洞穴
发表于 2025-3-26 21:47:01
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公猪
发表于 2025-3-27 02:32:30
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PON
发表于 2025-3-27 08:48:10
https://doi.org/10.1007/978-3-642-54484-2ct diseases. Deep Learning and Transfer Learning classifiers are within emergent technologies that impact health care. In this paper, we used Transfer Learning and Convolutional Neural Network to classify and detect the Intracranial hemorrhage (ICH). The performance of the used classifiers is evalua
ALERT
发表于 2025-3-27 11:31:39
Martin Ebner,Sandra Schön,Aldi Alimucaj staff and instructional designers invest significant time and resources in creating these videos. With instructional videos, they want to increase student involvement. Without formative assessment, however, actual engagement is hard to quantify. Nonetheless, a large number of students necessitates
Dappled
发表于 2025-3-27 15:02:52
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Fierce
发表于 2025-3-27 21:12:19
https://doi.org/10.1007/978-3-642-54487-3s, and more particularly in Automatic Text Summarization (ATS). Several advances related to this technique were made in recent years for both extractive and abstractive approaches, notably with the advent of sequence-to-sequence (seq2seq) and Transformers-based models. In spite of this, the Arabic l
Nomadic
发表于 2025-3-27 23:24:02
Tatiana Aires Tavares,Damian Schofieldficant research domain to understand the changes in land-cover, it provides important knowledge and data to be used in many other fields such as land-cover analyses, mapping generation, planning traffics, etc. This paper describes and evaluates an unsupervised method for change detection in satellit
CYN
发表于 2025-3-28 04:37:52
Media Convergence Handbook - Vol. 2ery year, hence people are more and more complaining about this phenomenon, some of them believe that climate change is happening, and we should worry and act about it. Despite that, the Intergovernmental Panel on Climate Change (IPCC) confirms that global warming is real and causes climate change,
Antecedent
发表于 2025-3-28 09:09:38
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Amorous
发表于 2025-3-28 13:30:21
https://doi.org/10.1007/978-3-319-51289-1s an important element for many NLP applications, including machine translation, sentiment analysis, and text summarization. It consists in identifying the very likely tag (noun, verb or particle, adverbs, adjectives etc.) for each word in a given text. The goal of this research is to conduct a syst