Download full-text PDF |
Source |
|---|---|
| http://dx.doi.org/10.1097/00001648-200211000-00024 | DOI Listing |
Publication Analysis
Top Keywords
Similar Publications
Revolutionizing load harmony in edge computing networks with probabilistic cellular automata and Markov decision processes.
Sci Rep
January 2025
Cardiff School of Technologies, Cardiff Metropolitan University, Cardiff, UK.
In general, edge computing networks are based on a distributed computing environment and hence, present some difficulties to obtain an appropriate load balancing, especially under dynamic workload and limited resources. The conventional approaches of Load balancing like Round-Robin and Threshold-based load balancing fails in scalability and flexibility issues when applied to highly variable edge environments. To solve the problem of how to achieve steady-state load balance and provide dynamic adaption to edge networks, this paper proposes a new framework that using PCA and MDP.
View Article and Find Full Text PDFCrystal structure and doping in synthetic enstatite: an analysis of Li/Fe-doped single-crystal samples.
Acta Crystallogr B Struct Sci Cryst Eng Mater
February 2025
Department of Earth Sciences, Sapienza University of Rome, Piazzale Aldo Moro 5, I-00185, Rome, Italy.
A series of Li/Fe-doped enstatite crystals of composition MgLiFeSiO were synthesized and structurally characterized. Under the selected experimental conditions, we grew three crystals of Pbca orthopyroxene (OPX: x = 0.270-0.
View Article and Find Full Text PDFClustering Sequence Data with Mixture Markov Chains with Covariates Using Multiple Simplex Constrained Optimization Routine (MSiCOR).
J Comput Graph Stat
October 2023
Department of Biostatistics, Harvard T. H. Chan School of Public Health, Boston, MA.
Mixture Markov Model (MMM) is a widely used tool to cluster sequences of events coming from a finite state-space. However, the MMM likelihood being multi-modal, the challenge remains in its maximization. Although Expectation-Maximization (EM) algorithm remains one of the most popular ways to estimate the MMM parameters, however, convergence of EM algorithm is not always guaranteed.
View Article and Find Full Text PDFArtificial Intelligence and Identification of the Deceased: a Narrative Review With Implications in Forensic Science.
Behav Sci Law
January 2025
Department of Anthropology, Panjab University, Chandigarh, India.
Identification of the dead is of utmost importance in mass disasters, war crimes, and forensic examinations. The biological profile, established by a forensic anthropologist is one the necessary steps involved in the identification of the dead. Several parameters can be estimated such as sex, age, stature, biogeographical affinity, and DNA profile of the unknown person.
View Article and Find Full Text PDFPredefined-time adaptive neural network decentralized control for large-scale interconnected systems with input hysteresis.
ISA Trans
January 2025
School of Information Science and Technology, Beijing University of Technology, Beijing 100124, China. Electronic address:
This study endeavors to develop a predefined-time adaptive neural network decentralized controller for large-scale interconnected nonlinear systems with input hysteresis. Within the framework of the backstepping technique, the proposed control scheme guarantees that the tracking error converges to a small bounded set within a predefined settling time. The upper limit of this convergence time is determined by a single adjustable control parameter.
View Article and Find Full Text PDFWant AI Summaries of new PubMed Abstracts delivered to your In-box?
Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!