Results 51 to 60 of about 58,990 (298)

Spectrally Tunable 2D Material‐Based Infrared Photodetectors for Intelligent Optoelectronics

Advanced Functional Materials, EarlyView.
Intelligent optoelectronics through spectral engineering of 2D material‐based infrared photodetectors. Abstract The evolution of intelligent optoelectronic systems is driven by artificial intelligence (AI). However, their practical realization hinges on the ability to dynamically capture and process optical signals across a broad infrared (IR) spectrum.
Junheon Ha, Yingshan Ma, Yong Nam An, Sung‐Un An, Hyeon Hak Jung, Suvi‐Tuuli Varjamo, Jiwon Yoo, Junho Min, Hanvit Kim, Faisal Ahmed, Sang Hoon Chae, Young Min Song, Weiwei Cai, Tawfique Hasan, Zhipei Sun, Dong‐Ho Kang, Hyeon‐Jin Shin, Yunyun Dai, Hoon Hahn Yoon   +18 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

LEAD: Literature Enhanced Ab Initio Discovery of Nitride Dusting Layers for Enhanced Tunnel Magnetoresistance and Lower Resistance Magnetic Tunnel Junctions

Advanced Materials, EarlyView.
Magnetic tunnel junctions (MTJs) using MgO tunnel barriers face challenges of high resistance‐area product and low tunnel magnetoresistance (TMR). To discover alternative materials, Literature Enhanced Ab initio Discovery (LEAD) is developed. The LEAD‐predicted materials are theoretically evaluated, showing that MTJs with dusting of ScN or TiN on ...
Sabiq Islam, William S. Rogers, Chen‐Yu Hu, Ming‐Yuan Song, Xinyu Bao, Shehrin Sayed, Jean Anne C. Incorvia   +6 more
wiley   +1 more source

A SEMANTIC 3D POINT CLOUD SEGMENTATION APPROACH BASED ON OPTIMAL VIEW SELECTION FOR 2D IMAGE FEATURE EXTRACTION [PDF]

The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2019
3D semantic segmentation is the joint task of partitioning a point cloud into semantically consistent 3D regions and assigning them to a semantic class/label. While the traditional approaches for 3D semantic segmentation typically rely only on structural
A. Adam, L. Grammatikopoulos, G. Karras, E. Protopapadakis, K. Karantzalos   +4 more
doaj   +1 more source

A self-attention based global feature enhancing network for semantic segmentation of large-scale urban street-level point clouds

International Journal of Applied Earth Observations and Geoinformation, 2022
Point clouds of large-scale urban street scenes contain large quantities of object categories and rich semantic information. The semantic segmentation is the basis and key to subsequent essential applications, such as digital twin engineering and city ...
Qi Chen, Zhenxin Zhang, Siyun Chen, Siyuan Wen, Hao Ma, Zhihua Xu   +5 more
doaj   +1 more source

Semantic scene segmentation for robotics

, 2022
Comprehensive scene understanding is a critical enabler of robot autonomy. Semantic segmentation is one of the key scene understanding tasks which is pivotal for several robotics applications including autonomous driving, domestic service robotics, last mile delivery, amongst many others.
Hurtado, Juana Valeria, Valada, Abhinav
openaire   +2 more sources

Review of Organic Persistent Phosphors: Classifications by Material Forms, Applications, and Mechanisms

Advanced Optical Materials, EarlyView.
Persistent luminescence (PersL), or afterglow, is the phenomenon of light emission that continues long after the excitation source is removed. This review systematically covers the historical development and major material forms of organic PersL materials, detailing their operating principles, mechanisms, and typical applications.
Cunjian Lin, Jumpei Ueda
wiley   +1 more source

PTRSegNet: A Patch-to-Region Bottom–Up Pyramid Framework for the Semantic Segmentation of Large-Format Remote Sensing Images

IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
Semantic segmentation is a basic task in the interpretation of remote sensing images. Mainstream deep-learning-based semantic segmentation algorithms typically process images with small sizes.
Shiyan Pang, Yepeng Shi, Hanchun Hu, Lizhi Ye, Jia Chen   +4 more
doaj   +1 more source

Multi‐similarity based hyperrelation network for few‐shot segmentation

IET Image Processing, 2023
Few‐shot semantic segmentation aims at recognizing the object regions of unseen categories with only a few annotated examples as supervision. The key to few‐shot segmentation is to establish a robust semantic relationship between the support and query ...
Xiangwen Shi, Zhe Cui, Shaobing Zhang, Miao Cheng, Lian He, Xianghong Tang   +5 more
doaj   +1 more source

Flexible Sensor‐Based Human–Machine Interfaces with AI Integration for Medical Robotics

Advanced Robotics Research, EarlyView.
This review explores how flexible sensing technology and artificial intelligence (AI) significantly enhance human–machine interfaces in medical robotics. It highlights key sensing mechanisms, AI‐driven advancements, and applications in prosthetics, exoskeletons, and surgical robotics.
Yuxiao Wang, Zhipeng Jiang, Sun Hwa Kwon, Matthew Ibrahim, Alexander Dang, Lin Dong   +5 more
wiley   +1 more source