221 results for “Lifelong Learning Programme”
Research Article
Open Access Investigation of Rammed Earth Research in the Context of Sustainable Building Materials with Performance Analysis
Yahya Melikoğlu, Melikoğlu Y, Fatma Şebnem Kuloğlu Yüksel, Kuloğlu Yüksel F, Sevilay Akalp, Akalp S
7th International Symposium on Innovation in Architecture, Planning and Design 2025 https://doi.org/10.36287/setsci.23.102.001
Throughout history, earth as one of the most basic building materials of architecture, has stood out as a culturally and environmentally sustainable resource thanks to its local availability, compatibility with natural cycles and renewability. Increasing envir…
Research Article
Open Access Knowledge, Innovations and Economy: What is New in European Union From the Lisbon Strategy to The Europe 2020?
Mehmed Ganic, Ganic M
2nd International Symposium on Innovative Approaches in Scientific Studies 2018
The purpose of this paper is to give a brief overview of the impact knowledge and innovation has
had throughout the last two decades on the economic changes between new and old EU members from the
Lisbon Strategy (2000-2010) to the Europe 2020 strategy. The …
Research Article
Open Access Halk Sağlığı Hemşirelerinin Lgbt Bireylerin Sağlıklı Yaşam Sürdürmelerindeki Rolü
Mehmet Korkmaz, Korkmaz M, İlknur Aydın Avcı, Aydın Avcı İ
2nd International Symposium on Innovative Approaches in Scientific Studies 2018
Lgbt bireylerin diğer bireylerden farklı olan bir sağlık gereksinimleri yoktur. Sağlık hizmetlerinden etkin şekilde
yararlanan LGBT bireyler olmasına rağmen birçoğu cinsel yönelimi ya da cinsiyet kimliği yüzünden yaşadığı stigma, sosyal
izolasyon, şiddet ve …
Research Article
Open Access Korunan Alanların İklim Değişimi Üzerine Etkisinin Belirlenmesi (Vezirsuyu Tabiat Parkı Örneği)
Cemile Çakır, Çakır C, Mehmet Mısır, Mısır M, Nuray Mısır, Mısır N
2nd International Symposium on Innovative Approaches in Scientific Studies 2018
Dünya nüfusundaki hızlı artış ve endüstriyel faaliyetler ile insan aktiviteleri sonucunda doğal kaynaklar üzerindeki baskı
her geçen gün artmaktadır. İhtiyaçların karşılanması amacıyla doğadan düzensiz, aşırı ve ekolojik süreçleri dikkate almaksızın
faydalan…
Research Article
Open Access The Determination of Tuber Yield and Some Agronomic Characteristics of Potato Breeding Lines and Varieties Grown in Winter Season in Cukurova Region
Halis Arıoğlu, Arıoğlu H, Halil Bakal, Bakal H, Bihter Onat, Onat B, Leyla Güllüoğlu, Güllüoğlu L, Mehmet Emin Çalışkan, Çalışkan M
2nd International Symposium on Innovative Approaches in Scientific Studies 2018
This study was conducted at the Cukurova University research farm in winter season between January and June in
Cukurova Region (Adana-Turkey) in 2018. The objective of this study was to determinate the tuber yield and some agronomic
characteristics of potato…
Research Article
Open Access Determination on The Number of Roots in Pure Oriental Beech (Fagus orientalis Lipsky.) Forests in Karabük-Yenice District of Turkey
Hali Barış Özel, Özel H, Nebi Bilir, Bilir N
International Symposium on Multidisciplinary Studies and Innovative Technologies 2017
This study was carried out in the pure oriental beech forests of Yenice-Kızılkay in the Western Black Sea Region of Turkey, where the changes in the number of side roots and the changes in the height and diameter of the beech trees were examined in three diffe…
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 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 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 İleri Beslemeli Yapay Sinir Ağları için Donanım Uygulamasına Yatkın Çevrimiçi ELM Tabanlı Eğitim Algoritması
Önder Polat, Polat Ö, Sema Koç Kayhan, Koç Kayhan S
Cognitive Models and Artificial Intelligence Conference 2023 https://doi.org/10.36287/setsci.6.1.013
Bu bildiride, ileri beslemeli tek gizli katmanlı yapay sinir ağları için donanım uygulamasına uyumlu olan ve seyrek düzenlileştirilmiş bir aşırı öğrenme makinası (ELM) algoritması sunulmaktadır. Önerilen algoritma, düzenlileştirme için genelleştirilmiş minimak…
Research Article
Open Access Vocabulary learning and teaching beliefs of preservice EFL teachers in Turkey
Arif Sarıçoban, Sarıçoban A, Özkan Kırmızı, Kırmızı Ö
2nd International Symposium on Innovative Approaches in Scientific Studies 2018
Based on the crucial role of vocabulary in language education, the present study set out to examine preservice EFL teachers views on learning and teaching vocabulary. The main aim in so doing is to enhance teacher
education programs in terms of more effective…
Research Article
Open Access Cognitive approach to Memristor which is able to associative learning
Hakkı Halil Babacan, Babacan H, Yunus Babacan, Babacan Y
Ist International Symposium on Innovative Approaches in Scientific Studies 2018
We are at a time when electronic systems are structured in a manner similar to the human brain.The memristor, a neuromorphic circuit designed by Chua in 1971, is a modeling of synaptic learning and associative learning. Neuromorphic circuit elements and memris…
Review
Open Access Comparative Review of Machine Learning Methods in Revenue Forecasting
Ali Taghiyev, Taghiyev A, Özkan İnik, İnik Ö
International Symposium on AI-Driven Engineering Systems 2025 https://doi.org/10.36287/setsci.22.54.001
In this study, a classification problem is discussed to predict whether individuals' annual income levels are above $50,000. The UCI Adult Income Dataset, which is derived from the 1994 US Census (Census) data and is widely used in the field of machine learnin…
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 Analysis of Highway Traffic Using Deep Learning Techniques / Derin Öğrenme Teknikleri Kullanılarak Anayol Trafik Analizi
Muhammet Esad Özdağ, Özdağ M, Nesrin Aydın Atasoy, Aydın Atasoy N
4th International Symposium on Innovative Approaches in Engineering and Natural Sciences 2019 https://doi.org/10.36287/setsci.4.6.098
Traffic flow forecasting has an important place in designing a successful intelligent transportation system. The success of the forecasting is related to the accuracy and timely acquisition of the traffic flow data. The inadequacy in the number of data has led…
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 Students’ Ideas about Anatomy 4D Program in Inquiry Based Learning Classroom
Aslı Yerlikaya, Yerlikaya A, M. Handan Güneş, Güneş M
2nd International Symposium on Innovative Approaches in Scientific Studies 2018
Inquiry-based learning is important for students to understand scientific knowledge and the working systems of
scientists to develop their knowledge. For this, students should have some skills, and if they do not have, these skills need to be
gained. Some of…
Research Article
Open Access Language Learning Strategy Preferences of 1st Year Students of Uzunköprü Vocational College
Aybüke Arık, Arık A
Ist International Symposium on Innovative Approaches in Scientific Studies 2018
What makes a learner “a good learner” and how we can use this to improve the learning of the other learners have long been discussed and studied. Studies conducted throughout years have shown that “Language Learning Strategies” affect the learners in many ways…
Research Article
Open Access The Effect of the Visualization Type of Data Received from the X Platform on Manipulation Detection with Deep Learning
Hafzullah İş, İş H
Cognitive Models and Artificial Intelligence Conference 2023 https://doi.org/10.36287/setsci.6.1.031
Deep learning can provide successful results in detecting manipulations made with bot accounts on the X (Twitter) platform and preventing disinformation. As a method for applying deep learning algorithms, numerical values in the data set can be visualized and …
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…