Zobrazeno 1 - 10
of 158
pro vyhledávání: '"Youngeun, Kim"'
Publikováno v:
Science Editing, Vol 11, Iss 2, Pp 142-148 (2024)
Purpose This study investigates shifts in scientific research focus, particularly the decline in COVID-19-related research and the rapid growth of artificial intelligence (AI) publications. Methods We analyzed publication data from the Web of Science
Externí odkaz:
https://doaj.org/article/33f74c7823a94168971d40524dfa9be6
Autor:
Yang Liu, Yilong Li, Yuteng Hang, Lei Wang, Jinghan Wang, Ning Bao, Youngeun Kim, Ho Won Jang
Publikováno v:
Nano Convergence, Vol 11, Iss 1, Pp 1-24 (2024)
Abstract The COVID-19 outbreak caused by SARS-CoV-2 in late 2019 has spread rapidly across the world to form a global epidemic of respiratory infectious diseases. Increased investigations on diagnostic tools are currently implemented to assist rapid
Externí odkaz:
https://doaj.org/article/1b2dce0f21b64f68a02238934efecb57
Autor:
Youngeun Kim, Adar Kahana, Ruokai Yin, Yuhang Li, Panos Stinis, George Em Karniadakis, Priyadarshini Panda
Publikováno v:
Frontiers in Neuroscience, Vol 18 (2024)
Time-To-First-Spike (TTFS) coding in Spiking Neural Networks (SNNs) offers significant advantages in terms of energy efficiency, closely mimicking the behavior of biological neurons. In this work, we delve into the role of skip connections, a widely
Externí odkaz:
https://doaj.org/article/1b9e4781ca65445d9cceb8375bdaf973
Publikováno v:
Frontiers in Neuroscience, Vol 17 (2023)
In this study, we explore Human Activity Recognition (HAR), a task that aims to predict individuals' daily activities utilizing time series data obtained from wearable sensors for health-related applications. Although recent research has predominantl
Externí odkaz:
https://doaj.org/article/8a62740141a2438c93d5df4bafdcac50
Publikováno v:
Frontiers in Neuroscience, Vol 17 (2023)
Spiking Neural Networks (SNNs) have gained increasing attention as energy-efficient neural networks owing to their binary and asynchronous computation. However, their non-linear activation, that is Leaky-Integrate-and-Fire (LIF) neuron, requires addi
Externí odkaz:
https://doaj.org/article/3bb830ec01474a79aa24d4f302709f43
Publikováno v:
Bioengineering & Translational Medicine, Vol 8, Iss 3, Pp n/a-n/a (2023)
Abstract Topical delivery to treat dermatological disease is constrained by low skin permeability to most drugs due to the stratum corneum barrier. STAR particles containing microneedle protrusions can be topically applied on the skin to create micro
Externí odkaz:
https://doaj.org/article/053ea5fcca774bb79e89f0a870e199a8
Autor:
Yun-Sik Lee, Bum Chul Park, Dae Beom Lee, Hyun-Gi Min, Min-Suk Kim, Sung-Chul Kim, Sung Ok Won, June Wee, Eunji Chae, Cheolho Sim, Youngeun Kim, Jeong-Gyu Kim, Young Keun Kim, Kijong Cho
Publikováno v:
Environment International, Vol 175, Iss , Pp 107963- (2023)
Arsenic (As)-contaminated soil inevitably exists in nature and has become a global challenge for a sustainable future. Current processes for As capture using natural and structurally engineered nanomaterials are neither scientifically nor economicall
Externí odkaz:
https://doaj.org/article/a93c7d7e915e4427819ac9ada0a57ac1
Autor:
Youngeun Kim, Priyadarshini Panda
Publikováno v:
Scientific Reports, Vol 11, Iss 1, Pp 1-14 (2021)
Abstract By emulating biological features in brain, Spiking Neural Networks (SNNs) offer an energy-efficient alternative to conventional deep learning. To make SNNs ubiquitous, a ‘visual explanation’ technique for analysing and explaining the int
Externí odkaz:
https://doaj.org/article/21c9d821aa6d46349f250d5a2ab3e691
Autor:
Youngeun Kim, Priyadarshini Panda
Publikováno v:
Frontiers in Neuroscience, Vol 15 (2021)
Spiking Neural Networks (SNNs) have recently emerged as an alternative to deep learning owing to sparse, asynchronous and binary event (or spike) driven processing, that can yield huge energy efficiency benefits on neuromorphic hardware. However, SNN
Externí odkaz:
https://doaj.org/article/38cdebe517344b4a91e7a0ff0be4c536
Mesenchymal Stem Cell‐Derived Extracellular Vesicles as Therapeutics and as a Drug Delivery Platform
Publikováno v:
Stem Cells Translational Medicine, Vol 8, Iss 9, Pp 880-886 (2019)
Summary Mesenchymal stem cells (MSCs) are one of the most easily accessible stem cells that can be obtained from various human tissues. They have raised considerable interests for their potential applications in tissue repair, anti‐cancer therapy,
Externí odkaz:
https://doaj.org/article/b34b4ce1b6b44a85b84a5acf8728bd90