Results 81 to 90 of about 4,469 (193)

Individualized Pathfinding in Rugged Open Terrains Using Semantic Navigation Meshes

Computer Graphics Forum, EarlyView.
We introduce semantic navigation meshes for complex outdoor terrains, partitioning space into regions with coherent semantic properties like slope or vegetation density. The resulting graphs enable efficient pathfinding with agent‐specific, parameterized cost functions without precomputation, accelerating search while maintaining path quality close to ...
C. Creus, N. Pelechano, O. Argudo
wiley   +1 more source

Distribution-based covariate assessment using wasserstein distance in population pharmacokinetic models

Frontiers in Pharmacology
BackgroundPopulation pharmacokinetic modeling relies on adequate covariate specification to explain interindividual variability and support model-informed precision dosing.
Nicolas Simon, Jean-Sebastien Hulot, Jean-Sebastien Hulot, Katharina von Fabeck   +3 more
doaj   +1 more source

Optimized and Aligned Anisotropic Monte Carlo Sampling Patterns

Computer Graphics Forum, EarlyView.
Abstract Path tracing uses Monte Carlo integration to solve the rendering equation by evaluating the integrand at random sampling points. The convergence rate of the error can be significantly improved by using correlated instead of random sampling, especially on smooth integrands.
Mirco Werner, Johannes Hanika, Carsten Dachsbacher   +2 more
wiley   +1 more source

Biogeography of Atlantic Salmon in the Cape Breton Highlands, Canada

Fisheries Management and Ecology, EarlyView.
ABSTRACT Atlantic Salmon (Salmo salar) populations have experienced significant declines in recent decades. In Canada, conservation efforts are divided into 16 designatable units (DUs) to address unique regional challenges among genetically distinct populations.
Oscar D. P. Notman‐Grobler, Josh Roland, Ken Oakes, Morgan L. Piczak, Robert J. Lennox   +4 more
wiley   +1 more source

Model-Based Localization and Tracking Using Bluetooth Low-Energy Beacons

Sensors, 2017
We introduce a high precision localization and tracking method that makes use of cheap Bluetooth low-energy (BLE) beacons only. We track the position of a moving sensor by integrating highly unreliable and noisy BLE observations streaming from multiple ...
F. Serhan Daniş, Ali Taylan Cemgil
doaj   +1 more source

Toward a Synthetic Data Revolution: Diffusion Model‐Enhanced Hepatocellular Carcinoma Prediction in Steatotic Liver Disease

Hepatology Research, EarlyView.
ABSTRACT Aim Steatotic liver disease (SLD) encompasses a heterogeneous spectrum with varying risks of hepatocellular carcinoma (HCC). Limited sample sizes limit the development of predictive models, particularly for rare outcomes. This study evaluated whether generative artificial intelligence (AI)‐based synthetic data augmentation can enhance HCC risk
Masaya Sato, Takuma Nakatsuka, Yuki Matsushita, Takuma Kaneko, Keisuke Mabuchi, Tomoharu Yamada, Kazuya Okushin, Tatsuya Minami, Yotaro Kudo, Satoshi Kodera, Kazuhiko Koike, Mitsuhiro Fujishiro, Ryosuke Tateishi   +12 more
wiley   +1 more source

The Z-Gromov-Wasserstein Distance

CoRR
V4: Add a section for a numerical algorithm V3: Improved exposition.
Martin Bauer 0004, Facundo Mémoli, Tom Needham, Mao Nishino   +3 more
openaire   +3 more sources

A Non‐Parametric Framework for Correlation Functions on Product Metric Spaces

International Statistical Review, EarlyView.
Summary We propose a non‐parametric framework for analysing data defined over products of metric spaces, a versatile class encountered in various fields. This framework accommodates non‐stationarity and seasonality and is applicable to both local and global domains, such as the Earth's surface, as well as domains evolving over linear time or time ...
Pier Giovanni Bissiri, Bernardo Nipoti, Emilio Porcu, Philip White   +3 more
wiley   +1 more source

An alternating multiple residual Wasserstein regularization model for Gaussian image denoising

Scientific Reports
Residual histograms can provide meaningful statistical information in low-level visual research. However, the existing image denoising methods do not deeply explore the potential of alternate multiple residual histograms for overall optimization ...
Ruiqiang He, Wangsen Lan, Yaojun Hao, Jianfang Cao, Fang Liu   +4 more
doaj   +1 more source

Wasserstein distance-based interference characterization and analysis in NGSO constellations with non-homogeneous stochastic geometry

Digital Communications and Networks
The performance degradation of mega Non-Geostationary Orbit (NGSO) satellite systems caused by co-frequency interference exhibits significant uncertainty, primarily due to the time-varying geometric topology, diverse communication signals, and dynamic ...
Yuanzhi He, Liujing Hu, Li Chen
doaj   +1 more source