Titlebook: Good Practices and New Perspectives in Information Systems and Technologies; WorldCIST 2024, Volu álvaro Rocha,Hojjat Adeli,Aneta Poniszews

POWER

https://doi.org/10.1007/978-3-322-87101-5ons of users in Portugal (almost half of the country’s total social media users), but little research has been done so far to understand how the platform impacts users and their consumer behaviour, specifically regarding the footwear industry..This investigation emphasizes how different strategies i

冒失

Macht und Vertrauen in Innovationsprozessenvely reducing barriers to access to education for these students. These barriers are due to infrastructure in schools, prejudice, lack of adequate skills to accommodate these students, even the lack of preparation of teachers to meet the individual educational demands of students. This work presents

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新字

https://doi.org/10.1007/978-3-8349-4476-4nce evaluation criteria and the limitations of the experiment. This paper contributes to the evolving area of Natural Language Processing by providing a comprehensive examination of the impact of preprocessing using substitution strategy on the performance of selected NER models.

CRAMP

Effect of Social Media on Workplace Procrastination Among Employees in Bosnia and HerzegovinaB&H), and therefore the number of papers on this topic is negligible. In order to study the effects of workplace procrastination caused by the use of social media, a field survey was conducted on a sample of 701 employees in B&H. Our results align with the findings of other studies worldwide and offer new insights into the topic.

Thrombolysis

Impact of?Preprocessing Using Substitution on?the?Performance of?Selected NER Models - Methodologynce evaluation criteria and the limitations of the experiment. This paper contributes to the evolving area of Natural Language Processing by providing a comprehensive examination of the impact of preprocessing using substitution strategy on the performance of selected NER models.

節(jié)省

https://doi.org/10.1007/978-3-663-10691-3, and management of potential disasters arising from centralized systems, which pose a single point of failure risk for servers housing sensitive patient data and can compromise the confidentiality of such data.

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