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An Integrated Framework for Examining Innovation Alignment in Organizations 

Dilan, Ebru; Aydın, Mehmet Nafiz (World Scientific Publ Co Pte Ltd, 2018)
Innovation has been promoted as a panacea to solve the long-standing problem of how organizations deal with complexities associated with uncertainty and instability in ever changing environments. information systems (IS) ...
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Semantic and syntactic interoperability for agricultural open-data platforms in the context of IoT using crop-specific trait ontologies 

Aydın, Şahin; Aydın, Mehmet Nafiz (MDPI AG, 2020)
In recent years, Internet-of-Things (IoT)-based applications have been used in various domains such as health, industry and agriculture. Considerable amounts of data in diverse formats are collected from wireless sensor ...
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Analysis of the Patients and Physicians Connection Network on an online Health Information Platform 

Aydın, Mehmet Nafiz; Perdahci, N. Ziya (IOS Press, 2014)
Social network applications have gained popularity in the health domain as they bring health information seekers (patients and alike) and medication advice providers (physicians and other relevant actors) together. By ...
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A Hybrid Deep Learning Framework for Unsupervised Anomaly Detection in Multivariate Spatio-Temporal Data 

Karadayı, Yıldız; Aydın, Mehmet Nafiz; Öğrenci, Arif Selçuk (Mdpi, 2020)
Multivariate time-series data with a contextual spatial attribute have extensive use for finding anomalous patterns in a wide variety of application domains such as earth science, hurricane tracking, fraud, and disease ...
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Adoption of Mobile Health Apps in Dietetic Practice: Case Study of Diyetkolik 

Akdur, Görkem; Aydın, Mehmet Nafiz; Akdur, Gizdem (Jmır Publıcatıons, Inc, 130 Queens Quay E, 2020)
Background: Dietetics mobile health apps provide lifestyle tracking and support on demand. Mobile health has become a new trend for health service providers through which they have been shifting their services from clinical ...
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An Integrated Framework for Examining Innovation Alignment in Organizations 

Dilan, Ebru; Aydın, Mehmet Nafiz (World Scientific Publ Co Pte Ltd, 2019)
Innovation has been promoted as a panacea to solve the long-standing problem of how organizations deal with complexities associated with uncertainty and instability in ever changing environments. information systems (IS) ...
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A hybrid deep learning framework for unsupervised anomaly detection in multivariate spatio-temporal data 

Karadayı, Yıldız; Aydın, Mehmet Nafiz; Öğrenci, Arif Selçuk (MDPI AG, 2020)
Multivariate time-series data with a contextual spatial attribute have extensive use for finding anomalous patterns in a wide variety of application domains such as earth science, hurricane tracking, fraud, and disease ...
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Unsupervised Anomaly Detection in Multivariate Spatio-Temporal Data Using Deep Learning: Early Detection of COVID-19 Outbreak in Italy 

Karadayı, Yıldız; Aydın, Mehmet Nafiz; Ögrenci, Arif Selçuk (Ieee-Inst Electrıcal Electronıcs Engıneers Inc, 2020)
Unsupervised anomaly detection for spatio-temporal data has extensive use in a wide variety of applications such as earth science, traffic monitoring, fraud and disease outbreak detection. Most real-world time series data ...

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Aydın, Mehmet Nafiz (8)
Karadayı, Yıldız (3)Dilan, Ebru (2)Öğrenci, Arif Selçuk (2)Akdur, Gizdem (1)Akdur, Görkem (1)Aydın, Şahin (1)Perdahci, N. Ziya (1)Ögrenci, Arif Selçuk (1)SubjectDeep learning (3)Multivariate data (3)Spatio-temporal anomaly detection (3)Ambidexterity (2)CNN (2)Complexity (2)Corporate innovation (2)Digital innovation (2)Hurricane Katrina (2)Hurricane tracking (2)... View MoreDate Issued2020 (5)2014 (1)2018 (1)2019 (1)Has File(s)
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