Browsing Araştırma Çıktıları | TR-Dizin | WoS | Scopus | PubMed by Department "BTÜ, Mühendislik ve Doğa Bilimleri Fakültesi, Bilgisayar Mühendisliği Bölümü"
Now showing items 1-20 of 28
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Automatically Discovering Relevant Images From Web Pages
(Ieee-Inst Electrical Electronics Engineers Inc, 2020)Web pages contain irrelevant images along with relevant images. The classification of these images is an error-prone process due to the number of design variations of web pages. Using multiple web pages provides additional ... -
A cepstrum analysis-based classification method for hand movement surface EMG signals
(Springer Heidelberg, 2019)It is of great importance to effectively process and interpret surface electromyogram (sEMG) signals to actuate a robotic and prosthetic exoskeleton hand needed by hand amputees. In this paper, we have proposed a cepstrum ... -
Classification of Turkish Universities by quantity and titles of Academic Staff
(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, ... -
Clustered mobile data collection in WSNs: An energy-delay trade-off
(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 ... -
Deployment Algorithms to Simulate Large-scale Node Failures in Wireless Sensor Networks
(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 ... -
An effective approach for breast cancer diagnosis based on routine blood analysis features
(Springer Heidelberg, 2020)Breast cancer is a widespread disease and one of the primary causes of cancer mortality among women all over the world. Computer-aided methods are used to assist medical doctors to make early diagnosis of the disease. The ... -
An Electronic Control Unit for Erythrocyte Sedimentation Rate Test Device
(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 ... -
Energy load forecasting using a dual-stage attention-based recurrent neural network
(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 Firewall Policy Anomaly Detection Framework for Reliable Network Security
(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 ... -
Improving Initial Flattening of Convex-Shaped Free-Form Mesh Surface Patches Using a Dynamic Virtual Boundary
(C R L Publishing Ltd, 2019)This study proposes an efficient algorithm for improving flattening result of triangular mesh surface patches having a convex shape. The proposed approach, based on barycentric mapping technique, incorporates a dynamic ... -
Intrinsic evaluation of word embeddings for Turkish
(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 ... -
The Investigation of the Success of Different Machine Learning Methods in Breast Cancer Diagnosis
(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 ... -
Meme Kanseri Teşhisi İçin Yeni Bir Skor Füzyon Yaklaşımı
(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 ... -
A New Approach to Minimize Memory Requirements of Frequent Subgraph Mining Algorithms
(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. ... -
A New Approach to Simulating Node Deployment for Smart City Applications Using Geospatial Data
(Ieee, 2019)The rapid urbanization combined with the continuing growth of the world's overall population entails efficient provisioning of services and infrastructure in the cities. Some of the challenges of this gradual shift can be ... -
A new parallel processing architecture for accelerating image encryption based on chaos
(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 ... -
Novel Approach to Minimize the Memory Requirements of Frequent Subgraph Mining Techniques
(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 ... -
A Novel Shortest Path Routing Algorithm for Wireless Data Collection in Transportation Networks
(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 ... -
Partition-aware centrality measures for connectivity restoration in mobile sensor networks
(Inderscience Enterprises Ltd, 2019)Mobile sensor networks (MSNs) often operate unattended in environments where human intervention is limited. To sustain network operations, network connectivity must be maintained at all times. However, the network can be ... -
The Performance Comparison of Gene Co-expression Networks of Breast and Prostate Cancer using Different Selection Criteria
(Springer Science and Business Media Deutschland GmbH, 2021)Gene co-expression networks (GCN) present undirected relations between genes to understand molecular structures behind the diseases, including cancer. The utilization of various biological datasets and gene network inference ...
