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338 results for “Regression Model”

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 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 Assessment of Outdoor Thermal Comfort in Different Courtyard Types: A Case Study of Konya, Turkey
Hande Büşra Geyikli, Geyikli H, Fatih Canan, Canan F
7th International Symposium on Innovation in Architecture, Planning and Design 2025 https://doi.org/10.36287/setsci.23.14.001

Courtyards hold significant functional value in both traditional and contemporary architecture. They serve as open-air spaces that facilitate social interaction for users within urban environments. In order for these spaces to be utilized more efficiently by u…

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 Meme Histopatoloji Görüntülerinin Derin Öğrenme Yöntemleri İle Sınıflandırılması
Meral Karakurt, Karakurt M, İsmail İşeri, İşeri İ
International Congress on Human-Computer Interaction, Optimization and Robotic Applications 2019 https://doi.org/10.36287/setsci.4.5.019

Kanser, insan ölümlerine sebep olan hastalıklar arasında ikinci sırada gelmektedir. Günümüzde insanların kansere yakalanma oranları giderek artmaktadır. Kanser; kötü beslenme, sigara ve alkol kullanımı, uzun süre güneş ışığına maruz kalma gibi birçok nedenle o…

Research Article Open Access An Efficient Medical Diagnosis Algorithm Based on a Hybrid Neural Network with a Variable Adaptive Momentum and PSO Algorithm
Alaa Ali  Hameed, Hameed A, Naim Ajlouni, Ajlouni N, Adem Özyavaş, Özyavaş A, Zeynep Orman, Orman Z, Ali  Güneş, Güneş A
International Congress on Human-Computer Interaction, Optimization and Robotic Applications 2019 https://doi.org/10.36287/setsci.4.5.030

Neural Network has been used in a number of scientific fields including medical diagnosis. It is clear that classification is one of the main challenges in any medical diagnosis. However, the drawbacks of conventional neural network classifier are summarized a…

Research Article Open Access Frontal human face detection using skin detection,face matching and haarcascade
Boshra Alsheikh  Wais  , Wais   B, Hasan  Erbay  , Erbay   H
3rd International Symposium on Innovative Approaches in Scientific Studies (Engineering and Natural Sciences) 2019

Human face detection one of the most important fields that attract searches since a long time ago until now because of the huge number of applications that benefit from face detection and recognition like crowd surveillance, Attendance System, ATM and other. I…

Research Article Open Access LATTICE STRUCTURE OPTIMIZATION for ADDITIVE MANUFACTURING
Büşra Aslan, Aslan B, Ali Rıza Yıldız, Yıldız A
2nd International Symposium on Innovative Approaches in Scientific Studies 2018

One of the major problems encountered designers working in the developing industry is how product can get better designs in the first stages. There are many structural optimization methods for weight reduction operations. One of them is the lattice structura…

Research Article Open Access Determination of Dimensions in Wooden Reel Production: A Decision Support Model
Erkan Sami Kökten, Kökten E, Çağrı Sel, Sel Ç
Ist International Symposium on Innovative Approaches in Scientific Studies 2018

Wooden reels are wood-based products used in products requiring winding up such as cable, rope, plastic hose. Wooden reels are usually produced in diameters ranging from 40 to 320 cm and mostly from Turkish red pine (Pinus brutia) and black pine (Pinus nigra) …

Research Article Open Access The Determination of Seismogenic Features of Faults by Using Geophysical and Geodetic Imaging Method for Forecast Earthquakes: North Anatolian Fault Zone Example
Şakir Şahin, Şahin Ş, Guoyan  Jiang , Jiang  G
Ist International Symposium on Innovative Approaches in Scientific Studies 2018

Size of damage caused by an earthquake depends on the amount of energy released by the current stress accumulation of the active faults and the change over time. Stress accumulation on a fault occurs in two types. These are 1) the long-term tectonic movements …

Research Article Open Access A modified two-dimensional (2D) risk model for occupational health and safety (OHS) risk assessment in mining environments
M. Fatih Ak, Ak M, Muhammed Gül, Gül M
Ist International Symposium on Innovative Approaches in Scientific Studies 2018

Mining environments have faced with serious fatalities related to works, workplaces and workers as a consequence of their accident-prone processes. Underground mining stands in the first place in terms of being a hazardous industry worldwide. Due to risks invo…

Research Article Open Access Signal Collision in Open Finance: An Auditable Common-Trade Penalty for Learned Portfolios
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.25.4.001

Open-finance platforms can combine models from different vendors while still concentrating capital in the same trade. Shared data, objectives, and representations make decision diversity the relevant object, rather than diversity of model names. We call loadin…

Research Article Open Access Industry 4.0 Driven Risk Management for Climate Resilient Smart Cities A Hybrid Framework for Southeastern Türkiye
Mehmet Fatih Kendirci, Kendirci M, Aydın Oğuz, Oğuz A, Osman Hansu, Hansu O
7th International Symposium on Innovation in Architecture, Planning and Design 2025 https://doi.org/10.36287/setsci.23.116.001

This study presents a Hybrid Digital-Physical Risk Management Framework designed to enhance urban climate resilience through the integration of Industry 4.0 technologies. By combining real-time IoT sensor networks, AI-based predictive analytics, and blockchain…

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 Study of FPGA – Based Spiking Neural Networks: Classification Implementation
Mehmet Sinan Çınaroğlu, Çınaroğlu M, Erol Seke, Seke E
International Symposium on AI-Driven Engineering Systems 2025 https://doi.org/10.36287/setsci.22.26.001

With the help of ability to imitate the biological nervous system, Spiking Neural Networks (SNNs) architectures have become popular recently. In order to benefit at the maximum level from the low power consumption, event-based structure and parallelization fea…

Research Article Open Access A Novel Deep Learning Model for Diabetes Diagnosis
Haniyeh FATTAHI, FATTAHI H, Yousef FARHANG, FARHANG Y
International Symposium on AI-Driven Engineering Systems 2025 https://doi.org/10.36287/setsci.22.1.001

Diabetes is a chronic disease affecting millions worldwide, necessitating early and accurate diagnosis for effective management. Traditional diagnostic methods, while reliable, often struggle with efficiency and early-stage detection. Deep learning has emerged…

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 Bir Yüzme Merkezi Desen Üreteci için Basit Bir Kontrolör Mekanizmasının Nümerik Analizi
Yavuz Cura, Cura Y, Nimet Korkmaz, Korkmaz N
International Symposium on AI-Driven Engineering Systems 2025 https://doi.org/10.36287/setsci.22.40.001

Bu çalışma, en ilkel omurgalı canlılardan biri olan taşemen balığının yüzme deseninin oluşturulması amacıyla, bir sinüzoidal osilatör ve birkaç birinci dereceden alçak geçiren filtre ile oluşturulan basit bir merkezi desen üreteci (Central Pattern Generator-CP…

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 El Yazısı Karakterlerin Tanınmasında Derin Sinir Ağlarının Etkinliği Kısıtlı ve Geniş Sınıf Yapılarının Performans Analizi
Erdin Fidan, Fidan E, Mahir Kaya, Kaya M
International Symposium on AI-Driven Engineering Systems 2025 https://doi.org/10.36287/setsci.22.65.001

Bu çalışmada, el yazısı karakterlerin tanınmasına yönelik derin öğrenme tabanlı bir model geliştirilmiştir. Model, farklı sayıda çıkış sınıfı (karakter) için test edilmiş; yalnızca 10 karakterin sınıflandırıldığı senaryoda %96 doğruluk oranı elde edilirken, sı…

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