For a variety of reasons, everyday stress is a major issue for humans. People may require emotional support or a method of stress relief during stressful situations. Therefore, in order to offer emotional support, a s...
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Numerous obstacles endanger the livelihoods of smallholder farmers and global food security. Crop output losses due to plant diseases alone are estimated to be between 15% to 25% every year. However, farmers' capa...
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Children with autism are mainly affected in their abilities in the areas of behavior, socialization, language and learning. In order to improve the latter, this article presents a mobile application with augmented rea...
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Requirements and conceptual model traceability is a core software engineering activity that supports decision-making during the entire software development life cycle. With traceability data sets growing, traceability...
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Social media platforms serve as significant spaces for users to have conversations, discussions and express their opinions. However, anonymity provided to users on these platforms allows the spread of hate speech and ...
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Graph Neural Networks (GNNs) have emerged as a widely used and effective method across various domains for learning from graph data. Despite the abundance of GNN variants, many struggle with effectively propagating me...
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Ballistocardiography is a valuable tool to noninvasively monitor patients in everyday situations. As a Ballistocardiogram (BCG) signal depicts mass shifts in the human body, it picks up the respiratory process which h...
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The prediction of wind speed is imperative nowadays due to the increased and effective generation of wind *** power is the clean,free and conservative renewable *** is necessary to predict the wind speed,to implement ...
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The prediction of wind speed is imperative nowadays due to the increased and effective generation of wind *** power is the clean,free and conservative renewable *** is necessary to predict the wind speed,to implement wind power *** paper proposes a new model,named WT-GWO-BPNN,by integrating Wavelet Transform(WT),Back Propagation Neural Network(BPNN)and GreyWolf Optimization(GWO).The wavelet transform is adopted to decompose the original time series data(wind speed)into approximation and detailed ***-BPNN is applied to predict the wind *** is used to optimize the parameters of back propagation neural network and to improve the convergence *** work uses wind power data of six months with 25,086 data points to test and verify the performance of the proposed *** proposed work,WT-GWO-BPNN,predicts the wind speed using a three-step procedure and provides better *** Absolute Error(MAE),Mean Squared Error(MSE),Mean absolute percentage error(MAPE)and Root mean squared error(RMSE)are calculated to validate the performance of the proposed *** results demonstrate that the proposed model has better performance when compared to other methods in the literature.
In recent years, the rise of conversational AI and chatbots, like ChatGPT, has begun to revolutionize various sectors. One domain ripe for exploration is academia, where the intersection of vast knowledge bases and re...
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Federated Learning (FL) and Privacy-Preserving AI present a promising frontier for fostering collaborative machine learning while upholding data privacy at individual levels. Yet, these advancements are not without ch...
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