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Toplam kayıt 57, listelenen: 21-30
Hyper-Parameter Selection in Convolutional Neural Networks Using Microcanonical Optimization Algorithm
(The Institute of Electrical and Electronics Engineers, 2020)
The success of Convolutional Neural Networks is highly dependent on the selected architecture
and the hyper-parameters. The need for the automatic design of the networks is especially important
for complex architectures ...
An Improved Bees Algorithm for Training Deep Recurrent Networks for Sentiment Classification
(MDPI, 2021)
Recurrent neural networks (RNNs) are powerful tools for learning information from
temporal sequences. Designing an optimum deep RNN is difficult due to configuration and training
issues, such as vanishing and exploding ...
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 ...
Iterative Enhanced Multivariance Products Representation for Effective Compression of Hyperspectral Images
(IEEE, November 2)
Effective compression of hyperspectral (HS) images
is essential due to their large data volume. Since these images are
high dimensional, processing them is also another challenging
issue. In this work, an efficient lossy ...
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 ...
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 ...
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 ...