Güncel Gönderiler: Türk-Alman University Institutional Repository
Toplam kayıt 957, listelenen: 21-40
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1998 tarihli uluslararası ceza mahkemesi Roma Statüsü’nün konu bakımından yargı yetkisine ilişkin hükümlerinin kimyasal silahlar açısından yorumlanması
(2023)The subject of this study is whether chemical weapons are within the jurisdiction of the International Criminal Court. The Rome Statute of 1998, which established the International Criminal Court did not explipictly ... -
Das türkische datenschutzrecht im überblick - gemeinsamkeiten und wesentliche unterschiede zur Rl 95/46 Und zur DSGVO in theorie und PraxisAn Overview of Turkish data protectıon law - similarities and essentıal differences to EU-directive 95/46 and the GDPR in theory and practıce
(2023)Der Schutz personenbezogener Daten hat in der Türkei keine so lange Tradition im Vergleich zur Europäischen Union mit ihren allgemeinen1 und sektorspezifischen2 oder der USA mit ihren hauptsächlich sektorspezifischen und ... -
A hybrid machine learning and fuzzy inference approach with UAV for indoor virus contamination risk
(2023)With the impact of the Covid-19 pandemic in 2020, major established health rituals were forced to transform. The most well-known of these is the medical mask, which is widely used and required to be worn in designated ... -
Circular intuitionistic fuzzy decision making and its application
(Expert Systems with Applications, 2023)Circular intuitionistic fuzzy set (C-IFS) is introduced by Atanassov in 2020 as an extension of intuitionistic fuzzy sets. It is represented by a circle with a radius (r) of each element consist of degrees of membership ... -
Amerika’da üç tönnies: Park, sorokin ve parsons alımlamaları
(2023)Sosyoloji tarihinde sosyologların gerçekleştirdikleri araştırmalar, ortaya koydukları kavramlar ve geliştirdikleri teoriler kadar, bunların gerek kendi dönemlerinde ve otantik ulusal sosyoloji ortamlarında gerekse farklı ... -
The efect of RCA pavements on the liquefaction‑induced settlement
(2023)The use of recycled concrete aggregates (RCA) not only reduces the demand for natural aggregates (NA) but also might improve the behavior of soil under earthquake loading. In this study, the behavior of the pavement ... -
Weak field and slow motion limits in energy–momentum powered gravity
(Elsevier BV, 2023)We explore the weak field and slow motion limits, Newtonian and Post-Newtonian limits, of the energy–momentum powered gravity (EMPG), viz., the energy–momentum squared gravity (EMSG) of the form f (TµνT µν ) = α(TµνT µν ... -
Memetik süreçlerine müdahale edilmiş içerik: Mizah içerikli instagram postlarının mem perspektifinden analizi
(2023)Kültürel aktarım birimi olarak tanımlanan mem, 90’lı yıllardan itibaren aktif bir araştırma konusu olmuştur, 2000’lerin başında ise dijital iletişim teknolojilerinin gelişimi sayesinde kullanıcı içeriklerinin dijital ekosistemin ... -
Evaluation of deep transfer learning methodologies on the COVID-19 radiographic chest images
(International Information and Engineering Technology Association, 2023)In 2019, the world had been attacked with a severe situation by the new version of the SARSCOV-2 virus, which is later called COVID-19. One can use artificial intelligence techniques to reduce time consumption and find ... -
Polizei und ihre verflechtungen: Gordischer knoten oder neuronales netzwerk?
(2023)Der Text behandelt die Frage, wie sich Behörden und Organisationen mit Sicherheitsaufgaben (BOS) untereinander koordinieren. Kann die Koordination der Polizei(en) als gordischer Knoten oder als neuronales Netzwerk beschrieben ... -
Effect of equal-channel angular pressing on ordering kinetics and twinning in an 18-carat AuCuAg alloy
(2023)The ability to modify microstructural features and the resulting properties of red gold provides an attractive potential for applications in electronics, dental devices or jewelry. In this study, the effect of severe ... -
Optimal dimensions of post-tensioned concrete cylindrical walls using harmony search and snsemble learning with SHAP
(2023)The optimal design of prestressed concrete cylindrical walls is greatly beneficial for economic and environmental impact. However, the lack of the available big enough datasets for the training of robust machine learning ... -
Predictive modeling of recycled aggregate concrete beam shear strength using explainable ensemble learning methods
(2023)Construction and demolition waste (CDW) together with the pollution caused by the production of new concrete are increasingly becoming a burden on the environment. An appealing strategy from both an ecological and a ... -
Data-driven ensemble learning approach for optimal design of cantilever soldier pile retaining walls
(Elsevier, 2023)Cantilever soldier pile retaining walls are used to ensure the stability of excavations. This paper deploys ensemble machine learning algorithms towards achieving optimum design of these structures. A large dataset was ... -
Explainable machine learning model for predicting punching shear strength of FRC flat slabs
(Elsevier BV, 2023)Reinforced concrete slabs are vulnerable to punching shear failure at the slab-column joint, which can initiate catastrophic progressive collapse. The addition of steel fibers in the concrete matrix has emerged as an ... -
Neural network predictive models for alkali-activated concrete carbon emission using metaheuristic optimization algorithms
(2023)Due to environmental impacts and the need for energy efficiency, the cement industry aims to make more durable and sustainable materials with less energy requirements without compromising mechanical properties based on ... -
Explainable data-driven ensemble learning models for the mechanical properties prediction of concrete confined by aramid fiber-reinforced polymer wraps using generative adversarial networks
(2023): The current study offers a data-driven methodology to predict the ultimate strain and compressive strength of concrete reinforced by aramid FRP wraps. An experimental database was collected from the literature, on which ... -
Data-driven interpretable ensemble learning methods for the prediction of wind turbine power incorporating SHAP analysis
(Elsevier, 2023)Wind energy increasingly attracts investment from many countries as a clean and renewable energy source. Since wind energy investment cost is high, the efficiency of a potential wind power plant should be determined ... -
Explainable ensemble learning data-driven modeling of mechanical properties of fiber-reinforced rubberized recycled aggregate concrete
(Elsevier, 2023)Colossal amounts of construction and demolition waste (C&D) and waste tires have become a considerable global environmental concern. To alleviate this issue, it is proposed to use crumb rubber (CR) derived from waste ... -
Interpretable predictive modelling of basalt fiber reinforced concrete splitting tensile strength using ensemble machine learning methods and SHAP approach
(2023)Basalt fibers are a type of reinforcing fiber that can be added to concrete to improve its strength, durability, resistance to cracking, and overall performance. The addition of basalt fibers with high tensile strength ...
