Zobrazeno 1 - 10
of 48
pro vyhledávání: '"Novruz Allahverdi"'
Publikováno v:
Volume: 6, Issue: 1 54-62
Turkish Journal of Engineering
Turkish Journal of Engineering
This study investigates determining the gender of calves using some artificial intelligence (AI) techniques. Gender identification is important in animal breeding, focusing on the desired outcome and planning. The data used to determine the gender of
Autor:
Novruz Allahverdi, Büşra Uzun
Publikováno v:
Volume: 9, Issue: 3 79-84
International Journal of Applied Mathematics Electronics and Computers
International Journal of Applied Mathematics Electronics and Computers
Milk, which has a very important place in human nutrition, can be harmful in terms of human health when it is not produced, stored, processed, and necessary controls are performed under hygienic conditions. Even if raw milk contains a small number of
Publikováno v:
IEEE Journal of Biomedical and Health Informatics. 24:1344-1350
Goal: Chronic obstructive pulmonary disease (COPD) is one of the deadliest diseases in the world. Because COPD is an incurable disease and requires considerable time to be diagnosed even by an experienced specialist, it becomes important to provide a
Autor:
Novruz Allahverdi
Publikováno v:
2019 3rd International Symposium on Multidisciplinary Studies and Innovative Technologies (ISMSIT).
Purpose of this work is briefly explaining the techniques of Artificial Intelligence (AI) and to give some examples of applications fuzzy expert systems (FES) in medical areas. These examples include determining of diseases risk such prostate cancer,
Publikováno v:
Computer Methods and Programs in Biomedicine. 137:23-34
WOS: 000386750300004
28110727
Congestive heart failure (CHF) is a degree of cardiac disease occurring as a result of the heart's inability to pump enough blood for the human body. In recent studies, coronary artery disease (CAD) is accepted
28110727
Congestive heart failure (CHF) is a degree of cardiac disease occurring as a result of the heart's inability to pump enough blood for the human body. In recent studies, coronary artery disease (CAD) is accepted
1st International Conference on Computer Applications and Information Security, ICCAIS 2018 -- 4 April 2018 through 6 April 2018 -- -- 138933
Deep Belief Networks (DBN) is a deep learning algorithm that has both greedy layer-wise unsupervised an
Deep Belief Networks (DBN) is a deep learning algorithm that has both greedy layer-wise unsupervised an
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::d9cf62bd7c17b83a62eaf43742d19c54
https://hdl.handle.net/20.500.12508/473
https://hdl.handle.net/20.500.12508/473
Publikováno v:
International Journal of Intelligent Systems and Applications in Engineering; 2016: Special Issue; 222-228
Volume: 4, Issue: Special Issue-1 222-228
International Journal of Intelligent Systems and Applications in Engineering
Volume: 4, Issue: Special Issue-1 222-228
International Journal of Intelligent Systems and Applications in Engineering
An electrocardiogram (ECG) is a biomedical signal type that determines the normality and abnormality of heart beats using the electrical activity of the heart and has a great importance for cardiac disorders. The computer-aided analysis of biomedical
Publikováno v:
Expert Systems with Applications. 38:7415-7418
Research highlights? Decision-making is a difficult and quite responsible task for doctors. Some of the computer decision models assisted the doctor with some computer decision models. In this study, Takagi-Sugeno type neuro-fuzzy network has been de
Autor:
Novruz Allahverdi, Murat Albayrak
Publikováno v:
Expert Systems with Applications. 38:1313-1320
In this study, a new mutation operator has been developed to increase Genetic Algorithm (GA) performance to find the shortest distance in the known Traveling Salesman Problem (TSP). We called this method as Greedy Sub Tour Mutation (GSTM). There exis
Autor:
Humar Kahramanli, Novruz Allahverdi
Publikováno v:
Expert Systems with Applications. 36:10494-10502
Although Artificial Neural Network (ANN) usually reaches high classification accuracy, the obtained results in most cases may be incomprehensible. This fact is causing a serious problem in data mining applications. The rules that are derived from ANN