Blar i NTNU Open på forfatter "Yildirim Yayilgan, Sule"

Viser treff 21-40 av 43

    • Isolated Handwritten Character Recognition of Ancient Hebrew Manuscripts 

      Lumban Tobing, Tabita; Yildirim Yayilgan, Sule; George, Sony; Elgvin, Torleif (Journal article, 2022)
      Character recognition is widely considered an essential factor in preserving and digitizing historical handwritten documents. While it has shown a significant impact, the character recognition of historical handwritten ...

    • A LINDDUN-Based Privacy Threat Modelling for National Identification Systems 

      Nweke, Livinus Obiora; Abomhara, Mohamed; Yildirim Yayilgan, Sule; Camparin, Debora; Heurtier, Olivier; Bunney, Calum (Chapter, 2022)
      The international focus on attaining identity for all has fostered advances in technological developments that have given rise to changing demands on the architecture and deployment of national identification (NID) systems. ...

    • A Low-cost and Accurate Microwave Sensor System for Permittivity Characterization 

      Pourafzal, Alireza; Roi-Taravella, Thomas; Cheffena, Michael; Yildirim Yayilgan, Sule (Peer reviewed; Journal article, 2022)
      A novel low-cost microwave sensor system is proposed for accurate sensing of the real relative permittivity of materials under test (MUT). The proposed solution eliminates the need for using advanced measurement devices ...

    • Mobile-Based Painting Photo Retrieval using Combined Features 

      Companioni-Brito, Claudia; Mariano, Zygred; Elawady, Mohamed; Yildirim Yayilgan, Sule (Journal article; Peer reviewed, 2018)
      In paintings or artworks, sharing a photo of a painting using mobile phone is simple and fast. However, searching for information about specific captured photo of an unknown painting takes time and is not easy. No previous ...

    • The multi-objective feature selection in Android malware detection system 

      Mohammadi Golrang, Anahita; Yildirim Yayilgan, Sule; Elezaj, Ogerta (Peer reviewed; Journal article, 2021)
      The Android operating system boosts a global market share over the previous years, which has made it the most popular operating system in the world. Recently, Android has become the target of attacks by cybercriminals ...

    • A Novel hybrid IDS based on modified NSGAII-ANN and Random Forest 

      Golrang, Anahita; Golrang, Alale; Yildirim Yayilgan, Sule; Elezaj, Ogerta (Peer reviewed; Journal article, 2020)
      Machine-learning techniques have received popularity in the intrusion-detection systems in recent years. Moreover, the quality of datasets plays a crucial role in the development of a proper machine-learning approach. ...

    • Optimised Deep Learning Features for Improved Melanoma Detection 

      Majtner, Tomas; Yildirim Yayilgan, Sule; Hardeberg, Jon Yngve (Journal article; Peer reviewed, 2018)
      In this article, we are addressing the question of effective usage of the feature set extracted from deep learning models pre-trained on ImageNet. Exploring this option will offer very fast and attractive alternative to ...

    • Practical Implementation of Privacy Preserving Clustering Methods Using a Partially Homomorphic Encryption Algorithm 

      Catak, Ferhat Özgur; Aydin, Ismail; Elezaj, Ogerta; Yildirim Yayilgan, Sule (Journal article; Peer reviewed, 2020)
      The protection and processing of sensitive data in big data systems are common problems as the increase in data size increases the need for high processing power. Protection of the sensitive data on a system that contains ...

    • Pre-trained CNN based deep features with hand-crafted features and patient data for skin lesion classification 

      Yildirim Yayilgan, Sule; Arifaj, Blend; Rahimpour, Masoomeh; Hardeberg, Jon Yngve; Ahmedi, Lule (Peer reviewed; Journal article, 2021)
      Skin cancer is a major public health problem, with millions newly diagnosed cases each year. Melanoma is the deadliest form of skin cancer, responsible for the most over 6500 deaths each year in the US, and the rates have ...

    • “A Privacy and Data Protection Best Practices for Biometrics Data Processing in Border Control: Lesson Learned from SMILE 

      Abomhara, Mohamed Ali Saleh; Yildirim Yayilgan, Sule (Peer reviewed; Journal article, 2021)
      Biometric recognition is a highly adopted technology to support different kinds of applications, ranging from security and access control applications to low enforcement applications. However, such systems raise serious ...

    • PS-DeVCEM: Pathology-sensitive deep learning model for video capsule endoscopy based on weakly labeled data 

      Mohammed, Ahmed Kedir; Farup, Ivar; Pedersen, Marius; Yildirim Yayilgan, Sule; Hovde, Øistein (Peer reviewed; Journal article, 2020)
      We propose a novel pathology-sensitive deep learning model (PS-DeVCEM) for frame-level anomaly detection and multi-label classification of different colon diseases in video capsule endoscopy (VCE) data. Our proposed model ...

    • Security Analysis of Wireless BAN in e-Health 

      Muka, Romina; Yildirim Yayilgan, Sule; Sevrani, Kozeta (Journal article; Peer reviewed, 2017)
      The Wireless Body Area Network (WBAN) has gained popularity as a new technology for e-Health, and is considered as one of the key research areas in computer science and healthcare applications. WBAN collects patients’ data, ...

    • Security and Privacy issues in IoT based Smart Grids: A case study in a digital substation 

      Abraham, Doney; Yildirim Yayilgan, Sule; Abomhara, Mohamed; Gebremedhin, Alemayehu; Dalipi, Fisnik (Chapter, 2022)
      Smart Grid is one of the increasingly used critical infrastructures that is essential for the functioning of a country. This coupled with Internet of Things (IoT) has huge potentials in several areas such as remote monitoring ...

    • Stochastic Capsule Endoscopy Image Enhancement 

      Mohammed, Ahmed Kedir; Farup, Ivar; Pedersen, Marius; Hovde, Øistein; Yildirim Yayilgan, Sule (Journal article; Peer reviewed, 2018)
      Capsule endoscopy, which uses a wireless camera to take images of the digestive tract, is emerging as an alternative to traditional colonoscopy. The diagnostic values of these images depend on the quality of revealed ...

    • StreoScenNet: Surgical stereo robotic scene segmentation 

      Mohammed, Ahmed Kedir; Yildirim Yayilgan, Sule; Farup, Ivar; Pedersen, Marius; Hovde, Øistein (Journal article; Peer reviewed, 2019)
      Surgical robot technology has revolutionized surgery toward a safer laparoscopic surgery and ideally been suited for surgeries requiring minimal invasiveness. Sematic segmentation from robot-assisted surgery videos is an ...

    • A survey of artificial intelligence techniques for user perceptions’ extraction from social media data 

      Shaikh, Sarang; Yildirim Yayilgan, Sule; Zoto, Erjon; Abomhara, Mohamed (Peer reviewed; Journal article, 2022)
      Measuring and analyzing user perceptions and behaviors in order to make user-centric decisions has been a topic of research for a long time even before the invention of social media platforms. In the past, the main approaches ...

    • The impact of deep learning on document classification using semantically rich representations 

      Kastrati, Zenun; Imran, Ali Shariq; Yildirim Yayilgan, Sule (Journal article; Peer reviewed, 2019)
      This paper presents a semantically rich document representation model for automatically classifying financial documents into predefined categories utilizing deep learning. The model architecture consists of two main modules ...

    • The Impact of Replacing Complex Hand-Crafted Features with Standard Features for Melanoma Classification using Both Hand-Crafted and Deep Features 

      Melit Devassy, Binu; Yildirim Yayilgan, Sule; Hardeberg, Jon Yngve (Journal article; Peer reviewed, 2018)
      Melanoma is the deadliest form of skin cancer and it is the most rapidly spreading cancer in the world. An earlier detection of this kind of cancer is curable; hence, earlier detection of melanoma is pre-eminent. Because ...

    • Threat Modeling of a Smart Grid Secondary Substation 

      Holik, Filip; Flå, Lars; JAATUN, Martin Gilje; Yildirim Yayilgan, Sule; Foros, Jørn (Peer reviewed; Journal article, 2022)
      A full smart grid implementation requires the digitization of all parts of the smart grid infrastructure, including secondary electrical substations. Unfortunately, this introduces new security threats, which were not ...

    • Towards Blockchain-based GDPR compliant Online Social Networks: Challenges, Opportunities and Way Forward 

      Ahmed, Javeed; Yildirim Yayilgan, Sule; Ramachandra, Raghavendra; Abomhara, Mohamed Ali Saleh; Nowostawski, Mariusz (Peer reviewed; Journal article, 2019)
      Online Social Networks (OSNs) are very popular and widely adopted by the vast majority of Internet users across the globe. Recent scandals on the abuse of users’ personal information via these platforms have raised serious ...