• Network anomaly detection using Deep Autoencoder and parallel Artificial Bee Colony algorithm-trained neural network 

  Hacilar, Hilal; Dedeturk, Bilge Kagan; Bakir-Gungor, Burcu; Gungor, Vehbi Cagr (PEERJ INC, 2024)

  Cyberattacks are increasingly becoming more complex, which makes intrusion detection extremely difficult. Several intrusion detection approaches have been developed in the literature and utilized to tackle computer security ...

• An optimal concentric circular antenna array design using atomic orbital search for communication systems 

  Durmus, Ali; Yildirim, Zafer; Kurban, Rifat; Karakose, Ercan (Walter de Gruyter GmbH, 2024)

  In this study, optimum radiation patterns of Concentric Circular Antenna Arrays (CCAAs) are obtained by using the Atomic Orbital Search (AOS) algorithm for communication spectrum. Communication systems stands as a nascent ...

• Ensemble Feature Selection for Clustering Damage Modes in Carbon Fiber-Reinforced Polymer Sandwich Composites Using Acoustic Emission 

  Gulsen, Abdulkadir; Kolukisa, Burak; Caliskan, Umut; Bakir-Gungor, Burcu; Gungor, Vehbi Cagri (John Wiley and Sons Inc, 2024)

  Acoustic emission (AE) serves as a noninvasive technique for real-time structural health monitoring, capturing the stress waves produced by the formation and growth of cracks within a material. This study presents a novel ...

• CCPred: Global and population-specific colorectal cancer prediction and metagenomic biomarker identification at different molecular levels using machine learning techniques 

  Bakir-Gungor, Burcu; Temiz, Mustafa; Inal, Yasin; Cicekyurt, Emre; Yousef, Malik (ELSEVIER, 2024)

  Colorectal cancer (CRC) ranks as the third most common cancer globally and the second leading cause of cancer-related deaths. Recent research highlights the pivotal role of the gut microbiota in CRC development and ...

• Lifetime maximization of IoT-enabled smart grid applications using error control strategies 

  Tekin, Nazli; Dedeturk, Bilge Kagan; Gungor, Vehbi Cagri (ELSEVIER, 2024)

  Recently, with the advancement of Internet of Things (IoT) technology, IoT-enabled Smart Grid (SG) applications have gained tremendous popularity. Ensuring reliable communication in IoT-based SG applications is challenging ...

• EdgeBus: Co-Simulation based resource management for heterogeneous mobile edge computing environments 

  Ali, Babar; Golec, Muhammed; Gill, Sukhpal Singh; Wu, Huaming; Cuadrado, Felix; Uhlig, Steve (ELSEVIER, 2024)

  Kubernetes has revolutionized traditional monolithic Internet of Things (IoT) applications into lightweight, decentralized, and independent microservices, thus becoming the de facto standard in the realm of container ...

• Edge AI: A Taxonomy, Systematic Review and Future Directions 

  Gill, Sukhpal Singh; Golec, Muhammed; Hu, Jianmin; Xu, Minxian; Du, Junhui; Wu, Huaming; Walia, Guneet Kaur; Murugesan, Subramaniam Subramanian; Ali, Babar; Kumar, Mohit; Ye, Kejiang; Verma, Prabal; Kumar, Surendra; Cuadrado, Felix; Uhlig, Steve (SPRINGER, 2024)

  Edge Artificial Intelligence (AI) incorporates a network of interconnected systems and devices that receive, cache, process, and analyse data in close communication with the location where the data is captured with AI ...

• 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 ...

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