important parameters on apple drying process are investigated experimentally and modeled employing artificial neural network and neuro-taguchi's method. experimental results show that the apple drying curve stands in the falling rate period of drying. temperature is the most important parameter that has a more pronounced effect on drying rate than the other two parameters i.e. air velocity and ...

Most existing attention mechanisms have no supervised signal during the training phase, which limits model feature learning capability. To solve this problem, we propose a novel parameter-free mechanism based on class activation mapping. Attention usually consist of spatial and channel attention, indicates that “where” “what” is more meaningful, respectively. Our als...

To determine the optimal fertilizer discharging performance, a spiral applicator was designed according to orchard agricultural requirements. The influence of different parameter combinations speed, blade diameter, and pitch on coefficient variation (CV) discharge uniformity predicted using neural-network-based model by Box–Behnken design (BBD) test. According extracted results, neural network ...

Abstract Anomalous diffusion behavior can be observed in many single-particle (contained crowded environments) tracking experimental data. Numerous models used to describe such In this paper, we focus on two common processes: fractional Brownian motion (fBm) and scaled (sBm). We proposed novel methods for sBm anomalous parameter estimation based the autocovariance function (ACVF). Such a functi...

Abstract The Quantum approximate optimization algorithm (QAOA) is a quantum-classical hybrid aiming to produce solutions for combinatorial problems. In the QAOA, quantum part prepares parameterized state that encodes solution, where parameters are optimized by classical optimizer. However, it difficult find optimal when circuit becomes deeper. Hence, there numerous active research on performanc...

The paper describes an artificial neural network (ANN) model to predict the height of destressed zone (HDZ) which is taken as equivalent to the combined height of caved and fractured zones above the mined panel in longwall mining. For this, the suitable datasets have been collected from the literatures and prepared for modeling. The data were used to construct a multilayer perceptron (MLP) netw...