Zobrazeno 1 - 10
of 21 661
pro vyhledávání: '"Jung Ho So"'
Autor:
Geun-Ho Kim, Dooseong Hwang, Jung Ho Song, Junhyuck Im, Junhee Lee, Minyoung Kang, Kwang Pyo Kim
Publikováno v:
Nuclear Engineering and Technology, Vol 55, Iss 6, Pp 1959-1965 (2023)
The objective of this study was the establishment of clearance method that can ensure radiological safety and reasonably minimize radioactive waste when demolishing contaminated buildings at KRR-1&2. By reviewing Korean and international laws related
Externí odkaz:
https://doaj.org/article/64ee9625b18f4667a9542f1e59e6eb9a
In this paper, we introduce the Actions and Objects Pathways (AOPath) for out-of-domain generalization in video question answering tasks. AOPath leverages features from a large pretrained model to enhance generalizability without the need for explici
Externí odkaz:
http://arxiv.org/abs/2411.19434
Autor:
Yun, Sungmin, Kyung, Kwanhee, Cho, Juhwan, Choi, Jaewan, Kim, Jongmin, Kim, Byeongho, Lee, Sukhan, Sohn, Kyomin, Ahn, Jung Ho
Large language models (LLMs) have emerged due to their capability to generate high-quality content across diverse contexts. To reduce their explosively increasing demands for computing resources, a mixture of experts (MoE) has emerged. The MoE layer
Externí odkaz:
http://arxiv.org/abs/2409.01141
Fully homomorphic encryption (FHE) is a cryptographic technology capable of resolving security and privacy problems in cloud computing by encrypting data in use. However, FHE introduces tremendous computational overhead for processing encrypted data,
Externí odkaz:
http://arxiv.org/abs/2407.13055
Autor:
Sarkar, Soumya, Han, Zirun, Ghani, Maheera Abdul, Strkalj, Nives, Kim, Jung Ho, Wang, Yan, Jariwala, Deep, Chhowalla, Manish
Some van der Waals (vdW) materials exhibit ferroelectricity, making them promising for novel non-volatile memories (NVMs) such as ferroelectric diodes (FeDs). CuInP2S6 (CIPS) is a well-known vdW ferroelectric that has been integrated with graphene fo
Externí odkaz:
http://arxiv.org/abs/2407.09175
Respiratory sound classification (RSC) is challenging due to varied acoustic signatures, primarily influenced by patient demographics and recording environments. To address this issue, we introduce a text-audio multimodal model that utilizes metadata
Externí odkaz:
http://arxiv.org/abs/2406.06786
Sign languages are multi-channel languages that communicate information through not just the hands (manual signals) but also facial expressions and upper body movements (non-manual signals). However, since automatic sign language translation is usual
Externí odkaz:
http://arxiv.org/abs/2406.06648
Contrastive and Consistency Learning for Neural Noisy-Channel Model in Spoken Language Understanding
Recently, deep end-to-end learning has been studied for intent classification in Spoken Language Understanding (SLU). However, end-to-end models require a large amount of speech data with intent labels, and highly optimized models are generally sensi
Externí odkaz:
http://arxiv.org/abs/2405.15097
Recent advancements in AI have democratized its deployment as a healthcare assistant. While pretrained models from large-scale visual and audio datasets have demonstrably generalized to this task, surprisingly, no studies have explored pretrained spe
Externí odkaz:
http://arxiv.org/abs/2405.02996
Autor:
Nam, Hwayong, Baek, Seungmin, Wi, Minbok, Kim, Michael Jaemin, Park, Jaehyun, Song, Chihun, Kim, Nam Sung, Ahn, Jung Ho
The demand for precise information on DRAM microarchitectures and error characteristics has surged, driven by the need to explore processing in memory, enhance reliability, and mitigate security vulnerability. Nonetheless, DRAM manufacturers have dis
Externí odkaz:
http://arxiv.org/abs/2405.02499