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263 results for “IEEE-738 std”

Research Article Open Access Design of DFT Algorithm and Realization by Using FPGA
Kürşad Uçar, Uçar K, Hasan Erdinç Koçer, Koçer H
International Symposium on Multidisciplinary Studies and Innovative Technologies 2017

Field Programmable Gate Arrays (FPGAs) are configurable logic semiconductor devices which connect by programmable interconnections. They can be reprogrammed to desired application or functionality requirements. VHDL is a one of the hardware descriptive languag…

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 Arduino Kullanılarak Oluşturulan Kablosuz Sensör Ağında Şifreleme Algoritmalarının Karşılaştırılması
Cebrail Çiftlikli, Çiftlikli C, Kadir Aba, Aba K, Tahir Karakoç, Karakoç T
International Symposium on Multidisciplinary Studies and Innovative Technologies 2017

Günümüzde birçok alanda kullanılan Kablosuz Algılayıcı Ağlar genellikle açık alan uygulamalarında kullanıldıkları için dışarıdan gelen farklı saldırılara karşı korumasız durumda olabilirler. Ağı saldırılara karşı korumak ve verilerin güvenliğini sağlamak, Kabl…

Research Article Open Access Execution Certificates for Open Finance: Auditable Data Availability, Latency, and Cost in Learned Lead–Lag Trading
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.25.2.001

Open-finance interfaces make market data and trading services programmable, but an API response is not an executable signal. Economic information depends on data receipt, inference completion, and feasible order arrival. We propose an execution certificate: a …

Research Article Open Access Business-Aware Agentic Forecast Refinement for Enterprise Financial Planning
Hari Rajagopalan, Rajagopalan H
Proceedings of the International Conference on Open Finance (ICOF 2026) 2026 https://doi.org/10.36287/setsci.25.7.001

Enterprise financial forecasts are generated across multiple business dimensions such as products, regions, channels, customer cohorts, and segments. In a large enterprise, this can result in billions of populated intersections that finance teams cannot review…

Review Open Access We Are on the Precipice of a Post-Quantum World: Are You Prepared? A Review of NIST-Approved Post-Quantum Cryptographic Mechanisms for Immediate Adoption in Financial Infrastructure
Maria Teigeiro, Teigeiro M
Proceedings of the International Conference on Open Finance (ICOF 2026) 2026 https://doi.org/10.36287/setsci.25.9.001

Post-quantum cryptographic standardization is complete for the algorithms that matter most, yet adoption across financial infrastructure remains uneven and, in critical segments, largely absent. This paper argues that migration is no longer a research question…

Research Article Open Access Detecting Fraud, Waste, and Abuse in Healthcare Claims using AI: Applying Isolation Forest to Claim Analytics
Naren Chandra, Chandra N, Vineel Arekapudi, Arekapudi V
International Conference on Open Finance 2025 https://doi.org/10.36287/setsci.24.3.023

Healthcare fraud, waste, and abuse (FWA) are among the most significant drivers of financial inefficiency in healthcare systems worldwide, with estimates suggesting they contribute to as much as 10% of total healthcare expenditures. In the United States, these…

Research Article Open Access Enhancing Financial Market Sentiment Analysis Using Dataset Augmentation
Dante Contella, Contella D, Johnson Kinyua, Kinyua J, Charles Mutigwe, Mutigwe C
International Conference on Open Finance 2025 https://doi.org/10.36287/setsci.24.5.039

We developed a series of financial social media sentiment analysis models starting with PyFin-Sentiment, a recent state-of-the-art domain-specific large language model for the financial domain. We focused on label accuracy and improvements in the quality and q…

Research Article Open Access Blockchain Powered Interaction for Gamification of Smart Cities
Yasin Celik, Celik Y
7th International Symposium on Innovation in Architecture, Planning and Design 2025 https://doi.org/10.36287/setsci.23.8.001

The rapid growth of city populations and the increasing complexity of managing city infrastructure have led to the emergence of smart cities, which rely on advanced technologies to optimise urban services. However, one of the key challenges facing smart cities…

Research Article Open Access Açık Su Yüzeylerinin Kentsel Ortamda İnsan Biyoklimatik Konfor Şartlarına Etkisi; Van Kent Merkezi Örneği
Mustafa Keskin, Keskin M, Süleyman Toy, Toy S
7th International Symposium on Innovation in Architecture, Planning and Design 2025 https://doi.org/10.36287/setsci.23.52.001

Kentler, geçmişten günümüze hız ve haz çağının getirmiş olduğu olumsuz etkilerle doğallığını kaybetmiştir. Bu süreç çevre şartlarını da etkilemiştir. İklim değişikliği, hava kirliliği, yeşil alanların tahribatı vb. olumsuzluklar biyoklimatik konfor şartlarını …

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 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 Deep Learning Approaches for Lung Cancer Classification: A Comparative Study of Multiple Model Architectures
Ayşe Nur Durmaz, Durmaz A, Nihan Özbaltan, Özbaltan N
International Symposium on AI-Driven Engineering Systems 2025 https://doi.org/10.36287/setsci.22.41.001

Early detection of lung cancer remains a critical challenge in medical imaging, where accurate classification between benign and malignant pulmonary nodules can significantly impact patient outcomes. This study presents a comprehensive comparative analysis of …

Review Open Access Comparative Review of Machine Learning Methods in Revenue Forecasting
Ali Taghiyev, Taghiyev A, Özkan İnik, İnik Ö
International Symposium on AI-Driven Engineering Systems 2025 https://doi.org/10.36287/setsci.22.54.001

In this study, a classification problem is discussed to predict whether individuals' annual income levels are above $50,000. The UCI Adult Income Dataset, which is derived from the 1994 US Census (Census) data and is widely used in the field of machine learnin…

Research Article Open Access Bitki Hastalıklarını Tespit Eden Görüntü İşleme Sistemli Mobil Uygulama
Yiğitcan Soylu, Soylu Y, Mustafa Altıok, Altıok M
International Symposium on AI-Driven Engineering Systems 2025 https://doi.org/10.36287/setsci.22.43.001

Bitkilerde hastalıkların erken teşhisi, tarımsal verimliliğin artırılması ve ürün kayıplarının önlenmesi açısından büyük öneme sahiptir. Bu çalışmada, tarımsal üretimde önemli kayıplara yol açan bitki yaprak hastalıklarının erken teşhisine yönelik bir yapay ze…

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 Güç Elektroniği Elemanlarının Sağlamlık Kontrolü için Test Devresi Tasarımı
Muhammed Emin Gügenir, Gügenir M, Esra Arslan, Arslan E, Eyüp Emre Kasap, Kasap E, Emin Demirbaş, Demirbaş E, Nimet Korkmaz, Korkmaz N
International Trend of Tech Symposium 2024 https://doi.org/10.36287/setsci.21.7.038

Laboratuvar derslerinde öğrenci performansını etkileyen parametrelerden biri devrede kullanılan elemanların sağlam olup olmadığıdır. Devrede kullanılan elemanların işlevini yerine getiremez durumda olması öğrencilerin performans çıktılarını olumsuz etkilemekte…

Research Article Open Access Kentsel Hava Hareketliliğinin Tarihsel Gelişimi ve Karşılaştırmalı Ürün Performans Analizi
Orhan Erden, Erden O, Merve Sırım Tiryakioğlu, Tiryakioğlu M
6th International Symposium on Innovation in Architecture, Planning and Design 2024 https://doi.org/10.36287/setsci.20.6.042

İnsanlık tarihin en başından beri toplumlar hareket halindedir. Bu hareket isteği zaman içerisinde çeşitli gelişim aşamalardan geçmiştir ve değişmiştir. Uçma tutkusu ile temelleri atılan havacılık, kentsel hava hareketliliğinin (UAM) ortaya çıkışı ile farklı b…

Research Article Open Access The Impact of Electric Vehicles on The Grid
Abidin Keçeci, Keçeci A, Bülent Çavuşoğlu, Çavuşoğlu B
International Conference on Advances in Electrical-Electronics Engineering and Computer Science 2024 https://doi.org/10.36287/setsci.19.1.001

The unlimited nature of consumption and needs contrasts with the scarcity of usable resources, necessitating the optimal use of available resources. Alongside the careful protection of the environment and human health, it is crucial to meet needs with maximum …

Research Article Open Access Development of Machine Learning-Based Sales Cancellation/Return Forecasting Models for the E-Commerce Industry
Zehra Sude Sarı, Sarı Z, Batuhan Taşkapı, Taşkapı B, Gökay Dağdaş, Dağdaş G, Mehmet Fatih Akay, Akay M
International Conference on Advances in Electrical-Electronics Engineering and Computer Science 2024 https://doi.org/10.36287/setsci.19.5.022

E-commerce is evolving rapidly, creating a more competitive market environment. With this development, gaining a competitive advantage has become even more crucial. Companies implement various strategic moves to maintain their position in this competitive mark…

Research Contributions (2019+)Peer reviewed by at least two reviewers
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