3d convolutional neural network - Open Access .click

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Convolutional neural network features for visual tracking. [PDF]

, 2016
Convolutional Neural Network Features for Visual ...
Namajūnas, Ignas,
core

Neuromorphic Devices and Computing for Sensing, Memory, and Control

Advanced Science, EarlyView.
This review introduces neuromorphic devices made from diverse materials. These devices mimic neuronal functions and architectures and, when integrated with artificial or biological computing, can form closed loops with neurons for pressure, optical, acoustic, and biochemical sensing and modulation.
Zhengguang Zhu, Nicholas Schaffer, Xiao Yang +2 more
wiley +1 more source

A Synthesizing Semantic Characteristics Lung Nodules Classification Method Based on 3D Convolutional Neural Network. [PDF]

Bioengineering (Basel), 2023
Dong Y, Li X, Yang Y, Wang M, Gao B.
europepmc +1 more source

Tatto detection using convolutional neural network. [PDF]

, 2019
Tatto Detection Using Convolutional Neural ...
Karmanovas, Saulius,
core

Analog Synaptic Plasticity in 2D Layered Material Iontronic Memtransistors for Brain‐Inspired Computing

Advanced Science, EarlyView.
In this work, we demonstrated a robust 2D MoS2 based iontronic memtransistor of planar architecture operated under the influence of an electrical double layer with versatile performance and applications, including pinched hysteresis nature of transfer curve, analogue channel conductance tuning, low‐voltage operation, logic‐gate operation, classical ...
Puranjay Saha, Saptarshi Bej, Bikas C. Das +2 more
wiley +1 more source

Basketball teaching methods based on 3D-Convolutional neural network

Systems and Soft Computing
To address the shortcomings of current basketball teaching methods, which rely heavily on human experience, have low teaching efficiency, and make personalized feedback difficult to achieve, the intelligent recognition of technical actions has become an ...
Chao Huang, Xian Wu
doaj +1 more source

Retracted: Dynamic Gesture Recognition Algorithm Based on 3D Convolutional Neural Network. [PDF]

Comput Intell Neurosci, 2023
Intelligence And Neuroscience C.
europepmc +1 more source

Large receptive field convolutional neural network for image super-resolution

, 2017
This paper presents a new approach to Single Image Super Resolution (SISR), based upon Convolutional Neural Network (CNN). Although the SISR is ill-posed which can be seen as finding a non-linear mapping from a low to high dimensional space.
Wang Q(王强) +3 more
core

Multi‐Omics Integration Identifies a CDH3‐Associated Malignant Epithelial State and Immunosuppressive Niche to Predict Prognosis in Thymic Epithelial Tumors

Advanced Science, EarlyView.
Single‐cell, spatial, molecular, and pathology analyses identify a CDH3‐associated malignant epithelial state in thymic epithelial tumors. This state links stem‐like and EMT programs to M2 macrophage–rich immunosuppressive niches, genomic instability, poor survival, and drug vulnerability.
Yuntao Feng +13 more
wiley +1 more source

Learning Work Function via Implicit Reasoning on Electrostatic Potential Landscapes

Advanced Science, EarlyView.
StructPot‐CLR establishes a cross‐modal contrastive learning framework that aligns the crystal structures of 2D materials with plane‐averaged electrostatic potential landscapes for physically informed work‐function prediction. The model achieves an MAE of 0.265 eV and an R2 of 0.902 on the held‐out test set while accurately preserving key morphological
Haoyu Wan, Yue Wu, Tianhao Su, Deng Pan
wiley +1 more source

deep learning
convolutional neural network