Skip to content
Home / Search

Search

Open access: yes × Clear filters

87 results for “Random Forest”

Research Article Open Access Best Practices and Policies Regarding Forestry in Response to Climate Change
Nuray Mısır, Mısır N, Mehmet Mısır, Mısır M, Cemile Çakır, Çakır C
2nd International Symposium on Innovative Approaches in Scientific Studies 2018

Forest functions traditionally included wood production, protection and forest recreation. The twofold role of forests as both sources and sinks of greenhouse gases makes their influence on the climate extremely significant. This fact has led to climate chan…

Research Article Open Access EVALUATION OF AVAILABLE FOREST ROADS: A CASE STUDY
Erhan Çalışkan, Çalışkan E
2nd International Symposium on Innovative Approaches in Scientific Studies 2018

Because of the wide, scattered and large part of the forest areas being located far away from the settlement areas, transportation can only be realized through forest roads and the importance of transportation of forest roads has been emphasized. The grading…

Research Article Open Access The Random Forest with Hybrid Principal Component Analysis for detecting Healthy and Insomnia individuals in three subtypes of Cyclic Alternating Pattern Sleep Study
Nadhim Azeez Sayel, Sayel N, Mohammad Fayaz, Fayaz M
Proceeding of the Cognitive Models and Artificial Intelligence Conference 2024 https://doi.org/10.36287/setsci.17.1.001

Sleep disorders such as insomnia, sleep bruxism, narcolepsy, and sleep-disordered breathing have different sleep quality parameters such as cyclic alternating pattern phases and A subtype phases. This study aims to analyze and predict the A phase subtypes from…

Research Article Open Access Web Based AIS31 Test Software For Random Number Generators
Erdinç Avaroğlu, Avaroğlu E, Recai Sinekli, Sinekli R, Veli Yıldız, Yıldız V, Hakan Gülcan, Gülcan H
International Symposium on Multidisciplinary Studies and Innovative Technologies 2017

Several test suites have been developed to test the statistical properties of random numbers generated from pseudotrue random number generators. Some of these are Crypt-X, Diehard, FIPS 140, NIST 800-22 AIS31 test suites. In this study, web based application o…

Research Article Open Access The Effects of Forest Roads On Sediment Transport
Erhan Çalışkan, Çalışkan E
4th International Symposium on Innovative Approaches in Engineering and Natural Sciences 2019 https://doi.org/10.36287/setsci.4.6.025

Sediment can be composed of all road elements. On soil roads, road surface erosion is generally the predominant source of sediment. The multifaceted impact of forest road construction on the environment is always a serious issue in terms of watershed managemen…

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 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 Pavement Project of Forest Roads Using Fuzzy Logic
Erhan Çalışkan, Çalışkan E
4th International Symposium on Innovative Approaches in Engineering and Natural Sciences 2019 https://doi.org/10.36287/setsci.4.6.024

Turkey is not possible in the existing forest roads with very little of the superstructure and the remaining majority uncoated and transport of wood raw material in an expeditious manner in all seasons due to the unfounded nature of the soil in the road. For t…

Research Article Open Access OCCUPATIONAL HEALTH IN FOREST WORKER: A CASE STUDY
Erhan Çalışkan, Çalışkan E
2nd International Symposium on Innovative Approaches in Scientific Studies 2018

Forest workers generally work under severe conditions. Wood work; far from social spaces, weather conditions and rugged terrain. There is also no room for errors that are connected to a plan. Accident risk is high in forest workers. Accident risk must be hig…

Research Article Open Access Kalp Hastalığı Risk Tahmini için Makine Öğrenmesi Tabanlı Mobil Uygulama
Bartu Başaran, Başaran B, Ali Akdağ, Akdağ A
International Symposium on AI-Driven Engineering Systems 2025 https://doi.org/10.36287/setsci.22.48.001

Sunulan çalışmada, kalp hastalığı riskinin erken ve güvenilir biçimde tahmin edilmesini sağlayan makine öğrenmesi tabanlı bir mobil uygulama geliştirilmiştir. Dokuz farklı algoritma değerlendirilmiş, en yüksek doğruluğa (%86,81) sahip olan k-NN modeline rağmen…

Research Article Open Access Assesment of Forest Fires in Turkey in the Context of National Forestry Program
Sevim İnanç, İnanç S, İnci Zeynep Aydın, Aydın İ
4th International Symposium on Innovative Approaches in Engineering and Natural Sciences 2019 https://doi.org/10.36287/setsci.4.6.157

Due to the increasing population, overconsumption, urbanization, and industrialization, our forests which are one of the most important natural resources to increasing population, overconsumption, urbanization and industrialization, our forests which are one o…

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…

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 Madencilik Faaliyetlerinde İnsansız Hava Araçlarının (İHA) Kullanımı
Bilgehan Kekeç, Kekeç B, Niyazi Bilim, Bilim N, Sertaç Dündar, Dündar S, Dhikra Ghiloufi, Ghiloufi D
2nd International Symposium on Innovative Approaches in Scientific Studies 2018

Teknoloji günümüzde her alanda kullanılmaktadır. İnsansız Hava Araçlarının da çeşitli sektörlerde (İHA) kullanımı gün geçtikçe artmaktadır. İlk zamanlarda askeri amaçlar için kullanılan İHA teknolojisi, günümüzde jeodezi, tarım, meteroloji, iletişim, acil du…

Research Article Open Access CNN Hyperparameters Optimization Using Random Search For Image Classification
Dala KRAYEM, KRAYEM D, Asmaallah FALLAHA, FALLAHA A, Mohamad Taj Eddin ASHOUR, ASHOUR M, Saed ALQARALEH, ALQARALEH S
Proceedings of the 6th International Symposium on Innovative Approaches in Smart Technologies 2022 https://doi.org/10.36287/setsci.5.2.007

In the last decade, deep learning in general and Convolutional Neural Networks (CNN) have achieved a human level and outstanding performance in almost all computer-based systems such as classification(text, images, and videos). Building an efficient CNN archit…

Research Article Open Access Improving Hyperspectral Image Classification with Watershed Segmentation-Based Texture Features
Çiğdem Şerifoğlu Yılmaz, Şerifoğlu Yılmaz Ç, Volkan Yılmaz, Yılmaz V, Oğuz Güngör, Güngör O
2nd International Symposium on Innovative Approaches in Scientific Studies 2018

Hyperspectral images offer a good separability among land cover classes, owing to their advantages to provide spectral bands with narrow wavelength intervals. It is also possible to further increase classification accuracy of hyperspectral images by integrat…

Research Article Open Access Odun Kökenli Levhalar ve Kullanım Alanları
Selahattin Bardak, Bardak S, Timuçin Bardak, Bardak T
2nd International Symposium on Innovative Approaches in Scientific Studies 2018

Günümüzde dünya nüfusunun hızla artması ve orman kaynaklarının azalması sonucu doğal ahşap malzeme kullanımı oldukça azalmıştır. Ayrıca masif malzeme kullanımını ekonomik nedenlerde sınırlandırmaktadır. Doğal ahşap malzemelerin yerine çeşitli odun kökenli le…

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 Yurtta Barınan Öğrencilerin Ayrılma Sebeplerinin Veri Madenciliği Yöntemleriyle Analiz Edilmesi
Berrin Değirmenci, Değirmenci B, Oktay Yıldız, Yıldız O
Cognitive Models and Artificial Intelligence Conference 2023 https://doi.org/10.36287/setsci.6.1.027

Ülkemizde Üniversite öğrencilerinin büyük bir bölümü öğrenim hayatlarının bir döneminde devlet yurtlarında kalmaktadır. Bu çalışmanın amacı, Kredi ve Yurtlar Genel Müdürlüğü (KYGM)’nde barınan öğrencilerin; yurttan ayrılma sebeplerinin veri madenciliği yönteml…

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