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It is well-known that nanofluids differ significantly from traditional heat transfer fluids in terms of their thermal and transfer characteristics. Two of CO2 transfer characteristics, its thermal conductivity and its viscosity, are crucial to improved oil retrieval methods and industries refrigeration. By combining molecular modelling with various machine learning algorithms, this study predicts the conduction characteristics of iron oxide CO2 nanofluids. It is possible to evaluate the accuracy of these transfer parameter estimates by applying machine learning methods such as decision tree, K-nearest neighbors, and linear regression. Predicting these transfer qualities requires knowing the size, fraction of nanoparticle volume, and temperature. To determine the characteristics, molecular dynamics simulations are run using the large-scale atom Vastly equivalent simulant. An inter- and intra-variable Pearson correlation was established to confirm that the input variables were reliant on m and thermal conductivity. The results were finally confirmed by using statistical coefficients of determination. For a variety of temperature ranges, volume fractions, and nanoparticle sizes, the study found that the decision tree model was the best at predicting the transport parameters of nanofluids. It has a 99% success rate. [ABSTRACT FROM AUTHOR]

In this letter, the performance of space shift keying (SSK) modulation is analyzed with partial amplify and forward (AF) relay selection (RS) from multiple numbers of relays and selection combining (SC) at the receiver. This scheme selects a single radio frequency (RF) chain from the transmitter to the relay using the RS as well as relay to the receiver using the SC technique. Closed‐form expression for average bit error probability (ABEP) is derived and Numerical and computer simulation results are presented with the discussion. The result derived is compared with the best RS where the best link between the transmitter to the receiver is selected with SC at the receiver. It is revealed that there is an interesting trade‐off between partial RS and best RS with SC at the receiver. However, it is shown that partial RS with SC has almost equal ABEP performance in comparison to best RS with SC with low hardware complexity. [ABSTRACT FROM AUTHOR]