Results 51 to 60 of about 9,828,805 (358)

A Review of EEG Signal Features and Their Application in Driver Drowsiness Detection Systems

Italian National Conference on Sensors, 2021
Detecting drowsiness in drivers, especially multi-level drowsiness, is a difficult problem that is often approached using neurophysiological signals as the basis for building a reliable system.
Igor Stancin, M. Cifrek, A. Jović
semanticscholar   +1 more source

Sparse Signal Detection With Compressive Measurements via Partial Support Set Estimation [PDF]

IEEE Transactions on Signal and Information Processing over Networks, 2016
In this paper, we consider the problem of sparse signal detection based on partial support set estimation with compressive measurements in a distributed network.
Thakshila Wimalajeewa, P. Varshney
semanticscholar   +1 more source

Coverage Characteristics Analysis of Heterogeneous Optical Beams based Visible Light Communications

Guangtongxin yanjiu, 2022
Due to the research paradigm of the conventional Visible Light Communications (VLC), researchers usually assume that the optical sources follow the Lambertian spatial radiation characteristics.
Ju-peng DING, Chih-lin I, Kai ZHAO, Lin-lin ZHANG, Li-li WANG   +4 more
doaj   +1 more source

Traffic signal detection and classification in street views using an attention model

Computational Visual Media, 2018
Detecting small objects is a challenging task. We focus on a special case: the detection and classification of traffic signals in street views. We present a novel framework that utilizes a visual attention model to make detection more efficient, without ...
Yi-Fan Lu, Jiaming Lu, Song-Hai Zhang, P. Hall   +3 more
semanticscholar   +1 more source

Relay-Assisted Technology in Optical Wireless Communications: A Survey

IEEE Access, 2020
When the distance between the source and the target is long, the signal will be affected by atmospheric turbulence, weather conditions and obstacles, which cannot support the information transmission.
Wenwen Liu, Jupeng Ding, Jiong Zheng, Xifeng Chen, Chih-Lin I   +4 more
doaj   +1 more source

Psychosocial Outcomes in Patients With Endocrine Tumor Syndromes: A Systematic Review

Pediatric Blood &Cancer, EarlyView.
ABSTRACT Introduction The combination of disease manifestations, the familial burden, and varying penetrance of endocrine tumor syndromes (ETSs) is unique. This review aimed to portray and summarize available data on psychosocial outcomes in patients with ETSs and explore gaps and opportunities for future research and care.
Daniël Zwerus, Floortje Strobbe, Annemarie A. Verrijn Stuart, Hanneke M. van Santen, Gerlof D. Valk, Sasja A. Schepers, Rachel S. van Leeuwaarde   +6 more
wiley   +1 more source

Nutritional and Behavioral Intervention for Long‐Term Childhood Acute Leukemia Survivors With Metabolic Syndrome

Pediatric Blood &Cancer, EarlyView.
ABSTRACT Purpose Metabolic syndrome (MetS) is a common complication in survivors of childhood acute lymphoblastic and myeloid leukemia (AL), and a major risk factor for premature cardiovascular disease, type‐2‐diabetes, and metabolic dysfunction‐associated steatotic liver disease (MASLD).
Visentin Sandrine, Béliard Sophie, Renard Cécile, Caussy Cyrielle, Hamidou Zeinab, Romano David, Gacem Mélanie, Petit Arnaud, Saultier Paul, Borentain Patrick, Michel Gérard   +10 more
wiley   +1 more source

Research on Image Stitching Algorithm Based on Point-Line Consistency and Local Edge Feature Constraints

Entropy
Image stitching aims to synthesize a wider and more informative whole image, which has been widely used in various fields. This study focuses on improving the accuracy of image mosaic and proposes an image mosaic method based on local edge contour ...
Shaokang Ma, Xiuhong Li, Kangwei Liu, Tianchi Qiu, Yulong Liu   +4 more
doaj   +1 more source

Signal Detection Scheme Based on Adaptive Ensemble Deep Learning Model

IEEE Access, 2018
Accurate signal detection is one of the most important requirements of wireless communication systems. The two most important processes of the signal detection are channel estimation and compensation.
Chang-Bin Ha, Hyoung-Kyu Song
semanticscholar   +1 more source

Survival for Children Diagnosed With Wilms Tumour (2012–2022) Registered in the UK and Ireland Improving Population Outcomes for Renal Tumours of Childhood (IMPORT) Study

Pediatric Blood &Cancer, EarlyView.
ABSTRACT Background The Improving Population Outcomes for Renal Tumours of childhood (IMPORT) is a prospective clinical observational study capturing detailed demographic and outcome data on children and young people diagnosed with renal tumours in the United Kingdom and the Republic of Ireland.
Naomi Ssenyonga, Angela Lopez‐Cortes, Reem Al‐Saadi, Suzanne Tugnait, Kristina Dzhuma, Catriona Duncan, Gordan Vujanic, Tanzina Chowdhury, Claudia Allemani, Michel P. Coleman, Kathy Pritchard‐Jones, the Children's Cancer and Leukaemia Group (CCLG) Renal Tumour Special Interest Group, Hugh Bishop, Anthony McCarthy, Pamela Kearns, Helen Rees, Amos Burke, Meriel Jenney, Jane Pears, Hamish Wallace, Milind Ronghe, Tanzina Chowdhury, Susan Picton, Emma Ross, Lisa Howell, Bernadette Brennan, Gail Halliday, Richard Grundy, Shaun Wilson, Sucheta Vaidya, Daniel Yeomanson, Jessica Bate, Vesna Pavasovic, Jessica Bate, Sabine Irtan, Jesper Brok, Minou Oostveen, Kristina Dzhuma, Mark Weeks, Richard Williams, Mark Powis, Max Pachl, Bruce Okoye, Naima Smeulders, Gordan Vujanic, Oystein Olsen, Tom Watson, Susan Shelmerdine, Dan Saunders, Angela Lopez-Cortes, Taryn Treger, Tom Jackson, Suzanne Tugnait, Lisa Howell, Tanzina Chowdhury, Sam Behjati, Angela Polanco   +56 more
wiley   +1 more source