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Toplam kayıt 102, listelenen: 81-90
A Testing Method for Detecting Data Inconsistencies in Model View Controller Architecture
(IEEE, 2022)
Testing user acceptance is a complex and laborintensive task in software applications. Many methods and tools
have been proposed to detect user interface layer errors and
ensure user satisfaction. In addition, the layered ...
Hardware Acceleration of FIR Filter Implementation on ZYNQ SoC
(IEEE, 2022)
Finite impulse response (FIR) filters are widely used
in electronic design applications such as digital signal processing,
image processing and digital communications. The demand for
high performance is increasing ...
A Comparison of Different Loss Computations in Siamese Networks for Authorship Verification
(Springer, 2023)
In this study, we consider the author verification problem as a binary
classification problem where the aim is to identify whether the two inputs belong to
the same author or not. For this task, we have used several ...
A Methodology to Consider Explicitly Emissions in Dynamic User Equilibrium Assignment
(Springer, 2022)
This work presents a methodology to obtain Dynamic User Equilibrium (DUE) over a road network considering the exhausted gas effect of motorized
traffic. On purpose, three emission models are integrated to the traffic ...
Sensitivity Analysis for a Cooperative Adaptive Cruise Control Car Following Model: Preliminary Findings
(Springer, 2022)
Microscopic traffic simulations are powerful tools to evaluate transportation systems. For a simulation model to represent reality at a satisfactory
level, models require calibration. Calibration implies that inputs to ...
A New Prediction-Based Algorithm for Dynamic Multi-objective Optimization Problems
(Springer, 2023)
The mechanism for reacting to the changes in an environ-
ment when detected is the key issue that distinguishes various algorithms
proposed for dynamic multi-objective optimization problems (DMOPs).
The severity of ...
Real-Time Hardware Acceleration of Low Precision Quantized Custom Neural Network Model on ZYNQ SoC
(IEEE, 2023)
Achieving a lower memory footprint and reduced
computational density in neural network models requires the use
of low-precision models. However, existing techniques typically
rely on floating-point arithmetic to preserve ...
BaDENAS: Retina Damar Segmentasyonu için Bayes Tabanlı Sinir Mimarisi Arama
(IEEE, 2023)
Retinal damar segmentasyonu, retinal görüntülerin analizi için önemli bir görevdir ve göz hastalıklarının teşhisinde ve tedavisinde kullanılan etkili bir araçtır. Damar segmentasyonunu otomatik hale getiren U-Net gibi derin ...
Hücre Canlılığı Tespitinde Yapay Öğrenme Yaklaşımları
(IEEE, 2023)
Hücre canlılığı, kök hücre tedavileri, kanser tedavileri, estetik ve kozmetik gibi klinik araştırmalarda önemli yer tutmaktadır. Doğru tedavi ve yaklaşımın uygulanabilmesi için alınan örnekteki toplam hücre canlılık oranı ...
Scheduling of Mobile Charging Stations for Fair Electric Vehicle Charging
(IEEE, 2023)
The escalating demand for electric vehicles
(EVs) has underscored the necessity for devising and
implementing innovative EV charging techniques, rendering it
a pressing concern. In this investigation, we put forward ...