Results 71 to 80 of about 5,327,863 (254)

Organic Materials of Tomorrow: Horizons of Artificial Intelligence

Advanced Materials, EarlyView.
This review examines machine learning techniques accelerating the discovery of organic semiconductors by linking molecular structure to properties. Key methods include graph neural networks, generative models, and active learning. Applications to organic photovoltaics demonstrate practical impact.
Harold Mena, J. Terence Blaskovits, Kun‐Han Lin, Denis Andrienko   +3 more
wiley   +1 more source

Convolutional Neural Network Model Based on Local Feature [PDF]

Jisuanji gongcheng, 2018
The traditional Convolutional Neural Network(CNN) is difficult to obtain high recognition rate when the feature of the input image is not obvious.To solve this problem,this paper conatrusts Convolutional Neural Network model Based on Local Feature(CNN-LF)
SHI En,LI Qian,GU Daquan,ZHAO Zhangming
doaj  

Noise‐Tunable Memristor Enabling Programmable Probabilistic Neurons for Frequency‐Selective Time‐Series Signal Encoding

Advanced Materials, EarlyView.
Memristors offer tunable resistance and intrinsic instability, making them promising tunable noise sources. We propose a spiking‐rate‐programmable probabilistic neuron using a Ru/TaOx/Pt memristor, where resistance‐dependent noise enables frequency‐selective encoding.
Do Hoon Kim, Seoeun Jang, Hakseung Rhee, Min Gu Lee, Daehee Kim, Taewook Go, Woon Hyung Cheong, Hanchan Song, Kyung Min Kim   +8 more
wiley   +1 more source

Convolutional Neural Network Long Short-Term Memory (CNN + LSTM) for Histopathology Cancer Image Classification

, 2020
Deep learning algorithm such as Convolutional Neural Networks (CNN) is popular in image recognition,object recognition, scene recognition and face recognition.
Siti Mariyam Shamsuddin, Shafaatunnur Hasan, Zainudin, Zanariah, Hasan, Shafaatunnur, Shamsuddin, Siti Mariyam, Zanariah Zainudin   +5 more
core   +1 more source

Toward Perception‐Native Electronic Skin: Bio‐Inspired In‐/Near‐Sensor and Neuromorphic Computing for Humanoid Robots

Advanced Materials Technologies, EarlyView.
Dense tactile streams from across the humanoid body converge on collide in a central wiring and data bottleneck. By relocating computation closer to and then into the skin itself, near‐ and in‐sensor architectures, together with neuromorphic computing, chart a path toward perception‐native electronic skin, in which the conversion of stimulus into ...
Mijin Kim, Chang‐Jae Beak, Jiyoung Park, Youngdo Jung, Sunjong Oh, Sin‐Hyung Lee, Bo‐Yeon Lee   +6 more
wiley   +1 more source

On‐Chip Photonic Neural Network Architectures

Advanced Optical Materials, EarlyView.
This review presents a comprehensive overview of on‐chip photonic neural network architectures, covering key photonic building blocks, representative network types, and emerging applications. Recent advances, implementation challenges, and future directions are examined, highlighting the potential of integrated photonics to enable ultrafast, energy ...
Seokjin Hong, Berkay Neseli, Seungyeon Cho, Seungsoo Lee, Yeonjun Kim, Seungyoon Choi, Hyo‐Hoon Park, Hamza Kurt   +7 more
wiley   +1 more source

3D Printing of Soft Robotic Systems: Advances in Fabrication Strategies and Future Trends

Advanced Robotics Research, EarlyView.
Collectively, this review systematically examines 3D‐printed soft robotics, encompassing material selections, function integration, and manufacturing methodologies. Meanwhile, fabrication strategies are analyzed in order of increasing complexity, highlighting persistent challenges with proposed solutions.
Changjiang Liu, Bin Cui, Xumin Huang, Xiaoyu (Rayne) Zheng, T. Thang Vo‐Doan, Ruirui Qiao   +5 more
wiley   +1 more source

A novel reflectance transformation and convolutional neural network framework for generating bathymetric data for long rivers: A case study on the Bei River in South China

International Journal of Applied Earth Observations and Geoinformation
Satellite-derived bathymetry plays a significant role in characterizing river systems, furnishing invaluable insights for applications such as flood risk management.
Ting On Chan, Simin Zhang, Linyuan Xia, Ming Luo, Jinhua Wu, Joseph Awange   +5 more
doaj   +1 more source

Rotational Objects Recognition and Angle Estimation via Kernel-Mapping CNN

IEEE Access, 2019
Convolutional neural network (CNN) has become the mainstream method in the field of image recognition for its excellent ability to feature extraction.
Yuanyuan Zhou, Jun Shi, Xiaqing Yang, Chen Wang, Shunjun Wei, Xiaoling Zhang   +5 more
doaj   +1 more source

Supplemental material: Imaging methods and convolutional neural network (CNN) models

, 2022
Imaging methods and convolutional neural network (CNN) modelsTHIS DATASET IS ARCHIVED AT DANS/EASY, BUT NOT ACCESSIBLE HERE.
Felmingham, C (via Mendeley Data)
core   +1 more source