's competitive business environment, companies are striving to reduce costs and workload of call centers while improving customer satisfaction. In this study, a framework is presented that predicts and encourages ...
Neutrosophic fuzzy weighted saving heuristic for COVID-19 vaccination
(IEEE, 2022)
Vaccination procedures, which are the most effective way to deal with the COVID-19 pandemic, have started worldwide. Since hospitals and health centers are used as vaccination centers, collecting people in one place can ...
Spherical bipolar fuzzy weighted multi-facility location modeling for mobile COVID-19 vaccination clinics
(IOS Press, 2022)
A pandemic was declared in 2020 due to COVID-19. The most important way to deal with the virus is mass vaccination which is a complex task in terms of fast transportation and process management. Hospitals and other health ...
Investigation of the effects of additives on the electrical and magnetic properties of polyester resin
(Istanbul University Cerrahpaşa, 2022)
Polymers are widely used as insulation materials in the electrical industry because their existing electrical and mechanical properties can be altered by adding different types of additives. Successful prediction of the ...
Explainable ensemble learning models for the rheological properties of self-compacting concrete
(MDPI-Multidisciplinary Digital Publishing Institute, 2022)
Self-compacting concrete (SCC) has been developed as a type of concrete capable of filling narrow gaps in highly reinforced areas of a mold without internal or external vibration. Bleeding and segregation in SCC can be ...
Predictions of astrometric jitter for sunlike stars. III. Fast Rotators
(IOP Publishing, 2022)
A breakthrough in exoplanet detections is foreseen with the unprecedented astrometric measurement capabilities offered by instrumentation aboard the Gaia space observatory. Besides, astrometric discoveries of exoplanets ...
Micro and nano damage observations of martensitic and austenitic open cell cast foams
(Elsevier Science, 2022)
In current study a detailed investigation of the 304 austenitic and 420 martensitic foams damage has been carried out at all hierarchical levels. In-situ compression testing of foams and microtensile testing of single ...
Optimum design of cylindrical walls using ensemble learning methods
(MDPI-Multidisciplinary Digital Publishing Institute, 2022)
The optimum cost of the structure design is one of the major goals of structural engineers. The availability of large datasets with preoptimized structural configurations can facilitate the process of optimum design ...