Results 221 to 230 of about 8,729,056 (252)

Quantized Analog Inference Hardware Enabled by MoS2–Hf1‐xZrxO2 FeFET Synapses

Advanced Science, EarlyView.
A monolayer MoS2–HZO FeFET is presented as a pulse‐engineered neuromorphic device suitable for crossbar‐based analog computing. Programming‐pulse design enables tunable conductance trajectories for synaptic weight updates, while quantized machine‐learning approaches account for device variation, nonlinearity, and write noise, translating analog ...
Jeongmin Park, Moonyoung Jung, Hyo‐Bae Kim, Chanhyuk Park, Seohyun Lee, Ki Kang Kim, Hongkee Yoon, Ji‐Hoon Ahn, Dongseok Suh   +8 more
wiley   +1 more source

A Biomimetic PLK1 Nanodelivery System Promotes Migrasome‐Mediated Mitocytosis to Restore Efferocytosis and Functional Recovery After Spinal Cord Injury

Advanced Science, EarlyView.
MM‐NPs@PLK1 are formed by encapsulating PLK1 plasmids within CBP5 and coating the nanocomplexes with macrophage membranes. After macrophage‐associated uptake, the NPs@PLK1 enter the cytoplasm and release the PLK1‐encoding plasmid in response to elevated intracellular ROS levels.
Zhenxin Hu, Haoli Wang, Jing Huang, Junhua Zhou, Jialong Hou, Hanwei Miao, Huixin Tan, Yining Wang, Hao Hu, Na Li, Pengcheng Qiu, Hongyu Zhang, Da He, Qingqing Wang   +13 more
wiley   +1 more source

Close-Range 3D Hyperspectral Measurement System with a Physics-Guided Spectral Correction Model. [PDF]

Sensors (Basel)
Liu Z, Wan W, Yu Z, Jiang Z, Yu X, Zhang Y, Luo S, Guo Y, Chen K.   +8 more
europepmc   +1 more source

Catheter-Based Renal Denervation in Uncontrolled and Resistant Hypertension: Evidence, Guidelines, Special Populations and Clinical Implementation. [PDF]

J Cardiovasc Dev Dis
Skalidis I, Koliastasis L, Vlachakis PK, Apostolos A, Bozika M, Nastouli KM, Amabile N, Garot P, Hovasse T, Akodad M, D'Angelo L, Neylon A, Unterseeh T, Schreier R, Cioffi GM, Jelisejevas J, Wenaweser P, Meier P, Togni M, Cook S.   +19 more
europepmc   +1 more source

Dynamic Appearance Particle Neural Radiance Field [PDF]

IEEE Transactions on Circuits and Systems for Video Technology
Neural Radiance Fields (NeRFs) have shown great potential in modeling 3D scenes. Dynamic NeRFs extend this model by capturing time-varying elements, typically using deformation fields.
Yusheng Xiang, Ancheng Lin, Mukesh Prasad   +2 more
exaly   +2 more sources

NeRFlex: Flexible Neural Radiance Fields With Diffeomorphic Deformation

IEEE Access
Due to the vast array of NeRF-based techniques, the representation power of Neural Radiance Fields (NeRF) has been quickly rising in recent years. However, it is still difficult to offer fresh perspectives for user-controlled geometry alterations with ...
Jungwoo Lee, Sangwoo Hong
exaly   +2 more sources

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Haptic Rendering of Neural Radiance Fields

Proceedings of the 36th Annual ACM Symposium on User Interface Software and Technology, 2023
Heng Zhang 0030, Lifeng Zhu, Yichen Xiang, Jianwei Zheng, Aiguo Song   +4 more
openaire   +1 more source

Neural Radiance Fields with LiDAR Maps

2023 IEEE/CVF International Conference on Computer Vision (ICCV), 2023
Ming-Fang Chang, Akash Sharma, Michael Kaess, Simon Lucey   +3 more
openaire   +2 more sources

HyperNeRF: a higher-dimensional representation for topologically varying neural radiance fields

ACM Transactions on Graphics, 2021
Peter Hedman, Ricardo Martin-Brualla, Seitzsteven M   +2 more
exaly  

ICARUS: A Specialized Architecture for Neural Radiance Fields Rendering

ACM Transactions on Graphics, 2022
Yueyang Zheng
exaly