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Found 6278 publications

On Metrics Used in Colonoscopy Image Processing for Detection of Colorectal Polyps

Raneem Ismail Szilvia Nagy

Publication Name: Smart Innovation Systems and Technologies

Publication Date: 2021-01-01

Volume: 216

Issue: Unknown

Page Range: 137-151

Description:

Colorectal cancer is nowadays the fourth cause of cancer death worldwide. Prevention of colorectal cancer by detection and removal of early stage lesions is of essential importance and has become a public health challenge worldwide. As the screening is carried out mainly by some sort of endoscope, and the endoscopic image processing is an important area of research and development, it is essential to know what kind of measures are used in determining whether polyp finding hit rates or miss rates are acceptable. It is rather natural to match the hit rate measures to the method itself; thus, in this contribution, the most typical polyp detecting methods are summarized shortly together with the metrics they use for evaluation of their results. However, in computer-aided diagnostics, the measure that is used by the medical community might differ from the measures typical in image processing researches. Also, the output of such polyp detecting methods is tested as inputs for active contour methods.

Open Access: Yes

DOI: 10.1007/978-981-33-4676-5_10

Periodicity in radix systems with base 3

Attila Kovács Izabella Ingrid Farkas Gabor Kallos

Publication Name: Publicationes Mathematicae Debrecen

Publication Date: 2025-01-01

Volume: 106

Issue: 3-4

Page Range: 475-489

Description:

In this paper, we examine the base 3 number expansions in the ring of integers with digits {0, a, −b}, a, b ∈ N and a ≡ b (mod 3). Among others, we show that for arbitrary natural numbers n and k, there is a system where n has a periodic expansion with length k. We specify an infinite number of radix systems for a given valid signature.

Open Access: Yes

DOI: 10.5486/PMD.2025.10042

Direct Writing of Quasi-Sinusoidal and Blazed Surface Relief Optical Transmission Gratings in Bi12GeO20, Er: LiNbO3 and Er: Fe: LiNbO3 Crystals by Nitrogen Ion Microbeams of 5 MeV and 10.5 MeV Energy

Gyula Nagy István Bányász György Kármán Ágnes Nagyné Szokol István Rajta Vladimir Havránek István Bányász Robert Magnusson Maria Cinta Pujol

Publication Name: Sensors

Publication Date: 2025-02-01

Volume: 25

Issue: 3

Page Range: Unknown

Description:

High diffraction efficiency optical transmission gratings with quasi-sinusoidal and saw-tooth surface relief profiles were fabricated in Bi12GeO20, Er: LiNbO3 and Er: Fe: LiNbO3 crystals by ion beam implantation. The gratings were directly written by nitrogen ion microbeams at energies of 5 MeV and 10.5 MeV. The finest grating constant was 4 μm. Grating constants for the majority of the gratings were 16 μm. The highest amplitudes of the gratings reached 1600 nm. The highest first-order diffraction efficiency obtained in a sinusoidal grating was 25%, close to the theoretical maximum of 33%. The highest first-order diffraction efficiency of a blazed grating was also 25%, without Littrow optimization. Such gratings can be incorporated into integrated optical biosensors.

Open Access: Yes

DOI: 10.3390/s25030804

Global trade of medicinal and aromatic plants. A review

Mohammad Taghi Ebadi Sahar Zamani Mehran Fathi Ákos Máthé

Publication Name: Journal of Agriculture and Food Research

Publication Date: 2025-06-01

Volume: 21

Issue: Unknown

Page Range: Unknown

Description:

Medicinal and aromatic plants (MAPs) are essential natural resources with applications in pharmaceuticals, food, cosmetics, and pesticides. With growing consumer preferences for natural products, the global trade of MAPs (HS code: 1211) has grown significantly. This study analyzed global MAP market trends using export and import data from the International Trade Center (ITC) from 2010 to 2023. During this period, global export and import values surged by 97.8 % and 98.1 %, reaching $4.18 billion and $4.25 billion, respectively, in 2023. China and India emerged as key exporters, with India achieving a 240 % growth in export value, while the United States, Germany, and Japan were leading importers due to high domestic demand and advanced processing infrastructure. HS 121190, comprising plants for perfumery, pharmacy, and pest control, accounted for over 90 % of total trade value, ranking as the 976th most traded product globally in 2022. MAPs prices vary by origin, with vanilla ($115–255.39/kg) as the most expensive and arugula ($0.12/kg) the cheapest. Certifications like WHO-GACP and GMP are critical for quality assurance, traceability, and market competitiveness. Challenges include overharvesting, habitat destruction, trade barriers, and inconsistent quality control, necessitating sustainable cultivation, advanced processing technologies, and harmonized regulations. While Asia-Pacific, led by China and India, dominates production due to biodiversity and supportive policies, Europe and North America focus on value-added re-export. This study underscores the pivotal role of MAPs in global trade. It also provides actionable insights for stakeholders to optimize strategies, embrace sustainability, and capitalize on the expanding demand for these versatile plants.

Open Access: Yes

DOI: 10.1016/j.jafr.2025.101910

Detecting New Hijacked Journals by Using a List of Known Hijacked Journals and the Diagnosis of Web Domain Data

Lóránt Dávid Raghu Raman Mehdi Dadkhah Mihály Hegedűs Marilyn H. Oermann Lóránt Dénes Dávid

Publication Name: Serials Review

Publication Date: 2024-01-01

Volume: 50

Issue: 3-4

Page Range: 91-96

Description:

Academia has faced the challenge of emerging hijacked journals, which create a fake website for a legitimate journal by copying its name, ISSN, and other metadata. Authors submitting a manuscript to a hijacked journal would not recognize that the journal website was for a hijacked journal instead of the legitimate one. There are various methods for detecting hijacked journals that are usable by information technology savvy researchers. Detected hijacked journals through use of these methods are usually then added to hijacked journals blacklists. This paper presents a new method for hijacked journals detection that uses the web domain data and list of known hijacked journals to identify new ones. By implementing this method, nine new hijacked journals were identified. This method can be used for detecting new hijacked journals and preventing additional victims–authors who submit papers to the hijacked instead of the legitimate journal.

Open Access: Yes

DOI: 10.1080/00987913.2024.2411664

The nexus of IoT and aquaculture: A bibliometric analysis

John G. Keogh Abderahman Rejeb Karim Rejeb

Publication Name: Applied Food Research

Publication Date: 2025-06-01

Volume: 5

Issue: 1

Page Range: Unknown

Description:

The Internet of Things (IoT) in aquaculture presents significant opportunities for improving the sector's productivity, sustainability, and resilience. This study aims to achieve two primary goals: to deliver an extensive overview of IoT applications in aquaculture and to pinpoint emerging trends and research gaps, thereby directing future academic endeavors in the aquaculture field. Through bibliometric analysis, which involved keyword co-occurrence and article co-citation network analyses, we investigated 428 publications from 2012 to 2024 retrieved from Scopus. The review indicates a significant rise in investigative efforts, especially in recent years, highlighting the sector's increasing focus on the role of IoT in tackling the distinct challenges aquaculture faces, including water quality monitoring, disease prevention, and resource efficiency. Prominent themes recognized encompass advanced aquaculture systems, water quality and health monitoring, and sophisticated forecasting tools. This investigation enhances the existing knowledge base by emphasizing key themes, significant studies, and essential technological advancements in IoT-enabled aquaculture, providing one of the initial bibliometric assessments in this swiftly developing field. Future research should focus on enhancing interoperability among IoT devices, improving data security and privacy, integrating artificial intelligence for predictive analytics, and expanding IoT applications to support small-scale and resource-constrained aquaculture operations.

Open Access: Yes

DOI: 10.1016/j.afres.2025.100838

Quantifying Geotechnical Uncertainty in Ground Motion Predictions: Bayesian Generalized Linear Model Framework

Clara Beatrice Vilceanu Ayele Tesema Chala Mais Mayassah Richard P. Ray

Publication Name: Advances in Civil Engineering

Publication Date: 2025-01-01

Volume: 2025

Issue: 1

Page Range: Unknown

Description:

Accurate prediction of peak ground intensity measures is inevitably influenced by geotechnical variability. Variations in soil properties, subsurface conditions, and seismic inputs introduce complexities that challenge the reliability of predictions. This study introduces a Bayesian generalized linear model (GLM) to probabilistically predict peak ground acceleration (PGA) while accounting for uncertainties associated with geotechnical variability. Latin hypercube sampling (LHS) was employed to generate synthetic datasets of key geotechnical parameters, including plasticity index, shear wave velocity, soil thickness, input motion intensity, and unit weight of soil for hypothetical sites. Subsequently, a series of one-dimensional equivalent linear (1D-EQL) seismic site response analyses were performed, and PGA value at ground surface level were recorded for each analysis. The Bayesian GLM was then developed using these comprehensive datasets to probabilistically predict PGA. The performance and reliability of the developed model were evaluated on a separate test dataset. To benchmark its performance, a Bayesian neural network (BNN) was also developed and compared. In addition, a Shiny-based graphical user interface (GUI), named Bayes-PGA-predictor, was implemented to facilitate practical application. The findings demonstrate that the Bayesian GLM offers a robust and interpretable approach to predicting PGA while effectively quantifying uncertainty associated with geotechnical variability.

Open Access: Yes

DOI: 10.1155/adce/6678669

Visualization of movie features in collaborative filtering

Bottyan Nemeth Istvan Pilaszy Gabor Takacs Domonkos Tikk

Publication Name: Somet 2013 12th IEEE International Conference on Intelligent Software Methodologies Tools and Techniques Proceedings

Publication Date: 2013-01-01

Volume: Unknown

Issue: Unknown

Page Range: 229-233

Description:

In this paper we will describe a modification of the matrix factorization (MF) algorithm which allows visualizing the user and item characteristics. When applying MF for collaborative filtering, we get a model that represents the attributes of users and items by feature vectors. Some elements of these vectors may have understandable meaning for humans but due to the lack of internal connections between the feature vectors, these are difficult to visualize. In this paper we give a detailed description of a MF method enabling better visualization of features by arranging them into a 2D map, where via the calculation of the feature values we try to position features with similar 'meaning' close to each other. To achieve this first we define a neighborhood relation on features, then we modify the MF so that we introduce a new term in the error function which penalize the difference between the neighbor features. We show that this modification slightly decrease the accuracy of the model but we get well visualized feature maps. On the feature maps meanings can be associated with regions, and so we can provide an interesting explanation for the user why he/she was recommended the movie. Such plausible explanations may result in that users will better understand how the system works, which can also increase customer loyalty towards the service provider. © 2013 IEEE.

Open Access: Yes

DOI: 10.1109/SoMeT.2013.6645674

Micro-Level Road Network Evaluation using Fuzzy Signature Rule Bases

Gergely Cs Mikulai László T. Kóczy

Publication Name: Acta Polytechnica Hungarica

Publication Date: 2022-01-01

Volume: 19

Issue: 11

Page Range: 185-205

Description:

Nowadays, due to fast-increasing economic development, the current available road infrastructure is more and more crowded, which creates frustration for the people using them. In the current research, a model is proposed for authorities, companies and individuals, to choose the best available route(s) and road sections(s) for improvement measures, optimal delivery or commuting. In the proposed model, a fuzzy signature rule base, is introduced for commuters, which distinguishes all the relevant factors during commuting. The actual decision process is based on various input data, such as peoples’ habits, assumptions and preferences and various other factors.

Open Access: Yes

DOI: 10.12700/APH.19.11.2022.11.10