A selection of results for plant foods is given in Table 2. This shows that most uncooked plant foods contain < 5 μg g−1. However, reported concentrations in herbs and spices are higher due to their dehydrated state and their content of aluminum-containing grinding materials. Table 2. ...
The selection of the components used in the preparation of SEDDS-FEX was carried out considering the toxicity, solvent capacity, miscibility, physical state at room temperature, and stability. FEX was weighed in a centrifuge tube (15 mL) containing glass spheres, along with Tween 80®, to ...
In addition to the right selection of tool material, unconventional machining improved cutting performance is common. One of the used methods is the electrical discharge machining (EDM), laser machining (LAM), electrochemical machining, ultrasonic machining (USM), and high-speed machining [27,28,29...
The selection of slitting parameters is done by trial and error, which increases the process’ duration and the amount of waste. In case of the cut edge’s defects, smoothing and deburring operations are used, which increases the costs of production. High sheared edge burrs can scratch the ...
A window selection technique based on Ecotect was developed to uncover the problems preventing the advancement of building energy efficiency. In addition, it offers a positive way of assessing the thermal performance of building windows. From the perspective of heat transfer and energy consumption, it...
4.1. Initial Structure Selection According to the equivalent method in Section 3, the thickness of the mirror can be selected to meet the bending stiffness requirements. In order to realize the high lightweight design of the mirror, it is necessary to select the support structure and optimize th...
The selection of the number of neurons in the hidden layer depend upon the non-linearity of the dataset. A high number of neurons could result in overfitting, while a lower number of neurons could lead to inefficient training of the ANN. Therefore, in order to deal with a highly non-...
Download keyboard_arrow_down Browse Figures Versions Notes Abstract As industrial manufacturing technologies continuously improve, many conventional industrial materials are struggling to meet the needs of today’s industries. Aluminum alloys are currently the most extensively used non-ferrous metal in ...
4.3. Selection of Batch Size The batch size is also an essential hyperparameter for training the model. Although the impact of batch size on the model test accuracy and training loss is relatively small compared with that of the learning rate, the choice of the batch size is also critical ...
Moreover, the selection of the appropriate corrosion prediction model is a vital process of the corrosion prediction. A steady-state corrosion field can be used to model for galvanic corrosion of typical macrostructures in solution or thin electrolyte film. Whereas the corrosion medium changes ...