Search Results - "Basturk, Alper"
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A new efficient training strategy for deep neural networks by hybridization of artificial bee colony and limited–memory BFGS optimization algorithms
Published in Neurocomputing (Amsterdam) (29-11-2017)“…Working up with deep learning techniques requires profound understanding of the mechanisms underlying the optimization of the internal parameters of complex…”
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Static facial expression recognition using convolutional neural networks based on transfer learning and hyperparameter optimization
Published in Multimedia tools and applications (01-09-2020)“…Expression recognition (ER), which has been frequently used in human-computer interaction, uses visual data such as video and static images or sensor-based…”
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Metabolic Imaging Based Sub-Classification of Lung Cancer
Published in IEEE access (2020)“…Lung cancer is one of the deadliest cancer types whose 84% is non-small cell lung cancer (NSCLC). In this study, deep learning-based classification methods…”
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Deep learning for image-based detection of weeds from emergence to maturity in wheat fields
Published in Smart agricultural technology (01-12-2024)“…Effective weed control in wheat (Triticum aestivum L.) fields is crucial for optimizing production and ensuring food security in semi-arid regions. The…”
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Transfer learning-based convolutional neural networks with heuristic optimization for hand gesture recognition
Published in Neural computing & applications (01-12-2019)“…Human action recognition (HAR) has a considerable place in scientific studies. Additionally, hand gesture recognition, which is a subcategory of HAR, plays an…”
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A comprehensive review of deep learning in colon cancer
Published in Computers in biology and medicine (01-11-2020)“…Deep learning has emerged as a leading machine learning tool in object detection and has attracted attention with its achievements in progressing medical image…”
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Human action recognition with deep learning and structural optimization using a hybrid heuristic algorithm
Published in Cluster computing (01-12-2020)“…Human action recognition (HAR) is a popular subject for academic society and other stakeholders. Nowadays it has a wide-spread use for lots of practical…”
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Performance Improvement Of Pre-trained Convolutional Neural Networks For Action Recognition
Published in Computer journal (01-11-2021)“…Abstract Action recognition is a challenging task. Deep learning models have been investigated to solve this problem. Setting up a new neural network model is…”
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Performance analysis of the coarse-grained parallel model of the artificial bee colony algorithm
Published in Information sciences (20-12-2013)“…Despite the efficiency of evolutionary algorithms is prominent for large scale problems, their running times in terms of CPU time are quite large. Multi…”
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Robust real-time polyp detection system design based on YOLO algorithms by optimizing activation functions and hyper-parameters with artificial bee colony (ABC)
Published in Expert systems with applications (01-07-2023)“…Colorectal cancer (CRC) is one of the most common cancer types with a high mortality rate. Colonoscopy is considered the gold standard in CRC screening, it…”
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An efficient real-time colonic polyp detection with YOLO algorithms trained by using negative samples and large datasets
Published in Computers in biology and medicine (01-02-2022)“…Colorectal cancer (CRC) is one of the common types of cancer with a high mortality rate. Colonoscopy is the gold standard for CRC screening and significantly…”
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High Performance Fuzzy Systems for Real World Problems
Published in Advances in fuzzy systems (01-01-2012)Get full text
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A new hybrid optimization method combining artificial bee colony and limited-memory BFGS algorithms for efficient numerical optimization
Published in Applied soft computing (01-09-2018)“…•A hybrid optimization method is presented, combines the benefits of L-BFGS and ABC.•The proposed method can improve the quality of searching ability of the…”
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Hyper-parameter optimization of deep learning architectures using artificial bee colony (ABC) algorithm for high performance real-time automatic colorectal cancer (CRC) polyp detection
Published in Applied intelligence (Dordrecht, Netherlands) (01-06-2023)“…Colorectal cancer (CRC) is one of the most common and malignant types of cancer worldwide. Colonoscopy, considered the gold standard for CRC screening, allows…”
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How to Affect the Number of Images on the Success Rate for Detection of Weeds with Deep Learning
Published in Turkish journal of agriculture : food science and technology (01-08-2022)“…The detection of weeds with computer vision without the help of an expert is important for scientific studies and other purposes. The images used for the…”
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Parallel Implementation of Synchronous Type Artificial Bee Colony Algorithm for Global Optimization
Published in Journal of optimization theory and applications (01-12-2012)“…Evolutionary algorithms often need huge running times when solving large-scale optimization problems. One of the solutions for this issue is to introduce…”
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Impulse Noise Removal From Digital Images by a Detail-Preserving Filter Based on Type-2 Fuzzy Logic
Published in IEEE transactions on fuzzy systems (01-08-2008)“…A novel image filter based on type-2 fuzzy logic techniques is proposed for detail-preserving restoration of digital images corrupted by impulse noise. The…”
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Artificial bee colony optimization for modelling of indoor PLC channels: A case study from Turkey
Published in Electric power systems research (01-10-2015)“…•A PLC channel model is proposed based on electrical grids of Turkey.•Experimental measurements are realized in different cities and various indoor places.•PLC…”
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