Search Results - "Ersoy, Okan K"
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1
Multi-scale ResNet and BiGRU automatic sleep staging based on attention mechanism
Published in PloS one (16-06-2022)“…Sleep staging is the basis of sleep evaluation and a key step in the diagnosis of sleep-related diseases. Despite being useful, the existing sleep staging…”
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2
Wide and Deep Fourier Neural Network for Hyperspectral Remote Sensing Image Classification
Published in Remote sensing (Basel, Switzerland) (01-06-2022)“…Hyperspectral remote sensing image (HSI) classification is very useful in different applications, and recently, deep learning has been applied for HSI…”
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3
Fourier Ptychography Reconstruction Based on Reweighted Amplitude Flow With Regularization by Denoising and Deep Decoder
Published in IEEE photonics journal (01-02-2023)“…Fourier ptychography (FP) is a computational imaging technique with the advantage that it can obtain large field-of-view (FOV) and high-resolution (HR)…”
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4
Dynamic Wide and Deep Neural Network for Hyperspectral Image Classification
Published in Remote sensing (Basel, Switzerland) (01-07-2021)“…Recently, deep learning has been successfully and widely used in hyperspectral image (HSI) classification. Considering the difficulty of acquiring HSIs, there…”
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5
Wide Sliding Window and Subsampling Network for Hyperspectral Image Classification
Published in Remote sensing (Basel, Switzerland) (01-04-2021)“…Recently, deep learning methods, for example, convolutional neural networks (CNNs), have achieved high performance in hyperspectral image (HSI) classification…”
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6
Space Debris Detection Using Feature Learning of Candidate Regions in Optical Image Sequences
Published in IEEE access (01-01-2020)“…Space debris detection is important in space situation awareness and space asset protection. In this paper, we propose a method to detect space debris using…”
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7
An Improved Real-Coded Genetic Algorithm Using the Heuristical Normal Distribution and Direction-Based Crossover
Published in Computational intelligence and neuroscience (2019)“…A multi-offspring improved real-coded genetic algorithm (MOIRCGA) using the heuristical normal distribution and direction-based crossover (HNDDBX) is proposed…”
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8
Improvement and Application of Chicken Swarm Optimization for Constrained Optimization
Published in IEEE access (2019)“…Aiming at the problem of slow convergence speed and ease of falling into local optimum when solving high dimensional problems, this paper proposes an improved…”
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9
Advancing the PROSPECT-5 Model to Simulate the Spectral Reflectance of Copper-Stressed Leaves
Published in Remote sensing (Basel, Switzerland) (01-11-2017)“…This paper proposes a modified model based on the PROSPECT-5 model to simulate the spectral reflectance of copper-stressed leaves. Compared with PROSPECT-5,…”
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10
Scalable Wide Neural Network: A Parallel, Incremental Learning Model Using Splitting Iterative Least Squares
Published in IEEE access (2021)“…With the rapid development of research on machine learning models, especially deep learning, more and more endeavors have been made on designing new learning…”
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11
Parallel Multistage Wide Neural Network
Published in IEEE transaction on neural networks and learning systems (01-08-2023)“…Deep learning networks have achieved great success in many areas, such as in large-scale image processing. They usually need large computing resources and time…”
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12
Fault detection in dynamic plant-wide process by multi-block slow feature analysis and support vector data description
Published in ISA transactions (01-02-2019)“…This study describes a dynamic large-scale process fault detection algorithm based on multi-block slow feature analysis by taking advantages of both…”
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13
Classifier Ensembles with the Extended Space Forest
Published in IEEE transactions on knowledge and data engineering (01-03-2014)“…The extended space forest is a new method for decision tree construction in which training is done with input vectors including all the original features and…”
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14
Variational Discriminative Stacked Auto-Encoder: Feature Representation Using a Prelearned Discriminator, and Its Application to Industrial Process Monitoring
Published in IEEE transaction on neural networks and learning systems (14-08-2024)“…In deep-learning-based process monitoring, obtaining an effective feature representation is a critical step in constructing a reliable deep-learning monitoring…”
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15
Remote Sensing Image Captioning With Sequential Attention and Flexible Word Correlation
Published in IEEE geoscience and remote sensing letters (2024)“…As a successful application of machine learning in remote sensing (RS) and natural language processing, image captioning of remote-sensing images has been…”
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16
Zoning Search With Adaptive Resource Allocating Method for Balanced and Imbalanced Multimodal Multi-Objective Optimization
Published in IEEE/CAA journal of automatica sinica (01-06-2021)“…Maintaining population diversity is an important task in the multimodal multi-objective optimization. Although the zoning search (ZS) can improve the diversity…”
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17
Slow feature analysis based on online feature reordering and feature selection for dynamic chemical process monitoring
Published in Chemometrics and intelligent laboratory systems (15-10-2017)“…This study considers the insufficiency of traditional monitoring methods to eliminate dynamics, and proposes a novel online feature reordering- and feature…”
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18
Phase retrieval based on difference map and deep neural networks
Published in Journal of modern optics (28-11-2021)“…Phase retrieval occurs in many research areas. There are some classical phase retrieval methods such as hybrid input-output (HIO) and difference map (DM)…”
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19
Improving near-field confinement of a bowtie aperture using surface plasmon polaritons
Published in Applied physics letters (30-05-2011)“…Bowtie aperture is known to produce subdiffraction-limited optical spot with high intensity. In this work, we investigate integrating a bowtie aperture with…”
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Modeling and optimizing a vendor managed replenishment system using machine learning and genetic algorithms
Published in European journal of operational research (01-07-2007)“…Using a supply chain network, we demonstrate the feasibility, viability, and robustness of applying machine learning and genetic algorithms to respectively…”
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