Results 91 to 100 of about 6,917,983 (390)
Application of Shannon Entropy for Selecting the Optimum input Variables in River Flow Simulation using Intelligent Models (Case Study: SofyChay) [PDF]
علوم و مهندسی آبیاری, 2018 Accurate prediction of the river flow is an important element in the management of surface water resources, dam reservoir operation, flood control and drought.
fateme Akhoni Pourhosseini +1 more
doaj +1 more source
Probabilistic Inferences in Bayesian Networks [PDF]
arXiv, 2010 Bayesian network is a complete model for the variables and their relationships, it can be used to answer probabilistic queries about them. A Bayesian network can thus be considered a mechanism for automatically applying Bayes' theorem to complex problems.
arxiv
Journal of Clinical Periodontology, 2015 AIM The aim of this study was to assess the effect of systemic antibiotic therapy on the treatment of aggressive periodontitis (AgP). METHODS This study was conducted and reported in accordance with the PRISMA statement. The MEDLINE, EMBASE and CENTRAL
C. Rabelo +6 more
semanticscholar +1 more source
Journal of the Brazilian Computer Society, 1997 Bayesian techniques have been developed over many years in a range of different fields, but have only recently been applied to the problem of learning in neural networks. As well as providing a consistent framework for statistical pattern recognition, the Bayesian approach offers a number of practical advantages including a solution to the problem of ...
openaire +4 more sources
A Multi‐Objective Molecular Generation Method Based on Pareto Algorithm and Monte Carlo Tree Search
Advanced Science, EarlyView.Pareto Monte Carlo Tree Search Molecular Generation (PMMG), a molecular generation approach leveraging Monte Carlo Tree Search (MCTS) and Pareto algorithm, efficiently explores the Pareto front in high‐dimensional objective spaces for multi‐objective drug design.
Yifei Liu +12 more
wiley +1 more source
A Knowledge‐Guided Graph Learning Approach Bridging Phenotype‐ and Target‐Based Drug Discovery
Advanced Science, EarlyView.Knowledge‐Guided Drug Relational Predictor (KGDRP), a graph representation learning approach, effectively integrates multiple omics data, including biological network data, gene expression data, and sequence data that incorporates chemical molecular structures.
Qing Ye +10 more
wiley +1 more source
Efficient imaging and computer vision detection of two cell shapes in young cotton fibers
Applications in Plant Sciences, Volume 10, Issue 6, November-December 2022., 2022 Abstract Premise The shape of young cotton (Gossypium) fibers varies within and between commercial cotton species, as revealed by previous detailed analyses of one cultivar of G. hirsutum and one of G. barbadense. Both narrow and wide fibers exist in G. hirsutum cv.
Benjamin P. Graham +5 more
wiley +1 more source
Bayesian Learning Networks Approach to Cybercrime Detection [PDF]
, 2003 The growing dependence of modern society on telecommunication and information networks has become inevitable. The increase in the number of interconnected networks to the Internet has led to an increase in security threats and cybercrimes such as ...
Abouzakhar, Nasser +4 more
core
Actionable Forecasting as a Determinant of Biological Adaptation
Advanced Science, EarlyView.A new framework reveals how biological systems can achieve precise adaptation by tracking an actionable target that combines the current optimal state with its rate of change. This approach, implemented through dynamics‐informed neural networks, demonstrates that predictive mechanisms like circadian rhythms become beneficial when environmental sensing ...
Jose M. G. Vilar, Leonor Saiz
wiley +1 more source
Intrusion Detection System using Bayesian Network Modeling [PDF]
, 2014 Computer Network Security has become a critical and important issue due to ever increasing cyber-crimes. Cybercrimes are spanning from simple piracy crimes to information theft in international terrorism.
Abouzakhar, Nasser +3 more
core