Yayın 129 Araştırmacı

Filtreler

Bulunan: 129 Adet 0.002 sn

Koleksiyon : Mühendislik Fakültes ... ✕

Koleksiyon [3]

İlgili Araştırmacılar [36]

BM Sürdürülebilir Kalkınma [1]

Ambargo Durumu [3]

Tam Metin [2]

Veritabanları [4]

wosquality [4]

wosauthorid [33]

Yazar [36]

Tür [5]

Konu Başlıkları [51]

Yayın Yılı [4]

Yayıncı [51]

Dil [2]

Dergi [50]

Erişime Açık

Is There Any Advantage of Machine Learning to Multivariate Regression Analysis for Predicting Disease-Related Deaths in Patients with Gastric Cancer? Reevaluation of Retrospective Data

Umut Kaya

OBJECTIVE The problem in gastric cancer patients is multifactorial and it is not possible to use one factor alone to predict disease survival. Machine learning (ML) algorithms have become popular in the medical field, recently. We aimed to evaluate the power of ML algorithms for predicting deaths due to gastric cancer. METHODS We reevaluated the retrospective data published. Seven different ML algorithms (logistic regression [LR], artificial neural networks/multilayer perceptron, gradient boosted trees, support vector machine, random forest, naive Bayes, and probabilistic neural network) tried ...Daha fazlası

Makale 2021 Turk Onkoloji Dergisi-Turkish Journal Of Oncology36 ( 2 ) , pp. 1 - 190 86 Görüntülenme

Süresiz Ambargo

Irregular 64 PDM Controlled Wireless Power Transfer for Pecise Power Control

Güngör Bal

The power control techniques used in wireless charging systems can be divided into two classes: variable frequency and fixed frequency. In variable frequency power control, the efficiency of the charging system decreases when it is operated outside the zero-phase angle (ZPA). The efficiency of the wireless charging system increases when fixed frequency charging systems are operated even at ZPA frequency and under soft switching conditions. In this paper, an irregular 64-PDM controlled wireless charging system is proposed. The proposed 64-PDM controlled wireless charging system is implemented i ...Daha fazlası

Bildiri 2023 2023 12th International Conference On Renewable Energy Research And Applications, Icrera , pp. 3 - 352 9 Görüntülenme Süresiz Ambargo

Erişime Açık

A Brain MRI Segmentation Method Using Feature Weighting and a Combination of Efficient Visual Features

Taymaz Akan

Determining the area of brain tumors is an essential and fundamental step in automatic diagnosis and treatment systems. The authors present a method based on a combination of efficient visual features and fuzzy c-means clustering to detect brain tumors. For this purpose, first, the background area of the images is removed by the new thresholding method, then the useful and efficient features are extracted. The authors use this new feature space for clustering-based segmentation. The proposed clustering algorithm gives a different importance to the extracted features in the segmentation process ...Daha fazlası

Kitap Bölümü 2023 Applied Computer Vision and Soft Computing with Interpretable AI , pp. 1 - 34 6 Görüntülenme

Erişime Açık

NaProGraph: Network Analyzer for Interactions between Nucleic Acids and Proteins

Sajjad Nematzadeh Miandoab

Background Interactions of RNA and DNA with proteins are crucial for elucidating intracellular processes in living organisms, diagnosing disorders, designing aptamer drugs, and other applications. Therefore, investigating the relationships between these macromolecules is essential to life science research.Methods This study proposes an online network provider tool (NaProGraph) that offers an intuitive and user-friendly interface for studying interactions between nucleic acids (NA) and proteins. NaProGraph utilizes a comprehensive and curated dataset encompassing nearly all interacting macromol ...Daha fazlası

Makale 2024 CURR BIOINFORM19 ( 4 ) , pp. 3 - 397 18 Görüntülenme

Erişime Açık

Development of a Counterfeit Vehicle License Plate Detection System by Using Deep Learning

Burak Ağgül

In this study, a deep learning-based counterfeit plate detection system that compares and detects vehicles with the make, model, color, and license plate is designed. As known that the relevant government institutions are responsible for keeping all detailed information about all motor vehicles in their database. All registration details are stored in the database. It is possible to find unregistered vehicles by comparing database records with detected details. In general, vehicles with counterfeit license plates are used in illegal actions. Therefore, it is of great importance to detect them. ...Daha fazlası

Makale 2022 Balkan Journal of Electrical and Computer Engineering 34 Görüntülenme

Erişime Açık

Optimum Feature Selection with Particle Swarm Optimization to Face Recognition System Using Gabor Wavelet Transform and Deep Learning

Cevat Rahebi

In this study, Gabor wavelet transform on the strength of deep learning which is a new approach for the symmetry face database is presented. A proposed face recognition system was developed to be used for different purposes. We used Gabor wavelet transform for feature extraction of symmetry face training data, and then, we used the deep learning method for recognition. We implemented and evaluated the proposed method on ORL and YALE databases with MATLAB 2020a. Moreover, the same experiments were conducted applying particle swarm optimization (PSO) for the feature selection approach. The imple ...Daha fazlası

Makale 2021 Bıomed Research Internatıonal2021 512 Görüntülenme

Süresiz Ambargo

Automated Detection of Pulmonary Embolism Using CT and Perfusion Spectral Images

Gökalp Tulum | Onur Osman

This research endeavors to automate the detection of pulmonary embolism in lung perfusion scintigraphy images using image processing and artificial intelligence methods, aiming to assess embolism levels through localization and various statistical calculations. The study utilizes CT and perfusion images from 37 individuals, with 20 diagnosed with pulmonary embolism and 17 classified as normal. Employing a threshold of −150 HU (Hounsfield Unit) and morphological operations, including opening and closing with a 5-voxel disc-shaped structuring element, the lungs are segmented to remove air and bl ...Daha fazlası

_konferansbildirisi 2024 Springer Science and Business Media Deutschland GmbH 7 Görüntülenme Süresiz Ambargo

Süresiz Ambargo

An Approach for Backtesting and Algorithmic Trading with Liquidity and Hill Climbing Algorithm

Yelghi, Aref

This strategy focuses on backtesting and algorithmic trading by applying the hill climbing method to find liquid levels at support and resistance levels. The strategy entails evaluating price movements and setting the threshold value for trading at these key levels. By closely studying the market, the technique seeks to find optimal entry and exit points based on recognized support and resistance levels. This method allows for a systematic approach to trading decisions using the concepts of liquidity and market dynamics. Implementing this technique entails testing historical data to determine ...Daha fazlası

Kitap Bölümü 2024 Springer Science and Business Media Deutschland GmbH 2 Görüntülenme Süresiz Ambargo

Süresiz Ambargo

Hybrid algorithms based on combining reinforcement learning and metaheuristic methods to solve global optimization problems

Mohammed Ahmed Shah

This paper introduces three hybrid algorithms that help in solving global optimization problems using reinforcement learning along with metaheuristic methods. Using the algorithms presented, the search agents try to find a global optimum avoiding the local optima trap. Compared to the classical metaheuristic approaches, the proposed algorithms display higher success in finding new areas as well as exhibiting a more balanced performance while in the exploration and exploitation phases. The algorithms employ reinforcement agents to select an environment based on predefined actions and tasks. A r ...Daha fazlası

Makale 2021 Knowledge-Based Systems223 328 Görüntülenme Süresiz Ambargo

Süresiz Ambargo

Fault Classification for Protection in MMC-HVDC Using Machine Learning Algorithms

Cevat Rahebi

The problems in MMC-HVDC protection systems are categorized in this study using machine learning algorithms. The voltage and current data were utilized to determine the classification's features. With the use of the features derived from the voltage and current, machine learning (ML) and artificial machine learning (ML) have produced a defect locator that is accurate enough. Using this data, simulations of various fault types and unknown locations at different system points were run to anticipate the outcomes. Metrics including specificity, accuracy, and sensitivity were used to evaluate the e ...Daha fazlası

Konferans Kağıdı 2023 IEEE Xplore 15 Görüntülenme Süresiz Ambargo

Erişime Açık

A model to measure the spread power of rumors

Taymaz Akan

With technologies that have democratized the production and reproduction of information, a signifcant portion of daily interacted posts in social media has been infected by rumors. Despite the extensive research on rumor detection and verifcation, so far, the problem of calculating the spread power of rumors has not been considered. To address this research gap, the present study seeks a model to calculate the Spread Power of Rumor (SPR) as the function of content-based features in two categories: False Rumor (FR) and True Rumor (TR). For this purpose, the theory of Allport and Postman will be ...Daha fazlası

Makale 2022 Journal of Ambient Intelligence and Humanized Computing14 ( 10 ) , pp. 1 - 13811 70 Görüntülenme

Erişime Açık

Battery Charge Control in Solar Photovoltaic Systems Based on Fuzzy Logic and Jellyfish Optimization Algorithm

Cevat Rahebi

Abstract The study focuses on the integration of a fuzzy logic-based Maximum Power Point Tracking (MPPT) system, an optimized proportional Integral-based voltage controller, and the Jellyfish Optimization Algorithm into a solar PV battery setup. This integrated approach aims to enhance energy harvesting efficiency under varying environmental conditions. The study’s innovation lies in effectively addressing challenges posed by diverse environmental factors and loads. The utilization of MATLAB 2022a Simulink for modeling and the Jellyfish Optimization Algorithm for PI-controller tuning further s ...Daha fazlası

Makale 2023 Applied Sciences13 19 Görüntülenme