Başlık için Bilgisayar Mühendisliği Bölümü Koleksiyonu listeleme
Toplam kayıt 251, listelenen: 233-251
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A Survey of Dynamic Bandwidth Assignment Schemes for TDM-Based Passive Optical Network
(De Gruyter Open Ltd, 2020)In time division, multiple access (TDMA)-based passive optical network (PONs), a dynamic bandwidth assignment (DBA) is necessary for efficient utilization of the available bandwidth of the upstream link. An efficient DBA ... -
A Survey on Comparison of Face Recognition Algorithms
(IEEE, 2014)The identification of a face from a video or image source is a study of computer vision know as face detection or recognition. Face detection and recognition becomes popular in recent years by the development of computing ... -
A survey on deployment techniques, localization algorithms, and research challenges for underwater acoustic sensor networks
(WILEY111 RIVER ST, HOBOKEN 07030-5774, NJvv, 2017)In recent years, wireless sensor networks (WSNs) have attracted the attention of both the research community and the industry, and this has eventually lead to the widespread use of WSNs in various applications. The significant ... -
A survey on information security threats and solutions for Machine to Machine (M2M) communications
(ACADEMIC PRESS INC ELSEVIER SCIENCE, 525 B ST, STE 1900, SAN DIEGO, CA 92101-4495 USA, 2017)Although Machine to Machine (M2M) networks allow the development of new promising applications, the restricted resources of machines and devices in the M2M networks bring several constraints including energy, bandwidth, ... -
A survey on packet size optimization for terrestrial, underwater, underground, and body area sensor networks
(WILEY, 111 RIVER ST, HOBOKEN 07030-5774, NJ USA, 2018)Packet size optimization is a critical issue in wireless sensor networks (WSNs) for improving many performance metrics (eg, network lifetime, delay, throughput, and reliability). In WSNs, longer packets may experience ... -
SVM-RCE-R-OPT: Optimization of Scoring Function for SVM-RCE-R
(SPRINGER INTERNATIONAL PUBLISHING AGGEWERBESTRASSE 11, CHAM, CH-6330, SWITZERLAND, 2021)Gene expression data classification provides a challenge in classification due to it having high dimensionality and a relatively small sample size. Different feature selection approaches have been used to overcome this ... -
SYNE1 related cerebellar ataxia presents with variable phenotypes in a consanguineous family from Turkey
(SPRINGER-VERLAG ITALIA SRLVIA DECEMBRIO, 28, MILAN 20137, ITALY, 2017)SYNE1 related autosomal recessive cerebellar ataxia type 1 (ARCA1) is a late-onset cerebellar ataxia with slow progression originally demonstrated in French-Canadian populations of Quebec, Canada. Nevertheless, recent ... -
Template Scoring Methods for Protein Torsion Angle Prediction
(SPRINGER, 2015)Prediction of backbone torsion angles provides important constraints about the 3D structure of a protein and is receiving a growing interest in the structure prediction community. In this paper, we introduce a three-stage ... -
TextNetTopics Pro, a topic model-based text classification for short text by integration of semantic and document-topic distribution information
(FRONTIERS MEDIA SA, 2023)With the exponential growth in the daily publication of scientific articles, automatic classification and categorization can assist in assigning articles to a predefined category. Article titles are concise descriptions ... -
A toolbox of machine learning software to support microbiome analysis
(Frontiers Media SA, 2023)The human microbiome has become an area of intense research due to its potential impact on human health. However, the analysis and interpretation of this data have proven to be challenging due to its complexity and ... -
A Top-Down Approach for Finding Affected Pathway Subnetworks in Type 2 Diabetes
(IEEE, 2020)Diyabet (Diabetes Mellitus, DM), insülin üreten pankreas beta hücrelerindeki fonksiyon bozukluğu, insülin direnci veya insülinin işlevselliğinin bozulması ile meydana gelen bir tür metabolik bozukluktur. Diyabet vakalarının ... -
Topological feature generation for link prediction in biological networks
(PEERJ INC, 2023)Graph or network embedding is a powerful method for extracting missing or potential information from interactions between nodes in biological networks. Graph embedding methods learn representations of nodes and interactions ... -
Traffic-Adaptive Inter Wavelength Load Balancing for TWDM PON
(IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC, 445 HOES LANE, PISCATAWAY, NJ 08855-4141 USA, 2020)This study presents a dynamic inter wavelength migration scheme for the optical network units (ONUs) employing linear regression machine learning method to equalize the traffic volume on all the wavelengths in time and ... -
A Transfer Learning Application on the Reliability of Psychological Drugs' Comments
(Institute of Electrical and Electronics Engineers Inc., 2023)As digitalization and the Internet stay emerging concepts by gaining popularity, the accuracy of personal reviews/opinions will be a critical issue. This circumstance also particularly applies to patients taking psychological ... -
Transmitter Localization in Vessel-Like Diffusive Channels Using Ring-Shaped Molecular Receivers
(IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC, 445 HOES LANE, PISCATAWAY, NJ 08855-4141 USA, 2018)Molecular communication via diffusion in vessellike environment targets critical applications such as the detection of abnormal and unhealthy cells. In this letter, we derive the analytical formulation of the channel model ... -
Wireless MEMS for smart grids
(WOODHEAD PUBL LTDABINGTON HALL ABINGTON, CAMBRIDGE CB1 6AH, CAMBS, ENGLAND, 2017)Different from the past, nowadays, consumers demand more flexibility and control in managing their electricity use and are aware of the impacts of the electricity system on the environment. Due to this change in the use ... -
Wireless sensor network-based communication for cooperative simultaneous localization and mapping
(PERGAMON-ELSEVIER SCIENCE LTD, 2015)This paper presents a novel approach of using a Wireless Sensor Network (WSN) as the communication means for Multi-Robot, Cooperative, Simultaneous Localization and Mapping (CSLAM) applications investigating the associated ... -
YSA KULLANILARAK MAMOGRAMLARDAN DOKUSAL ÖZNİTELİK TABANLI MEME KANSERİ İLGİ BÖLGESİ SINIFLANDIRILMASI
(TÜBİTAK ULAKBİM Ulusal Akademik Ağ ve Bilgi Merkezi Cahit Arf Bilgi Merkezi, 2020)Radyoloji uzmanlarının mamografi görüntülerine bakarak yaptığı meme kanseri teşhislerinde tip bir hata oranı yüzde otuzlara kadar çıkmaktadır. Kanserin teşhis başarısını artırmak adına bu çalışmada uzmanlara yardımcı olacak ... -
Zenginleştirilmiş Öznitelikler ve Makine Öğrenmesi Yöntemleriyle Protein Yerel Yapı Tahmini
(TUBİTAK, 2017)Projenin amacı proteinlerde bulunan ikincil yapı, dihedral açı ve çözücü erişilirlik gibi bir boyutlu yapısal özelliklerin başarılı olarak tahmin edilmesi ve bu tahminleri kullanarak parçacık seçimi yapan yeni bir yöntem ...
