Search Results - "Kolozali, Sefki"

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  1. 1

    Using machine learning for anomaly detection on a system-on-chip under gamma radiation by Wächter, Eduardo Weber, Kasap, Server, Kolozali, Şefki, Zhai, Xiaojun, Ehsan, Shoaib, McDonald-Maier, Klaus D.

    Published in Nuclear engineering and technology (01-11-2022)
    “…The emergence of new nanoscale technologies has imposed significant challenges to designing reliable electronic systems in radiation environments. A few types…”
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    Journal Article
  2. 2

    CityPulse: Large Scale Data Analytics Framework for Smart Cities by Puiu, Dan, Barnaghi, Payam, Tonjes, Ralf, Kumper, Daniel, Ali, Muhammad Intizar, Mileo, Alessandra, Xavier Parreira, Josiane, Fischer, Marten, Kolozali, Sefki, Farajidavar, Nazli, Gao, Feng, Iggena, Thorben, Pham, Thu-Le, Nechifor, Cosmin-Septimiu, Puschmann, Daniel, Fernandes, Joao

    Published in IEEE access (2016)
    “…Our world and our lives are changing in many ways. Communication, networking, and computing technologies are among the most influential enablers that shape our…”
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    Journal Article
  3. 3

    Explainable Early Prediction of Gestational Diabetes Biomarkers by Combining Medical Background and Wearable Devices: A Pilot Study with a Cohort Group in South Africa by Kolozali, Sefki, White, Sara L, Norris, Shane, Fasli, Maria, van Heerden, Alastair

    “…This study aims to explore the potential of Internet of Things (IoT) devices and explainable Artificial Intelligence (AI) techniques in predicting biomarker…”
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    Journal Article
  4. 4

    Feasibility and acceptability of continuous at-home glucose monitoring during pregnancy: a mixed-methods pilot study by van Heerden, Alastair, Kolozali, Şefki, Norris, Shane A

    “…Continuous monitoring of glucose (CGM) via subcutaneous patch is an accurate self-monitoring tool of blood glucose, but also introduces a range of additional…”
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    Journal Article
  5. 5

    Early detection of COPD patients’ symptoms with personal environmental sensors: a remote sensing framework using probabilistic latent component analysis with linear dynamic systems by Kolozali, Şefki, Chatzidiakou, Lia, Jones, Roderic, Quint, Jennifer K., Kelly, Frank, Barratt, Benjamin

    Published in Neural computing & applications (01-08-2023)
    “…In this study, we present a cohort study involving 106 COPD patients using portable environmental sensor nodes with attached air pollution sensors and…”
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    Journal Article
  6. 6

    Automatic Ontology Generation for Musical Instruments Based on Audio Analysis by Kolozali, Sefki, Barthet, Mathieu, Fazekas, Gyorgy, Sandler, Mark

    “…In this paper we present a novel hybrid system that involves a formal method of automatic ontology generation for web-based audio signal processing…”
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    Journal Article
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    Observing the Pulse of a City: A Smart City Framework for Real-Time Discovery, Federation, and Aggregation of Data Streams by Kolozali, Sefki, Kuemper, Daniel, Tonjes, Ralf, Bermudez-Edo, Maria, Farajidavar, Nazli, Barnaghi, Payam, Gao, Feng, Intizar Ali, Muhammad, Mileo, Alessandra, Fischer, Marten, Iggena, Thorben

    Published in IEEE internet of things journal (01-04-2019)
    “…An increasing number of cities are confronted with challenges resulting from the rapid urbanization and new demands that a rapidly growing digital economy…”
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    Journal Article
  9. 9

    On the Effect of Adaptive and Nonadaptive Analysis of Time-Series Sensory Data by Kolozali, Sefki, Puschmann, Daniel, Bermudez-Edo, Maria, Barnaghi, Payam

    Published in IEEE internet of things journal (01-12-2016)
    “…With the growing popularity of information and communications technologies and information sharing and integration, cities are evolving into large…”
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    Journal Article
  10. 10

    Data analysis as a web service: A case study using IoT sensor data by Ahrabian, Alireza, Kolozali, Sefki, Enshaeifar, Shirin, Cheong-Took, Clive, Barnaghi, Payam

    “…The advent of Internet of Things, has resulted in the development of infrastructure for capturing and storing data from domains ranging from smart devices…”
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    Conference Proceeding
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    Automatic ontology generation based on semantic audio analysis by Kolozali, Sefki

    Published 01-01-2014
    “…Ontologies provide an explicit conceptualisation of a domain and a uniform framework that represents domain knowledge in a machine interpretable format. The…”
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    Dissertation
  13. 13

    Leveraging mmWave for Contactless Breath Rate Estimation of Moving Subjects by Turetta, Cristian, Varasteh, Morteza, Kolozali, Sefki, Pravadelli, Graziano

    “…The breath rate (BR) measurement is fundamental for comprehensive human health monitoring in many scenarios. Accurately estimating BR, particularly in moving…”
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    Conference Proceeding
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    Audio-Based Deep Learning Frameworks for Detecting COVID-19 by Ngo, Dat, Pham, Lam, Hoang, Truong, Kolozali, Sefki, Jarchi, Delaram

    “…This paper evaluates a wide range of audio-based deep learning frameworks applied to the breathing, cough, and speech sounds for detecting COVID-19. In…”
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    Conference Proceeding
  16. 16

    Audio-Based Deep Learning Frameworks for Detecting COVID-19 by Ngo, Dat, Pham, Lam, Hoang, Truong, Kolozali, Sefki, Jarchi, Delaram

    Published 10-02-2022
    “…This paper evaluates a wide range of audio-based deep learning frameworks applied to the breathing, cough, and speech sounds for detecting COVID-19. In…”
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    Journal Article
  17. 17

    An Inception-Residual-Based Architecture with Multi-Objective Loss for Detecting Respiratory Anomalies by Ngo, Dat, Pham, Lam, Phan, Huy, Tran, Minh, Jarchi, Delaram, Kolozali, Sefki

    “…This paper presents a deep learning system applied for detecting anomalies from respiratory sound recordings. Initially, our system begins with audio feature…”
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    Conference Proceeding
  18. 18

    An Inception-Residual-Based Architecture with Multi-Objective Loss for Detecting Respiratory Anomalies by Ngo, Dat, Pham, Lam, Phan, Huy, Tran, Minh, Jarchi, Delaram, Kolozali, Sefki

    Published 07-03-2023
    “…This paper presents a deep learning system applied for detecting anomalies from respiratory sound recordings. Initially, our system begins with audio feature…”
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    Journal Article
  19. 19

    Using Machine Learning for Anomaly Detection on a System-on-Chip under Gamma Radiation by Wachter, Eduardo Weber, Kasap, Server, Kolozali, Sefki, Zhai, Xiaojun, Ehsan, Shoaib, McDonald-Maier, Klaus

    Published 05-01-2022
    “…The emergence of new nanoscale technologies has imposed significant challenges to designing reliable electronic systems in radiation environments. A few types…”
    Get full text
    Journal Article
  20. 20

    Physical-cyber-social similarity analysis in smart cities by Farajidavar, Nazli, Kolozali, Sefki, Barnaghi, Payam

    “…The inter-departmental interactions and coordination of resources are two essential components for realising a smart city platform. In this study, we…”
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    Conference Proceeding