Zobrazeno 1 - 10
of 3 536
pro vyhledávání: '"An, Jaejin"'
Autor:
Jun, Yohan, Liu, Qiang, Gong, Ting, Cho, Jaejin, Fujita, Shohei, Yong, Xingwang, Huang, Susie Y, Ning, Lipeng, Yendiki, Anastasia, Rathi, Yogesh, Bilgic, Berkin
Purpose: To develop and evaluate a new pulse sequence for highly accelerated distortion-free diffusion MRI (dMRI) by inserting an additional echo without prolonging TR, when generalized slice dithered enhanced resolution (gSlider) radiofrequency enco
Externí odkaz:
http://arxiv.org/abs/2409.07375
This paper aims to extend the code generation capability of large language models (LLMs) to automatically manage comprehensive software requirements from given textual descriptions. Such requirements include both functional (i.e. achieving expected b
Externí odkaz:
http://arxiv.org/abs/2408.00994
We present HyperSum, an extractive summarization framework that captures both the efficiency of traditional lexical summarization and the accuracy of contemporary neural approaches. HyperSum exploits the pseudo-orthogonality that emerges when randoml
Externí odkaz:
http://arxiv.org/abs/2405.09765
Autor:
Wang, Shu, Woo, Jong-Hak, Gallo, Elena, Guo, Hengxiao, Son, Donghoon, Kong, Minzhi, Mandal, Amit Kumar, Cho, Hojin, Kim, Changseok, Shin, Jaejin
Changing-look (CL) Active Galactic Nuclei (AGNs), characterized by appearance/disappearance of broad emission lines in the span of a few years, present a challenge for the AGN unified model, whereby the Type 1 vs. Type 2 dichotomy results from orient
Externí odkaz:
http://arxiv.org/abs/2402.18131
Autor:
Kang, Taein, Han, Soyul, Choi, Sunmook, Seo, Jaejin, Chung, Sanghyeok, Lee, Seungeun, Oh, Seungsang, Kwak, Il-Youp
Conventional spoofing detection systems have heavily relied on the use of handcrafted features derived from speech data. However, a notable shift has recently emerged towards the direct utilization of raw speech waveforms, as demonstrated by methods
Externí odkaz:
http://arxiv.org/abs/2402.17127
Job shop scheduling problems represent a significant and complex facet of combinatorial optimization problems, which have traditionally been addressed through either exact or approximate solution methodologies. However, the practical application of t
Externí odkaz:
http://arxiv.org/abs/2401.16580
Typical quantitative MRI (qMRI) methods estimate parameter maps after image reconstructing, which is prone to biases and error propagation. We propose a Nonlinear Conjugate Gradient (NLCG) optimizer for model-based T2/T1 estimation, which incorporate
Externí odkaz:
http://arxiv.org/abs/2401.12004
This study aimed to analyze brain activity during various STEM activities, exploring the feasibility of classifying between different tasks. EEG brain data from twenty subjects engaged in five cognitive tasks were collected and segmented into 4-secon
Externí odkaz:
http://arxiv.org/abs/2401.10285
This study investigated the use of forearm EMG data for distinguishing eight hand gestures, employing the Neural Network and Random Forest algorithms on data from ten participants. The Neural Network achieved 97 percent accuracy with 1000-millisecond
Externí odkaz:
http://arxiv.org/abs/2401.07889
Autor:
Yarach, Uten, Chatnuntawech, Itthi, Liao, Congyu, Teerapittayanon, Surat, Iyer, Siddharth Srinivasan, Kim, Tae Hyung, Haldar, Justin, Cho, Jaejin, Bilgic, Berkin, Hu, Yuxin, Hargreaves, Brian, Setsompop, Kawin
Purpose: We implemented the blip-up, blip-down circular echo planar imaging (BUDA-cEPI) sequence with readout and phase partial Fourier to reduced off-resonance effect and T2* blurring. BUDA-cEPI reconstruction with S-based low-rank modeling of local
Externí odkaz:
http://arxiv.org/abs/2310.15939