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Toplam kayıt 11, listelenen: 1-10
A Robust Iris Segmentation Algorithm Based on Pupil Region for Visible Wavelength Environments
(Institute of Electrical and Electronics Engineers (IEEE), 2020)
In the last decade, the research on iris biometric
has received increasing attention. Most of this research targets
the iris recognition scenarios in constrained or controlled
conditions, where considering the unconstrained ...
Fast Iris Segmentation Algorithm for Visible Wavelength Images Based on Multi-color Space
(Springer, 2020)
Iris recognition for eye images acquired in visible wavelength
is receiving increasing attention. In visible wavelength environments,
there are many factors that may cover or affect the iris region which
makes the iris ...
Detecting Suspicious Activities of Digital Trolls During the Political Crisis
(IEEE, 2020)
With the huge widespread and usage of social media
in our life, it becomes an effective tool to share our feeling,
opinions and even our political orientations when there is civil
unrest or protests. As a result, there ...
Iris Segmentation in Uncooperative and Unconstrained Environments: State-of-the-art, Datasets and Future Research Directions
(Elsevier, 2021)
Most of the classical iris recognition systems require cooperation from users and assume ideal conditions during iris image acquisition. In uncooperative and unconstrained environments, the performance of these classical ...
Memory-Assisted Dynamic Multi-Objective Evolutionary Algorithm for Feature Drift Problem
(IEEE, 2020)
In this paper, we propose an enhanced feature
selection algorithm able to cope with feature drift problem
that may occur in data streams, where the set of relevant
features change over time. We utilize a dynamic ...
A Fast Algorithm for Hunting State-Backed Twitter Trolls
(Springer, 2022)
In recent years, state-backed troll accounts have been adopted extensively
by many political parties, organizations, and governments to negatively influence
political systems, persecute perceived opponents, and exacerbate ...
Dynamic Multi-Objective Evolutionary Algorithms in Noisy Environments
(Elsevier, 2023)
Real-world multi-objective optimization problems encounter different types of uncertainty that
may affect the quality of solutions. One common type is the stochastic noise that contaminates
the objective functions. Another ...
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 ...
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 ...