Results 41 to 50 of about 2,046,379 (297)

Spatio-Temporal Marked Point Process Model to Understand Forest Fires in the Mediterranean Basin

Journal of Agricultural Biological and Environmental Statistics
Understanding and predicting forest fires have proved a highly difficult endeavour, which requires extending and adapting complex models used in different fields.
Óscar Rodríguez de Rivera, J. Espinosa, Javier Madrigal, M. Blangiardo, A. López-Quílez   +4 more
semanticscholar   +1 more source

A Versatile Stochastic Duel Game

Mathematics, 2020
This paper deals with a standard stochastic game model with a continuum of states under the duel-type setup. It newly proposes a hybrid model of game theory and the fluctuation process, which could be applied for various practical decision making ...
Song-Kyoo (Amang) Kim
doaj   +1 more source

Transformer-based neural marked spatio temporal point process model for analyzing football match events

Applied intelligence (Boston)
Predictive modeling plays a crucial role in machine learning, data analysis, and statistics. In sports, predictive modeling methods have emerged to provide insights and evaluate performances based on key performance metrics. However, most existing models
Calvin C. K. Yeung, Tony Sit, Keisuke Fujii   +2 more
semanticscholar   +1 more source

Catastrophe Insurance Modeled by Shot-Noise Processes

Risks, 2014
Shot-noise processes generalize compound Poisson processes in the following way: a jump (the shot) is followed by a decline (noise). This constitutes a useful model for insurance claims in many circumstances; claims due to natural disasters or self ...
Thorsten Schmidt
doaj   +1 more source

Radioisotope Identification with List-Mode Gamma-Ray Data

Data Science in Science
This work explores the potential of utilizing temporal data from gamma-ray detectors, known as list-mode data, to enhance radioisotope identification. Traditional identification methods, which rely on full gamma-ray spectrum analysis, often require long ...
Lekha Patel, Efrain H. Gonzalez, Ryan J. Kamm, Aaron J. Hill   +3 more
doaj   +1 more source

Feasibility and Safety of Somato‐Cognitive Coordination Therapy for Cerebellar Ataxia Following Pediatric Brain Tumor Treatment

Pediatric Blood &Cancer, EarlyView.
ABSTRACT Background Cerebellar ataxia after pediatric brain tumor treatment can cause persistent gait, balance, and speech impairment, yet no established rehabilitation strategy exists. Somato‐cognitive coordination therapy (SCCT) is a virtual reality–guided intervention designed to promote sensorimotor integration through visually constrained reaching
Masanobu Takeuchi, Takashi Matsuzawa, Jun Yamanishi, Masahiro Yoshitomi, Junji Ikeda, Shin‐Ichi Tsujimoto, Yasuteru Yamaguchi, Norio Shiba, Dhroov Pathare, Ayumi Kato, Masahiko Hara   +10 more
wiley   +1 more source

FURTHER RESULTS ON VARIANCES OF LOCAL STEREOLOGICAL ESTIMATORS

Image Analysis and Stereology, 2011
In the present paper the statistical properties of local stereological estimators of particle volume are studied. It is shown that the variance of the estimators can be decomposed into the variance due to the local stereological estimation procedure and ...
Zbyněk Pawlas, Eva B Vedel Jensen
doaj   +1 more source

Guidelines for Pediatric Radiotherapy Simulation: A Report From the Children's Oncology Group Radiation Oncology Discipline

Pediatric Blood &Cancer, EarlyView.
ABSTRACT Pediatric radiation therapy presents unique challenges compared to adult treatments, including those of immobilization, potential need for sedation, and the critical importance of accurate, reproducible positioning. Additionally, heightened attention to imaging doses is necessary to minimize long‐term toxicity in survivors.
Parham Alaei, Stephen Mihalcik, Sujith Baliga, Young Kwok, Dana Casey, Eric Ehler, Christiane Burton, John C. Breneman, Daphne A. Haas‐Kogan, Suzanne L. Wolden, Arnold C. Paulino, Nadia N. Laack, Natia Esiashvili, Sarah Milgrom, Christine Hill‐Kayser, Thomas J. Fitzgerald, John A. Kalapurakal, Chia‐Ho Hua   +17 more
wiley   +1 more source

COMBINE MARKOV RANDOM FIELDS AND MARKED POINT PROCESSES TO EXTRACT BUILDING FROM REMOTELY SENSED IMAGES [PDF]

ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2012
Automatic building extraction from remotely sensed images is a research topic much more significant than ever. One of the key issues is object and image representation.
D. Chai, W. Förstner, M. Ying Yang
doaj   +1 more source

Personalized Zebrafish Models for Fusion‐Positive Pediatric Sarcomas

Pediatric Blood &Cancer, EarlyView.
ABSTRACT Clinical sequencing efforts have revolutionized our approaches to categorizing pediatric cancers in real time. This has dramatically improved our ability to profile pediatric tumors, identify actionable vulnerabilities, and influence clinical care.
Lisa H. Hall, Emma N. Harrison, Genevieve C. Kendall   +2 more
wiley   +1 more source