Zobrazeno 1 - 10
of 148
pro vyhledávání: '"Joonwhoan Lee"'
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-14 (2024)
Abstract Sound is one of the primary forms of sensory information that we use to perceive our surroundings. Usually, a sound event is a sequence of an audio clip obtained from an action. The action can be rhythm patterns, music genre, people speaking
Externí odkaz:
https://doaj.org/article/87bfee344cea4d97bf51f32953a88dff
Publikováno v:
Sensors, Vol 24, Iss 10, p 2977 (2024)
Smart farm environments, equipped with cutting-edge technology, require proficient techniques for managing poultry. This research investigates automated chicken counting, an essential part of optimizing livestock conditions. By integrating artificial
Externí odkaz:
https://doaj.org/article/5c8ab9cb872c43759f25b4e7d57e037d
Publikováno v:
Sensors, Vol 24, Iss 7, p 2245 (2024)
Accurate urban green space (UGS) measurement has become crucial for landscape analysis. This paper reviews the recent technological breakthroughs in deep learning (DL)-based semantic segmentation, emphasizing efficient landscape analysis, and integra
Externí odkaz:
https://doaj.org/article/ac402881b54b4b77a410d783e1fc6885
Autor:
Bhuwan Bhattarai, Joonwhoan Lee
Publikováno v:
Applied Sciences, Vol 14, Iss 2, p 492 (2024)
In this paper, first, we delved into the experiment by comparing various attention mechanisms in the semantic pixel-wise segmentation framework to perform frame-level transcription tasks. Second, the Viterbi algorithm was utilized by transferring the
Externí odkaz:
https://doaj.org/article/8cec638c3bea437e8841103186c2d1d3
Autor:
Bhuwan Bhattarai, Joonwhoan Lee
Publikováno v:
Applied Sciences, Vol 13, Iss 21, p 11882 (2023)
Music transcription is the process of transforming recorded sound of musical performances into symbolic representations such as sheet music or MIDI files. Extensive research and development have been carried out in the field of music transcription an
Externí odkaz:
https://doaj.org/article/ae2d24c729c44eeba5990e861e253f12
Publikováno v:
IEEE Access, Vol 10, Pp 39108-39118 (2022)
Pine wilt disease (PWD) is responsible for significant damage to East Asia’s pine forests, including those in Korea, Japan, and China. Preventing the spread of wilt disease requires early detection and removal of damaged trees. This paper proposes
Externí odkaz:
https://doaj.org/article/0b23710a62204fee8dcd1890e57547bf
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:
Frontiers in Plant Science, Vol 13 (2022)
For continual learning in the process of plant disease recognition it is necessary to first distinguish between unknown diseases from those of known diseases. This paper deals with two different but related deep learning techniques for the detection
Externí odkaz:
https://doaj.org/article/7aa7aac7408b4620a85887973ddc2f80
Publikováno v:
Frontiers in Plant Science, Vol 13 (2022)
There has been substantial research that has achieved significant advancements in plant disease detection based on deep object detection models. However, with unknown diseases, it is difficult to find a practical solution for plant disease detection.
Externí odkaz:
https://doaj.org/article/c7ae8ad57e71499393138d24705a2d07
Publikováno v:
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol 14, Pp 3330-3344 (2021)
In this article, we explore a conditional hyperspectral image (HSI) synthesis method with generative adversarial networks (GAN). A new multistage and multipole generative adversarial network, which is suitable for conditional HSI generation and class
Externí odkaz:
https://doaj.org/article/10e0142709524e2da71edaf4d9572047