[Read the Paper (PDF)](paper/Recursive_Categorical_Framework.pdf) [Official DOI](https://doi.org/10.5281/zenodo.17567903) [Academia.edu Page](https://www.academia.edu ...
Present address: Rosemary A. Martoma, General Pediatrics, Boston Children's Hospital, 300 Longwood Ave, Boston, MA 02115.
ABSTRACT: This paper investigates the application of machine learning techniques to optimize complex spray-drying operations in manufacturing environments. Using a mixed-methods approach that combines ...
Abstract: We present a novel recursive Bayesian estimation framework using B-splines for continuous-time 6-DoF dynamic motion estimation. The state vector consists of a recurrent set of position ...
Accurate disaster prediction combined with reliable uncertainty quantification is crucial for timely and effective decision-making in emergency management. However, traditional deep learning methods ...
Based on the compounding mechanism, a unique discrete probability distribution is investigated in this paper. The Poisson distribution is mixed with a lifetime model called as the Fav-Jerry model. The ...
Abstract: In this article, we present a principled study on establishing a recursive Bayesian estimation scheme using B-splines in Euclidean spaces. The use of recurrent control points as the state ...
Diversity and Distributions, Vol. 31, No. 5 (May 2025), pp. 1-9 (9 pages) Aim: Recent methodological advances for studying how animals move and use space with telemetry data have focused on fine-scale ...
Mathematics Department, Egerton University, Njoro Nakuru, Kenya. Bayesian techniques have been applied in many epidemiological settings, such as disease monitoring, outbreak simulation, and prevalence ...
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