Zobrazeno 1 - 10
of 130
pro vyhledávání: '"Masayoshi Aritsugi"'
Autor:
Randy Cahya Wihandika, Yoonji Lee, Mahendra Data, Masayoshi Aritsugi, Hiroki Obata, Israel Mendonça
Publikováno v:
Information, Vol 15, Iss 5, p 243 (2024)
The preparation of raw images for subsequent analysis, known as image preprocessing, is a crucial step that can boost the performance of an image classification model. Although deep learning has succeeded in image classification without handcrafted f
Externí odkaz:
https://doaj.org/article/7e80cd57d7c84366a1ba852651d4c543
Autor:
Luis Japa, Marcello Serqueira, Israel Mendonca, Masayoshi Aritsugi, Eduardo Bezerra, Pedro Henrique Gonzalez
Publikováno v:
IEEE Access, Vol 11, Pp 50752-50768 (2023)
Hyperparameter optimization is a fundamental part of Auto Machine Learning (AutoML) and it has been widely researched in recent years; however, it still remains as one of the main challenges in this area. Motivated by the need of faster and more accu
Externí odkaz:
https://doaj.org/article/5f9c9e4ec6fb4b638ffafee993ea7452
Optimizing Data Processing: A Comparative Study of Big Data Platforms in Edge, Fog, and Cloud Layers
Autor:
Thanda Shwe, Masayoshi Aritsugi
Publikováno v:
Applied Sciences, Vol 14, Iss 1, p 452 (2024)
Intelligent applications in several areas increasingly rely on big data solutions to improve their efficiency, but the processing and management of big data incur high costs. Although cloud-computing-based big data management and processing offer a p
Externí odkaz:
https://doaj.org/article/343c2bcc11c6495cac779e5b33a6a019
Publikováno v:
Sensors, Vol 23, Iss 5, p 2714 (2023)
To mitigate the effects of the lack of IoT standardization, including scalability, reusability, and interoperability, we propose a domain-agnostic monitoring and control framework (MCF) for the design and implementation of Internet of Things (IoT) sy
Externí odkaz:
https://doaj.org/article/4c2b5e0dc8fa4f09bf0ca0b23d10f171
Publikováno v:
IEEE Access, Vol 9, Pp 91410-91426 (2021)
Hyperparameters and architecture greatly influence the performance of convolutional neural networks (CNNs); therefore, their optimization is important to obtain the desired results. One of the state-of-the-art methods to achieve this is the use of ne
Externí odkaz:
https://doaj.org/article/09c8b914b3334a53a24faba3692db256
Autor:
Mahendra Data, Masayoshi Aritsugi
Publikováno v:
IEEE Access, Vol 9, Pp 154156-154171 (2021)
Machine learning has recently become a popular algorithm in building reliable intrusion detection systems (IDSs). However, most of the models are static and trained using datasets containing all targeted intrusions. If new intrusions emerge, these tr
Externí odkaz:
https://doaj.org/article/8f4706cd1bd04b1798cb58e41fd88fe9
Autor:
Anang Kunaefi, Masayoshi Aritsugi
Publikováno v:
IEEE Access, Vol 9, Pp 45078-45094 (2021)
Review mining from app marketplaces has gained immense popularity from researchers in recent years. Most studies in this area, however, tend to focus on improving the performance of classification prediction. In this study, we consider review mining
Externí odkaz:
https://doaj.org/article/7ab352a1f34544d0993036344e34da0e
Autor:
Sari Dewi Budiwati, Al Hafiz Akbar Maulana Siagian, Tirana Noor Fatyanosa, Masayoshi Aritsugi
Publikováno v:
Applied Sciences, Vol 11, Iss 4, p 1868 (2021)
Phrase table combination in pivot approaches can be an effective method to deal with low-resource language pairs. The common practice to generate phrase tables in pivot approaches is to use standard symmetrization, i.e., grow-diag-final-and. Although
Externí odkaz:
https://doaj.org/article/a12925e00e63473da88d476043a994f5
Autor:
Fuyuan Xiao, Masayoshi Aritsugi
Publikováno v:
Sensors, Vol 18, Iss 11, p 3732 (2018)
Efficient matching of incoming events of data streams to persistent queries is fundamental to event stream processing systems in wireless sensor networks. These applications require dealing with high volume and continuous data streams with fast proce
Externí odkaz:
https://doaj.org/article/1d33437eb5b342d09fba497bd9c21465
Publikováno v:
IEEE/CAA Journal of Automatica Sinica. 10:439-450