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Toplam kayıt 13, listelenen: 1-10
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 ...
Neural Architecture Search Using Metaheuristics for Automated Cell Segmentation
(Springer, 2023)
Deep neural networks give successful results for segmentation of medical images. The need for optimizing many hyper-parameters
presents itself as a significant limitation hampering the effectiveness of
deep neural network ...
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 ...
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 ...
Energy Management Strategy for a Microgrid Including All-in-One Electric Vehicle Station, Renewable Energy and Demand Response
(IEEE, 2023)
Energy consumption in residential areas and
transportation sector constitutes an important part of the global
energy demand. Moreover, a large part of these energy demands
is met from fossil resources. Recently, microgrid ...
What to predict from Twitter Data?
(IEEE, 2023)
In the last decade, Twitter data has become one
of the most valuable research sources for many areas including
health, marketing, security, and politics. Researchers prefer
Twitter data since it is completely public and ...
A Unified Framework for Multi-Language Sentiment Analysis
(IEEE, 2023)
The unified framework for multi-language
sentiment analysis is a vital aspect of understanding customer
opinions, emotions, and feedback. This paper presents a unified
framework to increase the performance of the ...
Classification of Fruit Images as Fresh and Rotten Using Convolutional Neural Networks
(IEEE, 2023)
Many fruits are produced all over the world, and the fruits produced are sent abroad and sold in a relatively short time in many countries. During the period between collection and sale, the fruits may undergo various types ...
Detecting Code Smell with a Deep Learning System
(IEEE, 2023)
Code smell detection is one of the most significant
issues in the software industry. Metric-based static code analysis
tools are used to detect undesirable coding practices known as
code smells and guide refactoring ...