|
|
|
|
|
Suleiman Abu Kharmeh, Emad Natsheh, Batoul Sulaiman, Mohammad Abuabiah and Saed Tarapiah
Datasets used for artificial-neural-network and machine-learning applications play a vital role in the research and application of such techniques in solving real-life problems. The construction and availability of large datasets to be used in the off-li...
ver más
|
|
|
|
|
|
|
|
|
George Ioannou, Georgios Alexandridis and Andreas Stafylopatis
Importance sampling, a variant of online sampling, is often used in neural network training to improve the learning process, and, in particular, the convergence speed of the model. We study, here, the performance of a set of batch selection algorithms, n...
ver más
|
|
|
|
|
|
|
|
|
Aikaterini Georgiadou and Stelios Xinogalos
Nowadays, young students spend a lot of time playing video games and browsing on the Internet. Using the Internet has become even more widespread for young students due to the COVID-19 pandemic lockdown, which resulted in transferring several educational...
ver más
|
|
|
|
|
|
|
|
|
Maciej Liro, Anna Zielonka, Hanna Hajdukiewicz, Pawel Mikus, Wojciech Haska, Mateusz Kieniewicz, Elzbieta Gorczyca and Kazimierz Krzemien
Macroplastic pollution in mountain rivers can threaten water resources, biodiversity, and the recreational values provided by them. The first step towards evaluating and then mitigating these risks is the systematic collection of reliable and spatially u...
ver más
|
|
|
|
|
|
|
|
|
Kanza Gulzar, Muhammad Ayoob Memon, Syed Muhammad Mohsin, Sheraz Aslam, Syed Muhammad Abrar Akber and Muhammad Asghar Nadeem
In the public health sector and the field of medicine, the popularity of data mining and its usage in knowledge discovery and databases (KDD) are rising. The growing popularity of data mining has discovered innovative healthcare links to support decision...
ver más
|
|
|
|