Results 261 to 270 of about 328,761 (312)

Stable Protein‐Based G‐Quadruplex‐Derived Supramolecular Bioinks as Tunable ECM‐Mimetic Constructs Assembled by Combining Non‐Covalent and Covalent Strategies

Advanced Materials, EarlyView.
Harnessing the synergistic interplay of supramolecular self‐assembly, under macromolecular crowding conditions, and enzymatic‐mediated covalent crosslinking toward a stable protein‐based G‐quadruplex‐derived supramolecular bioink. This bioinspired strategy enables the biofabrication of complex and tunable ECM‐mimetic constructs, providing a platform ...
Vera Sousa, Rita Sobreiro‐Almeida, Bart W. L. van den Bersselaar, E. W. Meijer, Ghislaine Vantomme, João Borges, João F. Mano   +6 more
wiley   +1 more source

Correction to: DeepFormer: a hybrid network based on convolutional neural network and flow-attention mechanism for identifying the function of DNA sequences. [PDF]

Brief Bioinform
europepmc   +1 more source

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Hybrid network management

Bell Labs Technical Journal, 2002
To support the phenomenal growth in data bandwidth demand in carrier networks, synchronous optical network (SONET) and synchronous digital hierarchy (SDH) products are increasingly being given data interfaces. In addition, data products are providing SONET, SDH, and optical networking (ON) interfaces.
Harvey I. Epstein, Abhaya Asthana, Stephen A. Corum, Leen Mak   +3 more
openaire   +1 more source

Network security for Hybrid Cloud

2014 Euro Med Telco Conference (EMTC), 2014
Cloud computing has enabled elastic and transparent access to distributed services, without investing in new infrastructures. In the last few years, Cloud computing has grown from being a promising business concept to one of the fast growing segments of the IT industry.
DONADIO, PASQUALE, FIOCCOLA, GIOVANNI BATTISTA, CANONICO, ROBERTO, VENTRE, GIORGIO   +3 more
openaire   +2 more sources

Hybrid Automotive In-Vehicle Networks

Proceedings of the Eleventh IEEE/ACM International Symposium on Networks-on-Chip, 2017
The design of automotive in-vehicle networks is influenced by several factors like bandwidth, real-time properties, reliability and cost. This has led to a number of protocols and communication standards like CAN, MOST, FlexRay and more recently the use of Ethernet. In the future, wireless in-vehicle communication might also become a possibility.
Debayan Roy, Michael Balszun, Dip Goswami, Samarjit Chakraborty   +3 more
openaire   +1 more source

Hybrid wireless network protocols

IEEE Transactions on Vehicular Technology, 2003
Basically, there are two types of wireless network systems - base-station (BS) oriented networks and ad hoc wireless networks. In the first type, the mobile hosts communicate with base stations, while, in ad hoc networks, the mobile hosts communicate with one another directly. The BS-oriented wireless network has better performance and is more reliable.
Ruay-Shiung Chang, Wei-Yeh Chen, Yean-Fu Wen   +2 more
openaire   +1 more source

Hybrid Neural Networks for Immunoinformatics

International Conference on Computational Intelligence for Modelling, Control and Automation and International Conference on Intelligent Agents, Web Technologies and Internet Commerce (CIMCA-IAWTIC'06), 2006
Hybrid set of optimally trained feed-forward, Hop-field and Elman neural networks were used as computational tools and were applied to immunoinformatics. These neural networks enabled a better understanding of the functions and key components of the adaptive immune system.
Khrizel B. Solano, Tolja Djekovic, Mohamed Zohdy   +2 more
openaire   +1 more source

Hybrid Gabor Convolutional Networks

Pattern Recognition Letters, 2018
Abstract Despite great effectiveness of very wide and deep convolutional neural networks (DCNNs) in various computer vision tasks, the significant cost in terms of storage requirement of such networks impedes the deployment on computationally limited devices.
Chunlei Liu 0001, Wenrui Ding, Xiaodi Wang, Baochang Zhang 0001   +3 more
openaire   +1 more source

Hybrid Transfer Function Networks

2010 International Conference on Machine Learning and Cybernetics, 2010
It is easy for a multi-layered perception (MLP) to form open plane classification borders, and for a radial basis function network (RBFN) to form closed circular or elliptic classification borders. In contrast, it is difficult for a MLP to form closed circular or elliptic classification borders, and for RBFN to form open plane classification borders ...
I-Cheng Yeh 0002, Chung-Chih Chen, Kuan-Chieh Huang   +2 more
openaire   +1 more source

Hybrid Anticipatory Networks

2012
This paper presents a theory of hybrid anticipatory networks that generalizes earlier models of consequence anticipation in multicriteria decision problems. We assume that the decision maker takes into account the anticipated outcomes of future decision problems linked by the causal relations with the present decision problem.
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