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Toplam kayıt 44, listelenen: 31-40
EXTRACTING PRNU NOISE FROM H.264 CODED VIDEOS
(IEEE COMPUTER SOC, 10662 LOS VAQUEROS CIRCLE, PO BOX 3014, LOS ALAMITOS, CA 90720-1264 USA, 2018)
Every device equipped with a digital camera has a unique identity. This phenomenon is essentially due to a systematic noise component of an imaging sensor, known as photo-response non-uniformity (PRNU) noise. An imaging ...
Lifetime Analysis of Energy Harvesting Underwater Wireless Sensor Nodes
(IEEE345 E 47TH ST, NEW YORK, NY 10017 USA, 2017)
The application of Wireless Sensor Networks (WSNs) in underwater environments poses various challenges. One of the most important problems is the limited lifetime of underwater sensor nodes. Considering how challenging and ...
Feature Selection for Protein Dihedral Angle Prediction
(IEEE345 E 47TH ST, NEW YORK, NY 10017 USA, 2017)
Three-dimensional structure prediction has crucial importance for bioinformatics and theoretical chemistry. One of the main steps of three-dimensional structure prediction is dihedral (torsion) angle prediction. As new ...
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 ...
Combining Classifiers for Protein Secondary Structure Prediction
(IEEE345 E 47TH ST, NEW YORK, NY 10017 USA, 2017)
Protein secondary structure prediction is an important step in estimating the three dimensional structure of proteins. Among the many methods developed for predicting structural properties of proteins, hybrid classifiers ...
Analysis of Battery-Powered Sensor Node Lifetime for Smart Grid Applications
(IEEE345 E 47TH ST, NEW YORK, NY 10017 USA, 2016)
Wireless Sensor Networks (WSNs) enable smart grids where sensor nodes monitor and control the important parameters of power grid components. However, energy-aware communication protocols should be developed to extend network ...
Machine Learning based Beamwidth Adaptation for mmWave Vehicular Communications
(Institute of Electrical and Electronics Engineers Inc., 2023)
The incorporation of mmWave technology
in vehicular networks has unlocked a realm of possibilities, propelling the advancement of autonomous vehicles,
enhancing interconnectedness, and facilitating communication for ...
The Effect of Different Classifiers on Recursive Cluster Elimination in the Analysis of Transcriptomic Data
(Institute of Electrical and Electronics Engineers Inc., 2023)
Gene expression data with limited sample size and
a large number of genes are frequently encountered in genetic
studies. In such high-dimensional data, identification of genes
that distinguish between disease states is ...
Man-hour Prediction for Complex Industrial Products
(Institute of Electrical and Electronics Engineers Inc., 2023)
Accurately predicting the cost is crucial for the
success of complex industrial projects. There can be several
sources contributing to the cost. Traditional methods for cost
estimation may not provide the required ...
Effect of Recursive Cluster Elimination with Different Clustering Algorithms Applied to Gene Expression Data
(Institute of Electrical and Electronics Engineers Inc., 2023)
Feature selection (FS) is an effective tool in
dealing with high dimensionality and reducing computational
cost. Support Vector Machines – Recursive Cluster Elimination
(SVM-RCE) is one of several algorithms that have ...