Results 61 to 70 of about 217,546 (313)

Scaling Up Synthetic Cell Production Using Robotics and Machine Learning Toward Therapeutic Applications

open access: yesAdvanced Biology, EarlyView.
Synthetic cells (SCs) hold great promise for biomedical applications, but manual production limits scalability. This study presents an automated method for large‐scale SC synthesis, integrating robotic liquid handling and machine learning‐driven high‐throughput characterization.
Noga Sharf‐Pauker   +7 more
wiley   +1 more source

Deep Learning and Regularization Algorithms for Malicious Code Classification

open access: yesIEEE Access, 2021
Network security has become a growing concern within the popularity and development of the Internet. Malicious code is one of the main threats to network security.
Haojun Wang   +4 more
doaj   +1 more source

Construction D' Lattices for Power-Constrained Communications [PDF]

open access: yesarXiv, 2021
Designs and methods for nested lattice codes using Construction D' lattices for coding and convolutional code lattices for shaping are described. Two encoding methods and a decoding algorithm for Construction D' coding lattices that can be used with shaping lattices for power-constrained channels are given.
arxiv  

Ontologies for FAIR Data in Additive Manufacturing: A Use Case‐Based Evaluation

open access: yesAdvanced Engineering Materials, EarlyView.
An ontology‐based approach for generating findable, accessible, interoperable, reusable data in additive manufacturing is explored, focusing on powder bed fusion. The article highlights the benefits of enhanced data findability and digital twin enablement, while addressing challenges like data integration complexity and the need for specialized ...
Thomas Bjarsch   +2 more
wiley   +1 more source

Design and Analysis of Joint Source-Channel Code System with Fixed-Length Code

open access: yesInformation, 2022
As the demands of multimedia and data services increase, efficient communication systems are being investigated to meet the high data rate requirements.
Han Bao, Can Zhang, Shaoshuai Gao
doaj   +1 more source

Self-Dual Convolutional Codes [PDF]

open access: yesarXiv, 2022
This paper investigates the concept of self-dual convolutional code. We derive the basic properties of this interesting class of codes and we show how some of the techniques to construct self-dual linear block codes generalize to self-dual convolutional codes.
arxiv  

Nonlinearity and Domain Switching in a 3D‐Printed Architected Ferroelectric

open access: yesAdvanced Engineering Materials, EarlyView.
By combining functional properties measurement with in situ 2D X‐ray microdiffraction experiments, it is shown that nonlinear polarization and strain responses of a 3D‐printed architected ferroelectric are driven by localized progression of domain switching, which depends on nonuniform electric‐field distribution as well as evolving stress fields.
Abhijit Pramanick   +7 more
wiley   +1 more source

Improving Ponzi Scheme Contract Detection Using Multi-Channel TextCNN and Transformer

open access: yesSensors, 2021
With the development of blockchain technologies, many Ponzi schemes disguise themselves under the veil of smart contracts. The Ponzi scheme contracts cause serious financial losses, which has a bad effect on the blockchain. Existing Ponzi scheme contract
Yizhou Chen   +5 more
doaj   +1 more source

On Doubly-Cyclic Convolutional Codes [PDF]

open access: yesApplicable Algebra in Engineering, Communication and Computing, 2006
Cyclicity of a convolutional code (CC) is relying on a nontrivial automorphism of the algebra F[x]/(x^n-1), where F is a finite field. If this automorphism itself has certain specific cyclicity properties one is lead to the class of doubly-cyclic CC's. Within this large class Reed-Solomon and BCH convolutional codes can be defined.
Wiland Schmale, Heide Gluesing-Luerssen
openaire   +3 more sources

Autonomous Control of Extrusion Bioprinting Using Convolutional Neural Networks

open access: yesAdvanced Functional Materials, EarlyView.
This work presents a novel computer vision system for high‐fidelity monitoring of extrusion‐based bioprinting and a correction system utilizing convolutional neural networks for error mitigation. This system has demonstrated high detection accuracy and extrusion correction abilities that advance the state of the art toward accelerated printing ...
Daniel Kelly   +4 more
wiley   +1 more source

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