Zobrazeno 1 - 10
of 2 973
pro vyhledávání: '"Annan P"'
Publikováno v:
Food Chemistry: X, Vol 17, Iss , Pp 100529- (2023)
Chloropropanols, one of the major contaminants in food, and the corresponding esters or glycidyl esters (GEs) are of great concern in terms of product safety due to their potential carcinogenicity. During heat processing, glycerol, allyl alcohol, chl
Externí odkaz:
https://doaj.org/article/af94be8114194d00875027dea92b51ce
Autor:
Hatami, Parisa, Annan, Richard, Miranda, Luis Urias, Gorman, Jane, Xie, Mengjun, Qingge, Letu, Qin, Hong
Identifying mutations of SARS-CoV-2 strains associated with their phenotypic changes is critical for pandemic prediction and prevention. We compared an explainable convolutional neural network (CNN) and the traditional genome-wide association study (
Externí odkaz:
http://arxiv.org/abs/2410.22452
In non-central heavy-ion collisions, the particle-emitting source can be tilted away from the beam direction, an effect that becomes particularly significant at collision energies of a few GeV and lower. This phenomenon, manifest itself in many obser
Externí odkaz:
http://arxiv.org/abs/2410.15134
Autor:
Lim, Soon Hoe, Wang, Yijin, Yu, Annan, Hart, Emma, Mahoney, Michael W., Li, Xiaoye S., Erichson, N. Benjamin
Flow matching has recently emerged as a powerful paradigm for generative modeling and has been extended to probabilistic time series forecasting in latent spaces. However, the impact of the specific choice of probability path model on forecasting per
Externí odkaz:
http://arxiv.org/abs/2410.03229
State space models (SSMs) leverage linear, time-invariant (LTI) systems to effectively learn sequences with long-range dependencies. By analyzing the transfer functions of LTI systems, we find that SSMs exhibit an implicit bias toward capturing low-f
Externí odkaz:
http://arxiv.org/abs/2410.02035
Autor:
Jiang, Hao, Zhang, Haoxiang, Hou, Qingshan, Chen, Chaofeng, Lin, Weisi, Zhang, Jingchang, Wang, Annan
Providing high-quality item recall for text queries is crucial in large-scale e-commerce search systems. Current Embedding-based Retrieval Systems (ERS) embed queries and items into a shared low-dimensional space, but uni-modality ERS rely too heavil
Externí odkaz:
http://arxiv.org/abs/2408.14968
Recent advancements in large language models (LLMs) have showcased impressive code generation capabilities, primarily evaluated through language-to-code benchmarks. However, these benchmarks may not fully capture a model's code understanding abilitie
Externí odkaz:
http://arxiv.org/abs/2408.10718
Gait recognition has attracted increasing attention from academia and industry as a human recognition technology from a distance in non-intrusive ways without requiring cooperation. Although advanced methods have achieved impressive success in lab sc
Externí odkaz:
http://arxiv.org/abs/2408.06834
Autor:
Chen, Chaofeng, Yang, Sensen, Wu, Haoning, Liao, Liang, Zhang, Zicheng, Wang, Annan, Sun, Wenxiu, Yan, Qiong, Lin, Weisi
Recent advances of large multi-modality models (LMM) have greatly improved the ability of image quality assessment (IQA) method to evaluate and explain the quality of visual content. However, these advancements are mostly focused on overall quality a
Externí odkaz:
http://arxiv.org/abs/2407.17035
Autor:
Li, Sizhe Lester, Zhang, Annan, Chen, Boyuan, Matusik, Hanna, Liu, Chao, Rus, Daniela, Sitzmann, Vincent
Mirroring the complex structures and diverse functions of natural organisms is a long-standing challenge in robotics. Modern fabrication techniques have dramatically expanded feasible hardware, yet deploying these systems requires control software to
Externí odkaz:
http://arxiv.org/abs/2407.08722