Results 51 to 60 of about 380,355 (349)

Probabilistic analysis of numerical integration algorithms

Journal of Complexity, 1991
AbstractWe study the conditional expected error of approximation for a class of adaptive numerical integration algorithms. We analyze a type of divided difference test—an error estimate obtained by replacing the higher derivative of the integrand in the local error remainder term of a quadrature formula by the higher divided differences of the nearby ...
Feng Gao, Feng Gao
openaire   +2 more sources

IMPLEMENTATION OF FUZZY C-MEANS AND FUZZY POSSIBILISTIC C-MEANS ALGORITHMS ON POVERTY DATA IN INDONESIA

Barekeng
Cluster analysis involves the methodical categorization of data based on the degree of similarity within each group to group data with similar characteristics. This study focuses on classifying poverty data across Indonesian provinces.
Dian Kurniasari, Virda Kurniawati, Aang Nuryaman, Mustofa Usman, Rizki Khoirun Nisa   +4 more
doaj   +1 more source

The Bayesian Virtual Epileptic Patient: A probabilistic framework designed to infer the spatial map of epileptogenicity in a personalized large-scale brain model of epilepsy spread

NeuroImage, 2020
Despite the importance and frequent use of Bayesian frameworks in brain network modeling for parameter inference and model prediction, the advanced sampling algorithms implemented in probabilistic programming languages to overcome the inference ...
M. Hashemi, A.N. Vattikonda, V. Sip, M. Guye, F. Bartolomei, M.M. Woodman, V.K. Jirsa   +6 more
doaj   +1 more source

Anomaly, reciprocity, and community detection in networks

Physical Review Research, 2023
Anomaly detection algorithms are a valuable tool in network science for identifying unusual patterns in a network. These algorithms have numerous practical applications, including detecting fraud, identifying network security threats, and uncovering ...
Hadiseh Safdari, Martina Contisciani, Caterina De Bacco   +2 more
doaj   +1 more source

Path Planning for UAV Based on Improved PRM

Energies, 2022
In this paper, an improved probabilistic roadmap (IPRM) algorithm is proposed to solve the energy consumption problem of multi-unmanned aerial vehicle (UAV) path planning with an angle.
Weimin Li, Lei Wang, Awei Zou, Jingcao Cai, Huijuan He, Tielong Tan   +5 more
doaj   +1 more source

Ranking and Repulsing Supermartingales for Reachability in Probabilistic Programs

, 2018
Computing reachability probabilities is a fundamental problem in the analysis of probabilistic programs. This paper aims at a comprehensive and comparative account on various martingale-based methods for over- and under-approximating reachability ...
A Abate, A Chakarov, A Chakarov, A McIver, Ichiro Hasuo, J Steinhardt, J-P Katoen, K Chatterjee, M Avanzini, M Jurdziński, MY Vardi, R Cousot, Sheshansh Agrawal   +12 more
core   +1 more source

OPERATIONAL ANALYSIS OF COMPLEX MEDICAL STATES BY PHOTONICS METHODS

Biomedical Photonics, 2018
In this paper we analyze the possibility of using special methods and equipment of coherent photonics when working with multi-parameter information.
A. I. Larkin, K. A. Trukhanov
doaj   +1 more source

Pumping optimization of coastal aquifers using probabilistic search – case study: Quaternary aquifer of El-Arish Rafah, Egypt

Hydrology Research, 2020
The increased pumping of freshwater from coastal aquifers, to meet growing demands, causes an environmental problem called saltwater intrusion. Consequently, proper management schemes are necessary to tackle such a situation and permit the optimal ...
Hamdy A. El-Ghandour, Emad Elbeltagi
doaj   +1 more source

On Neutrosophy logic for Multiple Correlation Analysis in Fuzzy Uncertain Database [PDF]

Neutrosophic Sets and Systems
The primary goal of this paper is to introduce a novel method for mining frequent and interesting items by incorporating correlation analysis between two items in an uncertain transactional database using the OWA operator. The work is further expanded by
Samar Wazir, M.M. Sufyan Beg, Tanvir Ahmad, Shahab Saquib Sohail   +3 more
doaj   +1 more source

An Adaptive Management Model for Brown Bears in Hokkaido: Based on Total Population and the Number of Nuisance Bears

Population Ecology, EarlyView.
Bear management changes management actions according to the horizontal axis of the population size and the vertical axis of the number of nuisance bears. Aiming for the target population size of Ntar, Actions I and II protect the bears, and Action IV reduces the population.
Hiroyuki Matsuda, Akira Maki, Tsutomu Mano, Hifumi Tsuruga, Hino Takafumi, Shinichi Horino   +5 more
wiley   +1 more source