Skip to content
Home / Search

Search

330 results for “Machine Learning Models”

Research Article Open Access Alzheimer's and Huntington as Neurodegenerative Diseases
Tuğçe Karaduman, Karaduman T, Habibe Kutuk, Kutuk H
4th International Symposium on Innovative Approaches in Engineering and Natural Sciences 2019 https://doi.org/10.36287/setsci.4.6.030

Neurodegenerative diseases (NDD) are a group of diseases characterized by progressive loss of neuron function and structural deterioration. This may be due to damage at birth, as well as by the effect of genetic factors and aging, or as a combination of these.…

Research Article Open Access Integrating UAVs and YOLO Deep Learning for Early-Stage Forest Fire Detection
Hakan Mert Didis, Didis H, Firuze  Adibeli, Adibeli F, Ilayda  Boz, Boz I, Nesli S.  Azdavay, Azdavay N
International Trend of Tech Symposium 2024 https://doi.org/10.36287/setsci.21.3.012

The uncontrolled spread of forest fires, driven by climate change and increasing human activities, poses a significant global challenge, disrupting the delicate balance of ecosystems. These fires, whether caused by natural disasters or human factors, have seve…

Research Article Open Access Design of “Deep Learning Controller”
Köksal Erentürk, Erentürk K, Saliha Erentürk, Erentürk S
Ist International Symposium on Innovative Approaches in Scientific Studies 2018

Deep learning allows computational models of multiple processing layers to learn and represent data with multiple levels of abstraction mimicking how the brain perceives and understands multimodal information, thus implicitly capturing intricate structures of …

Review Open Access Generative AI in Radar Systems: A Survey of Emerging Techniques and Sectoral Applications
Selin Sevcan Çakan , Çakan  S, Niyazi Ahmet Metin , Metin  N, Ali Berkol, Berkol A
6th International Symposium on Innovations in Scientific Areas 2024 https://doi.org/10.36287/setsci.18.1.00101

In the contemporary era of technological advancements, integrating Generative Artificial Intelligence (AI) with radar systems has emerged as a groundbreaking approach to enhance the quality and clarity of radar data. This fusion has paved the way for significa…

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 Evaluation of Virtual Reality Experience in Electrical and Electronics Education
İpek Atilk, Atilk İ
International Trend of Tech Symposium 2024 https://doi.org/10.36287/setsci.21.10.052

This study aims to examine the feasibility and impact of conducting laboratory experiments, a fundamental component of electrical and electronics engineering education, on a virtual reality (VR)-based platform. The innovative platform, named "VR-EE Lab," provi…

Research Article Open Access İnşaat Mühendisliği Öğrencilerinin Teknik İngilizce Terimler Öğrenmesine Yönelik Bir Uygulama: “Her Gün 5 İngilizce Teknik Terim”
Latif Onur  Uğur  , Uğur   L
3rd International Symposium on Innovative Approaches in Scientific Studies (Engineering and Natural Sciences) 2019

Bugün Fen ve Mühendislik Bilimlerinde de İngilizce dili, geçer akçe olmak özelliğini sürdürmektedir. Bu durum özellikle İnşaat Mühendisliği ve Mimarlık gibi dallarda daha da belirgindir. İnşaat Mühendisliği öğrenimi, uygulamaları, gelişimi esnasında diğer dill…

Research Article Open Access Study of FPGA – Based Spiking Neural Networks: Classification Implementation
Mehmet Sinan Çınaroğlu, Çınaroğlu M, Erol Seke, Seke E
International Symposium on AI-Driven Engineering Systems 2025 https://doi.org/10.36287/setsci.22.26.001

With the help of ability to imitate the biological nervous system, Spiking Neural Networks (SNNs) architectures have become popular recently. In order to benefit at the maximum level from the low power consumption, event-based structure and parallelization fea…

Research Article Open Access Accurate and Scalable Object Detection for Smart Warehousing Using YOLOv8 and Residual CNNs
Iman Elawady, Elawady I, Abdulrahman Al Homsi, Homsi A, Omer Ahmed Mohamed Ahmed, Ahmed O
International Symposium on AI-Driven Engineering Systems 2025 https://doi.org/10.36287/setsci.22.51.001

Robust object detection and classification in dynamic industrial scenarios is still a challenge, in particular if the system has to work in real-time on mid-ranged hardware. Classical vision-based methods have difficulties to cope with low/weak illumination, r…

Research Article Open Access Mobil Manipülatörler için Derin Öğrenme Tabanlı Arıza Teşhis Sistemi
Zekican Yılmaz, Yılmaz Z, Tolga Yüksel, Yüksel T
Cognitive Models and Artificial Intelligence Conference 2023 https://doi.org/10.36287/setsci.6.1.011

Özetçe - Mobil manipülatörler, çeşitli endüstrilerde önemli bir rol oynamakta olup, üretim ve lojistikten sağlık hizmetleri ve felaket müdahalesine kadar birçok göreve katkı sağlamaktadır. Bu nedenle dünya genelinde çeşitli endüstriler büyüdükçe mobil manipüla…

Research Article Open Access Derin Öğrenme-Tabanlı Optimum Eşik Değeri ile Cihazdan Cihaza İşbirlikli İletişim Sistemlerinin Hata Başarımının İyileştirilmesi
Emre Çakar, Çakar E, Ahmet Emir, Emir A, Ferdi Kara, Kara F, Hakan Kaya, Kaya H
International Congress on Human-Computer Interaction, Optimization and Robotic Applications 2019 https://doi.org/10.36287/setsci.4.5.001

Makine öğrenmesi teknikleri, hesaplama hızları, başarımları ve tam bilgiye sahip olunmayan durumlarda bile sunduğu çözümler sayesinde birçok mühendislik problemleri için vazgeçilmez bir araç haline gelmiştir. Tüm mühendislik alanlarında olduğu gibi, kablosuz i…

Research Article Open Access Optimization of Surface Roughness in Turning of 1.2344 Hot Work Tool Steel
Barış Özlü, Özlü B, Mahir Akgün, Akgün M, Hasan Basri Ulaş, Ulaş H, Halil Demir, Demir H
International Symposium on Multidisciplinary Studies and Innovative Technologies 2017

In the present study, the effects of cutting parameters on surface roughness were investigated in order to determine the optimum machining conditions for the hot work tool steel (155 HB), which is an important part of the mold industry. For this purpose, the m…

Research Article Open Access El Yazısı Karakterlerin Tanınmasında Derin Sinir Ağlarının Etkinliği Kısıtlı ve Geniş Sınıf Yapılarının Performans Analizi
Erdin Fidan, Fidan E, Mahir Kaya, Kaya M
International Symposium on AI-Driven Engineering Systems 2025 https://doi.org/10.36287/setsci.22.65.001

Bu çalışmada, el yazısı karakterlerin tanınmasına yönelik derin öğrenme tabanlı bir model geliştirilmiştir. Model, farklı sayıda çıkış sınıfı (karakter) için test edilmiş; yalnızca 10 karakterin sınıflandırıldığı senaryoda %96 doğruluk oranı elde edilirken, sı…

Research Article Open Access Open and Auditable Drawdown Control: An Exit-Reserve Shield for Learned Portfolios
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.25.1.001

Open-finance systems increasingly compose portfolio models, data services, and execution interfaces supplied by different parties. This modularity is useful only if the executed wealth path can be checked independently of the model that proposed it. We study a…

Abstract Only Open Access Takım Çeliği İşlenmesi Sırasında Kesme Parametrelerin Kesme Kuvveti ve yüzey pürüzlülüğü Etkileri
Abdulmecit  GÜLDAŞ  , GÜLDAŞ   A, Peiman  BAGHERI  , BAGHERI   P, Hakan  DILIPAK  , DILIPAK   H
3rd International Symposium on Innovative Approaches in Scientific Studies (Engineering and Natural Sciences) 2019

Gerçekleştirilen bu çalışmada, CNC dik işleme tezgâhında kesme parametrelerinin iş parçası yüzey pürüzlülüğü ve kesme kuvvetin üzerine etkileri incelenmiştir. Deneyler 1.5 mm sabit talaş derinliği, üç farklı kesme hızı (90, 120 ve 150 mm/min) ve üç farklı iler…

Research Article Open Access İç Mekan Konumlandırma Yöntemleri
Hatice Arslantaş, Arslantaş H, Selçuk Ökden, Ökden S
4th International Symposium on Innovative Approaches in Engineering and Natural Sciences 2019 https://doi.org/10.36287/setsci.4.6.116

21. yüzyıldan itibaren teknolojideki gelişmeler sayesinde konum tabanlı sistemler giderek yaygınlaşmaya başlamıştır. Uydu tabanlı konumlandırma sistemleri, uydulardan gelen sinyallerin zayıf şiddette olması sebebi ile bina içine nüfuz edemez. Bir iç ortam konu…

Review Open Access Building and Urban-Scale Energy Modeling: A Comparative Literature Review of Building Energy Modeling (BEM) and Urban Building Energy Modeling (UBEM)
Sevilay Akalp, Akalp S, Dilan Kakdaş Ateş, Kakdaş Ateş D
7th International Symposium on Innovation in Architecture, Planning and Design 2025 https://doi.org/10.36287/setsci.23.60.001

Cities consume over two-thirds of the world’s energy and account for more than 70% of global CO₂ emissions. Given these negative impacts, cities are major contributors to climate change, one of the most pressing challenges of the 21st century. As dynamic organ…

Research Article Open Access Operative-predictive control of a reactor plant based on fuzzy models
Malika Doshanova, Doshanova M, Ortiq Ruzibayev, Ruzibayev O, Sherzod Sabirov, Sabirov S, Oybek Begimov, Begimov O
Proceeding of the Cognitive Models and Artificial Intelligence Conference 2024 https://doi.org/10.36287/setsci.17.1.0034

This article discusses an algorithm for fuzzy control of the technological mode of a reactor unit using fuzzy production models of logical inference and fuzzified measurement information from the control object, discusses the methodology of a computational exp…

Research Article Open Access Process Model and its Use in Architecture: An Assessment on the Documentation of Stone Building Elements Production Processes
Muhammed Çuha, Çuha M, Serdar Aydin, Aydin S
5th Symposium on Innovation in Architecture, Planning and Design 2023 https://doi.org/10.36287/setsci.6.2.0048

This research formulates guidelines for documenting stone building element production in contemporary crafting technologies, focusing on semi-automatic processes. Conducting a comprehensive examination of prevalent architecture process models, such as Business…

Research Article Open Access Sensitivity Analysis For Control Parameters Of Hybrid And Standard PSO Algorithms: Application Via A Rainfall-runoff Model Calibration
Umut Okkan, Okkan U, Umut Kırdemir, Kırdemir U
4th International Symposium on Innovative Approaches in Engineering and Natural Sciences 2019 https://doi.org/10.36287/setsci.4.6.085

In the phases of hydrological model calibration, the impact of control parameters of optimization algorithms on the related fitness (cost) function (reaching the global solution correctly and expeditiously) is rather essential. These control parameters’ dynami…

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