400 results for “real-time object detection”
Research Article
Open Access Gürültülü ve Gürültüsüz Ortamlarda Servo Sistemin Kalman Durum Kestirimi ve LQR Kontrolü
Nedime Merve Aydın, Aydın N, Ömer Aydoğdu, Aydoğdu Ö
3rd International Symposium on Innovative Approaches in Scientific Studies (Engineering and Natural Sciences) 2019
Doğru akım motoru servo sistemlerde önemli bir tahrik unsurdur. Hız veya konum denetimi gerektiren sistemlerde kolay denetlenebildiği ve yüksek performans gösterdiği için sıkça kullanılmaktadırlar. Bu çalışmada, bir DC servo sistemin modellenmesi, durum değişk…
Research Article
Open Access Electric - Electronic Pictogram Using in the Building Elements
Cengiz Tavşan, Tavşan C, Filiz Tavşan, Tavşan F, Serkan Sipahi, Sipahi S
2nd International Symposium on Innovative Approaches in Scientific Studies 2018
Beginning from the 20th. Century, Architectural designs and plans are became more complex because of the
increasing of functional needs. This appeared an orientation problem for users of the big complex buildings like hospitals, airport,
shopping mall, etc. …
Research Article
Open Access Structured Deep Learning Supported with Point Cloud for 3D Human Pose Estimation
Erdal Özbay, Özbay E, Ahmet Çınar, Çınar A, Zafer Güler, Güler Z
International Symposium on Multidisciplinary Studies and Innovative Technologies 2017
In this paper, a structural-output is obtained to estimate 3D human pose using 3D human point cloud and monocular images. The Neural Network takes a human image and 3D pose as inputs and gives outputs a score value. Conditional Random Field (CRF) approach is u…
Research Article
Open Access Explainable Multi-Task Deep Learning for Blood Glucose Forecasting: A Lightweight, Interpretability Focused Approach
Sarmad Maqsood, Maqsood S, Muhammad Abdullah Sarwar, Sarwar M, Egle Belousoviene, Belousoviene E, Rytis Maskeliünas , Maskeliünas R
International Symposium on AI-Driven Engineering Systems 2025 https://doi.org/10.36287/setsci.22.4.001
Accurate and transparent blood glucose forecasting is crucial for effective diabetes management. This paper presents an interpretable deep learning (DL) framework based on multi-task learning (MTL) for forecasting glucose levels at multiple prediction horizons…
Research Article
Open Access Decomposition of a Fourth-Order Linear Time-Varying System
Mehmet Emir Koksal, Koksal M, Salisu Ibrahim, Ibrahim S
4th International Symposium on Innovative Approaches in Engineering and Natural Sciences 2019 https://doi.org/10.36287/setsci.4.6.043
In this presentation, conditions and explicit formulas for the realization of a relaxed fourth-order linear time-varying system as a cascade connection of two commutative first and third-order systems are given. The results are supported by an example.
Research Article
Open Access An AI-Driven Drone-Integrated Mobile Photobioreactor System: A Novel Approach to Atmospheric Carbon Sequestration and Oxygen Emission
Betül Güroy, Güroy B
International Symposium on AI-Driven Engineering Systems 2025 https://doi.org/10.36287/setsci.22.31.001
A universally applicable “optimal photobioreactor” design has yet to be established, as the success of such systems varies depending on the algal species used, environmental conditions, and intended applications. Meanwhile, the accelerating pace of climate cha…
Research Article
Open Access Analysis Of Housing Rental Values With Artificial Neural Networks
Mahmut İbiş, İbiş M, Hasan Erbay, Erbay H
3rd International Symposium on Innovative Approaches in Scientific Studies (Engineering and Natural Sciences) 2019
Today, artificial intelligence, which has been used in all areas of life, has been used effectively in real estate housing market researches. Artificial intelligence, one of the techniques of artificial intelligence, inspired by the working principle of human …
Review
Open Access A Survey of Cyber-Threats for the Security of Institutions
Mehmet Karakaya, Karakaya M, Abdullah Sevin, Sevin A
Proceeding of the 5th International Symposium on Innovative Approaches in Smart Technologies 2022 https://doi.org/10.36287/setsci.5.1.018
Cyber security is an important concept, and its importance is increasing daily in every aspect of our daily lives. The increase in technology usage areas and rate in online platforms is one of the most important reasons for the security requirement. Today, the…
Research Article
Open Access The New Activation Function for Complex Valued Neural Networks: Complex Swish Function
Mehmet Çelebi, Çelebi M, Murat Ceylan, Ceylan M
4th International Symposium on Innovative Approaches in Engineering and Natural Sciences 2019 https://doi.org/10.36287/setsci.4.6.050
Complex-valued artificial neural network (CVANN) has been developed to process data with complex numbers directly. In a CVANN the weights, threshold, inputs and outputs are all complex numbers. The convergence of the CVANN back propagation algorithm depending …
Research Article
Open Access A Comparative Evaluation of Interpolation and Generative Oversampling Techniques for Predictive Maintenance
Abdazeez Atere, Atere A, Hasan Kivrak, Kivrak H
International Symposium on AI-Driven Engineering Systems 2025 https://doi.org/10.36287/setsci.22.21.001
Predictive maintenance (PdM) enhances industrial operational efficiency by facilitating timely detection of equipment failures using machine learning models developed from historical maintenance data. Real-world industrial datasets frequently exhibit signific…
Research Article
Open Access Enhancing Offline Handwritten Signature Identification with Pre-Trained CNN Architectures
Nader Ebrahimpour, Ebrahimpour N
Proceeding of the Cognitive Models and Artificial Intelligence Conference 2024 https://doi.org/10.36287/setsci.17.1.0030
Handwritten Signature Recognition (HSR) is a vital task in document authentication and verification systems. This paper proposes a novel approach for offline HSR leveraging pre-trained Convolutional Neural Network (CNN) models. CNNs have demonstrated remarkabl…
Research Article
Open Access Üretken Çekişmeli Ağ Kullanarak Eski Görüntüleri Renklendirme ve İyileştirme
Arda Cem Bilecan, Bilecan A, Simay Hoşmeyve, Hoşmeyve S, Bahadır Karasulu, Karasulu B
Proceeding of the 5th International Symposium on Innovative Approaches in Smart Technologies 2022 https://doi.org/10.36287/setsci.5.1.008
Günümüzde derin öğrenme alanı için veri, çalışma sonuçlarının başarı oranı için büyük önem taşımaktadır. Bu ihtiyaca yönelik olarak görüntü işleme konusunda yapabileceğimiz iyileştirmeler ile daha kaliteli ve eksiksiz görüntüler elde etmek ve eski verilerde ka…
Review
Open Access Effect of Temperature on Sensors Used in Structural Health Monitoring: A Literature Review
Mesut TEKKALMAZ , TEKKALMAZ M, Gökhan Haydarlar, Haydarlar G
Ist International Symposium on Innovative Approaches in Scientific Studies 2018
Structural health monitoring is an interdisciplinary field that enables early detection of undesirable situations such as damage or defects that occur in the structure or its components thanks to its ability to self-diagnosis. It is possible to use safer engin…
Review
Open Access Functional Development in Facial Transplants Using Surface EMG Analysis: Literature Review
Serkan Şenkal, Şenkal S, Hakan Çoban, Çoban H, Mustafa Demir, Demir M, Arzu Sarıgül, Sarıgül A
Ist International Symposium on Innovative Approaches in Scientific Studies 2018
In recent years, significant improvements have been made in face transplants as well as organ transplants operations. It is also important to improve the adaptation process and quality of life of the patient after the transplant as well as the successful compl…
Research Article
Open Access Determination of Percentile Sunlit Time of a Rooftop using the VI-Suite
Hakan Aydoğan, Aydoğan H, Mehmet Feyzi Özsoy, Özsoy M
International Symposium on Multidisciplinary Studies and Innovative Technologies 2017
The aim of this study is to determine instantaneous irradiance and annual percentile sunlit time on the available rooftop floor area of Technical and Social Science Vocational School at Usak University by simulation using open source software. The building of …
Research Article
Open Access Comparative Political and Economic Vulnerability: A Composite-Index Approach
Madhu Thota, Thota M, Sri Ram Uppugalla, Uppugalla S, Chaitanya Basava, Basava C
Proceedings of the International Conference on Open Finance (ICOF 2026) 2026 https://doi.org/10.36287/setsci.25.6.001
This study develops the Political and Economic Vulnerability Score (PAVS), a composite index for assessing cross-country differences in macro-financial and institutional vulnerability. Drawing on publicly available World Bank data, the index combines 13 indica…
Research Article
Open Access AICrypto‑Assistant: A Multi‑Agent LLM Platform for Democratizing Crypto‑Asset Analysis
Mimoza Dimodugno, Dimodugno M, Mehdi Mammadov, Mammadov M
International Conference on Open Finance 2025 https://doi.org/10.36287/setsci.24.2.017
Market democratization through conversational AI represents a critical frontier in financial technology, yet cryptocurrency analysis remains dominated by institutional players with sophisticated toolchains. We introduce AICrypto-Assistant, the first open-sourc…
Research Article
Open Access A Conceptual Framework for AI-Assisted Monitoring in Microalgae Cultivation: A Case Study on Synechococcus elongatus PCC 3055
Betül Güroy, Güroy B, Derya Güroy, Güroy D, İzzet Şahin, Şahin İ, Serhan Mantoğlu, Mantoğlu S, Mustafa Rüçhan Pekcan, Pekcan M
International Symposium on AI-Driven Engineering Systems 2025 https://doi.org/10.36287/setsci.22.29.001
Microalgae are recognized as environmentally sustainable and biologically renewable resources for the production of high-value products such as biomass, biofuels, dietary supplements, and pharmaceuticals. However, their large-scale cultivation is highly sensit…
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 …
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…