Yayıncı "Springer" Scopus İndeksli Yayınlar / Scopus Indexed Publications için listeleme
Toplam kayıt 72, listelenen: 61-72
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The Role of Diferentiation of Self in Predicting Rumination and Emotion Regulation Difculties
(Springer, 2020)The present study examined the predictive power of diferentiation of self on rumination and emotion regulation difculties. The participants (n=300), all aged over 26, responded to a personal information form, the ... -
Sahand: A Software Fault-Prediction Method Using Autoencoder Neural Network and K-Means Algorithm
(Springer, 2024)Software is playing a growing role in many safety-critical applications, and software systems dependability is a major concern. Predicting faulty modules of software before the testing phase is one method for enhancing ... -
Science and Technology from Global and Historical Perspectives
(Springer, 2017)Scholarly Science (al-ilm) is a term that is used to define all of the enlightening, guiding, and refreshing knowledge. It has two main branches as the definitive (explicit) sciences and probabilistic (implicit) sciences. ... -
Selective Laser Sintering Manufacturing and Characterization of Lightweight PA 12 Polymer Composites with Different Hollow Microsphere Additives
(Springer, 2021)The use of additives in polyamide polymeric SLS built frameworks further reinforces the goal of developing lightweight components, which serves as the basis for the current investigation. In this paper, different amounts ... -
Sensitivity Analysis for a Cooperative Adaptive Cruise Control Car Following Model: Preliminary Findings
(Springer, 2022)Microscopic traffic simulations are powerful tools to evaluate transportation systems. For a simulation model to represent reality at a satisfactory level, models require calibration. Calibration implies that inputs to ... -
Short‑term Climate Change Infuence on Surface Water Quality Impacts From Agricultural Activities
(Springer, 2023)Climate change is a global phenomenon that directly afects agriculture by altering crop yield, nutritional quality, pests, and plant diseases. The North Aegean Basin located in Turkey has considerable agricultural importance ... -
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 ... -
Synthesis of RGO/TiO2/PEDOT Nanocomposites, Supercapacitor Device Performances and Equivalent Electrical Circuit Models
(Springer, 2019)A new nanocomposite electrode incorporating poly(3,4-ethylenedioxythiophene) (PEDOT) within the nanocomposite film of the reduced graphene oxide / Titanium dioxide (TiO2) was synthesized to be used in supercapacitor ... -
Thermoplastic Polymers and Polymer Composites Used in Selective Laser Sintering (SLS) Method
(Springer, 2023)Selective laser sintering (SLS) is a powder bed fusion (PBF) additive manufacturing (AM) technique that uses high-energy beams (laser beams, electron beams, or an infrared panel heater) to coalescence (or melt) ... -
Thermo‑Mechanical Simulations of Selective Laser Melting for AlSi10Mg Alloy to Predict the Part‑scale Deformations
(Springer, 2019)Abstract Selective laser melting (SLM) is one of the most frequently employed metal additive manufacturing methods. Various industries such as aerospace, automotive, biomedical, and tooling utilize SLM parts. Although ... -
Trend Assessment by the Innovative-Şen Method
(Springer, 2016)Hydro-meteorological time series may include trend components mostly due to climate change since about three to four decades. Trend detection and identification in a better and refined manner are among the major current ... -
Triplet MAML for Few-shot Classification Problems
(Springer, 2023)In this study, we propose a TripletMAML algorithm as an extension to Model-Agnostic Meta-Learning (MAML) which is the most widely-used optimization-based meta-learning algorithm. We approach MAML from a metric-learning ...