The Internet of Things (IoT)-inspired data sensing is also expected for detecting emotion and improving our life. The IoT has been acquiring much attention along with the improvement, miniaturization, and price reduction of wireless devices18,19,20,21,22,23,24,25,26,27,28. Many electric devi...
Most respiratory emergency visits in Santiago were significantly associated with atmospheric contamination, specifically, with particles emitted during the combustion of fixed or mobile sources, like vehicle traffic [45]. The effects of atmospheric alerts by means of a multiple linear regression model ...
Machine learning algorithms have been successfully applied to many topics including engineering [14], firm performance [15], complaints management [16], shopping preferences [17], customer complaints in the mobile telecom industry [18], health insurance [19], drought monitoring [20], review helpfuln...
As a basis for comparison, the training times of Decision Trees trained to build the meta-model range up to 14 s, while that of Neural Networks is over 1400 s. Given these ranges of values, the average errors for each model are considered acceptable. The results also show that the model...
In a range of machine learning techniques, due to unnecessary data training, the models appear to overfit [84] and lead to lower training error values and greater testing error values. In order to choose the best predictive model that can solve overfitting, a minimized objective function (OF)...
s power usage data were used and analyzed for the final fuel and electricity consumption by various energy sources and consumer groups to test the DNN-SE technique. The energy intensity and labor productivity indexes for several economic sectors are displayed. A wide range of economic activities ...
Lift values fall in the range (0, +∞+∞). A lift value greater than one indicates a positive correlation between the considered cells, whereas a value less than one corresponds to a negative correlation.To identify the cells that are most correlated with the target one, we first mine the...
Technically, the Canopeo-weather model is more flexible by their lesser demand for inputs for ease of adaptation to other region because rice growers can easily use their mobile phones to assess information on the model components. The Canopeo app is freely available online, and weather data ...
In practice, average statistical annual waste rates are often accepted as sources, or this information is recovered from the readings of stationary or mobile sensors installed at some observation points 𝑥𝑖∈Ω xi∈Ω¯, 𝑖=1,2,…,𝑁seni=1,2,…,Nsen. In some cases, the missing ...
TEL incorporates many emerging technologies, including learning management systems (LMS), mobile learning applications, virtual and augmented reality interventions, cloud learning services, social networking applications for learning, video learning, robotics, data mining, and so forth [7]. According to ...