Results 111 to 120 of about 5,326,339 (296)

Government informatization model design based on emotional polarity analysis of network media in the context of deep learning [PDF]

PeerJ Computer Science
In response to the extensive and complex public comment data within the government system, this article presents an emotion analysis model for government information based on a dual attention multi-layer convolutional neural network (DA-MLCNN).
Jingyang Tang, Shanbin Zhang, Taiping Deng, Muhammad Sheraz Arshad Malik   +3 more
doaj   +2 more sources

Woodland Labeling in Chenzhou, China, via Deep Learning Approach

International Journal of Computational Intelligence Systems, 2020
In order to complete the task of the woodland census in Chenzhou, China, this paper carries out a remote sensing survey on the terrain of this area to produce a data set, and used deep learning methods to label the woodland.
Wei Wang, Yujing Yang, Ji Li, Yongle Hu, Yanhong Luo, Xin Wang   +5 more
doaj   +1 more source

Multi‐Level Saturation Current Encoding in Two‐Dimensional Ferroelectric Source‐Gated Transistors

Advanced Functional Materials, EarlyView.
A 2D ferroelectric source‐gated transistor (SGT) operates with a non‐volatile, multi‐level saturation current controlled by ferroelectric polarization. Operando electrostatic and photocurrent imaging link the current limitation to source‐side depletion, identifying saturation current as a programmable, read‐bias‐tolerant device parameter toward low ...
Joon‐Seok Kim, Ting‐Ching Chu, Zhehao Zhu, Lincoln J. Lauhon   +3 more
wiley   +1 more source

Improving Fully Convolution Network for Semantic Segmentation

CoRR, 2016
Fully Convolution Networks (FCN) have achieved great success in dense prediction tasks including semantic segmentation. In this paper, we start from discussing FCN by understanding its architecture limitations in building a strong segmentation network. Next, we present our Improved Fully Convolution Network (IFCN). In contrast to FCN, IFCN introduces a
Bing Shuai, Ting Liu 0009, Gang Wang 0012   +2 more
openaire   +2 more sources

Reservoir‐Driven Neuromorphic Computing Based on Composite Rare‐Earth/Transition Metal Oxide Memristor

Advanced Functional Materials, EarlyView.
A defect‐engineered Ag/Gd2O3:Nb2O5/Pt rare earth composite oxide memristor enables stable multilevel reservoir states through pulse driven conductance modulation. Experimentally measured device responses are incorporated into a device aware reservoir computing framework for CIFAR‐100 image classification, highlighting the potential of rare earth ...
Hammad Ghazanfar, Haider Abbas, Muhammad Rabeel, Honggyun Kim, Ghulam Dastgeer, Muhammad Nasim, Furqan Zahoor, Yawar Abbas, Waqas Ahmad, Deok‐kee Kim   +9 more
wiley   +1 more source

A Comparative Study of Five Networks for Reservoir Classification Based on Geophysical Logging Signals

IEEE Access, 2020
Unconventional reservoir classification suffers low accuracy because of the complex geophysical properties. With good performance and moderate cost, geophysical logging is considered to be of great potential as the compromise solution between seismic and
Kai Zhu, Yonghui Du, Qian Wang, Naihua Ji, Li Zhang   +4 more
doaj   +1 more source

Convolutional Network Analysis of Optical Micrographs [PDF]

, 2020
We provide an in-depth convolutional neural network (CNN) analysis of optical responses of liquid crystals (LCs) when exposed to different chemical environments. Our aim is to identify informative features that can be used to construct automated LC-based
Victor M., Zavala, Nicholas L., Abbott, Alexander, Smith   +2 more
core   +1 more source

Intelligent Orthopedics: Machine Learning in Diagnosis of Bone Disease, Implants, and Bone Health Monitoring

Advanced Healthcare Materials, EarlyView.
Efficient recovery from traumatic or degenerative diseases is a great challenge, even after all the advancements in bone and cartilage regeneration. Machine learning (ML) algorithms have presented opportunities to enhance these aspects by accurately analyzing imaging data.
Maryam Kamaei, Hesam Mohammadi, Shamim Golafshan, Mojtaba Alehosseini, Mahsa Mohammadzadeh, Atefeh Golshirazi, Nasim Golafshan, Tatiane Eufrásio‐da‐Silva, Alireza Dolatshahi‐Pirouz, Gorka Orive   +9 more
wiley   +1 more source

Ferroelectric Quantum Dots for Retinomorphic In‐Sensor Computing

Advanced Materials, EarlyView.
This work has provided a protocol for fabricating retinomorphic phototransistors by integrating ferroelectric ligands with quantum dots. The resulting device combines ferroelectricity, optical responsiveness, and low‐power operation to enable adaptive signal amplification and high recognition accuracy under low‐light conditions, while supporting ...
Tingyu Long, Huanyu Zhou, Jaewan Ko, Hongwei Tan, Jaemin Lim, Yanfei Zhao, Daehan Kang, Eojin Yoon, Gyeong‐Tak Go, Somin Kim, Seung‐Woo Lee, Chan‐Yul Park, Hyojun Choi, Hyeran Kim, Hyung Joong Yun, Sung Hyuk Park, Kwan Sik Park, Jeong Woo Park, Mungeun Kim, Yong Soo Cho, Ho Won Jang, Wenqiang Yang, Min Hyuk Park, Wan Ki Bae, Sebastiaan van Dijken, Joona Bang, Tae‐Woo Lee   +26 more
wiley   +1 more source

Bioinspired Adaptive Sensors: A Review on Current Developments in Theory and Application

Advanced Materials, EarlyView.
This review comprehensively summarizes the recent progress in the design and fabrication of sensory‐adaptation‐inspired devices and highlights their valuable applications in electronic skin, wearable electronics, and machine vision. The existing challenges and future directions are addressed in aspects such as device performance optimization ...
Guodong Gong, You Zhou, Qingxiu Li, Wenyu Zhao, Sunyingyue Geng, Hangfei Li, Yan‐Bing Leng, Shirui Zhu, Guanglong Ding, Yongbiao Zhai, Ziyu Lv, Ye Zhou, Su‐Ting Han   +12 more
wiley   +1 more source