Results 111 to 120 of about 16,794 (295)

Artificial Intelligence‐Assisted Workflow for Transmission Electron Microscopy: From Data Analysis Automation to Materials Knowledge Unveiling

open access: yesAdvanced Materials, EarlyView.
AI‐Assisted Workflow for (Scanning) Transmission Electron Microscopy: From Data Analysis Automation to Materials Knowledge Unveiling. Abstract (Scanning) transmission electron microscopy ((S)TEM) has significantly advanced materials science but faces challenges in correlating precise atomic structure information with the functional properties of ...
Marc Botifoll   +19 more
wiley   +1 more source

Articulated body tracking using dynamic belief propagation

open access: yes, 2005
An efficient articulated body tracking algorithm is proposed in this paper. Due to the high dimensionality of human-body motion, current articulated tracking algorithms based on sampling [1], belief propagation (BP) [2], or non-parametric belief ...
Thomas S. Huang, Tony X. Han
core   +1 more source

A Scalable Method for Group Target Tracking Using Multisensor with Limited Field of Views

open access: yesLeida xuebao
In practical applications, the field of view and computation resources of an individual sensor are limited, and the development and application of multisensor networks provide more possibilities for solving challenging target tracking problems.
Xuqi ZHANG   +5 more
doaj   +1 more source

Mixed‐Metal Promotion in a Manganese‐Molybdenum Oxynitride as Catalyst to Integrate C─C and C─N Coupling Reactions for the Direct Synthesis of Acetonitrile from Syngas and Ammonia

open access: yesAdvanced Materials, EarlyView.
Transition metal oxy/carbo‐nitrides show great promise as catalysts for sustainable processes. A Mn‐Mo mixed‐metal oxynitride attains remarkable performance for the direct synthesis of acetonitrile, an important commodity chemical, via sequential C─N and C─C coupling from syngas (C1) and ammonia (N1) feedstocks.
M. Elena Martínez‐Monje   +7 more
wiley   +1 more source

Efficient Decoding of Turbo Codes with Nonbinary Belief Propagation

open access: yesEURASIP Journal on Wireless Communications and Networking, 2008
This paper presents a new approach to decode turbo codes using a nonbinary belief propagation decoder. The proposed approach can be decomposed into two main steps.
Thierry Lestable   +2 more
doaj   +1 more source

Accuracy Bounds for Belief Propagation

open access: yesCoRR, 2012
Appears in Proceedings of the Twenty-Third Conference on Uncertainty in Artificial Intelligence (UAI2007)
openaire   +3 more sources

Opportunities of Semiconducting Oxide Nanostructures as Advanced Luminescent Materials in Photonics

open access: yesAdvanced Materials, EarlyView.
The review discusses the challenges of wide and ultrawide bandgap semiconducting oxides as a suitable material platform for photonics. They offer great versatility in terms of tuning microstructure, native defects, doping, anisotropy, and micro‐ and nano‐structuring. The review focuses on their light emission, light‐confinement in optical cavities, and
Ana Cremades   +7 more
wiley   +1 more source

Collective Cognition: Exploring the Dynamics of Belief Propagation and Collective Problem Solving in Multi-Agent Systems

open access: yes
We tend to think of cognition as something that takes place inside the heads of individual human agents; however, it is clear that many of our cognitive accomplishments depend just as much on our ability to exploit the elements of our social and ...
Huynh, Trung   +4 more
core  

Low-Complexity Non-Binary LDPC and Modulation Schemes communicating over MIMO Channels

open access: yes, 2004
In this contribution, Pearl’s belief propagation (BP) algorithm is invoked for constructing a belief network, which is employed for developing a joint detection aided transmit diversity scheme and a non-binary LDPC decoder constructed over a finite field
Hanzo, L., Guo, F.
core  

Convergence of a Belief Propagation Algorithm for Biological Networks

open access: yesDiscrete Dynamics in Nature and Society, 2019
Constructing network models of biological systems is important for effective understanding and control of the biological systems. For the construction of biological networks, a stochastic approach for link weights has been recently developed by using ...
Sang-Mok Choo, Young-Hee Kim
doaj   +1 more source

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