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12 results for “Retrieval Augmentation”

Research Article Open Access FlexiGPT: Engaging with Documents
Abdalrhman Alquaary, Alquaary A, Numan Çelebi, Çelebi N
Cognitive Models and Artificial Intelligence Conference 2023 https://doi.org/10.36287/setsci.6.1.029

Leveraging the robust potential inherent in large language models, their profound and pervasive impact has transcended various domains in recent years, ushering in their widespread integration across diverse sectors. In resonance with this predominant trend, t…

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…

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…

Research Article Open Access Word Vector Space for Text Classification and Prediction According to Author
İlknur Dönmez, Dönmez İ, Elnaz Pashaei , Pashaei  E, Elham Pashaei 
International Congress on Human-Computer Interaction, Optimization and Robotic Applications 2019 https://doi.org/10.36287/setsci.4.5.021

Word embedings are intense vector representations of words. They capture the semantic order between words. In our study, we propose a new method for classifying text by author, using word embeds and author vector space. Using each author's books, we trained th…

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 Advanced Maritime Vessel Detection in Satellite Imagery Using Masati-V2
Keerthi Reddy Gudibandi, Gudibandi K, Sreeram Venkata Sai Suchitha, Suchitha S, Chamarthi Sreenivasulu, Sreenivasulu C, Koduru Hajarathaiah, Hajarathaiah K
International Symposium on AI-Driven Engineering Systems 2025 https://doi.org/10.36287/setsci.22.15.001

Maritime vessel detection in satellite images address real time issues such as maritime security, illegal fishing and environmental monitoring, which require efficient tracking of vessels in large scale. Maritime vessel detection is challenged by limited annot…

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…

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 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 Brain Tumor Classification Using Fine-Tuned Transfer Learning
Mustafa Suban Dut, Dut M, Meriç Çetin, Çetin M
International Symposium on AI-Driven Engineering Systems 2025 https://doi.org/10.36287/setsci.22.10.001

Brain tumor is a progressive disease that significantly affects human life. These diseases can reduce the quality of life by causing losses in motor and cognitive functions. Since the chance of treatment decreases when not diagnosed early, advanced technologie…

Research Article Open Access Comparative Analysis of cVAE, cGAN, and LSTM Models for Music Generation Based on Weather Conditions
Nedim Karavdić, Karavdić N, Bećir Isaković , Isaković  B
International Symposium on AI-Driven Engineering Systems 2025 https://doi.org/10.36287/setsci.22.11.001

Generative Artificial Intelligence is gaining popularity every day and uses contextual data to personalize and enhance user experiences. This paper explores music generation that is conditioned on weather. It influences musical compositions by connecting MIDI …

Research Article Open Access Kronik Böbrek Hastalığının Makine Öğrenmesi Teknikleri ile Sınıflandırılması
Mustafa İlker  ERDURSUN  , ERDURSUN   M, Hasan  ERBAY  , ERBAY   H, Ömer Faruk  AKMEŞE  , AKMEŞE   Ö, İbrahim  DOĞAN  , DOĞAN   İ
3rd International Symposium on Innovative Approaches in Scientific Studies (Engineering and Natural Sciences) 2019

Teknolojinin ilerlemesi ile birlikte birçok veri dijital ortamlarda kayıt altına alınarak büyük veri yığınları ortaya çıkmıştır. Veri madenciliği sayesinde bu büyük veri yığınlarının içinden anlamlı ve yararlı bilgilerin ortaya çıkarılması için çalışmalar yapı…

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