Results 191 to 200 of about 525,499 (288)

Binary classification of signal and background triggers of a transition edge sensor using convolutional neural networks. [PDF]

Sci Rep
Rivasto E, Isleif KS, Januschek F, Lindner A, Meyer M, Othman G, Rubiera Gimeno JA, Schwemmbauer C.   +7 more
europepmc   +1 more source

ROBUST FACE ALIGNMENT USING CONVOLUTIONAL NEURAL NETWORKS

, 2008
Stefan Duffner, Christophe García
openalex   +1 more source

From Natural Discovery to AI‐Guided Design: A Curated Collection of Compact Enhancers for Crop Engineering

Advanced Science, EarlyView.
ABSTRACT Precise transgene‐free gene upregulation remains a challenge in crop biotechnology, as conventional enhancers often exceed CRISPR‐mediated knock‐in size constraints and face regulatory hurdles. Here we establish a foundational cross‐species resource of compact transcriptional enhancers developed via STEM‐seq, a high‐throughput screening ...
Qi Yao, Jin Gao, Keling Wang, Yufeng Liu, Peijin Han, Hong Pan, Xiaofeng Yang, Qianlan Yin, Dating Zhong, Lu Ye, Qi Deng, Lingling Gao, Xiaoyu Tu, Dequan Wang, Yuming Lu   +14 more
wiley   +1 more source

Dysarthria Severity detection Using Recurrent and Convolutional Neural Networks

Al-Lisaniyyat
The diagnosis and monitoring of dysarthria, a speech disorder caused by neuro-motor problems that affect articulation, depend on a precise evaluation of its severity. When creating automated systems to identify and categorize dysarthric speech, accurate
Amina Hamza, Djamel Addou
doaj  

Emergent neuronal mechanisms mediating covert attention in convolutional neural networks. [PDF]

Proc Natl Acad Sci U S A
Srivastava S, Wang WY, Eckstein MP.
europepmc   +1 more source

CrescendoNet: A Simple Deep Convolutional Neural Network with Ensemble Behavior [PDF]

, 2017
Xiang Zhang, Nishant Vishwamitra, Hongxin Hu, Feng Luo   +3 more
openalex   +1 more source

Curvy Surface Reconstruction

Advanced Science, EarlyView.
This review introduces the concept of “general curvy surface reconstruction,” which incorporates both geometric and physical dimensions, representing an upgrade over conventional geometric reconstruction that focuses solely on spatial relationships. Particular emphasis is placed on the emerging opportunities enabled by advanced measurement techniques ...
Chen Shang, Haoyu Qi, Zhigang Wang, Keyu Meng, Zeye Liu, Zeng Meng, Yu Yang, Jianjun Wang, Shan Jiang   +8 more
wiley   +1 more source

PotatoLeafNet: two-stage convolutional neural networks for effective Potato Leaf disease identification and classification. [PDF]

Front Artif Intell
Bhavani GD, Chalapathi MMV.
europepmc   +1 more source

Portable, Intelligent Miecl Sensing Platform for Ciprofloxacin Detection Using a Fast Convolutional Neural Networks-Assisted Tb@Lu2o3 Nanoemitter

, 2023
Zhiwei Lu, Yonghui Gong, Chengao Shen, Hao Chen, Weiling Zhu, Tao Liu, Wu Chun, Mengmeng Sun, Gehong Su, Xianxiang Wang, Yanying Wang, Jianshan Ye, Hanbing Rao   +12 more
openalex   +1 more source

Deformation Prediction of 4D‐Printed Active Composite Structures Based on Data Mining

Advanced Science, EarlyView.
A curvature‐driven sequence point generation (CSPG) algorithm based on data mining is proposed to predict the deformation of double‐layer voxelized composite structures of arbitrary lengths. In addition, the CSPG algorithm is applied to predict the deformation of 2D and 3D structures assembled from beam elements, and its effectiveness is validated ...
Mengtao Wang, Yifan Xu, Zaiyang Liu, Hidemitsu Furukawa, Zhongkui Wang, Ren Xu, Lin Meng   +6 more
wiley   +1 more source