İsmail Kırbaş

Differential Diagnosis of Tuberculosis and Pneumonia in Cattle Lung Images Using Transfer Learning and YOLOv8: A Deep Learning Solution

A. Çelik, İsmail Kırbaş, Özlem Özmen, Adem Milletsever

Bovine tuberculosis (bTB) is a zoonotic, infectious, and chronic disease associated with significant economic losses, persisting as an endemic concern in various regions globally. Histopathological examinations are a crucial diagnostic method, particularly with the identification of Langhans giant cells, which serve as …

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AI-based automated weight prediction in cattle for herd health surveillance

İsmail Kırbaş

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Artificial intelligence-enhanced walk-over-weighing system for real-time livestock weight monitoring: A novel approach for precision farming

İsmail Kırbaş

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Leveraging SHAP for Interpretable Diabetes Prediction: A Study of Machine Learning Models on the Pima Indians Diabetes Dataset

İsmail Kırbaş, Ahmet Çifçi

This paper investigates the application of machine learning (ML) models for predicting diabetes using the Pima Indians Diabetes Database, with a focus on enhancing model interpretability through the use of SHapley Additive exPlanations (SHAP). The study evaluates eight ML models, including Adaptive …

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Leveraging Lime for Trustworthy Apple Quality Assessment

İsmail Kırbaş, Ahmet Çifçi

This study explores the integration of machine learning (ML) models and explainable artificial ıntelligence (XAI) techniques to enhance the accuracy and transparency of apple quality assessment. Leveraging the Apple Quality dataset from Kaggle, we evaluated the performance of random forest (RF), logistic …

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List of contributors

Román Rodríguez-Aguilar, Valentina Emilia Bălaş, Pratyusha Bandaru, Tahsin Baykal et autres

Computational analysis of recurrent neural network models for precipitation forecasting: a case study in Burdur, Türkiye

Ahmet Çifçi, İsmail Kırbaş, Osman Tayfun Bişkin

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Evaluating computational time series methods for monthly rainfall forecasting in the wettest region of Türkiye: a case study of Rize province

İsmail Kırbaş, Osman Tayfun Bişkin, Ahmet Çifçi

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A Fast and Time-Efficient Glitch Classification Method: A Deep Learning-Based Visual Feature Extractor for Machine Learning Algorithms

Osman Tayfun Bişkin, İsmail Kırbaş, A. Çelik

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Fusion of machine learning and explainable AI for enhanced rice classification: a case study on Cammeo and Osmancik species

Ahmet Çifçi, İsmail Kırbaş

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Review of: "A VAR Framework of Exchange Rates, Interest Rates, and Inflation Through COVID-19 in Turkey: Empirical Evidence From Linear Cointegration and Causality Analysis"

İsmail Kırbaş

Potential competing interests: No potential competing interests to declare.This paper, "A VAR Framework of Exchange Rates, Interest Rates, and Inflation Through COVID-19 in Turkey: Empirical Evidence From Linear Cointegration and Causality Analysis," is an insightful investigation into the interplay between key economic …

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Retraction Note: Signal detection based on empirical mode decomposition and Teager–Kaiser energy operator and its application to P and S wave arrival time detection in seismic signal analysis

İsmail Kırbaş, Musa Peker

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