Search Results - "Arslan, Recep Sinan"
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Sleep disorder and apnea events detection framework with high performance using two-tier learning model design
Published in PeerJ. Computer science (29-09-2023)“…Sleep apnea is defined as a breathing disorder that affects sleep. Early detection of sleep apnea helps doctors to take intervention for patients to prevent…”
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AndroAnalyzer: android malicious software detection based on deep learning
Published in PeerJ. Computer science (10-05-2021)“…Technological developments have a significant effect on the development of smart devices. The use of smart devices has become widespread due to their extensive…”
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FG-Droid: Grouping based feature size reduction for Android malware detection
Published in PeerJ. Computer science (14-07-2022)“…The number of applications prepared for use on mobile devices has increased rapidly with the widespread use of the Android OS. This has resulted in the…”
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Singer identification model using data augmentation and enhanced feature conversion with hybrid feature vector and machine learning
Published in EURASIP journal on audio, speech, and music processing (26-02-2024)“…Analyzing songs is a problem that is being investigated to aid various operations on music access platforms. At the beginning of these problems is the…”
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The ARIMA model approach for the biofilm-forming capacity prediction of Listeria monocytogenes recovered from carcasses
Published in BMC veterinary research (27-03-2024)“…The present study aimed to predict the biofilm-formation ability of L. monocytogenes isolates obtained from cattle carcasses via the ARIMA model at different…”
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AMD‐CNN: Android malware detection via feature graph and convolutional neural networks
Published in Concurrency and computation (25-10-2022)“…Summary Android malware has become a serious threat to mobile device users, and effective detection and defence architectures are needed to solve this problem…”
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RT-Droid: a novel approach for real-time android application analysis with transfer learning-based CNN models
Published in Journal of real-time image processing (01-06-2023)“…Today, the number, type and complexity of malware is increasing rapidly. Convolution neural network (CNN) based networks continue to be used in software…”
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Automated sleep scoring system using multi-channel data and machine learning
Published in Computers in biology and medicine (01-07-2022)“…Sleep staging is one of the most important parts of sleep assessment and it has an important role in early diagnosis and intervention of sleep disorders…”
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Sensitive deep learning application on sleep stage scoring by using all PSG data
Published in Neural computing & applications (01-04-2023)“…Polysomnography (PSG)-based sleep stage scoring is time-consuming and it suffers from variability in results. With the help of automated PSG scoring, which is…”
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End-to end decision support system for sleep apnea detection and Apnea-Hypopnea Index calculation using hybrid feature vector and Machine learning
Published in Biocybernetics and biomedical engineering (01-10-2023)“…Sleep apnea is a disease that occurs due to the decrease in oxygen saturation in the blood and directly affects people's lives. Detection of sleep apnea is…”
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Identify Type of Android Malware with Machine Learning Based Ensemble Model
Published in 2021 5th International Symposium on Multidisciplinary Studies and Innovative Technologies (ISMSIT) (21-10-2021)“…The Android operating system is widely used in mobile devices thanks to its open source environment, flexible structure and features it offers. This situation…”
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Conference Proceeding -
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Karanlık ağ trafiğinin makine öğrenmesi yöntemleri kullanılarak tespiti ve sınıflandırılması
Published in Gazi Üniversitesi Mühendislik Mimarlık Fakültesi dergisi (06-01-2023)“…Dijitalleşme ile suç dünyası da dijital bir hale gelmiştir ve internet üzerinden işlenen suçların sayısı her geçen gün artmaktadır. Siber suçlular ve…”
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14
Comparison of Feature Selection Methods in Security Analysis of Android
Published in 2021 6th International Conference on Computer Science and Engineering (UBMK) (15-09-2021)“…Feature selection as a dimension reduction technique aims to select the subset containing less features by removing unrelated redundant or noisy features…”
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Conference Proceeding -
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The Effect of Different Optimization Techniques on End-to-End Turkish Speech Recognition Systems that use Connectionist Temporal Classification
Published in 2018 2nd International Symposium on Multidisciplinary Studies and Innovative Technologies (ISMSIT) (01-10-2018)“…In the production of acoustic models for speech recognition applications, the use of Long Short Term Memory(LSTM) based Recurrent Neural Network(RNN) has begun…”
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Conference Proceeding -
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Android mobil uygulamalar için izin karşılaştırma tabanlı kötücül yazılım tespiti
Published in Politeknik Dergisi (01-01-2017)“…Mobil uygulamalar izin tabanlı modelleri sayesinde kendi güvenlik ve gizlilik modellerini oluştururlar. Uygulamalar, yüklendikleri mobil araçlarda herhangi bir…”
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