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Toplam kayıt 73, listelenen: 21-30
Search Space Sampling by Simulated Annealing for Identifying Robust Solutions in Course Timetabling
(Institute of Electrical and Electronics Engineers Inc., 2020)
For many combinatorial optimization problems, it
is important to identify solutions that can be repaired without
degrading solution quality in case changes in the data associated
with the constraints make the initial ...
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 ...
EEG Sinyallerinin Sınıflandırılmasında Evrimsel Öznitelik Seçim Metotlarının Kullanılması
(Marmara Üniversitesi, 2021)
Elektroensefalografi beyindeki elektriksel akımın ölçülmesi ile elde edilen sinyallerdir. Bu sinyallerin sınıflandırılması özellikle beyin sinyalleri ile ilgili rahatsızlıkların teşhis, tanı ve tedavisine katkı sağladığı ...
MS-TR: A Morphologically Enriched Sentiment Treebank and Recursive Deep Models for Compositional Semantics in Turkish
(Taylor & Francis, 2021)
Recursive Deep Models have been used as powerful models to learn
compositional representations of text for many natural language processing tasks.
However, they require structured input (i.e. sentiment treebank) to encode ...
A Deep Learning Model for Automated Segmentation of Fluorescence Cell images
(IOP Publishing Ltd, 2021)
Deep learning techniques bring together key advantages in biomedical image
segmentation. They speed up the process, increase the reproducibility, and reduce the workload
in segmentation and classification. Deep learning ...
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 ...
AT-ODTSA: a Dataset of Arabic Tweets for Open Domain Targeted Sentiment Analysis
(University of Bahrain, 2022)
In the field of sentiment analysis, most of research has conducted experiments on datasets collected from Twitter for
manipulating a specific language. Little number of datasets has been collected for detecting sentiments ...
Experimental Evaluation of Meta-Heuristics for Multi-Objective Capacitated Multiple Allocation Hub Location Problem
(Elsevier, 2022)
Multi-objective capacitated multiple allocation hub location problem (MOCMAHLP) is a variation of classic
hub location problem, which deals with network design, considering both the number and the location
of the hubs ...