Results 171 to 180 of about 794,481 (215)

Thin fabric pressure sensors and TinyML smart gloves for edge IoT. [PDF]

iScience
Nguyen TN, Vu CC, Nguyen VH, Phan VC.
europepmc   +1 more source

Phase I/II, open-label, multicenter study of durvalumab in combination with tremelimumab in pediatric patients with advanced solid tumors. [PDF]

Front Oncol
Hargrave D, Marshall LV, André N, Krystal J, Ladle BH, Robbins KA, Hois S, Armstrong J, Donegan S.   +8 more
europepmc   +1 more source

Automated craniofacial biometry with 3D T2w fetal MRI. [PDF]

PLOS Digit Health
Matthew J, Uus A, Egloff Collado A, Luis A, Arulkumaran S, Fukami-Gartner A, Kyriakopoulou V, Cromb D, Wright R, Colford K, Deprez M, Hutter J, O'Muircheartaigh J, Malamateniou C, Razavi R, Story L, Hajnal JV, Rutherford MA.   +17 more
europepmc   +1 more source

MRI diagnosis of preterm prelabor rupture of membranes and uterine puncture site-amniotic cavity fistula following fetoscopic laser photocoagulation. [PDF]

BMC Pregnancy Childbirth
Wang Y, Ning G, Sun Y, Qu H.
europepmc   +1 more source

Long-Term Analysis of NRG Oncology RTOG 0539: A Phase II Trial of Observation for Low-Risk Meningioma and Radiotherapy for Intermediate- and High-Risk Meningioma. [PDF]

J Clin Oncol
Kotecha R, Polley MY, Vogelbaum MA, Perry A, Ashby L, Modi JM, Alleman AM, Tsien CI, Barani IJ, Li J, Braunstein S, Whitton AC, Bovi JA, Deb N, Lindhorst SM, Shrieve DC, Robinson CG, Shu HG, Vempati P, Mishra MV, Suh JH, Bloom B, Hunter GK, Won M, Mehta MP, Rogers CL.   +25 more
europepmc   +1 more source

One-Month Changes in Choroidal Vascularity Index of Medium Vessel Layer in Children with Myopia Wearing Orthokeratology Lenses: a Predictor for One-Year Changes in Axial Length. [PDF]

Ophthalmol Ther
Li J, Rong B, Zhu L, Zhu R, Rong X, Wang Y, Zhang Y, Gu X, Zeng S, Lu Y, Yang L.   +10 more
europepmc   +1 more source

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Integration of multiple soft biometrics for human identification

Pattern Recognition Letters, 2015
A new local feature descriptor is proposed for facial shape representation.The performance on still and surveillance face datasets is comparable to the state of the arts.We present experimental findings on integration of face and body based soft biometrics.Five score fusion techniques are examined to determine the most reliable method.Fuzzy logic is ...
Salman Yussof, Sharifah Mumtazah Syed Ahmad, Olasimbo Ayodeji Arigbabu   +2 more
exaly   +3 more sources

Facial Soft Biometrics for Recognition in the Wild: Recent Works, Annotation, and COTS Evaluation [PDF]

IEEE Transactions on Information Forensics and Security, 2018
© 2018 IEEE.  Personal use of this material is permitted.  Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new ...
Fernando Alonso-Fernández, Ester Gonzalez-Sosa, Ruben Vera-Rodriguez   +2 more
exaly   +2 more sources

Soft Biometrics; Human Identification Using Comparative Descriptions

IEEE Transactions on Pattern Analysis and Machine Intelligence, 2014
Soft biometrics are a new form of biometric identification which use physical or behavioral traits that can be naturally described by humans. Unlike other biometric approaches, this allows identification based solely on verbal descriptions, bridging the ...
Mark S Nixon, Sarah Stevenage
exaly   +2 more sources

Soft biometrics—combining body weight and fat measurements with fingerprint biometrics

Pattern Recognition Letters, 2006
The aim of this study was to examine whether using soft biometrics, i.e. easily measurable personal characteristics, such as weight and fat percentage, can improve the performance of biometrics in verification type applications.
Johannes Peltola, Satu-Marja Mäkelä, Heikki Ailisto   +2 more
exaly   +2 more sources