Results 31 to 40 of about 6,031 (199)

A new action recognition method by distinguishing ambiguous postures

International Journal of Advanced Robotic Systems, 2018
One of the most important aspects of promoting the intelligence of home service robots is to reliably recognize human actions and accurately understand human behaviors and intentions.
Zhiqiang Liu, Jianqin Yin, Jinping Li, Jun Wei, Zhiquan Feng   +4 more
doaj   +1 more source

Decentralized governance and artificial intelligence policy with blockchain-based voting in federated learning

Frontiers in Research Metrics and Analytics, 2023
IntroductionFruit losses in the supply chain owing to improper handling and a lack of proper control are common in the industry. As losses are caused by the inefficiency of the export method, selecting the appropriate export method is a possible solution.
C. Alisdair Lee, C. Alisdair Lee, K. M. Chow, H. Anthony Chan, Daniel Pak-Kong Lun   +4 more
doaj   +1 more source

A collection of 157 individual neuromelanin-sensitive images accompanied by non-linear neuromelanin-sensitive atlas and a probabilistic locus coeruleus atlas

Data in Brief
The current dataset aims to support and enhance the research reliability of neuromelanin regions in the brainstem, such as locus coeruleus (LC), by offering raw neuromelanin-sensitive images.
Tae-Ho Lee, Sun Hyung Kim, Joshua Neal, Benjamin Katz, Il Hwan Kim   +4 more
doaj   +1 more source

Two-phase fuzzy feature-filter based hybrid model for spam classification

Journal of King Saud University: Computer and Information Sciences, 2022
A spam message is forced data in a public, private or commercial network that occupies resources and affects the reliability of the network. This paper investigates a two-level filter-based hybrid model to identify spam content or messages accurately. At
Gazal, Kapil Juneja
doaj   +1 more source

X-CNV: genome-wide prediction of the pathogenicity of copy number variations

Genome Medicine, 2021
Background Gene copy number variations (CNVs) contribute to genetic diversity and disease prevalence across populations. Substantial efforts have been made to decipher the relationship between CNVs and pathogenesis but with limited success.
Li Zhang, Jingru Shi, Jian Ouyang, Riquan Zhang, Yiran Tao, Dongsheng Yuan, Chengkai Lv, Ruiyuan Wang, Baitang Ning, Ruth Roberts, Weida Tong, Zhichao Liu, Tieliu Shi   +12 more
doaj   +1 more source

Utilitarian Distortion Under Probabilistic Voting

CoRR
The utilitarian distortion framework evaluates voting rules by their worst-case efficiency loss when voters have cardinal utilities but express only ordinal rankings. Under the classical model, a longstanding tension exists: Plurality, which suffers from the spoiler effect, achieves optimal $Θ(m^2)$ distortion among deterministic rules, while ...
Hamidreza Alipour, Mohak Goyal
openaire   +2 more sources

Density Classification with Non-Unitary Quantum Cellular Automata

Entropy
The density classification (DC) task, a computation which maps global density information to local density, is studied using one-dimensional non-unitary quantum cellular automata (QCAs).
Elisabeth Wagner, Federico Dell’Anna, Ramil Nigmatullin, Gavin K. Brennen   +3 more
doaj   +1 more source

The utility of the voting power approach [PDF]

, 2003
This paper argues that the voting power approach is much more general than is portrayed by Albert (“The Voting Power Approach: Measurement without Theory”, European Union Politics, 4:3, 2003) and is therefore capable of generating important insights ...
Leech, Dennis
core  

Dynamic Classifier Auditing by Unsupervised Anomaly Detection Methods: An Application in Packaging Industry Predictive Maintenance

Applied Sciences
Predictive maintenance in manufacturing industry applications is a challenging research field. Packaging machines are widely used in a large number of logistic companies’ warehouses and must be working uninterruptedly.
Fernando Mateo, Joan Vila-Francés, Emilio Soria-Olivas, Marcelino Martínez-Sober, Juan Gómez-Sanchis, Antonio José Serrano-López   +5 more
doaj   +1 more source

Probabilistic power indices for voting rules with abstention [PDF]

Mathematical Social Sciences, 2012
In this paper, we introduce eight power indices that admit a probabilistic interpretation for voting rules with abstention or with three levels of approval in the input, briefly (3, 2) games.Weanalyze the analogies and discrepancies between standard known indices for simple games and the proposed extensions for this more general context.
openaire   +3 more sources