Zobrazeno 1 - 10
of 821
pro vyhledávání: '"Classification techniques"'
Publikováno v:
Acta Informatica Pragensia, Vol 13, Iss 2, Pp 308-326 (2024)
Breast cancer, a pervasive global health concern, necessitates early detection for an improved prognosis. Mammography, a pivotal screening tool, faces challenges in interpretation, motivating the integration of advanced computational models. This pap
Externí odkaz:
https://doaj.org/article/a7e94b132fd8479fabef7e05c10b160e
Autor:
Chidiebere Nwaneto, Chika Yiinka-Banjo, Ogban-Asuquo Ugot, Thompson Annor, Obiageli Umeugochukwu
Publikováno v:
Smart Agricultural Technology, Vol 9, Iss , Pp 100636- (2024)
Taro, a vital crop in West Africa, is under attack by a disease called Taro Leaf Blight, which is bad news for the economy and farmer since it severely affects their income. Our study tackles the tough parts of spotting plant diseases, like the need
Externí odkaz:
https://doaj.org/article/06dc52dfdf4540ed954afe618ec11664
Autor:
Divya R. Unnithan, J. R. Jeba
Publikováno v:
Automatika, Vol 65, Iss 3, Pp 763-777 (2024)
Telemedicine systems are gaining popularity due to their ability to provide remote medical services. These systems produce a lot of data, which may be used for a variety of purposes, including quality improvement, decision-making, and predictive anal
Externí odkaz:
https://doaj.org/article/703ccda612de4b0393cf9809ea433dca
Autor:
Radwa Elshawi, Sherif Sakr, Mouaz H. Al-Mallah, Steven J. Keteyian, Clinton A. Brawner, Jonathan K. Ehrman
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-10 (2024)
Abstract Accurately predicting patients' risk for specific medical outcomes is paramount for effective healthcare management and personalized medicine. While a substantial body of literature addresses the prediction of diverse medical conditions, exi
Externí odkaz:
https://doaj.org/article/bb047328836b4f9a805515a3d451355d
Autor:
Jonah Mushava, Michael Murray
Publikováno v:
Data in Brief, Vol 54, Iss , Pp 110262- (2024)
This data article curates datasets from Freddie Mac's Single-Family Loan-Level Dataset (SFLLD) quarterly snapshots. The SFLLD tracks loan originations in the USA along with the ensuing repayment trends. This live dataset undergoes quarterly updates.
Externí odkaz:
https://doaj.org/article/a730d4bda82d4251a6f2c1cc421db137
Autor:
Hanan A. Taher, Adnan M. Abdulazeez
Publikováno v:
International Journal of Research and Applied Technology, Vol 3, Iss 2, Pp 267-282 (2023)
This paper presents a comprehensive review of the application of machine learning algorithms in the early detection of heart disease. Heart disease remains a leading global health concern, necessitating efficient and accurate diagnostic methods. Mach
Externí odkaz:
https://doaj.org/article/2dd494ff30a546c1bd343fcf7df37da9
Autor:
Akaolisa Casmir Chukwuemeka, Agbasi Okechukwu Ebuka, Etuk Sunday Edet, Adewumi Rowland, Okoli Emeka Austin
Publikováno v:
Journal of Landscape Ecology, Vol 16, Iss 2, Pp 98-113 (2023)
Analysis of the impacts of real estate development on biodiversity within the confines of Imo State, Nigeria, was the main objective of this study. The investigation included a look at how land use and land cover (LULC) changed between 2017 and 2022.
Externí odkaz:
https://doaj.org/article/86e48434005e4ccca1e50c658e94e9b4
Publikováno v:
PeerJ Computer Science, Vol 10, p e1966 (2024)
The automatic speech identification in Arabic tweets has generated substantial attention among academics in the fields of text mining and natural language processing (NLP). The quantity of studies done on this subject has experienced significant grow
Externí odkaz:
https://doaj.org/article/2ce9263d7d03458793971b38128463fc
Autor:
Robert Gyebi, Gabriel Asare Okyere, Emmanuel Kwaku Nakua, Franklin Aseidu-Bekoe, Jane Serwaa Akoto Nti, Emmanuel Owusu Ansah, Felix Agyemang Opoku
Publikováno v:
Bulletin of the National Research Centre, Vol 47, Iss 1, Pp 1-11 (2023)
Abstract Background Measles has high primary reproductive number, extremely infectious and ranked second to malaria in terms of disease burden in Ghana. Owing to the disease’s high infectious rate, making early diagnosis based on an accurate system
Externí odkaz:
https://doaj.org/article/998392eeebdc4335b8b4f7374664a75a
Autor:
Md Salauddin Khan, Tushar Deb Nath, Md Murad Hossain, Arnab Mukherjee, Hafiz Bin Hasnath, Tahera Manhaz Meem, Umama Khan
Publikováno v:
International Journal of Cognitive Computing in Engineering, Vol 4, Iss , Pp 6-20 (2023)
Background: The application of classsification methods through multivariate and machine learning techniques has enormous significance in agricultural sector. It is vital to classify various types of seeds as well as identify the quality of seeds whic
Externí odkaz:
https://doaj.org/article/bb2f1543a03a4a1e82b4e8374114b1b3