Zobrazeno 1 - 10
of 15
pro vyhledávání: '"Revital Marbel"'
Publikováno v:
Machine Learning with Applications, Vol 13, Iss , Pp 100489- (2023)
This study proposes an innovative methodology to enhance the performance of multilingual Automatic Speech Recognition (ASR) systems by capitalizing on the high semantic similarity between sentences across different languages and eliminating the requi
Externí odkaz:
https://doaj.org/article/2a37040d52c545b9aa834b7321ea857b
Autor:
Francesco Potorti, Sangjoon Park, Antonino Crivello, Filippo Palumbo, Michele Girolami, Paolo Barsocchi, Soyeon Lee, Joaquin Torres-Sospedra, Antonio Ramon Jimenez Ruiz, Antoni Perez-Navarro, German Martin Mendoza-Silva, Fernando Seco, Miguel Ortiz, Johan Perul, Valerie Renaudin, Hyunwoong Kang, Soyoung Park, Jae Hong Lee, Chan Gook Park, Jisu Ha, Jaeseung Han, Changjun Park, Keunhye Kim, Yonghyun Lee, Seunghun Gye, Keumryeol Lee, Eunjee Kim, Jeong-Sik Choi, Yang-Seok Choi, Shilpa Talwar, Seong Yun Cho, Boaz Ben-Moshe, Alex Scherbakov, Leonid Antsfeld, Emilio Sansano-Sansano, Boris Chidlovskii, Nikolai Kronenwett, Silvia Prophet, Yael Landay, Revital Marbel, Lingxiang Zheng, Ao Peng, Zhichao Lin, Bang Wu, Chengqi Ma, Stefan Poslad, David R. Selviah, Wei Wu, Zixiang Ma, Wenchao Zhang, Dongyan Wei, Hong Yuan, Jun-Bang Jiang, Shao-Yung Huang, Jing-Wen Liu, Kuan-Wu Su, Jenq-Shiou Leu, Kazuki Nishiguchi, Walid Bousselham, Hideaki Uchiyama, Diego Thomas, Atsushi Shimada, Rin-Ichiro Taniguchi, Vicente Cortes Puschel, Tomas Lungenstrass Poulsen, Imran Ashraf, Chanseok Lee, Muhammad Usman Ali, Yeongjun Im, Gunzung Kim, Jeongsook Eom, Soojung Hur, Yongwan Park, Miroslav Opiela, Adriano Moreira, Maria Joao Nicolau, Cristiano Pendao, Ivo Silva, Filipe Meneses, Antonio Costa, Jens Trogh, David Plets, Ying-Ren Chien, Tzu-Yu Chang, Shih-Hau Fang, Yu Tsao
Publikováno v:
IEEE Access, Vol 8, Pp 206674-206718 (2020)
IPIN 2019 Competition, sixth in a series of IPIN competitions, was held at the CNR Research Area of Pisa (IT), integrated into the program of the IPIN 2019 Conference. It included two on-site real-time Tracks and three off-site Tracks. The four Track
Externí odkaz:
https://doaj.org/article/ddebc0d9f3ed4c6588ee35f1b72991b9
Autor:
Valerie Renaudin, Miguel Ortiz, Johan Perul, Joaquin Torres-Sospedra, Antonio Ramon Jimenez, Antoni Perez-Navarro, German Martin Mendoza-Silva, Fernando Seco, Yael Landau, Revital Marbel, Boaz Ben-Moshe, Xingyu Zheng, Feng Ye, Jian Kuang, Yu Li, Xiaoji Niu, Vlad Landa, Shlomi Hacohen, Nir Shvalb, Chuanhua Lu, Hideaki Uchiyama, Diego Thomas, Atsushi Shimada, Rin-Ichiro Taniguchi, Zhenxing Ding, Feng Xu, Nikolai Kronenwett, Blagovest Vladimirov, Soyeon Lee, Eunyoung Cho, Sungwoo Jun, Changeun Lee, Sangjoon Park, Yonghyun Lee, Jehyeok Rew, Changjun Park, Hyeongyo Jeong, Jaeseung Han, Keumryeol Lee, Wenchao Zhang, Xianghong Li, Dongyan Wei, Ying Zhang, So Young Park, Chan Gook Park, Stefan Knauth, Georgios Pipelidis, Nikolaos Tsiamitros, Tomas Lungenstrass, Juan Pablo Morales, Jens Trogh, David Plets, Miroslav Opiela, Shih-Hau Fang, Yu Tsao, Ying-Ren Chien, Shi-Shen Yang, Shih-Jyun Ye, Muhammad Usman Ali, Soojung Hur, Yongwan Park
Publikováno v:
IEEE Access, Vol 7, Pp 148594-148628 (2019)
The Indoor Positioning and Indoor Navigation (IPIN) conference holds an annual competition in which indoor localization systems from different research groups worldwide are evaluated empirically. The objective of this competition is to establish a sy
Externí odkaz:
https://doaj.org/article/a6e635a75ba748f989a38f64c3d6bf55
Publikováno v:
Remote Sensing, Vol 14, Iss 15, p 3514 (2022)
Consider a constellation of over a hundred low Earth orbit satellites that aim to capture every point on Earth at least once a day. Clearly, there is a need to download from each satellite a large set of high-quality images on a daily basis. In this
Externí odkaz:
https://doaj.org/article/909a8a8ace3848c593e7679908c2565b
Publikováno v:
Applied Sciences, Vol 12, Iss 2, p 738 (2022)
Satellite network optimization is essential, particularly since the cost of manufacturing, launching and maintaining each satellite is significant. Moreover, classical communication optimization methods, such as Minimal Spanning Tree, cannot be appli
Externí odkaz:
https://doaj.org/article/5cb5f947712b48c9a2f506856bad9fb2
Publikováno v:
Sensors, Vol 21, Iss 14, p 4840 (2021)
Global Navigation Satellite Systems (GNSS) jamming is an acute problem in the world of modern navigation. As more and more applications rely on GNSS for both position and timing, jamming ramifications are becoming more severe. In this paper we sugges
Externí odkaz:
https://doaj.org/article/00110e41598f43b98358a55b1fa04657
Publikováno v:
Applied Sciences, Vol 10, Iss 21, p 7872 (2020)
This paper presents a set of graph optimization problems related to free-space optical communication networks. Such laser-based wireless networks require a line of sight to enable communication, thus a visibility graph model is used herein. The main
Externí odkaz:
https://doaj.org/article/e8e3823b5ce6478da588ab17a45bb622
Publikováno v:
Sensors, Vol 20, Iss 4, p 1106 (2020)
This paper presents a star-tracking algorithm to determine the accurate global orientation of autonomous platforms such as nano satellites, U A V s, and micro-drones using commercial-off-the-shelf ( C O T S ) mobile devices such as smartphones. Such
Externí odkaz:
https://doaj.org/article/c327393240c94e549e05f8f994105341
Publikováno v:
Sensors, Vol 20, Iss 4, p 1106 (2020)
Sensors (Basel, Switzerland)
Sensors
Volume 20
Issue 4
Sensors (Basel, Switzerland)
Sensors
Volume 20
Issue 4
This paper presents a star-tracking algorithm to determine the accurate global orientation of autonomous platforms such as nano satellites, U A V s, and micro-drones using commercial-off-the-shelf ( C O T S ) mobile devices such as smartphones. Such
Publikováno v:
2018 IEEE International Conference on the Science of Electrical Engineering in Israel (ICSEE).
This work presents a concept of intelligent micro drones which are motivated by flying insects such as bees. The presented micro drones can perform bio inspired complex tasks autonomously using simple sensors which require very low computing power. I