Works (3)
Updated: July 5th, 2023 15:33
2020 article
Bimodal affect recognition based on autoregressive hidden Markov models from physiological signals
Akbulut, F. P., Perros, H. G., & Shahzad, M. (2020, May 26). Computer Methods and Programs in Biomedicine.
author keywords: Affect recognition; Autoregressive hidden Markov models; Machine learning; Biosignals; Heart rate variability
MeSH headings : Electrocardiography; Emotions; Female; Happiness; Heart Rate; Humans; Male
topics (OpenAlex): Heart Rate Variability and Autonomic Control; Emotion and Mood Recognition; EEG and Brain-Computer Interfaces
TL;DR:
A method to accurately recognize six emotions using ECG and EDA signals and applying autoregressive hidden Markov models (AR-HMMs) and heart rate variability analysis on these signals is presented.
(via Semantic Scholar)
Source: Web Of Science
Added: October 12, 2020
2019 article
Performance Analysis of Microservice Design Patterns
Akbulut, A., & Perros, H. G. (2019, November 1). IEEE Internet Computing.
author keywords: Time factors; Logic gates; Computer architecture; Random access memory; Measurement; Internet; Message systems; Microservices; Design Patterns; Microservices Architecture; Performance Analysis; Software Architecture
topics (OpenAlex): Software System Performance and Reliability; Cloud Computing and Resource Management; Software-Defined Networks and 5G
TL;DR:
In this article, performance results related to query response time, efficient hardware usage, hosting costs, and packet-loss rate are obtained, for three microservice design patterns practiced in the software industry.
(via Semantic Scholar)
UN Sustainable Development Goal Categories
9. Industry, Innovation and Infrastructure
(Web of Science; OpenAlex)
Source: Web Of Science
Added: March 10, 2020
2018 article
Fetal health status prediction based on maternal clinical history using machine learning techniques
Akbulut, A., Ertugrul, E., & Topcu, V. (2018, June 14). Computer Methods and Programs in Biomedicine.
author keywords: Machine learning; Medical diagnosis; Risk prediction; Pregnancy; Fetal health; Prognosis; m-Health
MeSH headings : Algorithms; Area Under Curve; Bayes Theorem; Congenital Abnormalities / diagnosis; Decision Trees; Diagnosis, Computer-Assisted / methods; Female; Fetus / physiology; Health Status; Humans; Internet; Logistic Models; Machine Learning; Mobile Applications; Perception; Pregnancy; ROC Curve; Regression Analysis; Reproducibility of Results; Support Vector Machine; Telemedicine; Ultrasonography, Prenatal
topics (OpenAlex): Pregnancy and preeclampsia studies; Autopsy Techniques and Outcomes; Statistical Methods in Epidemiology
TL;DR:
A prediction system with assistive e-Health applications to help clinicians and families to better predict fetal congenital anomalies besides the traditional pregnancy tests using machine learning techniques and e- health applications is developed.
(via Semantic Scholar)
UN Sustainable Development Goal Categories
3. Good Health and Well-being
(Web of Science)
Source: Web Of Science
Added: October 19, 2018