Results 31 to 40 of about 1,601,810 (338)

Classification of signals by means of Genetic Programming [PDF]

Soft Computing, 2013
Instituto de Salud Carlos III; RD07/0067 ...
Enrique Fernández-Blanco, Daniel Rivero 0001, Marcos Gestal, Julián Dorado   +3 more
openaire   +2 more sources

Radar waveform recognition based on a two‐stream convolutional network and software defined radio

IET Radar, Sonar & Navigation, 2022
As one of the key technologies of electromagnetic spectrum operations, radar waveform recognition is an important basis for judging the threat degree of enemy’s weapons.
Yan Xia, Zhiyuan Ma, Zhi Huang
doaj   +1 more source

A deep learning mixed-data type approach for the classification of FHR signals

Frontiers in Bioengineering and Biotechnology, 2022
The Cardiotocography (CTG) is a widely diffused monitoring practice, used in Ob-Gyn Clinic to assess the fetal well-being through the analysis of the Fetal Heart Rate (FHR) and the Uterine contraction signals.
Edoardo Spairani, Beniamino Daniele, Maria Gabriella Signorini, Giovanni Magenes   +3 more
doaj   +1 more source

Weakly-supervised Dictionary Learning

, 2018
We present a probabilistic modeling and inference framework for discriminative analysis dictionary learning under a weak supervision setting. Dictionary learning approaches have been widely used for tasks such as low-level signal denoising and ...
Fern, Xiaoli Z., Kim, Jinsub, Raich, Raviv, You, Zeyu   +3 more
core   +1 more source

European Standard Clinical Practice Guideline and EXPeRT Recommendations for the Diagnosis and Management of Gastroenteropancreatic Neuroendocrine Neoplasms in Children and Adolescents

Pediatric Blood &Cancer, EarlyView.
ABSTRACT Pediatric gastroenteropancreatic neuroendocrine neoplasms (GEP‐NENs) are extremely rare and clinically heterogeneous. Management has largely been extrapolated from adult practice. This European Standard Clinical Practice Guideline (ESCP), developed by the EXPeRT network in collaboration with adult NEN experts, provides (adult) evidence ...
Michaela Kuhlen, Calogero Virgone, Antje Redlich, Michael Abele, Ricardo Lopez‐Almaraz, Tal Ben‐Ami, Ewa Bien, Gianni Bisogno, Maja Mazic Cesen, Andrea Ferrari, Malgorzata A. Krawczyk, Yves Reguerre, Dominik T. Schneider, Ines B. Brecht, Charlotte Rigaud, Bilgehan Yalcin, Rainer Claus, Christian Vokuhl, Constantin Lapa, Jörg Fuchs, Segolene Hescot, Thomas Walter, Julien Hadoux, Daniel Orbach   +23 more
wiley   +1 more source

Signal processing methods for EEG data classification [PDF]

, 2008
Imperial Users ...
Varnavas, Andreas Soteriou, Varnavas, Andreas Soteriou   +1 more
core  

Robust Multiple Signal Classification via Probability Measure Transformation

, 2015
In this paper, we introduce a new framework for robust multiple signal classification (MUSIC). The proposed framework, called robust measure-transformed (MT) MUSIC, is based on applying a transform to the probability distribution of the received signals,
Hero, Alfred O., Todros, Koby
core   +1 more source

Why and When Are Evidence‐Based Interventions Adopted in Paediatric Supportive Care? A Qualitative Exploration of the Determinants of Photobiomodulation Implementation

Pediatric Blood &Cancer, EarlyView.
ABSTRACT Background Oral mucositis is a common and debilitating side effect of childhood cancer and stem cell transplant treatments. It affects the quality of life of children and young people (CYP) and places a strain on services. Photobiomodulation is recommended for oral mucositis prevention in international guidance but is poorly implemented in UK ...
Claudia Heggie, Kara A. Gray‐Burrows, Peter F. Day, Bob Phillips, Carl A. Thompson   +4 more
wiley   +1 more source

Real-time classification of EEG signals using Machine Learning deployment [PDF]

Revista Română de Informatică și Automatică
The prevailing educational methods predominantly rely on traditional classroom instruction or online delivery, often limiting the teachers’ ability to engage effectively with all the students simultaneously.
Swati CHOWDHURI, Satadip SAHA, Samadrita KARMAKAR, Ankur CHANDA   +3 more
doaj   +1 more source

On the Performance of Variational Mode Decomposition-Based Radio Frequency Fingerprinting of Bluetooth Devices

Sensors, 2020
Radio frequency fingerprinting (RFF) is one of the communication network’s security techniques based on the identification of the unique features of RF transient signals.
Alghannai Aghnaiya, Yaser Dalveren, Ali Kara   +2 more
doaj   +1 more source