• A Firewall Policy Anomaly Detection Framework for Reliable Network Security 

  Togay, Cengiz; Kaşif, Ahmet; Catal, Cagatay; Tekinerdogan, Bedir (IEE, 2021)

  One of the key challenges in computer networks is network security. For securing the network, various solutions have been proposed, including network security protocols and firewalls. In the case of so-called packet-filtering ...

• The Investigation of the Success of Different Machine Learning Methods in Breast Cancer Diagnosis 

  Ates, Ibrahim; Bilgin, Turgay Tugay (Düzce Üniversitesi, 2021)

  Objective: The aim of this study is to identify cancer earlier in life using machine learning methods. Methods: For this purpose, the Wisconsin Diagnostic Breast Cancer dataset was classified using Naive Bayes, decision ...

• A New Approach to Minimize Memory Requirements of Frequent Subgraph Mining Algorithms 

  Bilgin, Turgay Tugay (Gazi Universitesi, 2021)

  Frequent subgraph mining (FSM) is a subsection of graph mining domain which is extensively used for graph classification and graph clustering purposes. Over the past decade, many efficient FSM algorithms have been developed. ...

• Securing Internet of Things Networks with Gateways and Multi-SSID Technology 

  Kaşif, Ahmet; Toğay, Cengiz; Levi, Albert (Institute of Electrical and Electronics Engineers Inc., 2021)

  The Internet of Things (IoT) technology has entered our lives with industry and smart home technologies, and today it has started to be used in fields such as health, finance, transportation, energy and space research. ...

• Novel Approach to Minimize the Memory Requirements of Frequent Subgraph Mining Techniques 

  Bilgin, Turgay Tugay; Murat, Oğuz (John Wiley and Sons Inc, 2021)

  Frequent subgraph mining (FSM) is a subset of the graph mining domain that is extensively used for graph classification and clustering. Over the past decade, many efficient FSM algorithms have been developed with improvements ...

• Clustered mobile data collection in WSNs: An energy-delay trade-off 

  Şentürk, İzzet Fatih (Turkiye Klinikleri, 2021)

  Wireless sensor networks enable monitoring remote areas with limited human intervention. However, the network connectivity between sensor nodes and the base station (BS) may not be always possible due to the limited ...

• Energy load forecasting using a dual-stage attention-based recurrent neural network 

  Ozcan A.; Catal C.; Kaşif, Ahmet (MDPI, 2021)

  Providing a stable, low-price, and safe supply of energy to end-users is a challenging task. The energy service providers are affected by several events such as weather, volatility, and special events. As such, the prediction ...

• A new parallel processing architecture for accelerating image encryption based on chaos 

  Yavuz, Erdem (Elsevier Ltd, 2021)

  This study introduces a novel parallel processing architecture for accelerating image encryption based on chaos. In the proposed architecture, whole image data is split into partitions of particular size to create separate ...

• Web Proxy Log Data Mining System for Clustering Users and Search Keywords 

  Bilgin, Turgay Tugay; Aytekin, Mustafa Koray (2017)

  In this study, Internet users were clustered by the search keywords which they type into search bars of search engines. Our proposed software is called UQCS (User Queries Clustering System) and it is developed to demonstrate ...

• A Steiner Zone Approach for Mobile Data Collection in Partitioned Wireless Sensor Networks 

  Şentürk, İzzet Fatih (2020)

  Wireless sensor networks (WSNs) typically operate in harsh environmental conditions. Hardware constraints and external damage from inhospitable surroundings leave the nodes susceptible to node failures. Depending on the ...

• Meme Kanseri Teşhisi İçin Yeni Bir Skor Füzyon Yaklaşımı 

  Yavuz, Erdem; Eyüpoğlu, Can (2019)

  Meme kanseri tüm dünyada yaygın bir hastalık olması sebebiyle hastalığın erken teşhisi, hastaların bu hastalıktan tamamen kurtulabilmeleri açısından kritik öneme sahiptir. Hastalığın teşhisini kolaylaştırmak için tıp ...

• Performing similarity analysis on organic farming crop data of Turkish Cities 

  Kaşif, Ahmet; Ortaç, Gizem; Ibis, E.; Bilgin, Turgay Tugay (Institute of Electrical and Electronics Engineers Inc., 2020)

  Organic crop production is an important technique which can help increase the quality and throughput of food production. In this study, similarity analysis of organic farming crop data of Turkish cities has been performed. ...

• Intrinsic evaluation of word embeddings for Turkish 

  Agun, Hayri Volkan; Yilmazel, O. (Association for Computing Machinery, 2020)

  Word embeddings are evaluated through intrinsic and extrinsic tests. Similarity and analogy test are mainly preferred for intrinsic evaluation and natural language processing tasks such as named entity recognition and ...

• An Electronic Control Unit for Erythrocyte Sedimentation Rate Test Device 

  Sanver, U.; Yavuz, Erdem (Institute of Electrical and Electronics Engineers Inc., 2020)

  Erythrocyte sedimentation rate test device, which is expensive as a commercial product, is a commonly used tools in the biomedical field. In this study, a low-cost and effective electronic control unit for erythrocyte ...

• Topological and biological assessment of gene networks using miRNA-target gene data 

  Cingiz, Mustafa Özgür; Diri, B. (Institute of Electrical and Electronics Engineers Inc., 2019)

  In recent years, different biological data sets obtained by the next generation sequencing techniques have enhanced the analysis of the underlying molecular interactions of diseases. In our study we apply ARNetMiT, C3NET, ...

• A Prescient Recovery Approach for Disjoint MSNs 

  Şentürk, İzzet Fatih (Ieee, 2017)

  In Mobile Sensor Networks (MSNs), limited transmission range of the sensor nodes requires nodes to collaborate with each other in order to send their data to the Base Station (BS) which acts as a gateway between the network ...

• Deployment Algorithms to Simulate Large-scale Node Failures in Wireless Sensor Networks 

  Şentürk, İzzet Fatih (Ieee, 2018)

  Wireless sensor networks (WSNs) enable monitoring surrounding physical phenomena in inhospitable environments through employing low-power sensor nodes with limited transmission range. A less resource-restricted base station ...

• Classification of Turkish Universities by quantity and titles of Academic Staff 

  Kaşif, Ahmet; Bilgin, Turgay Tugay (Ieee, 2018)

  In this study, universities are clustered based on the quantity and title of the academics employed by Turkish Universities. The data comes from both state and private universities and vocational schools. For clustering, ...

• Selection of spectral features for land cover type classification 

  Gümüş, Ergün; Kirci, Pinar (Pergamon-Elsevier Science Ltd, 2018)

  Sophisticated sensors of satellites help researchers collect detailed maps of land surface in various image wavebands. These wavebands are processed to form spectral features identifying distinct land structures. However, ...

• A Novel Shortest Path Routing Algorithm for Wireless Data Collection in Transportation Networks 

  Şentürk, İzzet Fatih; Kebe, Gaoussou Youssouf (Ieee, 2019)

  This paper presents a heuristic solution to the shortest path routing problem in a road network where source and target locations are defined in a continuous plane. The problem arises when a wireless mobile entity is ...

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