Results 181 to 190 of about 921,934 (330)

State of the AI: Post-Deployment Monitoring of Radiology-Focused Internally Developed AI. [PDF]

Mayo Clin Proc Digit Health
Cook CJ, Klug JR, Kandler BW, Baez-Suarez A, Dachowicz AP, Blezek DJ, Missert AD, Conte GM, Benfield JD, Mensing-Diggs A, Edwards MT, Powell MA, Sheedy EN, Meyer HM, Melnick J, Flor BF, Vidal DE, Sorin V, Erdal BS, Langer SG, Collins JD, Williamson EE, Korfiatis P, Kline TL.   +23 more
europepmc   +1 more source

Joint Control of Radiated and Surface Waves via Space‐Time Coding Metasurfaces

Advanced Functional Materials, EarlyView.
A unified space‐time coding metasurface platform enables simultaneous control of radiated and surface‐confined waves across multiple harmonics. Demonstrated functionalities include multi‐frequency beam shaping; surface‐wave excitation, and hybrid multiplexing.
Zihao Dai, Yi Ning Zheng, Lei Zhang, Xiao Qing Chen, Giuseppe Castaldi, Tie Jun Cui, Vincenzo Galdi   +6 more
wiley   +1 more source

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

Novel transformer-based model for NID in fog computing environment. [PDF]

Sci Rep
Abdelnaby KM, Khedr AY, Elsemary AM.
europepmc   +1 more source

Making Quickhull More Like Quicksort: A Simple Randomized Output-Sensitive Convex Hull Algorithm [PDF]

Michael T. Goodrich, Ryuto Kitagawa
openalex   +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

Hyperchaos and the fusion of Moore's automaton with gold sequences for augmented medical image encryption. [PDF]

Sci Rep
Gabr M, Mamdouh E, El-Damak D, El-Aasser M, Alexan W, Aboshousha A.   +5 more
europepmc   +1 more source

Output-size sensitive algorithms for constructive problems in computational geometry

, 1987
Raimund Seidel
openalex   +1 more source

Output sensitive algorithm for covering many points [PDF]

, 2013
Hossein Ghasemalizadeh, Mohammadreza Razzazi   +1 more
openalex   +1 more source

Incremental Convex Hull Algorithms Are Not Output Sensitive

International Symposium on Algorithms and Computation, 1996
David Bremner
semanticscholar   +1 more source