Results 111 to 120 of about 376,317 (337)

Hierarchical Reconfigurable Metasurface Based on Scenario‐Guided Functional Modules and Programmable Core

Advanced Science, EarlyView.
This paper proposes a hierarchical reconfigurable metasurface architecture (HRMA) to achieve comprehensive electromagnetic parameter modulation and on‐demand polymorphic function switching. The reconfigurable metasurface is divided into a programmable core (PC) and scenario‐guided functional modules (FMs), exhibiting significant flexibility and ...
Lihao Zhu, Jiaqi Han, Zhe Zheng, Qiang Feng, Dexiao Xia, Xiangjin Ma, Yajie Mu, Guoliang Luo, Rui Li, Haixia Liu, Hao Xue, Long Li   +11 more
wiley   +1 more source

Approximate search with quantized sparse representations [PDF]

, 2016
Himalaya Jain, Patrick Pérez, Rémi Gribonval, Joaquin Zepeda, Hervé Jeǵou   +4 more
openalex   +1 more source

Fabrication of High‐Density Multimodal Neural Probes Based on Heterogeneously Integrated CMOS

Advanced Science, EarlyView.
A chiplet‐based methodology democratizes active neural probe development on standard bulk CMOS services. This yields the first probe combining high‐density electrophysiology (416 electrodes) with calcium imaging (832 photodiodes) and complete on‐chip signal processing across 13 shanks.
Ju Hee Mun, Miji Kim, Wooyeon Shin, Yongjun Park, Kanghwan Kim, Il‐Joo Cho, Jae Won Shim, Min Soo Kim, Sunwoo Lee, Jeongjin Kim, Changhyuk Lee   +10 more
wiley   +1 more source

Feasibility Study of Edge Computing Empowered by Artificial Intelligence—A Quantitative Analysis Based on Large Models

Big Data and Cognitive Computing
The advancement of artificial intelligence (AI) demands significant data and computational resources that have an adverse impact on the environment. To address this issue, a novel computing architecture that is both energy efficient and eco-friendly is ...
Yan Chen, Chaonan Wu, Runqi Sui, Jingjia Zhang   +3 more
doaj   +1 more source

Angular Deep Supervised Hashing for Image Retrieval

IEEE Access, 2019
Deep learning based image hashing methods learn hash codes by using powerful feature extractors and nonlinear transformations to achieve highly efficient image retrieval. For most end-to-end deep hashing methods, the supervised learning process relies on
Chang Zhou, Lai-Man Po, Wilson Y. F. Yuen, Kwok Wai Cheung, Xuyuan Xu, Kin Wai Lau, Yuzhi Zhao, Mengyang Liu, Peter H. W. Wong   +8 more
doaj   +1 more source

Functorial Hodge identities and quantization [PDF]

, 2003
Marcus J. Slupinski
openalex   +1 more source

Discovering Interpretable Semantics from Radio Signals for Contactless Cardiac Monitoring

Advanced Science, EarlyView.
This study presents a semantic representation framework for clinically interpretable cardiac monitoring from contactless radio signals. It formulates radio semantic learning as an information‐bottleneck problem and approximates the objective via intra‐modal compression and cross‐modal alignment, structuring radio measurements into meaningful semantic ...
Jinbo Chen, Haoyu Wang, Guixin Xu, Yuqin Yuan, Xinmeng Cai, Zhengwu Wei, Dongheng Zhang, Qibin Sun, Tianwei Zhang, Cuntai Guan, Yan Chen   +10 more
wiley   +1 more source

Quantized Microcavity Polariton Lasing Based on InGaN Localized Excitons

Nanomaterials
Exciton–polaritons, which are bosonic quasiparticles with an extremely low mass, play a key role in understanding macroscopic quantum effects related to Bose–Einstein condensation (BEC) in solid-state systems.
Huying Zheng, Runchen Wang, Xuebing Gong, Junxing Dong, Lisheng Wang, Jingzhuo Wang, Yifan Zhang, Yan Shen, Huanjun Chen, Baijun Zhang, Hai Zhu   +10 more
doaj   +1 more source

On invariant quantization of non-Abelian gauge fields [PDF]

, 2012
J. Manjavidze
openalex   +1 more source

Quantized Dirac operators

Czechoslovak Journal of Physics, 2000
To appear in the Proceedings of the Quantum Groups And Integrable Systems meeting in Prag, June 22-24 2000.
openaire   +2 more sources