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Dağ, Tamer
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Dağ, Tamer
T.,Dağ
T. Dağ
Tamer, Dağ
Dag, Tamer
T.,Dag
T. Dag
Tamer, Dag
Tamer Dağ
Da?, Tamer
T.,Dağ
T. Dağ
Tamer, Dağ
Dag, Tamer
T.,Dag
T. Dag
Tamer, Dag
Tamer Dağ
Da?, Tamer
Job Title
Doç. Dr.
Email Address
Main Affiliation
Computer Engineering
Status
Former Staff
Website
ORCID ID
Scopus Author ID
Turkish CoHE Profile ID
Google Scholar ID
WoS Researcher ID
Sustainable Development Goals
15
LIFE ON LAND
0
Research Products
16
PEACE, JUSTICE AND STRONG INSTITUTIONS
0
Research Products
14
LIFE BELOW WATER
1
Research Products
6
CLEAN WATER AND SANITATION
0
Research Products
3
GOOD HEALTH AND WELL-BEING
1
Research Products
17
PARTNERSHIPS FOR THE GOALS
0
Research Products
4
QUALITY EDUCATION
0
Research Products
2
ZERO HUNGER
0
Research Products
10
REDUCED INEQUALITIES
0
Research Products
7
AFFORDABLE AND CLEAN ENERGY
6
Research Products
13
CLIMATE ACTION
1
Research Products
1
NO POVERTY
0
Research Products
9
INDUSTRY, INNOVATION AND INFRASTRUCTURE
2
Research Products
12
RESPONSIBLE CONSUMPTION AND PRODUCTION
1
Research Products
8
DECENT WORK AND ECONOMIC GROWTH
0
Research Products
11
SUSTAINABLE CITIES AND COMMUNITIES
2
Research Products
5
GENDER EQUALITY
0
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This researcher does not have a Scopus ID.
This researcher does not have a WoS ID.
Scholarly Output
47
Articles
12
Views / Downloads
398/5324
Supervised MSc Theses
11
Supervised PhD Theses
5
WoS Citation Count
209
Scopus Citation Count
299
WoS h-index
8
Scopus h-index
9
Patents
0
Projects
0
WoS Citations per Publication
4.45
Scopus Citations per Publication
6.36
Open Access Source
31
Supervised Theses
16
Google Analytics Visitor Traffic
| Journal | Count |
|---|---|
| 29th Ieee Conference on Signal Processing and Communications Applications (Siu 2021) | 2 |
| IEEE Access | 2 |
| 2016 IEEE 3rd International Symposium on Telecommunication Technologies (ISTT) | 1 |
| 2016 IEEE International Black Sea Conference on Communications and Networking (BlackSeaCom) | 1 |
| 2019 International Conference on Sustainable Information Engineering and Technology (SIET) | 1 |
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47 results
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Now showing 1 - 10 of 47
Article Citation - Scopus: 3Predicting User Purchases From Clickstream Data: a Comparative Analysis of Clickstream Data Representations and Machine Learning Models(IEEE-Inst Electrical Electronics Engineers inc, 2025) Tokuc, A. Aylin; Dag, TamerPredicting purchase events from e-commerce clickstream data is a critical challenge with significant implications for optimizing marketing strategies and enhancing customer experience. This study addresses this challenge by systematically evaluating and comparing multiple data representations - aggregated session attributes, recent user actions, and hybrid combinations - which bridges gaps in the existing literature and demonstrates the superiority of hybrid approaches. Unlike prior research, which typically focuses on single representations, our approach combines aggregated session-level summaries with granular, sequential user actions to capture both long-term and short-term behavioral patterns. Through comprehensive experimentation, we compared multiple machine learning models, including LightGBM, decision trees, gradient boosting, SVC, and logistic regression, using real-world e-commerce clickstream data. Notably, the hybrid representation with LightGBM achieved superior predictive performance, significantly outperforming alternative methods. Feature importance analysis revealed key factors influencing purchase likelihood, such as time since the last event, session duration, and product interactions. This study provides actionable insights into real-time marketing interventions by demonstrating the practical utility of hybrid data representations and efficient tree-based models. Our findings offer a scalable and interpretable framework for e-commerce platforms to enhance purchase predictions and optimize marketing strategies.Conference Object Dynamic Priority Packet Scheduler With Deadline Considerations (dpd)(INT INST Informatics & Systemics, 2010) Dağ, TamerProviding quality of service (QoS) to applications with different traffic characteristics based on their needs is an important research area for today's and tomorrow's high speed networks. Various techniques have been proposed to achieve good QoS for diverse application types. Among these techniques packet scheduling algorithms decide on how to process packets at network nodesDoctoral Thesis A Novel Communication Method for Constrained Iot Devices(Kadir Has Üniversitesi, 2022) Kocatekin, Tuğberk; Tamer Dağ; Cafer ÇalışkanInternet of Things (IoT) is becoming an established part of life by interconnecting billions of devices in diverse areas such as healthcare, smart homes, industries, etc. However, these devices are limited in memory, energy and computational capabilities. Being constrained prevents them from applying complex cryptographic encryption algorithms which leads to lack of security and therefore lack of privacy. As a solution, we propose a novel secret sharing scheme based on underlying protocols of visual cryptography to provide a low-cost and secure communication method for constrained IoT devices. Generally, when a device wants to communicate with an outer party, it does so by itself or by using a mediary such as a central hub or gateway; which leads to single point of failure. As a solution, we propose a method where devices collaborate each other and therefore divide the responsibility into multiple, instead of one. We propose two different models: n-out-of-n and k-out-ofn. In the first model, there is a complete graph where every device is connected to each other. Instead of the original sender, every other device work collaboratively to communicate with the outer party. In the second model, the network is realized as an n-regular graph where a single node has n number of neighbors, which collaborates with each other and here the responsibility is divided into n devices. Results show that this scheme is applicable to constrained devices.Conference Object Citation - WoS: 2Citation - Scopus: 3Increasing Energy Efficiency of Wsns Through Optimization of Mobile Base Station Locations(IEEE, 2021) Abbas, Sahar S. A.; Dag, Tamer; Gucluoglu, TansalIn terms of enhancing overall energy usage, wireless sensor networks (WSNs) can run with minimal energy to extend their lifespan. Due to limited power resources, the optimal base station (BS) location could prolong the overall sensor network's lifetime. In this paper, an algorithm to find the optimal location of BS is proposed. The concept of BS virtual locations grid is used, where BS virtual locations grid within the network's area is created. To find an optimal BS location, the distances between all sensor nodes from virtual locations in the grid are considered, where one of these virtual locations will be chosen as the optimal location. Consequently, BS changes its location to another optimal location each specific number of iteration according to the number of alive sensor nodes within the network (BS mobility). The proposed algorithm is applied to the Stable Election Protocol (SEP) with two and three energy levels. Using the original SEP with two and three energy levels protocols in terms of the network's lifetime and energy consumption, the performance of the algorithm is compared. It is observed that, decreased energy consumption has been achieved, as well as the lifetime of the network has been significantly improved.Master Thesis Investigation the Risk of Autism by Evaluating Prenatal and Postnatal Exposure To Traffic-Related Air Pollution(Kadir Has Üniversitesi, 2020) Demir, Tamer; Dağ, TamerAutism spectrum disorder (ASD ) which is a group of neurodevelopmental disorder that appears during the first few years of a child's life affecting a child's communication and socialization abilities with increasing prevalence. Recently, several recent studies have found associations between exposure to traffic-related air pollution (TRAP) and ASD. The primary aim of this study is to investigate/examine the relation between TRAP and four air pollutants (NO2, O3, PM10, PM2.5) and ASD during prenatal or post-natal by using multiple logistic regression models and variable selection methods. Results show that the adjusted odds ratio (AOR) for ASD per IQR increase was strongly associated for exposure to NO2 during the first year period, was moderately associated for exposure to NO2 (from interstate highways during the third trimester; from the county highway during the first year; from city street during the first year; from all roads during the all pregnancy; from all roads during the first trimester) and O3 during the second year, and weakly associated with exposure to NO2 from interstate highways during the second trimester, O3 during the first trimester and PM2.5 during the second year. Additionally, comparing fourth to first quartile exposures the AOR was 15.47 for NO2 from interstate highways during the third trimester, was 5.00 for NO2 from all roads during the first trimester, and comparing third to first quartile exposures the AOR was 2.31 for PM2.5 during the second year. As a result, a strong relationship between NO2 exposure and ASD was detected for each 7.1 ppb [IQR] increase in NO2 during the first year and subjects exposed to a higher level of NO2 during the first and third trimester, and PM2.5 during the second year was also associated with increased risk of ASD.Conference Object Citation - WoS: 1Citation - Scopus: 4An Improved Hybrid Stable Election Routing Protocol for Large Scale Wsns(IEEE, 2021) Hamad, Lana I. S.; Dag, Tamer; Gucluoglu, TansalIn the recent years, wireless sensor networks have become prevalent in a diverse range of applications. Throughout the massive usage of wireless sensor networks, some applications require sensing and/or data collection over large areas of interest. In such applications maximizing the network lifetime thus an efficient energy consumption becomes very critical. In this paper, an improved routing protocol for large-scale WSNs based on the well-known Stable Election Protocol is proposed. With this work, the existing Stable Election Protocol is enhanced by introducing low-cost relay nodes that help to increase the lifetime and the throughput of the network. The communication between the sensor nodes and the base station is established through cluster heads and relay nodes. With the relay nodes, the simulation results show an increase in the network stability period by 34.5% and the throughput by 23%.Conference Object Max-Pivot Routing for Opportunistic Networks(2013) Dağ, TamerOpportunistic networks are challenging types of networks where network connections are imminent. Network topologies are dynamic and can rapidly change. A path between a source node and a destination node may or may not exist the network can be disconnected. This type of behavior observed under opportunistic networks makes classical networking solutions impractical. Thus traditional routing algorithms are not suitable for such networks and will not be useful. Although flooding might be seen as the best solution to reach a destination under opportunistic networks flooding solutions' extensive usage of network resources is an extreme overhead. In this paper max- pivot routing for opportunistic networks is proposed and described. With max-pivot routing it is observed that the induced network traffic is significantly reduced while still achieving the benefits of a flooding based routing. The performance comparisons of max-pivot routing and flooding based routing methods show that max-pivot routing can be a successful routing method for opportunistic networks.Master Thesis Tedarik Zinciri Yönetim Süreçlerinin Akıllı Sözleşmeler Kullanılarak Geliştirilmesi(2023) Yiğit, Eren; Dağ, TamerBu tez, Solidity dilini kullanarak Ethereum ağında akıllı sözleşmelerin uygulanması yoluyla, blok zinciri ve akıllı sözleşmeler teknolojilerinin tedarik zinciri yönetimini süreçlerini iyileştirebilme potensiyelini araştırmaktadır. Tez boyunca, tedarik zinciri yönetimi, blok zinciri, dağıtık defter teknolojisi ve akıllı sözleşmeler kavramları, tedarik zinciri süreçlerinin şeffaflığını, işlem hızının, izlenebilirlik ve hesap verilebilirliğinin arttırılması ve geliştirilmesi bağlamında incelenmiştir.Bu teknolojilerin tedarik zinciri süreçlerinde uygulanma ve potansiyel kullanım durumları araştırıldıktan sonra, tedarik zinciri yönetimi için akıllı sözleşmelerin uygulanmasına yönelik bir mimari oluşturulmuştur. Tedarik zinciri yönetimi süreçlerini iyileştiren bir akıllı sözleşme uygulamasının potansiyel veri modelleri ve fonksiyonlar tanıtılmakta ve tartışılmaktadır. Önerilen mimarinin oluşturulmasından sonra önerilen sistemin tedarik zinciri süreçleri üzerindeki etkisi açıklanmış ve bu sistemin geliştirilmesi için gelecekte yapılabilecek çalışmalar tartışılmıştır. Önerilen mimari, DLT'lerin (Dağıtık Defter Teknolojisi) kullanımı sayesinde tedarik zincirinin geçmişe ait verisinin güvenilirliğini artırmakta ve akıllı sözleşmelerin kullanımı sayesinde tedarik zincirinin yönetilebilirliğini ve izlenebilirliğini artırmaktadır. Yine de, tedarik zincirlerinin sürekli değişen ve bir çok değişkeni içerisinde barındıran doğası nedeniyle, tedarik zinciri yönetimi uygulamaları için her tedarik zincirine özel çözümler gereklidir.Master Thesis Design and Implementation of a Mobile Prescription System With Patient-Healthcare Professional Interaction(Kadir Has Üniversitesi, 2015) Öztürk, Çağdaş Egemen; Dağ, TamerIn this thesis, a mobile prescription reminder and scheduling system application with patient-healthcare professional interaction is designed and implemented. By using the application, different types of users are able to create and manage prescriptions and are reminded to take the medication based on the prescription data. Besides, users are able to reach the prospectuses of the drugs. One of the most important functionality of the application is to provide patient-healthcare professional interaction. By using the application, healthcare professionals can assign prescriptions to their patients and they can also monitor their medicine compliance. Since the medicine compliance is very important to have an effective treatment, the main goal of this application is to help people to take their medicines on time and find the prospectus information of the drugs easily by using their mobile phones.Conference Object An Energy Efficient Routing Algorithm (x-Centric Routing) for Sensor Networks(INT INST Informatics & Systemics, 2011) Ataç, Göktuğ; Dağ, TamerRecent developments in wireless communications and electronics technologies have enabled the progress in low cost sensor networks. Sensor networks differ from traditional networks in several ways such as the severe energy constraints redundant low-rate date and many-to-one flows that the sensor networks require. One of the major challenges facing the design of a routing protocol for Wireless Sensor Networks (WSNs) is to find the most reliable path between the sources and the sink node by considering the energy awareness as an essential design parameter. This paper introduces a new routing protocol called as X-Centric routing by considering the above parameters. Under the X-Centric routing the decision making mechanism depends on the capacity of the sink node by switching between address-centric routing (AC-Routing) and data-centric routing (DC-Routing). The design tradeoffs between energy and communication overhead savings in these routing algorithms have been considered by considering the advantages and performance issues of each routing algorithm.
