Results 101 to 110 of about 6,818 (137)

Classification of the Condition of Cancer Patients Receiving Home Health Care with Machine Learning Methods

Düzce Üniversitesi Bilim ve Teknoloji Dergisi
Determining the health status of cancer patients is of vital importance in the cancer treatment process. This process plays a critical role in assessing patients' quality of life and supporting the treatment process.
Mürsel Kahveci
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Integration of Sensor and Biometric Data in Shooting Training: An Efficient and Goal-Oriented Approach through an Intelligent Decision Support System

Düzce Üniversitesi Bilim ve Teknoloji Dergisi
Shooting training presents significant challenges in terms of efficiency due to high costs, time constraints, and the limitations of manual assessment processes.
Enver Küçükkülahlı
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Evaluation of Machine Learning and Ensemble Learning Models for Classification Using Delivery Data

Verimlilik Dergisi
Purpose: This study aims to evaluate the performance of various machine learning and ensemble learning models in classifying delivery times using Amazon delivery data.
İrem Karakaya
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A Review on The Use of Artificial Intelligence and Machine Learning Technologies in The Logistics Sector

Trends in Business and Economics
In recent years, developments in Artificial Intelligence (AI) and MachineLearning (ML) technologies have had profound effects on all sectors. The logistics industry has also become a sector where these technologies are being used to a significant extent.
Deniz Yalçıntaş, Suzan Oğuz
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Sigortacılık Sektöründeki Yapay Zekâ ve Makine Öğrenmesi Uygulamaları [PDF]

Yüksek Lisans Bitirme ProjesiBu çalışma, sigortacılık sektöründe yapay zekâ (AI) ve makine öğrenmesi (ML) uygulamalarının etkilerini ve potansiyel kullanım alanlarını kapsamlı bir şekilde incelemektedir.
Servet Sayın
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Key Frame Extraction with Attention Based Deep Neural Networks

, 2023
Automatic keyframe detection from videos is an exercise in selecting scenes that can best summarize the content for long videos. Providing a summary of the video is an important task to facilitate quick browsing and content summarization.
Arslan, Samed, Tanberk, Senem
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A Cloud Based Web-Tool to Predict the High School Entrance Exam Scores of the Students

Düzce Üniversitesi Bilim ve Teknoloji Dergisi
Multivariate adaptive regression splines (MARS) model, one of the non-parametric regression methods, is used to predict the achievement scores of the 8th-grade students before the LGS (High School Entrance System) exam with the developed web-tool.
Ekrem Gülcüoğlu, Gokcen Altun
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Analysis of Design-Build Contracts Utilising Machine Learning on the Axis of Time, Cost and Quality

Düzce Üniversitesi Bilim ve Teknoloji Dergisi
In construction projects, contract management processes necessitate achieving a delicate equilibrium among time, cost, and quality. This work aims to analyse Design-Build standard construction contract texts by the application of machine learning (ML ...
Latif Onur Uğur, Anıl Demircan
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Makine Öğrenmesi Algoritmalarını Kullanarak Kredi Kartı Dolandırıcılığının Tespiti [PDF]

Dünya ekonomisinin hızla büyümesi ve finans sektörünün bu büyüme trendine ayak uydurması, yeni güvenlik sorunlarını beraberinde getirmiştir. Finansal işlem hacminin artmasıyla birlikte dijital işlemlerin yaygınlaşması, dolandırıcılar için çekici bir alan
ALİ ASLAN
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Estimation of household poverty level via machine learning and artificial neural networks: The case of Türkiye [PDF]

Yüksek Lisans TeziHanehalkı yoksulluk düzeyinin tahmini, bir ülkenin sosyo-ekonomik durumunu anlamaya yardımcı olmaktadır. Bu tahminler, ülkedeki yoksulluğun ne kadar yaygın olduğunu ve hangi bölgelerde daha fazla olduğunu gösterir.
Abacı, Beyzanur
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