Browsing Bilgisayar Mühendisliği Bölümü Koleksiyonu by Title
Now showing items 156-165 of 165
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Text area detection in digital documents images using textural features
(Springer, 2007)In this paper we propose a new texture-based method for extraction of text areas in a complex document image. Gabor filter motivated by the multi-channel filtering approach of Human Visual System (HVS) has been employed ... -
Three-fast-searchable graphs
(Elsevier Science Bv, 2013)In the edge searching problem searchers move from vertex to vertex in a graph to capture an invisible fast intruder that may occupy either vertices or edges. Fast searching is a monotonic internal model in which at every ... -
Threshold-based Steganography: A Novel Technique for Improved Payload and SNR
(Zarka Private Univ, 2016)Steganography is the art of hiding user information in various file types including image audio and video. Security of steganography lies in imperceptibility of secret information in the cover image. Human Visual System ... -
Towards energy-efficient MAC protocols
(International Institute of Informatics and Systemics IIIS, 2014)During the past two decades the ICT (Information and Communication Technology) has become an integral part of our lives with exponentially increasing user interest and the vast number of applications being developed and ... -
Traffic shaping schemes for improving QoS in data networks
(2012)As the typical characteristics of traffic in data networks are bursty which is difficult to handle traffic shaping schemes are used for regulating the average rate and hurstiness of a flow of data that enters into the ... -
Transmitter source location estimation using crowd data
(Pergamon-Elsevier Science Ltd, 2018)The problem of transmitter source localization in a dense urban area has been investigated where a supervised learning approach utilizing neural networks has been adopted. The cellular phone network cells and signals have ... -
Unsupervised Anomaly Detection in Multivariate Spatio-Temporal Data Using Deep Learning: Early Detection of COVID-19 Outbreak in Italy
(Ieee-Inst Electrıcal Electronıcs Engıneers Inc, 2020)Unsupervised anomaly detection for spatio-temporal data has extensive use in a wide variety of applications such as earth science, traffic monitoring, fraud and disease outbreak detection. Most real-world time series data ... -
Unsupervised Anomaly Detection in Multivariate Spatio-Temporal Datasets Using Deep Learning
(Springer, 2020)Techniques used for spatio-temporal anomaly detection in an unsupervised settings has attracted great attention in recent years. It has extensive use in a wide variety of applications such as: medical diagnosis, sensor ... -
Using machine learning classifiers to identify the critical proteins in Down syndrome
(Association for Computing Machinery, 2018)Pharmacotherapies of intellectual disability (ID) are largely unknown as the abnormalities at the complex molecular level which causes ID are difficult to understand. Down syndrome (DS) which is the prevalent cause of ID ... -
Zero-crossing based demodulation of minimum shift keying
(2003)Minimum shift keying (MSK) modulation has features such as constant envelope compact spectrum and good error performance which are all desirable in many digital applications including mobile radio. Numerous receiver ...