Results 231 to 240 of about 63,611 (263)
Exploring Latent Constructs through Multimodal Data Analysis
Abstract This study presents a comprehensive analysis of three types of multimodal data‐response accuracy, response times, and eye‐tracking data‐derived from a computer‐based spatial rotation test. To tackle the complexity of high‐dimensional data analysis challenges, we have developed a methodological framework incorporating various statistical and ...
Shiyu Wang +5 more
wiley +1 more source
Sequential Reservoir Computing for Log File‐Based Behavior Process Data Analyses
Abstract The use of process data in assessment has gained attention in recent years as more assessments are administered by computers. Process data, recorded in computer log files, capture the sequence of examinees' response activities, for example, timestamped keystrokes, during the assessment.
Jiawei Xiong +8 more
wiley +1 more source
Noise reduction of electron holography observations for a thin-foiled Nd-Fe-B specimen using the wavelet hidden Markov model. [PDF]
Lee S +6 more
europepmc +1 more source
Abstract Southern Africa is a region denoted by both high levels of fish diversity, some of it cryptic and unrecognised by current taxonomy, and severely threatened freshwater ecosystems. The Waterberg, a key aquatic ecoregion of the greater Limpopo River basin in South Africa, represents an area with high terrestrial conservation value but is lacking ...
Darragh J. Woodford +7 more
wiley +1 more source
Abstract The John Dory Zeus faber is a commercially exploited demersal fish species with a known distribution ranging from the Northeast Atlantic to parts of the Indian and Pacific oceans. A previous genetic survey using cytochrome c oxidase subunit I (COI) DNA barcodes suggested the presence of two geographically segregated taxonomic units within Z ...
João Tadeu Fontes +19 more
wiley +1 more source
Breeding 5.0: Artificial intelligence (AI)‐decoded germplasm for accelerated crop innovation
ABSTRACT Crop breeding technologies are vital for global food security. While traditional methods have improved yield, stress tolerance, and nutrition, rising challenges such as climate instability, land loss, and pest pressure now demand new solutions.
Jiayi Fu +4 more
wiley +1 more source
Abstract Brain surgery is a widely practised and effective treatment for brain tumours, but accurately identifying and classifying tumour boundaries is crucial to maximise resection and avoid neurological complications. This precision in classification is essential for guiding surgical decisions and subsequent treatment planning.
Neetu Sigger +2 more
wiley +1 more source
Portfolio Optimization for Pension Purposes: Literature Review
ABSTRACT This systematic review identifies persistent challenges and gaps in the literature on pension portfolio optimization models. We searched, selected, and critically analyzed 82 articles from three major academic databases published over the past decade to investigate the barriers to the effective implementation of these models.
Leonardo Moreira +2 more
wiley +1 more source
Spatial-Temporal Characteristics of Brain Activity in Autism Spectrum Disorder Based on Hidden Markov Model and Dynamic Graph Theory: A Resting-State fMRI Study. [PDF]
Qian S, Yang Q, Cai C, Dong J, Cai S.
europepmc +1 more source
Financial Time Series Uncertainty: A Review of Probabilistic AI Applications
ABSTRACT Probabilistic machine learning models offer a distinct advantage over traditional deterministic approaches by quantifying both epistemic uncertainty (stemming from limited data or model knowledge) and aleatoric uncertainty (due to inherent randomness in the data), along with full distributional forecasts.
Sivert Eggen +4 more
wiley +1 more source

