Results 221 to 230 of about 1,144,100 (291)

LFD-YOLO: a lightweight fall detection network with enhanced feature extraction and fusion. [PDF]

Sci Rep
Wang H, Xu S, Chen Y, Su C.
europepmc   +1 more source

A Tracer Diffusion Study of Diverse Photo‐Ionic Phenomena in Strontium Titanate

Advanced Functional Materials, EarlyView.
Two strong interfacial photo‐ionic effects are demonstrated for the model system SrTiO3 through the application of isotope exchange experiments: UV illumination is found to enhance the oxygen surface exchange coefficient by several orders of magnitude and to depress the surface space‐charge potential substantially.
David M. Schwenkel, Timon F. Kielgas, George F. Harrington, Roger A. De Souza   +3 more
wiley   +1 more source

An efficient algorithm for pedestrian fall detection in various image degradation scenarios based on YOLOv8n. [PDF]

Sci Rep
Xun J, Wang X, Wang X, Fan X, Yang P, Zhang Z.   +5 more
europepmc   +1 more source

Trap‐Modified Inverted Organic Photodetectors via Layer‐by‐Layer Processing with Poly(N‐vinylcarbazole) Additives

Advanced Functional Materials, EarlyView.
Trap state engineering in inverted organic photodetectors (OPDs) is achieved via combined layer‐by‐layer (LbL) processing and poly(N‐vinylcarbazole) (PVK) incorporation. LbL reduces the trap density while PVK additives gradually shift trap states from shallow band‐edge to deep mid‐gap levels, tailoring the energy distribution.
Jingwei Yi, Yi Yang, Yusen Pei, Apurva Gadikar, Vahid Mahdikhah, Myratgeldi Kotyrov, Seung Hyun Kim, Kenan Gundogdu, Wei You, Harald Ade, Franky So   +10 more
wiley   +1 more source

Non-Contact Fall Detection System Using 4D Imaging Radar for Elderly Safety Based on a CNN Model. [PDF]

Sensors (Basel)
Ahn S, Choi M, Lee J, Kim J, Chung S.
europepmc   +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

SDES-YOLO: A high-precision and lightweight model for fall detection in complex environments. [PDF]

Sci Rep
Huang X, Li X, Yuan L, Jiang Z, Jin H, Wu W, Cai R, Zheng M, Bai H.   +8 more
europepmc   +1 more source

Spatiotemporal Plasma–Mediated Laser Fabrication of Ultrahigh‐Aspect‐Ratio Nanochannel Arrays for Vertical Perovskite Nanowire Semiconductor Devices

Advanced Functional Materials, EarlyView.
A spatiotemporal plasma–mediated laser processing approach is developed to fabricate ultrahigh–aspect ratio nanochannel arrays and corresponding perovskite nanowire arrays within transparent materials for optoelectronics devices. The laser‐fabricated nanochannels serve as templates for controlled perovskite infiltration and crystallization, enabling ...
Taijin Wang, Lingfeng Wang, Feng Liu, Gary J. Cheng   +3 more
wiley   +1 more source

LiteFallNet: A lightweight deep learning model for efficient real-time fall detection. [PDF]

Digit Health
Owusu E, Acquah I, Asare MA, Yeboah BA.
europepmc   +1 more source