Results 71 to 80 of about 50,402 (312)

On Families of Generalized Pareto Distributions: Properties and Applications [PDF]

, 2021
Duha Hamed, Felix Famoye, C. Lee
openalex   +1 more source

Multiobjective Environmental Cleanup with Autonomous Surface Vehicle Fleets Using Multitask Multiagent Deep Reinforcement Learning

Advanced Intelligent Systems, EarlyView.
This study presents a multitask strategy for plastic cleanup with autonomous surface vehicles, combining exploration and cleaning phases. A two‐headed Deep Q‐Network shared by all agents is traineded via multiobjective reinforcement learning, producing a Pareto front of trade‐offs.
Dame Seck, Samuel Yanes, Manuel Perales, Daniel Gutiérrez, Sergio Toral   +4 more
wiley   +1 more source

Robust Dysarthric Speech Recognition with GAN Enhancement and LLM Correction

Advanced Intelligent Systems, EarlyView.
This study tackles dysarthric speech recognition by combining generative adversarial network (GAN)‐generated synthetic data with large language model (LLM)‐based error correction. The approach integrates three key elements: an improved CycleGAN to generate synthetic dysarthric speech for data augmentation, a multimodal automatic speech recognition core
Yibo He, Kah Phooi Seng, Chee Shen Lim, Li Minn Ang   +3 more
wiley   +1 more source

Estimasi Value-at-Risk Dengan Pendekatan Extreme Value Theory-Generalized Pareto Distribution (STUDI KASUS IHSG 1997-2004) [PDF]

, 2006
Dalam paper ini, akan diperkenalkan suatu metode dalam perhitungan VaR yaitu VaR-GPD. Kelebihan metode ini adalah pendekatannya bahwa data mengikuti distribusi GPD (Generalized Pareto Distribution) yang mengakomodasi bentuk distribusi empiris data yang ...
Effendie, A. R. (Adhitya), Hastaryta, R. (Rossa)   +1 more
core  

Harnessing Generative AI for Sustainable Supply Chains: Lean, Circular and Green Perspectives

Business Strategy and the Environment, EarlyView.
ABSTRACT Generative artificial intelligence is playing a significant role in the transformation of digital ecosystems by reinventing the processes of content generation, process automation, product innovation and customer experience. At the same time that these technologies are becoming more integrated into routine operations, the focus has shifted to ...
Ashutosh Singh, Rsha Alghafes, Judit Petra Koltai, Sushant Kumar Vishnoi   +3 more
wiley   +1 more source

Estimation and Bayesian Prediction of the Generalized Pareto Distribution in the Context of a Progressive Type-II Censoring Scheme

Applied Sciences
The generalized Pareto distribution plays a significant role in reliability research. This study concentrates on the statistical inference of the generalized Pareto distribution utilizing progressively Type-II censored data.
Tianrui Ye, Wenhao Gui
doaj   +1 more source

Estimation of Beta-Pareto Distribution Based on Several Optimization Methods

Mathematics, 2020
This paper is concerned with the maximum likelihood estimators of the Beta-Pareto distribution introduced in Akinsete et al. (2008), which comes from the mixing of two probability distributions, Beta and Pareto.
Badreddine Boumaraf, Nacira Seddik-Ameur, Vlad Stefan Barbu   +2 more
doaj   +1 more source

Runtime Distributions and Criteria for Restarts

, 2017
Randomized algorithms sometimes employ a restart strategy. After a certain number of steps, the current computation is aborted and restarted with a new, independent random seed. In some cases, this results in an improved overall expected runtime.
A Arbelaez, CP Gomes, DF Barrero, JH Lorenz, K Wolter, M Luby, ME Crovella, MO Lorenz, MR Evans, P Muñoz, S Kotz, S Reuveni   +11 more
core   +1 more source

A new generalization of the Pareto–geometric distribution

Journal of the Egyptian Mathematical Society, 2013
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Nassar, M., Nada, N.
openaire   +1 more source

Optimization of 3D‐Printed Structured Packings—Current State and Future Developments

Chemie Ingenieur Technik, EarlyView.
This paper gives an overview about structured packing development for distillation, surveying heuristic development cycles, computational fluid dynamics simulations, and additive manufacturing techniques. The emerging application of shape optimization to improve packings is emphasized, and its benefits, impact, and limitations are discussed.
Dennis Stucke, Sebastian Blauth, Christian Leithäuser, Thomas Grützner   +3 more
wiley   +1 more source