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1
Artykuł dostępny w postaci pełnego tekstu - kliknij by otworzyć plik
Content available

Weighted accuracy algorithmic approach in counteracting fake news and disinformation

100%
Bonsu K. O.
Economic and Regional Studies
|
2021
|
tom 14
|
nr 1
2

Bank product advisory system applying case-based reasoning method

100%
Kluza A., Jablonowski S.
Electronic Journal of Polish Agricultural Universities. Series Economics
|
2005
|
tom 08
|
nr 1
Case-Base Reasoning (CBR) method utilizes a base of implicit knowledge, included in stored cases. The analytical subset of CBR applications covers factual advisory systems, mentioned in the paper. A presented bank product advanced search engine build by authors is contained in this class also. Banking product extension is a source of widespread information and advertisement, but many Internet portals have deficient search engines comparing to complexity of bank product selection task. Advantages of described application are setting personal preferences and weights, which can be used to delimit personal preferences. Real world data of 142 bank accounts of 27 Polish banks are used as records in the case base. CBR method includes variety of result adaptation scenarios. Presented actual searches with adaptation of results show how to apply this phase of retrieval.
3
Artykuł dostępny w postaci pełnego tekstu - kliknij by otworzyć plik
Content available

Usage of the graph clustering algorithm to the recognition of geotechnical layers

86%
Rabarijoely S., Bilski P., Falkowski T.
Annals of Warsaw University of Life Sciences - SGGW. Land Reclamation
|
2007
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nr 38
57-67
The aim of the paper is to present the approach to the application of the graph clustering algorithm to the recognition of geotechnical layers from the dilatometer tests. Results of the measurements obtained from the DMT test in the test site (subsoil of one of the buildings in the Warsaw University of Life Sciences campus) were analyzed by the clustering algorithm which was able to extract the separate groups of the measurements, representing identical soil type. This method is parameterized, so its verifi cation by the geotechnical experts was necessary to determine the optimal parameter values. They lead to the determination of the soil types as close to the actual situation, as possible. Also, the output of the algorithm was analyzed by the geotechnical experts to identify and label the extracted soil types.
4
Artykuł dostępny w postaci pełnego tekstu - kliknij by otworzyć plik
Content available

The use of Big Data in healthcare: lessons for developing countries from Uzbekistan

86%
Vikhrov I., Abdurakhimov Z., Ashirbaev S.
Health Problems of Civilization
|
2021
|
tom 15
|
nr 2
The use of Big Data (BD) in medicine is fundamental for the development of digital healthcare, including the implementation of smart medicine and artificial intelligence (AI) technologies. Proper organization of BD is necessary for the creation and training of AI algorithms, and for AI to work with great efficiency and accuracy. In this review, the existing models for creating and storing BD sets are described, and the numerous opportunities provided to the healthcare system by the effective use of these tools are outlined. The BD phenomenon is especially important for the developing countries, which can use the example of already completed projects and achievements in the field of BD to more effectively implement such technologies in their own countries. However, there are still some problems with the implementation of BD technologies in practical healthcare of the developing countries. One of the fundamental issues is the financial cost of developing, implementing and maintaining a system for collecting, storing and using BD, including the cost of highly qualified personnel, and expensive equipment and network infrastructure that needs to be regularly updated. Another problem is the confidentiality and security of data in healthcare.
5
Artykuł dostępny w postaci pełnego tekstu - kliknij by otworzyć plik
Content available

Vulnerability assessment of Southern coastal areas of Iran to sea level rise: evaluation of climate change impact

72%
Goharnejad H., Shamsai A., Hosseini S. A.
Oceanologia
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2013
|
tom 55
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nr 3
6
Artykuł dostępny w postaci pełnego tekstu - kliknij by otworzyć plik
Content available

Application of artificial intelligence methods to the study and analysis of the causes of employee turnover at enterprises

72%
Ryazantseva N.
Teka Komisji Motoryzacji i Energetyki Rolnictwa
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2014
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tom 14
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nr 2
7

Knowledge representation for diagnostic expert systems

72%
Kusz A., Marciniak A. W.
Annual Review of Agricultural Engineering
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1996
|
tom 01
8

Intelligent fusion of navigational data

72%
Lisaj A., Chafan M. M. A.
Polish Journal of Environmental Studies
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2005
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tom 14
|
nr Suppl.1
The following paper presents an innovative concept of multisensor navigational data fusion. It illustrates a few various possibilities of applying a solution to the problem of navigational information managing in reference to some ship equipment which receive a set of data from many sources. The right verification of the Information will enable safety in vessel maneuvering and will ease the whole sea transport process to the watch officer.
9

Artificial neural networks in air pollution prediction - importance of input variables

72%
Rogula W., Zelinski J.
Archiwum Ochrony Środowiska
|
2005
|
tom 31
|
nr 2
10

Artificial intelligence and primary prevention of health hazards related to changes of elements in the environment

72%
Tadeusiewicz R., Dobrowolski J. W.
Polish Journal of Environmental Studies
|
2004
|
tom 13
|
nr 3
Some methods of artificial intelligence are evaluated in relation to development of medical elementology and primary prevention of health hazards related to antropogenic changes in the natural environment and the human food chain, diet, etc. Searching for a new paradigm of the cross-disciplinary system approach to nutritional prevention of excess or deficiency of some elements is very time- and cost-consuming task. Using artificial intelligence methods we obtained interesting conclusions on the basis of apparently fully exploited experimental data. Artificial intelligence (data mining and automatic knowledge discovering in particular) seems to be useful for developing interdisciplinary studies on medical elementology focused on application of scientific and technical progress for early detection of environmental health hazards related to excess or deficiency of selected elements in the natural environment, trophic chains and endoecological aspects (referring to possible inbalance of the basic homeostatic system). This cooperation was initiated by the foundating members of the International Union of Elementologists in New Delhi in 1983 and developed by a series of case studies, international conferences and monographs. Integration of studies in ecotoxicology, human ecology, environmental health with application of progress in informatics and environmental biotechnology is promising for more effective protection of health of consumers connected with changes of elements in the human diet and body (including primary prevention of some diseases of civilization).
11

Toward the application of AI methods in marine SAR operations

72%
Bednarczyk M., Piotrowski M., Pyrchla J.
Polish Journal of Environmental Studies
|
2005
|
tom 14
|
nr Suppl.1
It is argued that there is the need as well as resources necessary to provide support for the SAR planning and execution process based on Artificial Intelligence methods. In particular, an idea to use evolutionary programming to generate sub-optimal search planning patterns is presented.
12

AI (artificial intelligence) in histopathology – from image analysis to automated diagnosis

58%
Kayser K., Gortler J., Bogovac M., Bogovac A., Goldmann T., Vollmer E., Kayser G.
Folia Histochemica et Cytobiologica
|
2009
|
tom 47
|
nr 3
13

Advanced statistical methods as a new tool for data analysis in food and nutrition science

58%
Darewicz M., Dziuba J.
Acta Scientiarum Polonorum. Technologia Alimentaria
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2005
|
tom 04
|
nr 1
17-25
The paper presents a review of literature databases, paying special attention to the use of advanced statistical method as a tool for data analysis in food and nutrition science. Two bibliographic databases, i.e. CAB and FSTA, were searched thoroughly in the study. A dynamic increase in the number of publications based on artificial intelligence studies was observed. A large body of investigations is devoted to the problems of food quality assurance and food authenticity control.
14

Najnowsze trendy i zmiany paradygmatów w branży patologii cyfrowej

58%
Zuraw A.
Weterynaria w Praktyce
|
2020
|
tom 17
|
nr 04
15

Estoński Timbeter rozszerza działalność

58%
Biuletyn Informacyjny Ośrodka Badawczo-Rozwojowego Przemysłu Płyt Drewnopochodnych w Czarnej Wodzie
|
2020
|
tom 61
|
nr 1-2
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