Zobrazeno 1 - 10
of 9 804
pro vyhledávání: '"Chang Feng"'
Autor:
Paul, Dipanjyoti, Chowdhury, Arpita, Xiong, Xinqi, Chang, Feng-Ju, Carlyn, David, Stevens, Samuel, Provost, Kaiya L., Karpatne, Anuj, Carstens, Bryan, Rubenstein, Daniel, Stewart, Charles, Berger-Wolf, Tanya, Su, Yu, Chao, Wei-Lun
We present a novel usage of Transformers to make image classification interpretable. Unlike mainstream classifiers that wait until the last fully connected layer to incorporate class information to make predictions, we investigate a proactive approac
Externí odkaz:
http://arxiv.org/abs/2311.04157
Autor:
Ting Wang, Dehua Mao, Enguang Li, Guangwei Hu, Chang Feng, Peiliang Liu, Min Yang, Meirong Deng, Yishu Li
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-14 (2024)
Abstract Analysing non-stationarity in runoff and sediment load is crucial for effective water resource management in the Dongting Lake basin amid climate change and human impacts. Using the Mann-Kendall test, Generalized Additive Models for Location
Externí odkaz:
https://doaj.org/article/6a64017c38724ccf974dd8458d12be87
Autor:
Jia-Qi Luo, Hai-Feng Lu, Yi-Jing Nie, Yu-Hang Zhou, Chang-Feng Wang, Zhi-Xu Zhang, Da-Wei Fu, Yi Zhang
Publikováno v:
Nature Communications, Vol 15, Iss 1, Pp 1-10 (2024)
Abstract Molecular ferroelectrics have made breakthrough progress in intrinsic piezoelectric response that can be on par with advanced inorganic piezoelectric ceramics. However, their successful applications in high-density energy harvesting and self
Externí odkaz:
https://doaj.org/article/321ae2eb368f4cd8bf161a724db4efd0
Autor:
Sarraseca, Marcel, Alcaide, Sergi, Fuentes, Francisco, Rodriguez, Juan Carlos, Chang, Feng, Lasfar, Ilham, Canal, Ramon, Cazorla, Francisco J., Abella, Jaume
Safety-critical systems such as those in automotive, avionics and space, require appropriate safety measures to avoid silent data corruption upon random hardware errors such as those caused by radiation and other types of electromagnetic interference
Externí odkaz:
http://arxiv.org/abs/2307.15436
Autor:
Sahai, Saumya Y., Liu, Jing, Muniyappa, Thejaswi, Sathyendra, Kanthashree M., Alexandridis, Anastasios, Strimel, Grant P., McGowan, Ross, Rastrow, Ariya, Chang, Feng-Ju, Mouchtaris, Athanasios, Kunzmann, Siegfried
We present dual-attention neural biasing, an architecture designed to boost Wake Words (WW) recognition and improve inference time latency on speech recognition tasks. This architecture enables a dynamic switch for its runtime compute paths by exploi
Externí odkaz:
http://arxiv.org/abs/2304.01905
Autor:
Chang, Feng-Ju, Muniyappa, Thejaswi, Sathyendra, Kanthashree Mysore, Wei, Kai, Strimel, Grant P., McGowan, Ross
Personalization in multi-turn dialogs has been a long standing challenge for end-to-end automatic speech recognition (E2E ASR) models. Recent work on contextual adapters has tackled rare word recognition using user catalogs. This adaptation, however,
Externí odkaz:
http://arxiv.org/abs/2303.17799
Autor:
Chang, Feng-Ju, Alexandridis, Anastasios, Swaminathan, Rupak Vignesh, Radfar, Martin, Mallidi, Harish, Omologo, Maurizio, Mouchtaris, Athanasios, King, Brian, Maas, Roland
To achieve robust far-field automatic speech recognition (ASR), existing techniques typically employ an acoustic front end (AFE) cascaded with a neural transducer (NT) ASR model. The AFE output, however, could be unreliable, as the beamforming output
Externí odkaz:
http://arxiv.org/abs/2303.00692
Publikováno v:
Computerized Medical Imaging and Graphics, Volume 101, 2022, 102108, ISSN 0895-6111
Metastasis on lymph nodes (LNs), the most common way of spread for primary tumor cells, is a sign of increased mortality. However, metastatic LNs are time-consuming and challenging to detect even for professional radiologists due to their small sizes
Externí odkaz:
http://arxiv.org/abs/2301.03202
Autor:
Wang, Alan, Chang, Feng Yi, Yousefi, Siavash, Li, Beatrice, Campbell, Brad, Heydarian, Arsalan
Living labs have been established across different countries to evaluate how the interaction between humans and buildings can be optimized to improve comfort, health, and energy savings. However, existing living labs can be too project-specific, not
Externí odkaz:
http://arxiv.org/abs/2212.00008
Autor:
Andreu, Pablo, Hernandez, Carles, Picornell, Tomas, Lopez, Pedro, Alcaide, Sergi, Bas, Francisco, Benedicte, Pedro, Cabo, Guillem, Chang, Feng, Fuentes, Francisco, Abella, Jaume
This paper presents the end-to-end QoS approach to provide performance guarantees followed in the SELENE platform, a high-performance RISC-V based heterogeneous SoC for safety-related real-time systems. Our QoS approach includes smart interconnect so
Externí odkaz:
http://arxiv.org/abs/2210.04683