66 results for “Deep learning, controller design, control engineering, big data”
Review
Open Access Seismic Data Analysis with Deep Learning Models: Methods, Applications, and Future Perspectives
Betül Ağaoğlu, Ağaoğlu B, İman Askerzade, Askerzade İ, Gazi Erkan Bostancı, Bostancı G, İhsan Tolga Medeni, Medeni İ
6th International Symposium on Innovations in Scientific Areas 2024 https://doi.org/10.36287/setsci.18.1.00120
Seismic data is a critical source for examining and understanding subsurface structures. It is used in various fields such as oil exploration, geological research, mining, underground infrastructure planning, environmental monitoring, and conservation. The ana…
Research Article
Open Access Dört Pervaneli İnsansız Hava Araçlarında PID Kazanç Optimizasyonu
Hakan Yılandil, Yılandil H, Mehmet İşcan, İşcan M
6th International Symposium on Innovations in Scientific Areas 2024 https://doi.org/10.36287/setsci.18.1.00114
Bu makalede, dört pervaneli bir insansız hava aracı (DPİHA) için tasarlanan duruş ve yükseklik kontrolörlerinin parametrelerinin optimizasyonunu gerçekleştirilmiştir. PID kontrolörlerinin uygun parametrelerinin belirlemek için ZieglerNichols (ZN) Yöntemi, Parç…
Research Article
Open Access Multilingual Sentiment Analysis for Mobile Gaming: A Comparative Study of Machine Learning and Hybrid Deep Learning Approaches
Erol Kına, Kına E, Recep Özdağ, Özdağ R
International Trend of Tech Symposium 2024 https://doi.org/10.36287/setsci.21.1.001
The rapid expansion of the mobile gaming industry has underscored the need to understand user sentiment, with social media platforms like X (Twitter) providing key insights. This study applied sentiment analysis to English and Turkish tweets, utilizing the TEM…
Research Article
Open Access Comparison of PID and FLC type controller designed for ohmic heating system
Buket Dinç, Dinç B, Köksal Erentürk, Erentürk K
Proceeding of the Cognitive Models and Artificial Intelligence Conference 2024 https://doi.org/10.36287/setsci.17.1.0020
In this study, mathematical modeling of an ohmic heating system has been done, firstly. Then, two different control approaches, PID and fuzzy logic control, have been considered to control of mathematically modeled ohmic heating system. An optimal PID controll…
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 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 Intrusion detection system using Optimized Machine Learning Algorithms for cyberattacks in the Internet of Vehicles (IoV)
Mamadou Korka Diallo, Diallo M, Oğuzhan Karahan, Karahan O
Proceeding of the Cognitive Models and Artificial Intelligence Conference 2024 https://doi.org/10.36287/setsci.17.1.0013
The Internet of Vehicles (IoV) is a branch of the Internet of Things that deals with vehicle-to-vehicle communication and intelligent transport systems (ITS). But this connection is not without consequences, because the more a system exchanges information, the…
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 Hyperparameter Optimization of a Faster R-CNN Model For Fault Detection In Quality Control
Abdullah Yüksel, Yüksel A, Oğuzhan Karahan, Karahan O
International Trend of Tech Symposium 2024 https://doi.org/10.36287/setsci.21.5.023
Quality control in the industry is becoming increasingly important as a result of increasing market competition and the need for quality products. The increasing complexity of industrial processes and the increase in the amount of data available have promoted …
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…
Review
Open Access A Survey on The Use of Generative AI in Aviation
Niyazi Ahmet Metin, Metin N, Selin Sevcan Çakan, Çakan S, Ali Berkol, Berkol A
6th International Symposium on Innovations in Scientific Areas 2024 https://doi.org/10.36287/setsci.18.1.00106
The main goal of this research is to investigate the potential and current role of generative AI in improving and developing avionics systems, and aviation-related applications. Avionics, a vital part of aviation industry, consists of a set of equipment and el…
Research Article
Open Access Optimizing Accuracy and Efficiency in Ship Detection from Satellite Images through a Comparative Analysis of Object Detection Models
Nesli S. Azdavay, Azdavay N, Zofia G. Zajac, Zajac Z, Hakan M. Didis, Didis H, Ilayda Boz, Boz I
International Trend of Tech Symposium 2024 https://doi.org/10.36287/setsci.21.2.006
This study evaluates the performance of Faster R-CNN and YOLOv7 object detectors for dynamic ship detection in maritime applications. Both algorithms are tested under challenging conditions, including poor image quality due to cloud and dust obscuration, varyi…
Research Article
Open Access Investigation Into Architectural Design Processes With Daylight Point of View: Case of Museum Projects
Ayça Arslan, Arslan A
6th International Symposium on Innovation in Architecture, Planning and Design 2024 https://doi.org/10.36287/setsci.20.13.100
This paper examines daylight usage as a design tool in architectural projects, as an inspiration point, and as a natural concept creator during building design. Architectural design which is a complex process, includes some basic steps such as; analyses-synthe…
Research Article
Open Access Enhancing Urban Parking Management with SSD-Based Satellite Detection Systems
Ipek Neslihan Alpugan, Alpugan I, Behiye Sahin, Sahin B, Köksal Semercigil, Semercigil K
International Conference on Advances in Electrical-Electronics Engineering and Computer Science 2024 https://doi.org/10.36287/setsci.19.9.042
The rapid urbanization and exponential growth in vehicle numbers have significantly increased the demand for parking spaces in metropolitan areas, creating challenges for drivers and urban planners alike. Effective detection of available parking spaces is cruc…
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 Crop Yield Prediction Using Machine Learning Algorithms
G. Malini Devi, Devi G, Badhe Siri Vennela, Vennela B, Shreya Arukala, Arukala S, Sai Amogha Uppalapati, Uppalapati S, Kambalapally Anudeepthi, Anudeepthi K
Proceeding of the Cognitive Models and Artificial Intelligence Conference 2024 https://doi.org/10.36287/setsci.17.1.0040
The study will utilize machine learning algorithms such as Random Forest, Gradient Boosting, and Support Vector Regression (SVR) on data collected from the districts of Nalgonda, Yadadri Bhuvanagiri, and Suryapet over the past two years. The project seeks to m…
Research Article
Open Access Derin Öğrenme ve Görüntü Tanılama Yöntemleri ile İç Mekanlarda Yapı Elemanlarının Tespiti
Sefa Çakmak, Çakmak S, Ammar İbrahimgil, İbrahimgil A
6th International Symposium on Innovations in Scientific Areas 2024 https://doi.org/10.36287/setsci.18.1.0074
Mimari mirasın korunması ve geleceğe aktarılması, kültürlerin ve bu mirasın devamlılığı için büyük önem taşımaktadır. Bu yapıların korunması ve bakımlarının sağlanabilmesi, yapı elemanlarının detaylı analizlerinin ve envanterlerinin çıkarılması ile mümkündür. …
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 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…
Review
Open Access Advancements in Radar Performance through Generative AI: A Sector-Wide Survey
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.18.1.0095
This article presents a comprehensive survey on the integration of Generative Artificial Intelligence (AI) technologies in radar applications, with a focus on enhancing radar data processing and system capabilities. Generative AI techniques, particularly Gener…