Başlık için Bilgisayar Mühendisliği Bölümü Koleksiyonu listeleme
Toplam kayıt 251, listelenen: 201-220
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QERP: Quality-of-Service (QoS) Aware Evolutionary Routing Protocol for Underwater Wireless Sensor Networks
(IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC, 445 HOES LANE, PISCATAWAY, NJ 08855-4141 USA, 2018)Quality-of-service (QoS) aware reliable data delivery is a challenging issue in underwater wireless sensor networks (UWSNs). This is clue to impairments of the acoustic transmission caused by excessive noise, extremely ... -
A QoS provisioning architecture of fiber wireless network based on XGPON and IEEE 802.11ac
(De Gruyter Open Ltd, 2021)The integration of the XGPON network with the 5G WLAN network is a suitable solution for next-generation high-speed access Internet service. We demonstrated the integration of two different standards via the QoS concept. ... -
QoS-Aware Downlink Scheduling Algorithm for LTE Networks: A Case Study on Edge Users
(IEEE345 E 47TH ST, NEW YORK, NY 10017 USA, 2017)4G/LTE (Long Term Evolution) is the state of the art wireless mobile broadband technology. It makes use of the OFDM technology to offer high speed and provides the system resources both in time and frequency domain. A ... -
QoS-Aware MAC protocols utilizing sectored antenna for wireless sensor networks-based smart grid applications
(WILEY111 RIVER ST, HOBOKEN 07030-5774, NJ, 2017)Wireless sensor networks (WSNs) are the most commonly deployed technology in smart grid environments owing to their advantages including low cost and successful adoption in various harsh smart grid environments. However, ... -
QoSRP: A Cross-Layer QoS Channel-Aware Routing Protocol for the Internet of Underwater Acoustic Sensor Networks
(MDPI, ST ALBAN-ANLAGE 66, CH-4052 BASEL, SWITZERLAND, 2019)Quality of service (QoS)-aware data gathering in static-channel based underwater wireless sensor networks (UWSNs) is severely limited due to location and time-dependent acoustic channel communication characteristics. This ... -
Quality-of-service differentiation in single-path and multi-path routing for wireless sensor network-based smart grid applications
(ELSEVIER, 2014)Electrical grid is one of the most important infrastructure of the modern nation. However, power grid has been aged over 100 years and prone to major failures. The imbalance between power demand and supply, the equipment ... -
Recent Advances in Machine Learning for Network Automation in the O-RAN
(MDPI, 2023)The evolution of network technologies has witnessed a paradigm shift toward open and intelligent networks, with the Open Radio Access Network (O-RAN) architecture emerging as a promising solution. O-RAN introduces ... -
Recursive Cluster Elimination based Rank Function (SVM-RCE-R) implemented in KNIME
(F1000 Research, 2020)In our earlier study, we proposed a novel feature selection approach, Recursive Cluster Elimination with Support Vector Machines (SVM-RCE) and implemented this approach in Matlab. Interest in this approach has grown over ... -
The relationship between PAPP-A levels, maternal characteristics, gestational diabetes and other biochemical markers of the aneuploidy screening
(IEEE, 345 E 47TH ST, NEW YORK, NY 10017 USA, 2018)First trimester aneuploidy screening is routinely used in pregnancy follow-ups. In this screening, free /l-hCG and pregnancy-associated plasma protein A (PAPP-A) levels in the blood of the pregnant woman arc measured. The ... -
A reliable and secure multi-path routing strategy for underwater acoustic sensor networks
(ELSEVIER, 2022)Underwater Acoustic Sensor Networks (UASNs) have nowadays become an attractive topic in scientific studies and commercial applications. An important challenge in UASN’s design is the limited network lifetime and ... -
Review of feature selection approaches based on grouping of features
(PeerJ Inc., 2023)With the rapid development in technology, large amounts of high-dimensional data have been generated. This high dimensionality including redundancy and irrelevancy poses a great challenge in data analysis and decision ... -
A review of on-device machine learning for IoT: An energy perspective
(ELSEVIER, 2024)Recently, there has been a substantial interest in on-device Machine Learning (ML) models to provide intelligence for the Internet of Things (IoT) applications such as image classification, human activity recognition, ... -
Routing protocol design guidelines for smart grid environments
(ELSEVIER, 2014)The evaluation of the current electric power grid with novel communication facilities is one of the most challenging and exciting issues of the 21st century. The modern grid technology is called the smart grid in the sense ... -
A runtime heuristic to selectively replicate tasks for application-specific reliability targets
(IEEE, 345 E 47TH ST, NEW YORK, NY 10017 USA, 2016)n this paper we propose a runtime-based selective task replication technique for task-parallel high performance computing applications. Our selective task replication technique is automatic and does not require ... -
Sample Reduction Strategies for Protein Secondary Structure Prediction
(MDPI, ST ALBAN-ANLAGE 66, CH-4052 BASEL, SWITZERLAND, 2019)Predicting the secondary structure from protein sequence plays a crucial role in estimating the 3D structure, which has applications in drug design and in understanding the function of proteins. As new genes and proteins ... -
Seamless Mobile Data Offloading in Heterogeneous Wireless Networks based on IEEE 802.21 and User Experience
(IEEE, 2014)The increase on smartphone usage has brought the burden of data traffic with it. Operators are looking for cost-effective solutions to overcome the problem of 3G infrastructure for high contention traffic scenarios. Several ... -
A Searching and Automatic Video Tagging Tool for Events of Interest during Volleyball Training Sessions
(ASSOC COMPUTING MACHINERY, 1515 BROADWAY, NEW YORK, NY 10036-9998 USA, 2019)Quick and easy access to performance data during matches and training sessions is important for both players and coaches. While there are many video tagging systems available, these systems require manual effort. This paper ... -
Sentiment Analizinde Öznitelik Düşürme Yöntemlerinin Oto Kodlayıcılı Derin Öğrenme Makinaları ile Karşılaştırılması
(Gazi Üniversitesi, 2017)-- Günümüz teknolojisinde internetin her kesim tarafından çok yoğun olarak kullanılmasından dolayı insanlar artık görüş, fikir ve hislerini sosyal paylaşım siteleri, forum, blog benzeri birçok ortam aracılığı ile paylaşmaya ... -
Short Term Electricity Load Forecasting: A Case Study of Electric Utility Market in Turkey
(IEEE, 2015)With the recent developments in energy sector, the pricing of electricity is now governed by the spot market where a variety of market mechanisms are effective. After the new legislation of market liberalization in Turkey, ...