Results 111 to 120 of about 1,035,733 (338)

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

Study on the Relationship between Groundwater and Land Subsidence in Bangladesh Combining GRACE and InSAR

Remote Sensing
Due to a heavy reliance on groundwater, Bangladesh is experiencing a severe decline in groundwater storage, with some areas even facing land subsidence.
Liu Ouyang, Zhifang Zhao, Dingyi Zhou, Jingyao Cao, Jingyi Qin, Yifan Cao, Yang He   +6 more
doaj   +1 more source

Remote Monitoring Checklist for Radial Sites : Remote monitoring , 11 August 2011

, 2011
Some basic daily and weekly checks of diagnostics and data quality will help in network maintenance and remote troubleshooting and early detection of any problems creeping up resulting in less downtime and overall time and cost savings. Published Non Refereed Current 14.a Surface currents Pilot or Demonstrated Validated (tested by third parties) Multi ...
openaire   +2 more sources

Integration Remote Sensing and Meteorological Data to Monitoring Plant Phenology and Estimation Crop Coefficient and Evapotranspiration [PDF]

, 2022
Diaa F. Hassan, Aysar Jameel Abdalkadhum, Rafal Mohammed, Amin Shaban   +3 more
openalex   +1 more source

DNA‐Templated 2D Heterostructures as Phototriggered Dynamic Nanohybrids: From Releasing Molecular Loads to Controlling Enzyme Biocatalytic Function

Advanced Functional Materials, EarlyView.
DNA strands are employed both as dynamic linkers and nanoscale templates for the integration of Ag2S nanoparticles on MoS2, which in turn imparted photothermal responsiveness; this feature permits the selective cargo (fluorophore, quantum dots or an enzyme) release from the MoS2 surface in response to local heat induced by light irradiation.
Kai Chen, Haosen Miao, Weiying Hong, Matteo Palma   +3 more
wiley   +1 more source

Application of multiple machine learning models to rainstorm disaster loss assessment and driving mechanism analysis in Zhejiang Province, China

Journal of Hydrology: Regional Studies
Study region: This study targets 76 counties in Zhejiang Province, China, frequently affected by rainstorm disasters. Study focus: Rainstorm-induced losses arise from complex interactions between extreme weather and human-environment systems.
Jiayi Fang, Peng Xie, Jionghao Huang, Wanchao Bian, Ying Li, Pin Wang, Shao Sun, Feng Kong, Tangao Hu   +8 more
doaj   +1 more source

Design and Implementation of Remote Medical Monitoring System for Homecare [PDF]

, 2016
Juan Zhong, Hua Liao
openalex   +1 more source

Use of remote sensing in agriculture [PDF]

Remote sensing studies in Virginia and Chesapeake Bay areas to investigate soil and plant conditions via remote sensing technology are reported ant the results given. Remote sensing techniques and interactions are also discussed.
Newhouse, M. E., Pettry, D. E., Powell, N. L.   +2 more
core   +1 more source

Frequency division multiplex technique [PDF]

, 1973
A system for monitoring a plurality of condition responsive devices is described. It consists of a master control station and a remote station. The master control station is capable of transmitting command signals which includes a parity signal to a ...
Brey, H.
core   +1 more source

Smarter Sensors Through Machine Learning: Historical Insights and Emerging Trends across Sensor Technologies

Advanced Functional Materials, EarlyView.
This review highlights how machine learning (ML) algorithms are employed to enhance sensor performance, focusing on gas and physical sensors such as haptic and strain devices. By addressing current bottlenecks and enabling simultaneous improvement of multiple metrics, these approaches pave the way toward next‐generation, real‐world sensor applications.
Kichul Lee, Osman Gul, Yeongjae Kwon, Jaeseok Jeong, Seokjoo Cho, Jihyeon Ahn, Jehee Yu, Cheolmin Kim, Donho Lee, Hyeonseok Han, Byeongju Lee, Jungrak Choi, Ji‐Hwan Ha, Yongrok Jeong, Kyungnam Kang, Ali Javey, Junseong Ahn, Inkyu Park   +17 more
wiley   +1 more source