Results 61 to 70 of about 293,454 (315)
FEBS Letters, EarlyView.Ascidian Ciona larvae initially show strong clockwise tail twisting, which is largely corrected during development. However, a small residual twist remains. This study shows that organized helical myofibrils in tail muscles mechanically stabilize this residual asymmetry, preventing complete restoration of bilateral symmetry and revealing how embryos ...
Yuki S. Kogure +3 more
wiley +1 more source
Static 3D Triangle Mesh Compression Overview
, 2008 3D triangle meshes are extremely used to model discrete surfaces, and almost always represented with two tables: one for geometry and another for connectivity.
Marcos Aviles +3 more
core +1 more source
Research on Lightweight Open-Pit Mine Driving Obstacle Detection Algorithm Based on Improved YOLOv8s
Applied SciencesThe road environment of open-pit mines is complex and unstructured. Unmanned construction machinery driving faces huge challenges. Improving the accuracy and speed of obstacle detection during driving is of great significance to ensuring the safety of ...
Bo Xu +5 more
doaj +1 more source
A survey of model compression for deep neural networks
工程科学学报, 2019 In recent years, deep neural networks (DNN) have attracted increasing attention because of their excellent performance in computer vision and natural language processing.
LI Jiang-yun +4 more
doaj +1 more source
The Compressed Model of Residual CNDS
CoRR, 2017 Convolutional neural networks have achieved a great success in the recent years. Although, the way to maximize the performance of the convolutional neural networks still in the beginning. Furthermore, the optimization of the size and the time that need to train the convolutional neural networks is very far away from reaching the researcher's ambition ...
Hussam Qassim +2 more
openaire +2 more sources
FEBS Letters, EarlyView.Septin 9 polybasic domains couple phosphoinositide‐rich membrane binding to centrosome positioning, Golgi organization, and microtubule acetylation to control epithelial polarity. Their loss disrupts this axis, causing centrosome mispositioning, Golgi fragmentation, reduced microtubule acetylation, and polarity inversion via upregulation of the ...
Ting ting Cai +4 more
wiley +1 more source
Knowledge distillation for spiking neural networks: aligning features and saliency
Neuromorphic Computing and EngineeringSpiking neural networks (SNNs) are renowned for their energy efficiency and bio-fidelity, but their widespread adoption is hindered by challenges in training, primarily due to the non-differentiability of spiking activations and limited representational ...
Yifan Hu, Guoqi Li, Lei Deng
doaj +1 more source
Big Data Mining and AnalyticsTo enhance the ability of Cyber Physical Social Intelligence (CPSI) to process three-dimensional spatial information, we investigate the problem of object detection in 3D Light laser Detection And Ranging (LiDAR) point clouds.
Xinhong Liu +3 more
doaj +1 more source
Modulation of Homer1 EVH1 domain internal dynamics by putative autism‐associated mutations
FEBS Letters, EarlyView.The putative autism‐associated M65I and S97L variants of the EVH1 domain of the postsynaptic scaffold protein Homer1 do not exhibit substantial changes in their overall structure or partner binding. Both of them, but especially the M65I variant, show altered internal dynamics relative to the wild‐type domain on the μs‐ms timescale, indicated by the ...
Fanni Farkas +6 more
wiley +1 more source
IEEE Access, 2020 High computational requirement and rigorous memory cost are the significant issues which limit Convolutional Neural Networks' deployability in resource-constrained environments typically found in edge devices of Internet-of-Things (IoT).
Yang Li, Yuanyuan Bao, Wai Chen
doaj +1 more source