Automatic modulation recognition via aligned signals and key features
Deep learning‐based classification algorithms have been used for automatic modulation recognition (AMR). However, most methods only focus on end‐to‐end mapping and neglect the classic key features.
Fugang Liu +3 more
doaj +1 more source
Hierarchical Hidden Markov Model in Detecting Activities of Daily Living in Wearable Videos for Studies of Dementia [PDF]
International audienceThis paper presents a method for indexing activities of daily living in videos obtained from wearable cameras. In the context of dementia diagnosis by doctors, the videos are recorded at patients' houses and later visualized by the ...
A Doherty +25 more
core +5 more sources
The potential for immunoglobulins and host defense peptides (HDPs) to reduce the use of antibiotics in animal production [PDF]
Innate defense mechanisms are aimed at quickly containing and removing infectious microorganisms and involve local stromal and immune cell activation, neutrophil recruitment and activation and the induction of host defense peptides (defensins and ...
A Al-Mamun +118 more
core +2 more sources
Music Information Retrieval Meets Music Education [PDF]
This paper addresses the use of Music Information Retrieval (MIR) techniques in music education and their integration in learning software. A general overview of systems that are either commercially available or in research stage is presented ...
+3 more
core +1 more source
Automatic Modulation Open-Set Recognition Based on Random Convolutional Prototype Network-MultiOCSVM
Automatic Modulation Recognition (AMR) is a crucial technology in signal recognition for detecting target signals in radio communications. The accuracy of AMR has been improved by using machine and deep learning methods. However, these methods often have
Jiajie Sun, Liangzhong Cui, Yameng Niu
doaj +1 more source
SPECT image segmentation for estimation of tumour volume and activity concentration in 177Lu-DOTATATE radionuclide therapy [PDF]
Background: Dosimetry in radionuclide therapy has the potential to allow for a treatment tailored to the individual patient. One therapeutic radiopharmaceutical where patient-specific dosimetry is feasible is 177Lu-DOTATATE, used for the treatment of ...
Anna Sundlöv +2 more
core +1 more source
Enlargement and Integration Action Activity Workshop on Costs, Benefits and Impact Assessment of Smart Grids for Europe and Beyond [PDF]
Smart Grids are a key component of the European strategy toward a low-carbon energy future. Growing environmental and energy security concerns represent a major driver for the renovation and improvement of existing energy infrastructure. In this context,
AKINC Hulya, MIROSEVIC Marija
core +1 more source
Compact automatic modulation recognition using over-the-air signals and FOS features [PDF]
The recent deployment of automatic modulation recognition (AMR) for cognitive radio (CR) systems has significantly enhanced spectrum sensing capabilities.
Abayomi, Abdultaofeek +6 more
core +3 more sources
A Novel Attention Cooperative Framework for Automatic Modulation Recognition
Modulation recognition plays an indispensable role in the field of wireless communications. In this paper, a novel attention cooperative framework based on deep learning is proposed to improve the accuracy of the automatic modulation recognition (AMR ...
Shiyao Chen +4 more
doaj +1 more source
Automatic modulation recognition (AMR) has become increasingly important in the field of signal processing, especially with the advancements of intelligent communication systems.
Bachir Jdid +4 more
doaj +1 more source

