Results 41 to 50 of about 183,434 (340)

Prediction of Myasthenia Gravis Worsening: A Machine Learning Algorithm Using Wearables and Patient‐Reported Measures

open access: yesAnnals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Background Myasthenia gravis (MG) is a rare disorder characterized by fluctuating muscle weakness with potential life‐threatening crises. Timely interventions may be delayed by limited access to care and fragmented documentation. Our objective was to develop predictive algorithms for MG deterioration using multimodal telemedicine data ...
Maike Stein   +7 more
wiley   +1 more source

Strongly-MDS convolutional codes [PDF]

open access: yesIEEE Transactions on Information Theory, 2006
33 ...
Gluesing-Luerssen, H   +2 more
openaire   +3 more sources

Development of a Prediction Model for Progression Risk in High‐Grade Gliomas Based on Habitat Radiomics and Pathomics

open access: yesAnnals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective To investigate the value of constructing models based on habitat radiomics and pathomics for predicting the risk of progression in high‐grade gliomas. Methods This study conducted a retrospective analysis of preoperative magnetic resonance (MR) images and pathological sections from 72 patients diagnosed with high‐grade gliomas (52 ...
Yuchen Zhu   +14 more
wiley   +1 more source

Design and Performance of Rate-compatible Non-Binary LDPC Convolutional Codes

open access: yes, 2011
In this paper, we present a construction method of non-binary low-density parity-check (LDPC) convolutional codes. Our construction method is an extension of Felstroem and Zigangirov construction for non-binary LDPC convolutional codes.
Kasai, Kenta   +2 more
core   +1 more source

Convolutional RNN: an Enhanced Model for Extracting Features from Sequential Data [PDF]

open access: yes, 2016
Traditional convolutional layers extract features from patches of data by applying a non-linearity on an affine function of the input. We propose a model that enhances this feature extraction process for the case of sequential data, by feeding patches of
Keren, Gil, Schuller, Björn
core   +2 more sources

Concatenated codes with convolutional inner codes [PDF]

open access: yesIEEE Transactions on Information Theory, 1988
We study the minimum distance of concatenated codes with Reed-Solomon outer codes and convolutional inner codes. For suitable combinations of parameters the minimum distance may be lower-bounded by the product of the minimum distances of the inner and outer codes.
Thommesen, Christian   +2 more
openaire   +3 more sources

Cryo‐EM of Rationally Designed Photosystem I Nanoassembly on Graphene Validates Orientation‐Driven Enhancement of Photocatalytic Performance

open access: yesAdvanced Functional Materials, EarlyView.
The first cryo‐EM visualization and quantification of oriented Photosystem I (PSI) on single‐layer graphene is reported. Domain‐specific covalent anchoring of PSI, with the reducing side of the biophotocatalyst toward graphene, promotes three‐fold higher anodic photocurrent generation compared to a randomly physisorbed counterpart. This approach allows
Miriam Izzo   +6 more
wiley   +1 more source

Performance of Different Concatenated Coding Schemes for CDMA System

open access: yesJournal of Engineering, 2018
In this paper different channel coding and interleaving schemes in DS/CDMA system over multipath fading channel were used. Two types of serially concatenated coding were presented.
Zainab Majeed Abid
doaj   +1 more source

Private Streaming With Convolutional Codes [PDF]

open access: yesIEEE Transactions on Information Theory, 2018
Recently, information-theoretic private information retrieval (PIR) from coded storage systems has gained a lot of attention, and a general star product PIR scheme was proposed. In this paper, the star product scheme is adopted, with appropriate modifications, to the case of private (e.g., video) streaming.
Holzbaur, Lukas   +4 more
openaire   +3 more sources

Functional Materials for Environmental Energy Harvesting in Smart Agriculture via Triboelectric Nanogenerators

open access: yesAdvanced Functional Materials, EarlyView.
This review explores functional and responsive materials for triboelectric nanogenerators (TENGs) in sustainable smart agriculture. It examines how particulate contamination and dirt affect charge transfer and efficiency. Environmental challenges and strategies to enhance durability and responsiveness are outlined, including active functional layers ...
Rafael R. A. Silva   +9 more
wiley   +1 more source

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