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35 results for “Learning Experience”

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 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 Layered Architectural Readings of Sandi Simon Center for Dance
Bilgesu Sever, Sever B
6th International Symposium on Innovation in Architecture, Planning and Design 2024 https://doi.org/10.36287/setsci.20.1.001

The act of engaging in architectural 'reading' entails the discernment of constructed realities within the context of the built environment. The newly introduced dance studio, Sandi Simon Center for Dance, has chosen to be read in architectural dimensions to r…

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 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 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 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 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 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 Bilim Kurgu Filmlerinde Doğal Kullanıcı Arayüzü: Azınlık Raporu Örneği
Ayşe Nur Bayraktar, Bayraktar A, Dilek Akbulut, Akbulut D
6th International Symposium on Innovations in Scientific Areas 2024 https://doi.org/10.36287/setsci.18.1.0045

Bilim kurgu filmleri gelecek senaryolarının yansıması olmuştur. Bilim kurgu filmleri, filmlerdeki geleceğin yansıması olan ürün tahminlerinin ve yenilikçi arayüzlerin, işledikleri insan etkileşimleri ve akıllı teknolojiler ile gelecek manifestosuna hizmet etme…

Research Article Open Access Spatial Transformation from Traditional Buildings to The Future in Student Dormitory Buildings
Büşranur Mercan, Mercan B, Hasan Begeç, Begeç H, Rengin Zengel, Zengel R
6th International Symposium on Innovations in Scientific Areas 2024 https://doi.org/10.36287/setsci.18.1.0029

Space is a phenomenon that includes the elements required by the relationships a person establishes with his environment, covers boundaries and can have a character. Every society change within its internal and external framework. Students need help to complet…

Research Article Open Access Synthesis of Drug Microparticle with Hydrophilic Carrier and Its Characterization
Emine Ozen, Ozen E, Kader Poturcu, Poturcu K, Tayebeh Hashemi, Hashemi T, Melike Sozeri, Sozeri M, Serhat Yigit, Yigit S, Sevgi Demiroz, Demiroz S
6th International Symposium on Innovations in Scientific Areas 2024 https://doi.org/10.36287/setsci.18.1.00132

In the present study, a model drug, with its low permeable and low aqueous soluble properties, was selected to produce microparticles using an anti-solvent precipitation technique with two different drugs: polymer (0.5, 1.0, w/v %) ratios. The characterization…

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 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 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…

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 Earthquake Prediction Methodology Based On Neural Network Model
Azra Dilek Erhan, Erhan A, Ikhwan Kim, Kim I
6th International Symposium on Innovations in Scientific Areas 2024 https://doi.org/10.36287/setsci.18.1.00125

Forecasting earthquakes is challenging due to the difficulty in detecting underground phenomena. However, statistically, 30% of large earthquake foreshocks occur before the main shock, which indicates that, theoretically, it is possible to forecast them. Howev…

Review Open Access AI-Driven Approaches to Enhance Energy Efficiency in Heritage Architecture: A Review
Ali Berkay Avci, Avci A
6th International Symposium on Innovation in Architecture, Planning and Design 2024 https://doi.org/10.36287/setsci.20.5.037

This review explores the role of artificial intelligence (AI) in enhancing energy efficiency within heritage buildings, focusing on balancing sustainability goals with the preservation of historical and architectural integrity. AI technologies such as Building…

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