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533 results for “High Data Rate”

Research Article Open Access The Investigation of Magnetic Levitation Performance of Bis (2-methoxy- 4-allylphenyl) Oxalate (I) (C22H22O6) Doped MgB2 Bulk Superconductor
Burcu Savaşkan, Savaşkan B, Sait Barış Güner, Güner S, Günay Kantar, Kantar G
2nd International Symposium on Innovative Approaches in Scientific Studies 2018

In this work, the effects of bis (2-methoxy-4-allylphenyl) oxalate (I) on levitation (Fz) and lateral forces (Fx) of bulk MgB2 superconductor has been investigated and reported for the first time. All samples were prepared from magnesium powder (Mg, 99.8 %),…

Research Article Open Access 3B Süperiletken Tellerin Benzeşimi için Yeni ve Verimli Bir Sayısal Model
Fedai İnanır, İnanır F, Şükrü Yıldız, Yıldız Ş, Fedor Gömöry, Gömöry F
Ist International Symposium on Innovative Approaches in Scientific Studies 2018

Maxwell denkleminin AV formülasyonu esas alınarak, zamana bağlı bir akım altında süperiletken telin elektromanyetik özelliklerini çözmek için yeni bir sayısal model geliştirilmiştir. Farklı akım genlikleri için alternatif akım (AA) kayıpları hesaplanmış ve iki…

Research Article Open Access Lightweight Attention-Based Framework for Semantic Segmentation and Compression of 3D LiDAR Data
Rytis Maskeliünas, Maskeliünas R, Sarmad Maqsood, Maqsood S
International Symposium on AI-Driven Engineering Systems 2025 https://doi.org/10.36287/setsci.22.5.001

Efficient semantic segmentation and compression of 3D point cloud data are essential for enabling scalable, real-world applications involving large-scale LiDAR environments. This work presents a lightweight hybrid framework that integrates point transformer v3…

Research Article Open Access Determination of Furniture Trends in Different Cities Based on Twitter Data in Terms of Gender
Timuçin Bardak, Bardak T, Selahattin Bardak, Bardak S
4th International Symposium on Innovative Approaches in Engineering and Natural Sciences 2019 https://doi.org/10.36287/setsci.4.6.020

The increase in firms in the furniture industry has made competition difficult. In this competitive environment, it is important to collect data and extract meaningful information. Every second, large amounts of data are generated on the Internet. The use of s…

Research Article Open Access Kompleks Değerli Yapay Sinir Ağları ile Kardiotokogram Verisinde Morfolojik Örüntü Sınıflandırma
Eda  Çapa Kızıltaş  , Çapa Kızıltaş   E, Ayşenur  Uzun  , Uzun   A, Ersen  Yılmaz  , Yılmaz   E
3rd International Symposium on Innovative Approaches in Scientific Studies (Engineering and Natural Sciences) 2019

Bu çalışmada UCI Makine Öğrenmesi havuzundan alınan kardiotokogram verisinde morfolojik örüntü sınıflandırması yapılmıştır. Sınıflandırıcı olarak kompleks değerli yapay sinir ağları kullanılmıştır. Sınıflandırıcının performansı 10-katlı çapraz doğrulama yaklaş…

Research Article Open Access Determination of Updated Tectonic Structure of Turkey Utilizing Gravity Data
Ali Elmas, Elmas A
2nd International Symposium on Innovative Approaches in Scientific Studies 2018

The updated structural discontinuities of Turkey are determined utilizing Bouguer gravity data in this study. Total horizontal gradient technique was used to reveal the lineaments. This technique is applied to first vertical derivative values of regional gra…

Research Article Open Access Detection of Apnea Event with ANN Using Acceleration Data
Harun Sümbül, Sümbül H, A. Hayrettin Yüzer, Yüzer A
International Symposium on Multidisciplinary Studies and Innovative Technologies 2017

In this study, the accelerations caused by the diaphragm movements during respiration were monitored with a 3-axis accelerometer and the measured accelerations were recorded on an SD card. A measurement system for this purpose was developed. The moments in whi…

Research Article Open Access The Use of a Robust-Adaptive Self Organizing Map to Enhance the Prediction Performance of Clinical Datasets
Naim Ajlouni, Ajlouni N, Alaa Ali Hameed, Hameed A, Ali Güneş, Güneş A, Adem Özyavaş, Özyavaş A, Zeynep Orman, Orman Z
International Congress on Human-Computer Interaction, Optimization and Robotic Applications 2019 https://doi.org/10.36287/setsci.4.5.031

Prediction in the medical field is a challenging problem and as a result many researchers have used different artificial intelligent methods including conventional Self Organizing Map (SOM) to achieve this task. SOM is a specialized clustering technique that h…

Research Article Open Access Advanced Maritime Vessel Detection in Satellite Imagery Using Masati-V2
Keerthi Reddy Gudibandi, Gudibandi K, Sreeram Venkata Sai Suchitha, Suchitha S, Chamarthi Sreenivasulu, Sreenivasulu C, Koduru Hajarathaiah, Hajarathaiah K
International Symposium on AI-Driven Engineering Systems 2025 https://doi.org/10.36287/setsci.22.15.001

Maritime vessel detection in satellite images address real time issues such as maritime security, illegal fishing and environmental monitoring, which require efficient tracking of vessels in large scale. Maritime vessel detection is challenged by limited annot…

Research Article Open Access Determınatıon of Socıal Appearance Anxıety of Students at Sport Management Department
Çisem Demirdöken, Demirdöken Ç, Gamze Deryahanoğlu, Deryahanoğlu G, Sibel Karaoğlan, Karaoğlan S, Rıfat Ceylan, Ceylan R
4th International Symposium on Innovative Approaches in Health and Sports Sciences 2019 https://doi.org/10.36287/setsci.4.9.042

Social appearance anxiety is the result of negative body image related to the bodies of individuals in general. The aim of this study is to investigate the social appearance anxiety of students studying in sports management department according to some variabl…

Research Article Open Access Failure Mechanisms in Enclosed Electric Motors Due to Insufficient Cooling at High Temperatures
Gizem Fırat, Fırat G
International Conference on Advances in Electrical-Electronics Engineering and Computer Science 2024 https://doi.org/10.36287/setsci.19.6.027

This study examines the failure mechanisms of a three-phase AC induction electric motor with a closed body design, intended to provide IP protection, due to insufficient cooling under high-temperature conditions. Overheating at elevated temperatures adversely …

Research Article Open Access High performance cement composites with nano-SiO2 and nano-Al2O3 powders
Tuğba Mutuk, Mutuk T, Sinem Çevik, Çevik S, Başak Mesci Oktay, Mesci Oktay B
4th International Symposium on Innovative Approaches in Engineering and Natural Sciences 2019 https://doi.org/10.36287/setsci.4.6.099

In this study, the effects nano-SiO2 and nano-Al2O3 on cement mortars were experimentally studied. The percentage of nano-powders were used as 1%, 3% and 5% into the material. Different types of analysis were used to nano-powder’s impact on the cement mortars.…

Research Article Open Access Yenilenebilir Enerji Kaynakları Arasında Yer Alan Termoelektrik ve ptipi Ca3Co4O9 Malzemelerin Enerji Kazanımı Yönünden İncelenmes
Nihal Derin Coşkun, Derin Coşkun N, Veli Uz, Uz V
2nd International Symposium on Innovative Approaches in Scientific Studies 2018

2018 yılı verilerine göre 7,6 milyarı geçen dünya nüfusu her geçen gün artmaya devam etmekte ve bu artışla birlikte insanların ihtiyaçları da her geçen gün artmaktadır. Enerji ihtiyacı ise temel gereksinimlerin başında yer almaktadır. Enerji geçmişte ve gele…

Research Article Open Access Time-Dependent Neutronic and Burn-up Analyses of in a Thorium-Based ADS cooled with Various Coolants
Gizem Bakır, Bakır G, Hüseyin Yapıcı, Yapıcı H
International Symposium on Multidisciplinary Studies and Innovative Technologies 2017

This study presents the investigation of thorium utilization in an ADS with Lead-Bismuth Eutectic (LBE) target. To effectively burn thorium, the ThO2 fuel rods cylindrically prepared, and cladded with SiC, are mixed with 233UO2 at volumetric ratio of 1%. These…

Research Article Open Access Chromatographic Performance of Weak Cation Exchanger Carrying Molecular Brushes Synthesized by Atom Transfer Radical Polymerization
Berna S. Kaya, Kaya B, Ali Tuncel, Tuncel A
International Symposium on Multidisciplinary Studies and Innovative Technologies 2017

The column materials in the form of monodisperse and porous particles were synthesized with regard to test their column performances in Ion Exchange Chromatography (IEC) mode. Particles in the form of poly(glycidil methacrylate-coethyleneglycol dimethacrylate)…

Research Article Open Access Chromatographic Performance of Weak Cation Exchanger Carrying Molecular Brushes Synthesized by Reversible Addition Fragmentation Chain Transfer Polymerization
Berna S. Kaya, Kaya B, Ali Tuncel, Tuncel A
International Symposium on Multidisciplinary Studies and Innovative Technologies 2017

The column materials in the form of monodisperse and porous particles were synthesized with regard to test their column performances in Ion Exchange Chromatography (IEC) mode. Particles in the form of poly(glycidil methacrylate-coethyleneglycol dimethacrylate)…

Research Article Open Access Chromatographic Performance of Weak Cation Exchanger Synthesized by a Simple Method
Berna S. Kaya, Kaya B, Ali Tuncel, Tuncel A
International Symposium on Multidisciplinary Studies and Innovative Technologies 2017

The column materials in the form of monodisperse and porous particles were synthesized with regard to test their column performances in Ion Exchange Chromatography (IEC) mode. Particles in the form of poly(glycidil methacrylate-coethyleneglycol dimethacrylate)…

Research Article Open Access Industry 4.0 Driven Risk Management for Climate Resilient Smart Cities A Hybrid Framework for Southeastern Türkiye
Mehmet Fatih Kendirci, Kendirci M, Aydın Oğuz, Oğuz A, Osman Hansu, Hansu O
7th International Symposium on Innovation in Architecture, Planning and Design 2025 https://doi.org/10.36287/setsci.23.116.001

This study presents a Hybrid Digital-Physical Risk Management Framework designed to enhance urban climate resilience through the integration of Industry 4.0 technologies. By combining real-time IoT sensor networks, AI-based predictive analytics, and blockchain…

Research Article Open Access Prediction of Recurrence of Differentiated Thyroid Cancer with Hybrid SMOTE-Stacking Model
Erkan Akkur, Akkur E, Serkan Cizmecioğulları, Cizmecioğulları S, Ahmet Cankat Öztürk, Öztürk A
International Trend of Tech Symposium 2024 https://doi.org/10.36287/setsci.21.6.033

Differentiated thyroid cancer (DTC) is the most frequent form of thyroid cancer. Although this type of cancer shows a favourable prognosis, the risk of recurrence remains a critical concern. Early and accurate prediction of the risk of recurrence is essential …

Research Article Open Access Comparison Of Machine Learning Methods In Predıctive Maintenance Applications Of Electric Motors
Berk Kahyaoğlu, Kahyaoğlu B, Nuri Berkcan Sarıel, Sarıel N, Erdinç Berkin Konca, Konca E
Proceedings of the 6th International Symposium on Innovative Approaches in Smart Technologies 2022 https://doi.org/10.36287/setsci.5.2.010

Three-phase asynchronous motors are widely used in many areas of industry. Unplanned malfunctions in the motor can cause the entire system to become inefficient. Detecting and intervening the malfunctions before they grow has a direct impact on the life of the…

Research Contributions (2019+)Peer reviewed by at least two reviewers
Open AccessCC BY 4.0
Open Discovery Metadata · DOI · OAI-PMH
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