Zobrazeno 1 - 10
of 414
pro vyhledávání: '"data bias"'
Autor:
Haibin Han, Chen Shang, Bohui Jiang, Yuhan Wang, Yang Li, Delong Xiang, Heng Zhang, Yongchuang Shi, Keji Jiang
Publikováno v:
Frontiers in Marine Science, Vol 11 (2024)
The chub mackerel (Scomber japonicus) is one of the most influential small pelagic fish in the Northwest Pacific Ocean, and accurate modeling approaches and model selection are critical points in predicting the Scomber japonicus fishing grounds. This
Externí odkaz:
https://doaj.org/article/ebd6bdea76f840f89a04aed31756bd5f
Autor:
Louis J. Backstrom, Corey T. Callaghan, Nicholas P. Leseberg, Chris Sanderson, Richard A. Fuller, James E. M. Watson
Publikováno v:
Ecology and Evolution, Vol 14, Iss 2, Pp n/a-n/a (2024)
Abstract Tracking the state of biodiversity over time is critical to successful conservation, but conventional monitoring schemes tend to be insufficient to adequately quantify how species' abundances and distributions are changing. One solution to t
Externí odkaz:
https://doaj.org/article/1aa6c1bb811e4b26a7f0a22817b72877
Publikováno v:
Heliyon, Vol 10, Iss 2, Pp e24164- (2024)
Advanced synthetic data generators can simulate data samples that closely resemble sensitive personal datasets while significantly reducing the risk of individual identification. The use of these advanced generators holds enormous potential in the me
Externí odkaz:
https://doaj.org/article/8ec0147e6b2946c8889a10de83ff34fe
Autor:
Haibin Han, Bohui Jiang, Delong Xiang, Yongchuang Shi, Siyuan Liu, Chen Shang, Xinye Zhao, Heng Zhang, Yuyan Sun
Publikováno v:
Ecological Indicators, Vol 158, Iss , Pp 111526- (2024)
Purpleback flying squid (Sthenoteuthis oualaniensis, PFS) is one of the critical economically cephalopod species in the northwest Indian Ocean, and the accurate model and dataset selection are critical parameters for predicting and managing the PFS f
Externí odkaz:
https://doaj.org/article/93d6b2dceb604e068755adf81a022d22
Publikováno v:
Frontiers in Artificial Intelligence, Vol 6 (2023)
The increasing human population and variable weather conditions, due to climate change, pose a threat to the world's food security. To improve global food security, we need to provide breeders with tools to develop crop cultivars that are more resili
Externí odkaz:
https://doaj.org/article/fc22a06d09b849e6bced304da0bcb016
Publikováno v:
Цифровая социология, Vol 5, Iss 4, Pp 23-30 (2023)
The development of neural network technologies leads to their integration in decision-making processes at the level of such important social institutions as healthcare, education, employment, etc. This situation brings up the question of the correctn
Externí odkaz:
https://doaj.org/article/6d80a45f48c34c5aa7cc12d4c4cf40b9
Publikováno v:
IEEE Access, Vol 11, Pp 56691-56702 (2023)
Data Analytics have become a key component of many business processes which influence several aspects of our daily life. Indeed, any misinterpretation or flaw in the outputs of Data Analytics results can cause significant damage, specialy when dealin
Externí odkaz:
https://doaj.org/article/6cc7fda2dca547b69d2521cc39dd840e
Publikováno v:
IEEE Access, Vol 11, Pp 26996-27011 (2023)
Bias in software systems is a serious threat to human rights: when software makes decisions that allocate resources or opportunities, may disparately impact people based on personal traits (e.g., gender, ethnic group, etc.), systematically (dis)advan
Externí odkaz:
https://doaj.org/article/5618c19cab344636b91236b3bb03141e
Publikováno v:
Science and Technology of Advanced Materials: Methods, Vol 2, Iss 1, Pp 302-309 (2022)
Materials informatics (MI) research, which is the discovery of new materials through machine learning (ML) using large-scale material data, has attracted considerable attention in recent years. However, in general, the large-scale material data used
Externí odkaz:
https://doaj.org/article/18d07826396c496ebd1045ebbcd18773