Zobrazeno 1 - 10
of 10
pro vyhledávání: '"Yagya Raj Pandey"'
Autor:
Paudel, Sagar, Pokhrel, Kiran, Karki, Suman, Yagya Raj Pandey, Ghimire, Shiva Hari, Adhikari, Devi, Bodh Raj Baral, Pandey, Gita, Pathak, Chet Raj, Kapur Bhusal, Pratik Hamal
This experiments was carried out at National Cattle Research Program Rampur chitwan command area feed industry. In this study there were four types feed samples were used to making of pellet feed test quality of the pellet durability, hardness, and m
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::79adf30156a04d58be04b63467064dbf
Autor:
Yagya Raj Pandey, Daeyoung Jung
Publikováno v:
Journal of Educational Innovation Research. 28:117-136
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::6bb55b111d9a4b4fb98f41b21edf4ff2
https://doi.org/10.21024/pnuedi.28.3.201809.117
https://doi.org/10.21024/pnuedi.28.3.201809.117
Publikováno v:
Environmental Research Communications, Vol 6, Iss 10, p 105010 (2024)
In regions like Nepal, characterized by diverse geography, missing weather data poses a significant challenge for traditional imputation methods. These methods often struggle to capture the complexities of dynamic environments adequately. To overcome
Externí odkaz:
https://doaj.org/article/831ec13cd1b247238bcf0d8755f61d57
Publikováno v:
Scientific Reports, Vol 11, Iss 1, Pp 1-14 (2021)
Abstract Affective computing has suffered by the precise annotation because the emotions are highly subjective and vague. The music video emotion is complex due to the diverse textual, acoustic, and visual information which can take the form of lyric
Externí odkaz:
https://doaj.org/article/36d1baaf4f5f432b9e390dd08bb4c628
Publikováno v:
IEEE Access, Vol 8, Pp 162625-162633 (2020)
Sound event detection (SED) is a reasonable choice in a number of application domains including cattle sheds, dense forests, or any dark environments where visual objects are usually concealed or invisible. This study presents an autonomous monitorin
Externí odkaz:
https://doaj.org/article/39e7d794ef734fbcbc91a3dd2afb43ec
Publikováno v:
IEEE Access, Vol 8, Pp 206016-206027 (2020)
Music source separation is one of the old and challenging problems in music information retrieval society. Improvements in deep learning lead to big progress in decomposing music into its constitutive components with a variety of music. This research
Externí odkaz:
https://doaj.org/article/294c8988a87943aabd04a667df8fa6ad
Publikováno v:
Applied Sciences, Vol 12, Iss 19, p 9571 (2022)
This paper presents two methods to understand the rhythmic patterns of the voice in Korean traditional music called Pansori. We used semantic segmentation and classification-based structural analysis methods to segment the seven rhythmic categories o
Externí odkaz:
https://doaj.org/article/6d4815238af24e058d4002284ebc13a6
Publikováno v:
Sensors, Vol 21, Iss 19, p 6565 (2021)
Plant diseases must be identified at the earliest stage for pursuing appropriate treatment procedures and reducing economic and quality losses. There is an indispensable need for low-cost and highly accurate approaches for diagnosing plant diseases.
Externí odkaz:
https://doaj.org/article/6ee1d90377bf46b3b809ea3604d7d23f
Publikováno v:
Sensors, Vol 21, Iss 14, p 4927 (2021)
Music videos contain a great deal of visual and acoustic information. Each information source within a music video influences the emotions conveyed through the audio and video, suggesting that only a multimodal approach is capable of achieving effici
Externí odkaz:
https://doaj.org/article/4d355946e34740e580c5aa6f4b7869b7
Publikováno v:
Applied Sciences, Vol 8, Iss 10, p 1949 (2018)
The domestic cat (Feliscatus) is one of the most attractive pets in the world, and it generates mysterious kinds of sound according to its mood and situation. In this paper, we deal with the automatic classification of cat sounds using machine learni
Externí odkaz:
https://doaj.org/article/f02f341ddd0c48f88654b3ceae9b45e1