Results 171 to 180 of about 11,512 (225)

Automatic Recognition of Dual-Component Radar Signals Based on Deep Learning. [PDF]

Sensors (Basel)
Tang Z, Shen H, Lam CT.
europepmc   +1 more source

Cortical Oscillatory Activity and Motor Control in Pediatric Stroke Patients With Hemidystonia. [PDF]

Hum Brain Mapp
Hsu P, Jobst C, Isabella SL, Domi T, Westmacott R, Dlamini N, Cheyne D.   +6 more
europepmc   +1 more source

Women's health and female fertility: current evidence and knowledge gaps in the Asia-Pacific region. [PDF]

Lancet Reg Health West Pac
Yang J, Pang WW, Yu G, Antero J, Li LJ, Huang Z, Zhang C.   +6 more
europepmc   +1 more source

Actively Targeted Nanoparticles for Enhanced Diagnosis, Treatment, and Vaccination of Tuberculosis: A Systematic Review. [PDF]

Int J Nanomedicine
Cung J, Husni P, Oh KT.
europepmc   +1 more source

Systematic investigation of TetR-family transcriptional regulators and their roles on lignocellulosic inhibitor acetate tolerance in Zymomonas mobilis. [PDF]

Front Bioeng Biotechnol
Xiao Y, Qin T, He S, Chen Y, Li H, He Q, Wang X, Yang S.   +7 more
europepmc   +1 more source

Contextual expectations in the real-world modulate low-frequency neural oscillations. [PDF]

Imaging Neurosci (Camb)
Nicholls VI, Krugliak A, Alsbury-Nealy B, Gramann K, Clarke A.   +4 more
europepmc   +1 more source

Concomitant use of interleukin-2 and tacrolimus suppresses follicular helper T cell proportion and exerts therapeutic effect against lupus nephritis in systemic lupus erythematosus-like chronic graft versus host disease. [PDF]

Front Immunol
Nasa Y, Satake A, Tsuji R, Saito R, Tsubokura Y, Yoshimura H, Ito T.   +6 more
europepmc   +1 more source

Dynamic and task-dependent decoding of the human attentional spotlight from MEG

Mostafalu M, Clausner T, Shelepenkov D, Mattout J, Ben Hamed S, Bonnefond M.   +5 more
europepmc   +1 more source

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Thai fruit recognition system (TFRS)

Proceedings of the First International Conference on Internet Multimedia Computing and Service, 2009
The main objective of this research is to develop a computer system that can recognize Thai fruit by using image processing techniques. Our system is called "Thai Fruit Recognition System (TFRS)". The system consists of four major components, which are: 1) image acquisition, 2) image preprocessing, 3) recognition, and displaying result.
Chomtip Pornpanomchai, Khomkhwan Srikeaw, Voranun Harnprasert, Kamonwan Promnurakkit   +3 more
openaire   +2 more sources