AIMC Topic: Turkey

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Fuzzy logic as a novel approach to predict biological condition gradient of various streams in Ceyhan River Basin (Turkey).

The Science of the total environment Jan 12, 2024
Creating a method to categorize the ecological status of streams according to their biological conditions and establishing scientifically defensible nutrient criteria to protect their biotic integrity poses significant challenges. Biomonitoring of le...
Environmental Monitoring Turkey Rivers Diatoms Fuzzy Logic Seasons
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Qualitative and Artificial Intelligence-based Sentiment Analyses of Anti-LGBTI+ Hate Speech on Twitter in Turkey.

Issues in mental health nursing Jan 20, 2023
The aim of this study was to evaluate hate speech in Turkish LGBTI+-related tweets during a one-month period of artificial intelligence-based sentiment analyses. Turkish tweets related to LGBTI+, were retrieved using Python library Tweepy and were ev...
Sentiment Analysis Turkey Hate Humans Speech Artificial Intelligence Social Media
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A hybrid Bayesian BWM and Pythagorean fuzzy WASPAS-based decision-making framework for parcel locker location selection problem.

Environmental science and pollution research international Nov 14, 2022
One of the main causes of the significant commercial vehicle traffic in the city region is last-mile deliveries. Parcel lockers, which are one of the easiest and most environmentally friendly solutions for last-mile delivery, are one of the most stud...
Humans Decision Making Bayes Theorem Turkey Cities Fuzzy Logic
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Modeling monthly reference evapotranspiration process in Turkey: application of machine learning methods.

Environmental monitoring and assessment Nov 3, 2022
In this study, the predictive power of three different machine learning (ML)-based approaches, namely, multi-gene genetic programming (MGGP), M5 model trees (M5Tree), and K-nearest neighbor algorithm (KNN), for long-term monthly reference evapotransp...
Environmental Monitoring Meteorology Turkey Machine Learning Wind
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COVID-19 safe campus evaluation for universities by a hybrid interval type-2 fuzzy decision-making model.

Environmental science and pollution research international Sep 2, 2022
The fight against the COVID-19 pandemic, which has affected the whole world in recent years and has had devastating effects on all segments of society, has been one of the most important priorities. The Turkish Standards Institution has determined a ...
Turkey Decision Making Bayes Theorem Pandemics COVID-19 Universities Fuzzy Logic Humans
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Attention-guided deep learning for gestational age prediction using fetal brain MRI.

Scientific reports Jan 26, 2022
Magnetic resonance imaging offers unrivaled visualization of the fetal brain, forming the basis for establishing age-specific morphologic milestones. However, gauging age-appropriate neural development remains a difficult task due to the constantly c...
Pregnancy Trimesters Humans Fetus Brain Gestational Age Pregnancy Magnetic Resonance Imaging Image Processing, Computer-Assisted Turkey United States Female Datasets as Topic Deep Learning Artifacts Neuroimaging
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Applicability of recurrent neural networks to retrieve missing runoff records: challenges and opportunities in Turkey.

Environmental monitoring and assessment Dec 17, 2021
Acquiring river flow records is the primary precondition for providing optimal water resource management practices and preserving the ecohydrological balance. In Turkey, some river gauging stations go intermittently out of service due to some technic...
Turkey Neural Networks, Computer Environmental Monitoring
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Prediction of soil-bearing capacity on forest roads by statistical approaches.

Environmental monitoring and assessment Jul 28, 2021
The soil-bearing capacity is one of the important criteria in dimensioning the superstructure. In Turkey, predictability of California Bearing Ratio values, which may be used in the planning and dimensioning of forest roads, of which about 26% lacks ...
Soil Forests Environmental Monitoring Turkey Fuzzy Logic
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Artificial intelligence system for automatic deciduous tooth detection and numbering in panoramic radiographs.

Dento maxillo facial radiology Mar 4, 2021
OBJECTIVE: This study evaluated the use of a deep-learning approach for automated detection and numbering of deciduous teeth in children as depicted on panoramic radiographs.
Radiography, Panoramic Turkey Algorithms Child Humans Artificial Intelligence Tooth, Deciduous Tooth
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An artificial intelligence proposal to automatic teeth detection and numbering in dental bite-wing radiographs.

Acta odontologica Scandinavica Nov 11, 2020
OBJECTIVES: Radiological examination has an important place in dental practice, and it is frequently used in intraoral imaging. The correct numbering of teeth on radiographs is a routine practice that takes time for the dentist. This study aimed to p...
Tooth Dental Occlusion Artificial Intelligence Humans Turkey Neural Networks, Computer
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