Zobrazeno 1 - 10
of 10
pro vyhledávání: '"Prasanga Neupane"'
Autor:
Guannan Liu, Manali Singha, Limeng Pu, Prasanga Neupane, Joseph Feinstein, Hsiao-Chun Wu, J. Ramanujam, Michal Brylinski
Publikováno v:
Journal of Cheminformatics, Vol 13, Iss 1, Pp 1-17 (2021)
Abstract Traditional techniqueset identification, we developed GraphDTI, a robust machine learning framework integrating the molecular-level information on drugs, proteins, and binding sites with the system-level information on gene expression and pr
Externí odkaz:
https://doaj.org/article/906e531a92ba466c941ac8f1556e93ee
Publikováno v:
IEEE Systems Journal. 16:6253-6264
Autor:
Shih Yu Chang, Hsiao-Chun Wu, Venkata Gadiraju, Prasanga Neupane, Scott C.-H. Huang, Costas Busch
Publikováno v:
IEEE Wireless Communications Letters. 10:2767-2771
Publikováno v:
IEEE Sensors Letters. 5:1-4
Indoor localization of human objects has many important applications nowadays. Here, we propose a new multiresolution device-free indoor localization scheme using wireless radio frequency (RF) fingerprints. In our proposed new device-free approach, a
Publikováno v:
BMSB
We propose a novel device-free localization technique for human-object tracking indoors using wireless radiofrequency fingerprint. The received signal-strength indicators (RSSIs) are measured by the receiving antennae as the features for machine lear
Publikováno v:
BMSB
Wireless communication and sensor networks have been widely employed in our daily life. Sensing-range characteristics, inter-nodal connectivity, and communication capacity are critical factors in providing reliable quality-of-service. Placement of se
Autor:
Shih Yu Chang, Hsiao-Chun Wu, Limeng Pu, Prasanga Neupane, Weidong Xiang, Yiyan Wu, Jinwei Ye, Kun Yan, Guannan Liu
Publikováno v:
BMSB
This paper proposes a novel indoor device-free localization and tracking approach using the received signal-strength indicators (RSSIs) of WiFi signals. The RSSI feature-vectors simulated by a channel-propagation emulator software are adopted as the
Autor:
Michal Brylinski, Guannan Liu, Limeng Pu, Prasanga Neupane, Manali Singha, Joseph Feinstein, J. Ramanujam, Hsiao-Chun Wu
Publikováno v:
Journal of Cheminformatics
Journal of Cheminformatics, Vol 13, Iss 1, Pp 1-17 (2021)
Journal of Cheminformatics, Vol 13, Iss 1, Pp 1-17 (2021)
Traditional techniques to identify macromolecular targets for drugs utilize solely the information on a query drug and a putative target. Nonetheless, the mechanisms of action of many drugs depend not only on their binding affinity toward a single pr
Publikováno v:
Hybrid Intelligent Systems ISBN: 9783030493356
HIS
HIS
Humans can easily recognize specific patterns and their repetition in an image but it is very difficult for machines to do. However, the machines can create a plethora of repeated patterns and tiled images. This research paper proposes some methods o
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::abd17585eae637f890bdca3252240564
https://doi.org/10.1007/978-3-030-49336-3_10
https://doi.org/10.1007/978-3-030-49336-3_10
Publikováno v:
2018 IEEE 3rd International Conference on Computing, Communication and Security (ICCCS).
The sentiment in Twitter about Bitcoin have direct or indirect influence on overall market value of the Bitcoin. This research is concerned with predicting the volatile price of Bitcoin by analyzing the sentiment in Twitter and to find the relation b