• Alzheimer Disease Associated Loci: APOE Single Nucleotide Polymorphisms in Marmara Region 

  Ismail, Aya Badeea; Dundar, Mehmet Sait; Erguzeloglu, Cemre Ornek; Ergoren, Mahmut Cerkez; Alemdar, Adem; Ozemri Sag, Sebnem; Temel, Sehime Gulsun (MDPI, 2024)

  Alzheimer’s disease (AD) is a major global health challenge, especially among individuals aged 65 or older. According to population health studies, Turkey has the highest AD prevalence in the Middle East and Europe. To ...

• Investigation of the structural and magnetic properties of rapidly solidified Nd–Fe–B–Ce alloys 

  Aytekin, Orkun; Kurban, Rifat; Durmuş, Ali; Çolak, Hakan; Karaköse, Ercan (SPRINGER LINK, 2024)

  This study introduces the frst literature report of rapidly solidifed Nd–Fe–B– Ce alloys fabricated using the melt-spinning technique at varying disc rotation speeds. The resulting alloy images are then analyzed using ...

• Investigation of the performance and properties of ZnO/GO double-layer supercapacitor 

  Büyükkürkçü, Handan; Durmuş, Ali; Çolak, Hakan; Kurban, Rifat; Şahmetlioğlu, Ertuğrul; Karaköse, Ercan (ELSEVIER, 2024)

  Composite electrode material was formed by mixing reduced graphene oxide (rGO) and zinc oxide (ZnO) compound, using the Hummers and green synthesis methods, respectively. Of rGO powder, 10 g was mixed with 10%, 20% and 30% ...

• Building a challenging medical dataset for comparative evaluation of classifier capabilities 

  Bozkurt, Berat; Coskun, Kerem; Bakal, Gokhan (ELSEVIER, 2024)

  Since the 2000s, digitalization has been a crucial transformation in our lives. Nevertheless, digitalization brings a bulk of unstructured textual data to be processed, including articles, clinical records, web pages, and ...

• Network intrusion detection based on machine learning strategies: performance comparisons on imbalanced wired, wireless, and software-defined networking (SDN) network traffics 

  Hacılar, Hilal; Aydın, Zafer; Güngör, Vehbi Çağrı (Turkish Journal of Electrical Engineering and Computer Sciences, 2024)

  The rapid growth of computer networks emphasizes the urgency of addressing security issues. Organizations rely on network intrusion detection systems (NIDSs) to protect sensitive data from unauthorized access and theft. ...

• Communications Technologies for Smart Grid Applications: A Review of Advances and Challenges 

  Tuna, Gurkan; Daş, Resul; Gungor, Vehbi Cagri (IGI Global, 2022)

  Smart grid is a modern power grid infrastructure for improved efficiency, reliability, and safety, with smooth integration of renewable and alternative energy sources, through automated control and modern communications ...

• ZAMAN PENCERELİ ARAÇ ROTALAMA PROBLEMLERİ İÇİN KÜMELEME TEMELLİ KLONAL SEÇİM ALGORİTMASI 

  Dedetürk, Bilge Kağan; Kolukısa, Burak; Özmen, Mihrimah (Ankara Üniversitesi, 2023)

  Günümüzde doğal felaketlerin sayısı artmakta, daha sık yaşanmakta ve bu afetler, insan hayatını derinden etkilemektedir. Depremler, sel olayları ve salgınlar gibi doğal felaketlerin yol açtığı tahribatla başa çıkmak ...

• Hydroponic Agriculture with Machine Learning and Deep Learning Methods 

  Bulut,Nurten; Hacıbeyoğlu, Mehmet (Gazi Mühendislik, 2023)

  In the face of the rapidly increasing population of our world today, researchers have turned to studies that use existing resources more effectively and efficiently in addition to searching for new resources in order to ...

• Deep Learning Based Employee Attrition Prediction 

  Gurler, Kerem; Pak, Burcu Kuleli; Gungor, Vehbi Cagri (SPRINGER LINK, 2023)

  Employee attrition is a critical issue for the business sectors as leaving employees cause various types of difficulties for the company. Some studies exist on examining the reasons for this phenomenon and predicting it ...

• A Comparative Analysis of Passenger Flow Forecasting in Trams Using Machine Learning Algorithms 

  Adanur Dedeturk, Beyhan; Dedeturk, Bilgi Kağan; Akbas, Ayhan (Bitlis Eren Üniversitesi, 2024)

  Forecasting tram passenger flow is an important part of the intelligent transportation system since it helps with resource allocation, network design, and frequency setting. Due to varying destinations and departure times, ...

• Power line communication technologies for smart grid applications: A review of advances and challenges 

  Yigit, Melike; Gungor, Vehbi Cagri; Tuna, Gurkan; Rangoussi, Maria; Fadel, Etimad (ELSEVIER, 2014)

  This paper investigates the use of Power Line Communication (PLC) for Smart Grid (SG) applications. Firstly, an overview is done to define the characteristics of PLC and PLC-based SG applications are addressed to define ...

• Constructing structural profiles for protein torsion angle prediction 

  Aydin, Zafer; Baker, David; Noble, William Stafford (SciTePress, 2015)

  Structural frequency profiles provide important constraints on structural aspects of a protein and is receiving a growing interest in the structure prediction community. In this paper, we introduce new techniques for scoring ...

• A survey on wireless sensor networks for smart grid 

  Fadel, Etimad; Gungor, Vehbi Cagri; Nassef, Laila; Akkari, Nadine; Abbas Malik M.G.; Almasri, Suleiman; Akyildiz, Ian F. (ELSEVIER, 2015)

  The traditional power grid in many countries suffers from high maintenance costs and scalability issues along with the huge expense of building new power stations, and lack of efficient system monitoring that could increase ...

• BAUM-2: a multilingual audio-visual affective face database 

  Eroglu Erdem, Cigdem; Turan, Cigdem; Aydin, Zafer (Kluwer Academic Publishers(SpringerLink), 2015)

  Access to audio-visual databases, which contain enough variety and are richly annotated is essential to assess the performance of algorithms in affective computing applications, which require emotion recognition from face ...

• Energy harvesting and battery technologies for powering wireless sensor networks 

  Tuna, Gürkan; Güngör, Vehbi Çağrı (ELSEVIER, 2016)

  Due to the advances in wireless sensor networks (WSNs), factory and plant process automation systems are being reinvented. WSN-based industrial applications often cost much less than wired networks in both the short and ...

• Colibri: An international blended learning experience based on real-world problems 

  Pedersen, Jens M.; Kuran, Mehmet Şükrü; Frick, Jan; Mank, Lea (University of Minho, 2016)

  Colibri is a European project funded by Erasmus+, where seven universities, a governmental organisation and two enterprises work together and explore new and innovative approaches to teaching. As part of the project we ...

• 4D-QSAR investigation and pharmacophore identification of pyrrolo[2,1-c][1,4]benzodiazepines using electron conformational–genetic algorithm method 

  Özalp, A.; Yavuz, S.Ç.; Sabancı, N.; Çapur, F.; Kökbudak, Z.; Sarıpınar, E. (Taylor and Francis Ltd., 2016)

  In this paper, we present the results of pharmacophore identification and bioactivity prediction for pyrrolo[2,1-c][1,4]benzodiazepine derivatives using the electron conformational–genetic algorithm (EC–GA) method as 4D-QSAR ...

• Moodle: Practical advices for university teachers 

  Pedersen, Jens Myrup; Kuran, Mehmet Şükrü (SPRINGER, 2018)

  Moodle is a widely used Learning Management System, with a market share of 20% in the US/Canada and 65% in Europe. However, it is our experience that the system is too often used just as a website or repository for classical ...

• Learning management systems on blended learning courses: An experience-based observation 

  Kuran, Mehmet Şükrü; Pedersen, Jens Myrup; Elsner, Raphael (SPRINGER, 2018)

  This paper gives an overview of Learning Management System (LMS) features based on observations on a blended learning course under the Erasmus+ project COLIBRI. We explain the main features of LMSes under two main categories: ...

• Evaluation of hybrid classification approaches: Case studies on credit datasets 

  Cetiner, Erkan; Gungor, Vehbi Cagri; Kocak, Taskin (SPRINGER, 2018)

  Hybrid classification approaches on credit domain are widely used to obtain valuable information about customer behaviours. Single classification algorithms such as neural networks, support vector machines and regression ...

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