The learning process of artificial neural networks is an important and complex task in the supervised field. main difficulty training a network fine-tuning best set control parameters terms weight bias. This paper presents new method based on hybrid particle swarm optimization with Multi-Verse Optimization (PMVO) to train feedforward networks. algorithm utilized search better solution space whi...

BACKGROUND T1 mapping is widely used today in CMR, however, it underestimates true T1 values and its measurement error is influenced by several acquisition parameters. The purpose of this study was the extraction of accurate T1 data through the utilization of comprehensive, parallel Simulations for QUAntifying RElaxation Magnetic Resonance constants (SQUAREMR) of the MOLLI pulse sequence on a l...

Flocks participating in sire referencing schemes can achieve greater genetic gains than those achievable by within-flock selection. However, requirements for joining these schemes can be prohibitive to some producers. The objectives of this study were to determine whether less restrictive schemes or schemes of shorter duration could achieve rates of gain and reduce inbreeding as efficiently as ...

While holding great development opportunities to be seized, Africa has been identified as particularly vulnerable to climate changes, and the ZRB is no exception to that. With increasing demands to the Zambezi system in terms or water and energy, and rising challenges in the form of less runoff due to climate change, it is paramount to plan ahead. In particular, it must be understood how major ...

The Agricultural Policy Environmental eXtender (APEX) model is capable of estimating edge-of-field water, nutrient, and sediment transport and is used to assess the environmental impacts of management practices. The current practice is to fully calibrate the model for each site simulation, a task that requires resources and data not always available. The objective of this study was to compare m...

Using the most recent atmospheric neutrino data, as well as short-baseline, longbaseline and tritium β-decay data we show that the joint interpretation of the LSND, solar and atmospheric neutrino anomalies in (3+1) sterile neutrino schemes is severely disfavored, in contrast to the theoretically favored (2+2) schemes.

in the early stages of a construction project, the reliability and accuracy of conceptual cost estimates are major concerns for clients and cost engineers. previous studies applied scoring methods and established common rules or mathematical methods to assess the quality of cost estimates. however, those approaches have some limitations in adapting to real-world projects or require understandin...