Results 21 to 30 of about 4,727,432 (231)

A Hybrid Probabilistic-Neutrosophic Adaptive Convergence Model for Analyzing Innovative Performance of Agricultural Technology Enterprises in the Digital Economy [PDF]

Neutrosophic Sets and Systems
This paper introduces a novel mathematical framework that integrates hybrid probabilistic-neutrosophic logic with adaptive rough ideal statistical convergence (AR-I st) to model and analyze the dynamic performance of innovative agricultural technology ...
Hongyan Xie
doaj   +1 more source

Convergence in probability and almost surely convergence in probabilistic normed spaces [PDF]

Mathematical Sciences, 2012
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Beitollahi, Arman, Azhdari, Parvin
openaire   +1 more source

QIACO: A Quantum Dynamic Cost Ant System for Query Optimization in Distributed Database

IEEE Access, 2021
Query optimization is considered as the most significant part in a model of distributed database. The optimizer tries to find an optimal join order, which reduces the query execution cost. Several factors may affect the cost of query execution, including
Sayed A. Mohsin, Saad Mohamed Darwish, Ahmed Younes   +2 more
doaj   +1 more source

Toward a kinetic-based probabilistic time geography [PDF]

, 2014
Time geography represents a powerful framework for the quantitative analysis of individual movement. Time geography effectively delineates the space–time boundaries of possible individual movement by characterizing movement constraints.
Nathoo, F.S., Long, Jed Andrew, Nelson, T.A.   +2 more
core   +1 more source

Some new lacunary statistical convergence with ideals

Journal of Inequalities and Applications, 2017
In this paper, the idea of lacunary I λ $I_{\lambda}$ -statistical convergent sequence spaces is discussed which is defined by a Musielak-Orlicz function.
Adem Kilicman, Stuti Borgohain
doaj   +1 more source

Ideal Convergence of Random Variables

Journal of Function Spaces and Applications, 2013
The aim of this paper is to introduce and study the notion of I-convergence of random variables via probabilistic norms. Furthermore, we introduce I-convergence in Lp space and establish some interesting results.
B. Hazarika, S. A. Mohiuddine
doaj   +1 more source

Existence of common fixed points for linear combinations of contractive maps in enhanced probabilistic metric spaces

Nonlinear Analysis, 2019
In this paper, we introduce the concept of enhanced probabilistic metric space (briefly EPM-space) as a type of probabilistic metric space. Also, we investigate the existence of fixed points for a (finite or infinite) linear combination of different ...
Jafari Jafari, Maryam Shams, Asier Ibeas, Manuel De La Sen   +3 more
doaj   +1 more source

Building Energy Consumption Prediction Using a Deep-Forest-Based DQN Method

Buildings, 2022
When deep reinforcement learning (DRL) methods are applied in energy consumption prediction, performance is usually improved at the cost of the increasing computation time.
Qiming Fu, Ke Li, Jianping Chen, Junqi Wang, You Lu, Yunzhe Wang   +5 more
doaj   +1 more source

An Improved Iterative Reweighted STAP Algorithm for Airborne Radar

Remote Sensing, 2022
In recent years, sparse recovery-based space-time adaptive processing (SR-STAP) technique has exhibited excellent performance with insufficient samples.
Weichen Cui, Tong Wang, Degen Wang, Cheng Liu   +3 more
doaj   +1 more source

Probabilistic retrieval models - relationships, context-specific application, selection and implementation [PDF]

, 2011
PhDRetrieval models are the core components of information retrieval systems, which guide the document and query representations, as well as the document ranking schemes.
Wang, Jun
core   +4 more sources