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Toplam kayıt 59, listelenen: 31-40
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 ...
Classification of Covid-19 X-ray Images Using Tridiagonal Matrix Enhanced Multivariance Products Representation (TMEMPR)
(Institute of Electrical and Electronics Engineers Inc., 2021)
Medical images are crucial data sources for diseases
that can not be diagnosed easily. X-rays, one of the medical
images, have high resolution. Processing high-resolution images
leads to a few problems such as difficulties ...
An Adaptive Feature Extraction Method for Classification of Covid-19 X-Ray Images
(Springer Science and Business Media Deutschland GmbH, 2022)
This study aims to detect Covid-19 disease in the fastest and most accurate way from X-ray images by developing a new
feature extraction method and deep learning model . Partitioned Tridiagonal Enhanced Multivariance ...
Bi-criteria Simulated Annealing for the Curriculum-based Course Timetabling Problem With Robustness Approximation
(Springer, 2022)
In the process of developing a university’s weekly course timetable, changes in the data, such as the available time periods
of professors or rooms, render the timetable infeasible, requiring the administrators to repair ...
A Deep Learning Based Android Malware Detection System with Static Analysis
(Institute of Electrical and Electronics Engineers Inc., 2022)
In recent years, smart mobile devices have become
indispensable due to the availability of office applications, the
Internet, game applications, vehicle guidance or similar most of
our daily lives applications in addition ...
Enhancing Nearest Centroid with Coverage Principle for Classification Problem
(Institute of Electrical and Electronics Engineers Inc., 2021)
Motivated by the network coverage of the
trans- mitter, this research proposes a novel coverage-based
method to improve the Nearest Centroid’s class prediction by
replacing the centroid with radius coverage as the ...
Maximizing Coverage and Maintaining Connectivity in WSN and Decentralized Iot: An Efficient Metaheuristic-Based Method for Environment-Aware Node Deployment
(Springer, 2022)
The node deployment problem is a non-deterministic polynomial time (NP-hard). This study proposes a new and efficient
method to solve this problem without the need for predefined circumstances about the environments ...
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 ...
DeepCAN: A Modular Deep Learning System for Automated Cell Counting and Viability Analysis
(IEEE, 2022)
Precise and quick monitoring of key cytometric features such as cell count, cell size, cell morphology,
and DNA content is crucial for applications in biotechnology, medical sciences, and cell culture research. Traditionally, ...
Empirical Comparison of Heuristic Optimisation Methods for Automated Car Setup
(Sprınger, 2022)
Tuning a race car to improve its performance by adopting an effective
setup is crucial and an extremely challenging task. The Open Racing Car Simulator,
referred to as TORCS, is a well-known simulator in which a race car ...