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105 results for “Predictive Modelling”

Research Article Open Access Konsantrasyonlu Fotovoltaik Termal Bir Sistemde Soğutucu Akışkan Tipi ve Kanal Geometrisinin Elektriksel Verim ve Isıtma Kapasitesine Etkisi
Burak Kurşun, Kurşun B, Korhan Ökten, Ökten K
4th International Symposium on Innovative Approaches in Engineering and Natural Sciences 2019 https://doi.org/10.36287/setsci.4.6.089

Günümüzde gelişen teknolojiyle birlikte artan sera gazı emisyonları ve küresel ısınma problemleri yenilenebilir enerji kaynaklarının kullanımını önemli ölçüde artırmıştır. Yenilenebilir enerji kaynakları güneş enerjisi, rüzgar enerjisi, jeotermal enerji, hidro…

Research Article Open Access Pathological Element-Based Memelement Circuits
Yunus Babacan, Babacan Y
Ist International Symposium on Innovative Approaches in Scientific Studies 2018

This study presents the modelling of the pathological elements based memelements. More than forty years ago, Chua predicted the existence of memristor (memory+resistor) which is the fourth fundamental passive circuit element. In 2008, Hewlett Packard (HP) rese…

Research Article Open Access A Bayesian imputation approach for handling missing data in repeatedly measured categorical variables
Oya Kalaycıoğlu, Kalaycıoğlu O
Ist International Symposium on Innovative Approaches in Scientific Studies 2018

Multiple imputation (MI) is increasingly being used as a sophisticated tool to handle missing data in the recent years. The standard MI techniques use Bayesian sampling methods for making posterior draws for the imputations and analyse the imputed data sets un…

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 Can We Stop the Backtest Yet? Anytime-Valid Promotion Tests for Adaptive Financial Research Agents
Eric Benhamou, Benhamou E, Jean-Jacques Ohana, Ohana J, Beatrice Guez, Guez B, Thomas Jacquot, Jacquot T, Ethan Setrouk, Setrouk E, Chamyl Saadi, Saadi C
Proceedings of the International Conference on Open Finance (ICOF 2026) 2026 https://doi.org/10.36287/setsci.25.3.001

Adaptive research systems can generate, discard, revise, and monitor trading rules faster than their selection history can be audited. We ask when such a system may promote a frozen rule to governed forward evaluation. The proposed protocol assigns each candid…

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 Kalp Hastalığı Risk Tahmini için Makine Öğrenmesi Tabanlı Mobil Uygulama
Bartu Başaran, Başaran B, Ali Akdağ, Akdağ A
International Symposium on AI-Driven Engineering Systems 2025 https://doi.org/10.36287/setsci.22.48.001

Sunulan çalışmada, kalp hastalığı riskinin erken ve güvenilir biçimde tahmin edilmesini sağlayan makine öğrenmesi tabanlı bir mobil uygulama geliştirilmiştir. Dokuz farklı algoritma değerlendirilmiş, en yüksek doğruluğa (%86,81) sahip olan k-NN modeline rağmen…

Research Article Open Access A Novel Deep Learning Model for Diabetes Diagnosis
Haniyeh FATTAHI, FATTAHI H, Yousef FARHANG, FARHANG Y
International Symposium on AI-Driven Engineering Systems 2025 https://doi.org/10.36287/setsci.22.1.001

Diabetes is a chronic disease affecting millions worldwide, necessitating early and accurate diagnosis for effective management. Traditional diagnostic methods, while reliable, often struggle with efficiency and early-stage detection. Deep learning has emerged…

Research Article Open Access Öneri Sistemlerinde Kişilik Özelliklerine Göre Performans ve Popülerlik Yanlılığı Analizi
Tuğba Türkoğlu Kaya, Türkoğlu Kaya T
International Symposium on AI-Driven Engineering Systems 2025 https://doi.org/10.36287/setsci.22.9.001

Öneri sistemleri, kullanıcıların tercihlerine dayalı olarak kişisel ve memnuniyetin ön planda olduğu öneriler sunmayı amaçlamaktadır. Ancak her ne kadar amaç doğrultusunda hareket edilmeye çalışılsa da, önerilerde popüler yanlılığı problemi ile karşılaşılmakta…

Research Article Open Access Brain Tumor Classification Using Fine-Tuned Transfer Learning
Mustafa Suban Dut, Dut M, Meriç Çetin, Çetin M
International Symposium on AI-Driven Engineering Systems 2025 https://doi.org/10.36287/setsci.22.10.001

Brain tumor is a progressive disease that significantly affects human life. These diseases can reduce the quality of life by causing losses in motor and cognitive functions. Since the chance of treatment decreases when not diagnosed early, advanced technologie…

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 XAI-Powered Comparative Diabetes Prediction with XGBoost, SVM and Artificial Neural Networks
Furkan Sefa Demirci, Demirci F, Remzi Yıldırım, Yıldırım R
International Symposium on AI-Driven Engineering Systems 2025 https://doi.org/10.36287/setsci.22.30.001

In this study, diabetes prediction was conducted using XGBoost, Support Vector Machines (SVM), and a Multilayer Artificial Neural Network (ANN). Attributes that cannot be biologically ‘0’ (e.g. glucose, BMI) were first marked as NaN. After filling the missing …

Research Article Open Access Predictive Analysis of Cross-Cultural Issues in Global Software Development Using AI Techniques
Zohaib  Iqbal, Iqbal Z, Gizem Temelcan Ergenecosar, Ergenecosar G
International Trend of Tech Symposium 2024 https://doi.org/10.36287/setsci.21.9.049

Global Software Development (GSD) brings together teams from diverse regions and cultural backgrounds, allowing for the pooling of varied expertise and perspectives. However, this international collaboration often comes with significant challenges, such as com…

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 Hyperparameter Optimization for A Hybrid CNN-LSTM-based Intrusion Detection System
Pınar Ayyıldız, Ayyıldız P, Oğuzhan Karahan, Karahan O
Proceeding of the Cognitive Models and Artificial Intelligence Conference 2024 https://doi.org/10.36287/setsci.17.1.007

Network security is becoming more and more important as a result of the growing use of the internet and technological developments. Intrusion Detection Systems (IDS) are utilized to detect attacks, preferably by monitoring real-time events. Therefore, they hol…

Research Article Open Access Evaluation of the University Students Friendship Status Effect on Their Academic Achievement with Data Mining Techniques
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.4.6.022

There are many factors that affect students' motivation to learn. Number of friends, friendship satisfaction and communication skills are some of the important factors. In scientific studies, friendship and peer rejection have unique effects on academic achiev…

Research Article Open Access Akıllı Binalarda Konfor Faktörü ve Optimizasyonu
Nevin Irak, Irak N, Ercan Nurcan Yılmaz, Yılmaz E
International Congress on Human-Computer Interaction, Optimization and Robotic Applications 2019 https://doi.org/10.36287/setsci.4.5.027

Enerji verimliliği alanındaki çalışmalar hız kesmeden artarken insanların konfor beklentileri de her geçen gün daha fazla yükselmektedir. Bununla birlikte, akıllı binaların sayısı da teknolojik gelişmelere paralel olarak artmaktadır. Günümüzde akıllı binalar h…

Research Article Open Access Uyku Bozuklukları ve Kardiyovasküler Hastalıklar
Nural Erzurum Alim, Erzurum Alim N, Şerife  Ayten, Ayten Ş
3rd International Symposium on Innovative Approaches in Scientific Studies (Social, Human and Administrative Sciences) 2019

Uyku bozuklukları toplumda yaygın olarak görülen bir halk sağlığı sorunudur. Uyku; zaman, ışık, beslenme gibi birçok çevresel faktörden etkilenen 24 saatte bir tekrar eden sirkadiyen ritmin önemli bir parçasıdır. Uyku bozuklukları; İnsomnia [kronik uykusuzluk]…

Research Article Open Access Karar Ağaçları ile Otistik Spektrum Bozukluğu Tanısı Koyma
Büşra  DUYGU  , DUYGU   B, Merve  KOCAOĞLU  , KOCAOĞLU   M, Aysun  COŞKUN  , COŞKUN   A
3rd International Symposium on Innovative Approaches in Scientific Studies (Engineering and Natural Sciences) 2019

Çalışmamız; sosyal etkileşim, tekrarlayan davranışlar, kısıtlı ilgi alanları ve iletişim sorunu olarak ortaya çıkan ve ömür boyu devam eden bir gelişim bozukluğu olan Otizmin erken tanısı üzerine gerçekleştirilmiştir. Karar ağacı algoritmaları ile Otistik Spek…

Research Article Open Access Kronik Böbrek Hastalığının Makine Öğrenmesi Teknikleri ile Sınıflandırılması
Mustafa İlker  ERDURSUN  , ERDURSUN   M, Hasan  ERBAY  , ERBAY   H, Ömer Faruk  AKMEŞE  , AKMEŞE   Ö, İbrahim  DOĞAN  , DOĞAN   İ
3rd International Symposium on Innovative Approaches in Scientific Studies (Engineering and Natural Sciences) 2019

Teknolojinin ilerlemesi ile birlikte birçok veri dijital ortamlarda kayıt altına alınarak büyük veri yığınları ortaya çıkmıştır. Veri madenciliği sayesinde bu büyük veri yığınlarının içinden anlamlı ve yararlı bilgilerin ortaya çıkarılması için çalışmalar yapı…

Research Contributions (2019+)Peer reviewed by at least two reviewers
Open AccessCC BY 4.0
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