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Publications - 6374

Artificial Intelligence-Based Colorectal Polyp Histology Prediction by Using Narrow-Band Image-Magnifying Colonoscopy

Istvan Racz Henriett Regoczi Noemi Kranitz András Horváth Gyongyi Kiss Zoltán Horváth

Publication Name: Clinical Endoscopy

Publication Date: 2022-01-01

Volume: 55

Issue: 1

Page Range: 113-121

Description:

Background/Aims: We have been developing artificial intelligence based polyp histology prediction (AIPHP) method to classify Narrow Band Imaging (NBI) magnifying colonoscopy images to predict the hyperplastic or neoplastic histology of polyps. Our aim was to analyze the accuracy of AIPHP and narrow-band imaging international colorectal endoscopic (NICE) classification based histology predictions and also to compare the results of the two methods. Methods: We studied 373 colorectal polyp samples taken by polypectomy from 279 patients. The documented NBI still images were analyzed by the AIPHP method and by the NICE classification parallel. The AIPHP software was created by machine learning method. The software measures five geometrical and color features on the endoscopic image. Results: The accuracy of AIPHP was 86.6% (323/373) in total of polyps. We compared the AIPHP accuracy results for diminutive and non-diminutive polyps (82.1% vs. 92.2%; p=0.0032). The accuracy of the hyperplastic histology prediction was significantly better by NICE compared to AIPHP method both in the diminutive polyps (n=207) (95.2% vs. 82.1%) (p<0.001) and also in all evaluated polyps (n=373) (97.1% vs. 86.6%) (p<0.001) Conclusions: Our artificial intelligence based polyp histology prediction software could predict histology with high accuracy only in the large size polyp subgroup.

Open Access: Yes

DOI: 10.5946/ce.2021.149

Fuzzy rulebase parameter determination for stabilized KH interpolation based detection of colorectal polyps on colonoscopy images

Ferenc Lilik Brigita Sziova Raneem Ismail Laszlo T. Koczy Szilvia Nagy

Publication Name: IEEE International Conference on Fuzzy Systems

Publication Date: 2020-07-01

Volume: 2020-July

Issue: Unknown

Page Range: Unknown

Description:

In the case of computer aided diagnosis it is advantageous to apply such computational intelligence methods, that can be related to direct measured data by means easily understandable to medical experts. Fuzzy reasoning, if the rulebase is generated from plausible statistical parameters of the image to be analysed, is easy to understand thus can be easily accepted by the society.In the case of colorectal polyps, which might develop into colorectal cancer, thus the population-wide screening would be advisable, more methods are available, but none of them is accepted as standard and effective method. A method based on simple statistical parameters and entropies of image segments is presented, and the effect of determining the rulebase parameters on the efficiency of finding the polyp segment is studied for stabilized Koczy-Hirota rule interpolation.

Open Access: Yes

DOI: 10.1109/FUZZ48607.2020.9177839

Hausdorff dimension of univoque sets

Gábor Kallos

Publication Name: Acta Cybernetica

Publication Date: 1999-01-01

Volume: 14

Issue: 2

Page Range: 303-314

Description:

In this paper we present the results obtained so far for the determination of the Hausdorff dimension of the univoque set, in number systems with base number greater than 1. The investigation is based on the methods presented in [1] and [2]. We illustrate the theoretical results with interesting examples.

Open Access: Yes

DOI: DOI not available

Review and conceptual design of FPGA-based application for data-driven power electronic systems

Adrienn Dineva Adam Zsuga

Publication Name: 2021 17th Conference on Electrical Machines Drives and Power Systems Elma 2021 Proceedings

Publication Date: 2021-07-01

Volume: Unknown

Issue: Unknown

Page Range: Unknown

Description:

AI-based data-driven methods are an emerging research direction in the field of power electronics. However, because of the absence of large datasets, the development of these solutions have some barriers to overcome. To properly train machine learning algorithms and neural networks a large amount of training data is necessary. This dataset can be a union of simulation and measured data. Generating simulation data with computer simulations can be slow process and gathering real data is not cost-effective. Real-Time simulators based on FPGAs can be powerful tools to accelerate simulation, and create datasets for AI applications in a cost-effective and accurate way. In this paper the possible FPGA-based solutions, which can be applicable for the problems, have been reviewed. Their applicability have been discussed, moreover a simplified FPGA-based concept have been designed and embedded into two possible AI-based application area.

Open Access: Yes

DOI: 10.1109/ELMA52514.2021.9503033

Stiffness Ratio Evaluation of Steel Exoskeletons Through Performance-Based Optimal Design

Marco Domaneschi Majid Movahedi Rad Raffaele Cucuzza Giuseppe Carlo Marano Jana Olivo Giuseppe Andrea Ferro

Publication Name: Advances in Transdisciplinary Engineering

Publication Date: 2024-01-01

Volume: 59

Issue: Unknown

Page Range: 438-445

Description:

Among the various seismic retrofitting techniques, steel exoskeletons are distinguished by their non-invasive nature. However, only a few consolidated methodologies have been proposed for their design. The approach of several standard codes is based on the classification of elements according to their relative stiffness. In this way, a ratio between the stiffness of the exoskeletons and that of the building is taken as the main design parameter. In this study, a performancebased design approach was employed, with the inter-story drift of the building as the performance target. A sensitivity analysis was conducted to assess the impact of different inter-story drift thresholds on the structural behavior of the buildingexoskeleton system. For each threshold, an optimization process was conducted to identify the optimal number of exoskeletons, their placement around the building, and the dimensions of their elements. Finally, the stiffness ratios were determined for each optimal configuration and were compared to the threshold provided by the regulations. This comparison yielded interesting insights into the differences in the approaches.

Open Access: Yes

DOI: 10.3233/ATDE240577

RELATIONSHIP BETWEEN DYNAMIC CAPABILITY VIEW AND ORGANIZATIONAL RESILIENCE: FINDINGS FROM A SYMMETRIC APPROACH

Laszlo Vasa Ali Shojaee

Publication Name: Problems and Perspectives in Management

Publication Date: 2024-01-01

Volume: 22

Issue: 4

Page Range: 671-682

Description:

The COVID-19 outbreak has underscored the importance of strengthening an organization’s resilience and adaptive capability. In emerging and uncertain conditions, firms must adopt new capabilities to develop and survive unstable and unforeseen crises. The purpose of this study is to examine the difference between organizational resilience and the antecedents that are validated using a quantitative survey. The respondents consist of 157 top employees from 21 private service firms at the managerial level in Bangladesh. The proposed relationship is measured using the partial least squares structural equation modeling (PLS-SEM), a symmetric approach, using SmartPLS 4 software. The findings help to produce the path coefficient with organizational resilience that can lead to sustainable environments in highly turbulent conditions. The PLS-SEM analysis indicates that the antecedents of flexibility, agility, and redundancy have a strong and meaningful association with organizational resilience in response to disruptions. Therefore, this paper shows evidence that the measurement scales more effectively account for uncertainty in achieving resilience, supporting the role of the dynamic capability view.

Open Access: Yes

DOI: 10.21511/ppm.22(4).2024.51

Light-blooded, blood-fumed and blood-rich: Cultural conceptualizations of vér 'blood' in Hungarian

Judit Baranyiné Kóczy

Publication Name: Language Heart and Mind Studies at the Intersection of Emotion and Cognition

Publication Date: 2020-06-29

Volume: Unknown

Issue: Unknown

Page Range: 139-160

Description:

One of the key issues of recent linguistic trends is to understand the interface between language, culture and human body. The study of the figurative usage of body part and bodily fluid terms unveils cross-cultural specificities of how they are applied to various aspects of life. Anthropologist Victor Turner considers 'blood' a dominant ritual symbol, which highlights its abundant symbolism in Western and non-Western traditions. Employing a Cultural Linguistic framework, the research proposes the basic cultural conceptualizations of vér 'blood' in the Hungarian language, based on phrases that have been collected from various dictionaries and complemented by data extracted from the Hungarian National Corpus. According to the findings, the underlying conceptualizations include death/fight, kinship, human nature, life force, emotion and intensity, where expressions that convey the meaning of intensity derive from more than one conceptualization. It is further pointed out that numerous phrases are culturally constructed and related to cultural beliefs, events and rites such as blood-brotherhood (vérszerzodés 'blood-contract'), duels (elso vérig 'until first blood'), the Medieval theory of four humours (bovérd 'plentiful-blooded'), or the folk belief related to vampires (vérét szívja 'suck his blood').

Open Access: Yes

DOI: DOI not available

Numerical analysis of MHD ternary nanofluid flow with heat transfer in porous convergent/divergent channel

Subhan Ullah Dragan Pamucar Muhammad Asif Dolat Khan Zeeshan Ali Mati Ur Rahman Mati Ur Rahman Mohsin Ul Haq

Publication Name: Journal of Thermal Analysis and Calorimetry

Publication Date: 2025-11-01

Volume: 150

Issue: 23

Page Range: 19481-19489

Description:

In this research, we investigate the flow of ternary nanofluids under the influence of magnetic field in converging/diverging channel. The fluid assumed to be viscous, incompressible, and electrically conducting. The effect of Lorentz force on fluid motion is systematically examined. For practical applications, stretching and shrinking channel are considered. Using similarity transformation, the governing partial differential equations (PDEs) are reduced to ordinary differential equations (ODEs), which are then solved numerically with the ND-Solve technique. This method effectively handles the highly nonlinear equations and provides accurate results. The velocity and temperature profiles are presented graphically for various physical parameters, while skin friction and Nusselt number are analyzed. The results reveal that an increase in the magnetic parameter reduces the fluid velocity and enhances the temperature in both convergent/divergent channels. Furthermore, ternary nanofluids exhibit a stronger impact compared to nano and hybrid nanofluids.

Open Access: Yes

DOI: 10.1007/s10973-025-14935-w

Keeping an eye on body parts: Cultural conceptualizations of the 'eye' in Hungarian

Judit Baranyiné Kóczy

Publication Name: Cognitive Linguistic Studies in Cultural Contexts

Publication Date: 2020-01-01

Volume: 12

Issue: Unknown

Page Range: 215-245

Description:

The notion of embodiment refers to the bodily basis of human perceptions about the environment, and also structures our conceptual system (Gibbs 2005; Johnson 1987). This is most evidently manifested in the conceptualizations of body parts and organs and their metaphorical extension to various target domains, illustrated by the metaphor of understanding/knowing is seeing, which was considered by Lakoff and Johnson (1980, 1999) and Sweetser (1990) being universally prevalent. This claim was supported by a range of cross-linguistic studies in English (Alm-Arvius 1993; Danesi 1990; Ibarretxe-Antuñano 1999, 2002; Sweetser 1990; Viberg 2008; Yu 2008), but also debated by others (Evans and Wilkins 2000; Sharifian 2011), pointing to the fact that the conceptual links between perceptual modalities and abstract domains are grounded in cultural models (Kövecses 2000; Sharifian et al. 2008; Yu 2008), hence they can be regarded as cultural conceptualizations (Sharifian 2017). In line with the cross-linguistic research on the metaphorical mappings of vision, the present chapter aims at unveiling the conceptualizations of Hungarian szem 'eye', in order to test whether the expressions that derive from it primarily represent the eye as the seat of thinking/knowing/understanding. According to the results, it is argued that beside the conceptualizations of perception, emotion and interpersonal power, the understanding is seeing metaphor is present in the Hungarian expressions. However, conceptualizations of the eye in Hungarian are also connected to cultural values. For example, some expressions such as szemfedél 'eye-cover', szemmel verés 'beating with the eyes' and szemfényvesztés 'deception, subtleness' are based on cultural schemas. The chapter further demonstrates that, as part of conceptualization, some spatial orientations attached to the eye may take on certain evaluations, as exemplified in the case of szeme közé 'into between his eyes' and its dominantly negative attribution. In this way, the chapter is a contribution to prove the interface between body, language and culture.

Open Access: Yes

DOI: 10.1075/clscc.12.c10koc