Zobrazeno 1 - 10
of 287
pro vyhledávání: '"Yutaka Watanobe"'
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-25 (2024)
Abstract Sentiment analysis is a pivotal tool in understanding public opinion, consumer behavior, and social trends, underpinning applications ranging from market research to political analysis. However, existing sentiment analysis models frequently
Externí odkaz:
https://doaj.org/article/42c3755db21945f6b2d56854a70e5b30
Publikováno v:
International Journal of Computational Intelligence Systems, Vol 17, Iss 1, Pp 1-20 (2024)
Abstract Enormous amounts of data are generated in the form of feedback or comments from online platforms such as social media, e-commerce, education, and programming. This feedback and comments hold significant value for making important strategic d
Externí odkaz:
https://doaj.org/article/a362750cea374f8e87f2cd2205f4c7b4
Autor:
Khan Md Hasib, M. F. Mridha, Md Humaion Kabir Mehedi, Kazi Omar Faruk, Rabeya Khatun Muna, Shahriar Iqbal, Md Rashedul Islam, Yutaka Watanobe
Publikováno v:
IEEE Access, Vol 12, Pp 101660-101678 (2024)
Assessing children for specific language impairment (SLI) or other communication impairments can be challenging for doctors due to the extensive battery of tests and examinations required. Artificial intelligence and computer-aided diagnostics have a
Externí odkaz:
https://doaj.org/article/f2df0b84d44544fc8b1ccbf119cef5d4
Publikováno v:
IEEE Access, Vol 12, Pp 100805-100820 (2024)
Programming is an essential skill in computer science and in a wide range of engineering-related disciplines. However, occurring errors, often referred to as “bugs” in code, can indeed be challenging to identify and rectify, both for students who
Externí odkaz:
https://doaj.org/article/b202799a45b14c6fa65860fc7acf2a25
Publikováno v:
Sensors, Vol 24, Iss 13, p 4343 (2024)
Human Activity Recognition (HAR), alongside Ambient Assisted Living (AAL), are integral components of smart homes, sports, surveillance, and investigation activities. To recognize daily activities, researchers are focusing on lightweight, cost-effect
Externí odkaz:
https://doaj.org/article/1186fd0b167445fb9436735476777e0c
Autor:
Leonard Chukwualuka Nnadi, Yutaka Watanobe, Md. Mostafizer Rahman, Adetokunbo Macgregor John-Otumu
Publikováno v:
Applied Sciences, Vol 14, Iss 12, p 5141 (2024)
As the educational landscape evolves, understanding and fostering student adaptability has become increasingly critical. This study presents a comparative analysis of XAI techniques to interpret machine learning models aimed at classifying student ad
Externí odkaz:
https://doaj.org/article/bc6905d209d14fd3b40b9d6c1e966d64
Publikováno v:
IEEE Access, Vol 11, Pp 119033-119044 (2023)
Finding periodic-frequent patterns in temporal databases is a prominent data mining problem with bountiful applications. It involves discovering all patterns in a database that satisfy the user-specified minimum support ( $min{\_{}}sup$ ) and maximum
Externí odkaz:
https://doaj.org/article/a894092c974a44aea501f9d74d6b621d
Autor:
Pamalla Veena, Tarun Sreepada, Rage Uday Kiran, Minh-Son Dao, Koji Zettsu, Yutaka Watanobe, Ji Zhang
Publikováno v:
IEEE Access, Vol 11, Pp 118676-118688 (2023)
Periodic-frequent patterns are a vital class of regularities in a temporal database. Most previous studies followed the approach of finding these patterns by storing the temporal occurrence information of a pattern in a list. While this approach faci
Externí odkaz:
https://doaj.org/article/b6b3a92408a949a595693edf46049f13
Autor:
Ashfia Jannat Keya, Md. Mohsin Kabir, Nusrat Jahan Shammey, M. F. Mridha, Md. Rashedul Islam, Yutaka Watanobe
Publikováno v:
IEEE Access, Vol 11, Pp 79697-79709 (2023)
The rapid increase in Internet users has increased online concerns such as hate speech, abusive texts, and harassment. In Bangladesh, hate text in Bengali is frequently used on various social media platforms to condemn and abuse individuals. However,
Externí odkaz:
https://doaj.org/article/68f101431b66488284466258f2df647d
Autor:
Hong N. Dao, Penugonda Ravikumar, Palla Likhitha, Uday Kiran Rage, Yutaka Watanobe, Incheon Paik
Publikováno v:
IEEE Access, Vol 11, Pp 12504-12524 (2023)
Stable periodic-frequent itemset mining is essential in big data analytics with many real-world applications. It involves extracting all itemsets exhibiting stable periodic behaviors in a temporal database. Most previous studies focused on finding th
Externí odkaz:
https://doaj.org/article/503677ea9ef34b48a0738b0b8f6940ac