Results 111 to 120 of about 3,989 (204)

Fats, Fire and Bronze Age Funerary Rites: Organic Residue Analysis of Wide Horizontal Rim Vessels From Burial Contexts in Northwest Portugal

Archaeometry, Volume 68, Issue 3, Page 298-310, June 2026.
ABSTRACT This study presents the first GC‐MS–based analyses of wide horizontal rim vessels with well‐defined funerary contexts, from Middle Bronze Age Portugal (Quinta do Amorim 2 and Pego). Organic residues from two vessels revealed ruminant fats and plant oils, alongside molecular markers of heat exposure.
João Vinícius Back, César Oliveira, Ana M. S. Bettencourt, Hugo Aluai Sampaio, Luciano Vilas Boas, Luís Gonçalves   +5 more
wiley   +1 more source

Probability hypothesis density filter using determinantal point processes for multi object tracking

, 2019
Multi Object Tracking (MOT) has many applications such as video surveillance and event recognition among others. In this paper, we present a novel multi object tracking method using the Probability Density Hypothesis (PHD) filter and Determinantal Point ...
Hernández, Sergio, Vergara, Diego, Jorquera, Felipe   +2 more
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Randomised, phase 1 evaluation of the safety, tolerability, pharmacokinetics and pharmacodynamics of iptacopan in healthy volunteers

British Journal of Pharmacology, Volume 183, Issue 11, Page 2874-2889, June 2026.
Abstract Background and Purpose Overactivation of the alternative pathway (AP) underlies several diseases. Iptacopan is an oral, first‐in‐class, highly potent specific inhibitor of factor B, a key AP protease. Experimental Approach The analysis included data from two phase 1 randomised, volunteer‐blinded, placebo‐controlled studies: Study 1, a single ...
Irina Baltcheva, Guido Junge, Kenneth Kulmatycki, Robert Schmouder, Anna Schubart, Marie‐Anne Valentin   +5 more
wiley   +1 more source

Predicting SARS‐CoV‐2 Infection With Graph Attention Capsule Networks

Computational Intelligence, Volume 42, Issue 3, June 2026.
ABSTRACT Recent studies in machine learning have demonstrated the effectiveness of applying graph neural networks (GNNs) to single‐cell RNA sequencing (scRNA‐seq) data to predict COVID‐19 disease states. In this study, we propose an explainable graph attention capsule network (GACapNet), which extracts and fuses Severe Acute Respiratory Syndrome ...
Runjie Zhu, Jimmy Xiangji Huang, Amran Bhuiyan, Zhiwen Xie, Guangyou Zhou   +4 more
wiley   +1 more source

Stochastic partitioning for extended object probability hypothesis density filters

, 2019
This paper presents a new likelihood-based partitioning method of the measurement set for the extended object probability hypothesis density (PHD) filter framework.
Wirtensohn, Stefan, Reuter, Johannes, Böhler, Julian, Baur, Tim   +3 more
core   +1 more source

Fairness at Risk: Where Bias Emerges in Machine Learning

Expert Systems, Volume 43, Issue 6, June 2026.
ABSTRACT Artificial intelligence and machine learning (ML) now shape decisions in healthcare, finance and security, but they can reproduce historical prejudice and inequality. Bias in training data and in model implementation can amplify harm, especially for racial and gender minorities.
Otavio de Paula Albuquerque, Marcelo Fantinato, Sarajane Marques Peres   +2 more
wiley   +1 more source

Gaussian Mixture Probability Hypothesis Density Filter for Heterogeneous Multi-Sensor Registration

Spatial registration is a prerequisite for data fusion. Existing methods primarily focus on similar sensor scenarios and rely on accurate data association assumptions. To address the heterogeneous sensor registration in complex data association scenarios,
Yingbin Lin, Jun Wang, Chi Zhang, Shaoming Wei, Xuan Zhou, Yajun Zeng   +5 more
core   +1 more source

Particle filters for probability hypothesis density filter with the presence of unknown measurement noise covariance

, 2013
In Bayesian multi-target filtering, knowledge of measurement noise variance is very important. Significant mismatches in noise parameters will result in biased estimates.
Huang, Gaoming, Wu, Xinhui, Gao, Jun
core   +1 more source

From Shares to Social Ties: Social Media Self‐Disclosure, Self‐Presentation, and Social Benefits in a Collectivistic Cultural Setting

Personal Relationships, Volume 33, Issue 2, June 2026.
ABSTRACT Drawing on Uses and Gratifications Theory, this study investigates the link between social media self‐disclosure and self‐presentation and perceived interpersonal benefits. Whereas self‐disclosure involves communicating personal facts, self‐presentation describes selectively using self‐enhancing information to influence others' impressions. We
Carmen Șurariu, Katherine B. Carnelley, Claire M. Hart   +2 more
wiley   +1 more source

Multiple Moving Object Tracking Using the Probability Hypothesis Density Filter

, 2017
sažetakPraćenje više gibajućih objekata kompleksan je problem gdje se osim izazova praćenja pojedinačnoga objekta javljaju i problemi poput nastajanja i nestajanja objekata te nesi-gurnosti pridjeljivanja mjerenja objektima.
Bićanić, Borna
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