Results 211 to 220 of about 35,702 (279)

PUMAA: Establishing a protocol for utilizing machine learning in forensic anthropological analyses

Journal of Forensic Sciences, EarlyView.
Abstract The use of machine learning (ML) models in forensic anthropology (FA) has increased in the last half decade; however, there is a lack of a standardized protocol on how to curate, use, and assess ML models. We introduce PUMAA (A Protocol for Utilizing Machine Learning in Forensic Anthropological Analyses), which includes a flowchart and a ...
Eman Faisal, Tracy L. Rogers
wiley   +1 more source

Applying the maximum entropy principle to neural networks enhances multi‐species distribution models

Methods in Ecology and Evolution, EarlyView.
Abstract The increasing volume of presence‐only (PO) data generated by citizen science initiatives has greatly expanded biodiversity databases, but the statistical use of these data in species distribution models (SDMs) remains limited by strong sampling biases and the absence of reliable absence information.
Maxime Ryckewaert, Diego Marcos, Christophe Botella, Maximilien Servajean, Pierre Bonnet, Alexis Joly   +5 more
wiley   +1 more source

Design Considerations for Visualization Transitions of 3D Spatial Data in Hybrid AR‐Desktop Environments

Computer Graphics Forum, EarlyView.
We present design considerations for animated transitions of the appearance of 3D spatial datasets in a hybrid Augmented Reality‐desktop context. Such hybrid interfaces combine both traditional and immersive displays to facilitate the exploration of 2D and 3D data representations in the environment in which they are best displayed.
Yucheng Lu, Tobias Rau, Benjamin Lee, Andreas Köhn, Michael Sedlmair, Christian Sandor, Tobias Isenberg   +6 more
wiley   +1 more source

Diagnostic Accuracy of Deep Learning Models in Detecting Peri‐Implant Marginal Bone Loss: A Systematic Review and Meta‐Analysis

Clinical Oral Implants Research, EarlyView.
ABSTRACT Background Peri‐implantitis is a common implant complication requiring early detection to prevent bone loss and implant failure. Deep learning models show promise for enhancing radiographic diagnosis. Objectives This review systematically evaluated the diagnostic performance of deep learning models in detecting peri‐implant marginal bone loss ...
Momen A. Atieh, Maanas Shah, Abeer Hakam, Fawaghi AlAli, Samhar AlSayed, Andrew Tawse‐Smith, Nabeel H. M. Alsabeeha   +6 more
wiley   +1 more source

Institutional Investor Attention

The Journal of Finance, EarlyView.
ABSTRACT Using data on Internet news reading, we measure fund‐level attention to both aggregate and firm‐specific news and relate it to fund portfolio allocation decisions. In the time series, we find that funds shift attention toward macroeconomic news during periods of high aggregate volatility.
ALAN KWAN, YUKUN LIU, BEN MATTHIES
wiley   +1 more source

Markov Determinantal Point Process for Dynamic Random Sets

Journal of Time Series Analysis, EarlyView.
ABSTRACT The Law of Determinantal Point Process (LDPP) is a flexible parametric family of distributions over random sets defined on a finite state space, or equivalently over multivariate binary variables. The aim of this paper is to introduce Markov processes of random sets within the LDPP framework. We show that, when the pairwise distribution of two
Christian Gouriéroux, Yang Lu
wiley   +1 more source

Machine Learning‐Driven Construction of High‐Yielding Cucumber Plant Architectures in Greenhouse Environments

Plant Biotechnology Journal, EarlyView.
Schematic summary of the machine learning‐driven analysis for high‐yield cucumber architecture. This study employs machine learning methods to analyze key shoot and root traits, building a predictive model for yield. The analysis identifies an optimal plant architecture: a compact and sturdy shoot structure, combined with a narrow yet larger‐diameter ...
Cuifang Zhu, Hongjun Yu, Caili Zhao, Hongyang Wu, Xiaoyang Wan, Tao Lu, Yang Li, Weijie Jiang, Qiang Li   +8 more
wiley   +1 more source

DNAwhisper: An Integrated Deep Learning Pyramidal Framework for Multi‐Trait Genomic Prediction and Adaptive Marker Prioritisation

Plant Biotechnology Journal, EarlyView.
ABSTRACT Genomic selection (GS) is critical for accelerating genetic gain in modern plant breeding. Deep learning approaches offer powerful non‐linear representation capabilities for modelling non‐additive effects. However, their application in GS remains restricted, as high‐dimensional, low‐sample and noisy data hinder the identification of ...
Yuexin Ma, Xiang Li, Xiaohao Ji, Chunying Wang, Di Zhang, Tingting Zhai, Haibo Wang, Ping Liu   +7 more
wiley   +1 more source

The Many Shades of Clouds: How Law Fails (Us) in Seeing Power in the Digital Economy

Regulation &Governance, EarlyView.
ABSTRACT Cloud infrastructures form the backbone of our contemporary (digital) production environment. Despite their centrality, legal and scholarly practice have not been treating cloud infrastructures as single objects of/for study. In other words, we have laws for regulating services and products that flow from (within) cloud infrastructures, but we
Petros Terzis, Anushka Mittal, Joris van Hoboken   +2 more
wiley   +1 more source

Unveiling sex dimorphism in the healthy cardiac anatomy: Fundamental differences between male and female heart shapes

The Journal of Physiology, EarlyView.
Abstract figure legend We present a shape modelling‐based morphological analysis of sex differences in cardiac anatomy. We conduct our analysis on 456 healthy subjects from the UK Biobank (227M/229F) to uncover sex‐based differences in healthy cardiac morphology.
Beatrice Moscoloni, Cameron Beeche, Julio A. Chirinos, Patrick Segers, Mathias Peirlinck   +4 more
wiley   +1 more source