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Security and Privacy in Medical Internet of Things and Cluster-Based Wireless Sensor Networks for Health Care 

Hammoodi, Asmaa Salih; Ozdemir, Suat; Tuncer, A. Turgut; Celebi, Fatih V (2020)
Advances in sensing, networking, and the ambient intelligence of wireless sensor networks (WSNs) have been taking place in many applications recently. Growing health-care systems need wireless-based sensor networks to ...
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A hybrid measure for the discrimination of the acoustic signals: Feature matrix (FMx) 

Anskishan, Haydar; Inam, Sitki Cagdas (2019)
We introduce a new feature matrix (FMx) to discriminate the acoustic signals with the help of their hybrid characteristics. The FMx has hybrid domain characteristics consisting of feature values such as distributional area ...
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A model for the visualization and analysis of elevator traffic 

Ciflikli, Cebrail; Tartan, Emre Oner (2019)
Analysis of elevator traffic in high rise buildings is critical to the performance evaluation of elevator group control systems (EGCS). Elevator dispatching methods or parking algorithms in an EGCS can be designed or ...
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Classification of acoustic signals with new feature: Fibonacci space (FSp) 

Ankishan, Haydar (2019)
In this study, a new feature and feature space (FSp) are introduced by using the approach of Fibonacci series formation. The results are presented as two experimental studies. The nine groups of acoustic signals and ...
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Estimation of heartbeat rate from speech recording with hybrid feature vector (HFV) 

Ankishan, Haydar (2019)
This paper introduces a new hybrid feature vector for revealing the relationship between human voice and heartbeat rate (HBR). Various samples of the sustained vowel /a/ for different HBR have been extracted from a database ...
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Blood pressure prediction from speech recordings 

Ankishan, Haydar (2020)
The aim of this study is to extract new features to show the relationship between speech recordings and blood pressure (BP). For this purpose, a database consisting of / a / vowels with different BP values under the same ...
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Detecting COVID-19 from Respiratory Sound Recordings with Transformers 

Aytekin, Idil; Dalmaz, Onat; Ankishan, Haydar; Saritas, Emine U.; Bagci, Ulas; Cukur, Tolga; Celik, Haydar; Drukker, K; Iftekharuddin, KM (2022)
Auscultation is an established technique in clinical assessment of symptoms for respiratory disorders. Auscultation is safe and inexpensive, but requires expertise to diagnose a disease using a stethoscope during hospital ...

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AuthorAnkishan, Haydar (4)Anskishan, Haydar (1)Aytekin, Idil (1)Bagci, Ulas (1)Celebi, Fatih V (1)Celik, Haydar (1)Ciflikli, Cebrail (1)Cukur, Tolga (1)Dalmaz, Onat (1)Drukker, K (1)... View MoreSubjectFeature extraction (4)Acoustic signal analysis (2)AES Algorithm (1)Blood pressure (1)breathing (1)Caesar Cipher (1)Colored noise discrimination (1)cough (1)COVID-19 (1)CR4 Algorithm (1)... View MoreDate Issued2019 (4)2020 (2)2022 (1)Has File(s)
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