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Questing in city promotion on the example of the city of Częstochowa [PDF]

Innovative Marketing, 2018
Gamification, storytelling and questing are the latest discoveries of marketing that are used for customers’ attraction. The implementation of new methods for promoting the city of Częstochowa is a vital aspect in tourism development.
Agnieszka Widawska-Stanisz
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Evaluation and Comparison of Automatic Brain Segmentation Methods Based On the Gold Standard Method [PDF]

Iranian Journal of Medical Physics, 2023
Introduction: Accurate segmentation of brain tissue in magnetic resonance imaging (MRI) is an important step in the analysis of brain images. There are automated methods used to segmentation the brain and minimize the disadvantages of manual segmentation,
Seyed Amir Zamanpour, Zohreh Ganji, Bahareh Bigham, Fariba Zemorshidi, Hoda Zare   +4 more
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Three-dimensional Point Cloud Model Segmentation Based on Significance and Weak Convexity [PDF]

Jisuanji gongcheng, 2018
The existing three-dimensional point cloud model segmentation algorithms cannot segment large components and small components at the same time.Aiming at this problem,in this paper,a segmentation method is proposed based on the significance and weak ...
ZHENG Lele,HAN Huiyan,HAN Xie
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Uncertainty is not sufficient for identifying noisy labels in training data for binary segmentation of building footprints

Frontiers in Remote Sensing, 2023
Obtaining high quality labels is a major challenge for the application of deep neural networks in the remote sensing domain. A common way of acquiring labels is the usage of crowd sourcing which can provide much needed training data sets but also often ...
Hannah Ulman, Jonas Gütter, Julia Niebling   +2 more
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Adversarial-based latent space alignment network for left atrial appendage segmentation in transesophageal echocardiography images

Frontiers in Cardiovascular Medicine, 2023
Left atrial appendage (LAA) is a leading cause of atrial fibrillation and thrombosis in cardiovascular disease. Clinicians can rely on LAA occlusion (LAAO) to effectively prevent and treat ischaemic strokes attributed to the LAA. The correct selection of
Xueli Zhu, Shengmin Zhang, Huaying Hao, Yitian Zhao   +3 more
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The housing market in Serbia – Segmentation, arbitrage and overvaluation [PDF]

Economic Horizons
The paper discusses market trends and analyzes the regularities that appear on the Serbian national housing market and regional submarkets. It is assumed that, apart from the common market driving forces, the market for newly constructed houses and the ...
The housing market in Serbia – Segmentation, arbitrage and overvaluation, Ognjen Radović, Jelena Radojičić   +2 more
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Computer Vision Algorithm for the detection of fracture cracks in Oil Hardening Non-Shrinking (OHNS) die steel after machining process

Fracture and Structural Integrity, 2023
A variant of neural network for processing with images is a convolutional neural network (CNN). This type of neural network receives input from an image and extracts features from the image while also providing learnable parameters to effectively do the ...
Akshansh Mishra, Vijaykumar S. Jatti, Nitin K. Khedkar, Rahul B. Dhabale, Ashwini V. Jatti   +4 more
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Deep learning-based segmentation of brain parenchyma and ventricular system in CT scans in the presence of anomalies

Frontiers in Neuroimaging, 2023
IntroductionThe automatic segmentation of brain parenchyma and cerebrospinal fluid-filled spaces such as the ventricular system is the first step for quantitative and qualitative analysis of brain CT data.
Annika Gerken, Sina Walluscheck, Peter Kohlmann, Ivana Galinovic, Kersten Villringer, Jochen B. Fiebach, Jan Klein, Stefan Heldmann   +7 more
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Melodic segmentation: structure, cognition, algorithms

Musicologica Brunensia, 2017
Segmentation of melodies into smaller units (phrases, themes, motifs, etc.) is an important process in both music analysis and music cognition. Also, segmentation is a necessary preprocessing step for various tasks in music information retrieval. Several
Zuzana Cenkerová
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DCSLK: Combined large kernel shared convolutional model with dynamic channel Sampling

NeuroImage
This study centers around the competition between Convolutional Neural Networks (CNNs) with large convolutional kernels and Vision Transformers in the domain of computer vision, delving deeply into the issues pertaining to parameters and computational ...
Zongren Li, Shuping Luo, Hongwei Li, Yanbin Li   +3 more
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