The global demand for electricity and the assessment of service quality provided by electricity utility companies requires robust methodological approaches to ensure accurate and reliable measurements. Traditional met...
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With the advancement of numerous applications of AI techniques, in situations involving imprecision or uncertainty, experts may issue inaccurate, conflicting opinions or omit information. The usual systems based on cl...
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This paper proposes a solution for markerless gait analysis based on point cloud data, which are three-dimensional data obtained by sensors such as LiDAR, that can capture body movements in real-time and in various en...
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This research aims to measure the ANEEL Consumer Satisfaction Index (IASC) of CELESC electricity distributor through the application of the Item Response Theory. The IASC is an indicator that allows evaluates the sati...
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Broiler flock welfare is usually assessed through mortality,physiology,behavior,and walk-ing *** possibility of assessing broiler chicken lameness using the bird walking abil-ity was investigated using the machine lea...
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Broiler flock welfare is usually assessed through mortality,physiology,behavior,and walk-ing *** possibility of assessing broiler chicken lameness using the bird walking abil-ity was investigated using the machine learning approach for the first *** on broiler walking speed and acceleration,genetic strain,and sex were recorded and input in a *** were classified according to the 6-point gait score(GS0 is a sound bird,and GS5 is a severely lame bird).Decision trees were built initially using all *** confusion matrix of each developed model was *** pruning technique was used,removing from the dataset the variables that did not infer in the classification *** reorganized the dataset and re-arranged the data by grouping the intermediate target class of gait score using the Borda Count ***-processing data,we obtained a new set of decision *** the 3-point gait score(GS0 is a sound bird,and GS2 is a lame bird),we obtained a new model with better accuracy(78%);however,the model had a lower accuracy for classifying lame broilers(GS2,5%).The final decision tree was selected for classifying broilers,either sound or lame,according to their walking *** developed model presented good accuracy(91%),and it ordered properly sound(86%)and lame birds(92%).The novel model might be used to assess broiler lameness on-farm by registering the bird displacement *** developments using the model might allow flock lameness detection automatically.
This work introduces a methodology to estimate coffee prices based on the use of Extreme Learning *** process is initiated by identifying the presence of nonstationary components,like seasonality and *** components ar...
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This work introduces a methodology to estimate coffee prices based on the use of Extreme Learning *** process is initiated by identifying the presence of nonstationary components,like seasonality and *** components are withdrawn if they are ***,the temporal lags are selected based on the response of the Partial Autocorre-lation Function *** predictors,we address the following models:Exponential Smooth-ing(ES),Autoregressive(AR)and Autoregressive Integrated and Moving Average(ARIMA)models,Multilayer Perceptron(MLP)and Extreme Learning Machines(ELMs)neural *** computational results based on three error metrics and two coffee types(Ara-bica and Robusta)showed that the neural networks,especially the ELM,can reach higher performance levels than the other *** methodology,which presents preprocess-ing stages,lag selection,and use of ELM,is a novelty that contributes to the coffee prices forecasting field.
The increasing quest for therapeutic alternatives in treating non-communicable chronic diseases like obesity has propelled research into bioactive peptides, with a particular focus on milk due to its rich protein comp...
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In this paper, a risk analysis was approached in Contingency Testing with the purpose of serving as a support for the prevention of the disaster situation in an IT environment by a Data Protection Officer (DPO) suppor...
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The textile sector faces reverse logistics, with activities that can foster a circular economy, such as recycling and reusing materials, a challenge. Industrial waste represents difficulties in all countries, and sear...
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Demand generation is crucial for organizations, supplying sales teams with well-qualified commercial opportunities. Despite the wide variety of existing opportunity qualification methodologies, the subjective nature o...
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