A5087050752- Landslides and related hazards
- Advanced Text Analysis Techniques
- Sentiment Analysis and Opinion Mining
- Software Engineering Research
- Software Reliability and Analysis Research
- Topic Modeling
- Text and Document Classification Technologies
- Spam and Phishing Detection
- Flood Risk Assessment and Management
- Natural Language Processing Techniques
- Geotechnical Engineering and Analysis
- Software System Performance and Reliability
- Mineral Processing and Grinding
- Web Data Mining and Analysis
- Fuzzy Logic and Control Systems
- Drilling and Well Engineering
- Video Surveillance and Tracking Methods
- Rock Mechanics and Modeling
- Neural Networks and Applications
- Authorship Attribution and Profiling
- Tunneling and Rock Mechanics
- Imbalanced Data Classification Techniques
- Tree Root and Stability Studies
- Educational Methods and Analysis
- Fire effects on ecosystems
Hacettepe University
2015-2024
Scientific and Technological Research Council of Turkey
2016
Bilkent University
1991-2004
This paper presents the results of neuro-fuzzy model using remote-sensing data and geographic information system for landslide susceptibility analysis in a part Cameron Highlands areas Malaysia. Landslide locations study area were identified by interpreting aerial photographs satellite images, supported extensive field surveys. Landsat TM imagery was used to map vegetation index. Maps topography, lineaments, Normalized Difference Vegetation Index (NDVI), land cover constructed from spatial...
The main purpose of the present study is to investigate possible application decision tree in landslide susceptibility assessment. area having a surface 174.8 km 2 locates at northern coast Sea Marmara and western part Istanbul metropolitan area. When applying data mining extracting tree, geological formations, altitude, slope, plan curvature, profile heat load stream power index parameters are taken into consideration as conditioning factors. Using predicted values, map produced. AUC value...
SUMMARY Understanding rock material characterizations and solving relevant problems are quite difficult tasks because of their complex behavior, which sometimes cannot be identified without intelligent, numerical, analytical approaches. Because that, some prediction techniques, like artificial neural networks (ANN) nonlinear regression can utilized to solve those problems. The purpose this study is examine the effects cycling integer slake durability index test on intact behavior estimate...
Natural hazards have a great number of influencing factors. Machine-learning approaches been employed to understand the individual and joint relations these However, it is challenging process for machine learning algorithm learn large parameter space. In this circumstance, success model highly dependent on applied reduction procedure. As state-of-the-art neural network model, representative assumes full responsibility from feature extraction prediction. study, technique, recurrent (RNN), was...
Fluctuations and unpredictability in food demand generally cause problems economic point of view public courts. In this study, to overcome problem predict actual consumption for a specified menu selected date, three decision tree methods (CART, CHAID Microsoft Decision Trees) are utilized. A two year period dataset which is gathered from courts Hacettepe University Turkey used during the analyses. As result, prediction accuracies up 0.83 R2 achieved. By it's shown that methodology suitable...