Titlebook: AI Technologies for Information Systems and Management Science; Proceedings of 6th I Lalit Garg,Nishtha Kesswani,Dilip Singh Sisodia Confer

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https://doi.org/10.1007/978-3-7908-2678-4recasting was performed earlier using the conventional method, ANNs which were used for electrical load prediction, have been found to possess certain limitations. As a result, researchers have turned towards alternative approaches, such as Machine Learning (ML) to enhance the forecasting accuracy,

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职业

,Development of a Hybrid Deep Learning Model for Car Crash Prediction Using Driver’s Behavioral Patter training, the LSTM had an accuracy value of 98.6%, the SAE had an accuracy value of 76.4%, and the SAE-LSTM had an accuracy value of 81.4%. The result shows that LSTM outperform the SAE and the hybrid techniques. Future studies of car crashes and how drivers’ behavior affects it are needed to exp

出汗

Voice-Based Email System for Visually Impaired Individuals,cantly enhance accessibility and usability for the visually impaired demographic, empowering them to engage with emails effortlessly. We want to use the latest technologies and design the system in a way that helps visually impaired people easily use emails. We aim to make it simple and efficient fo

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Multilayer Perceptron: Architecture Optimizationfor Classifying Anemia Patients, The computations find that among the configurations of MLP neural networks, used in the data analysis for classifying anemia patients, the best network configuration represented the data set obtained by applying Synthetic Minority Oversampling Technique (SMOTE) on the original input data set in whi

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Operational Excellence Deciphered Lessons from the Oracles of Order and Organization,t are important for addressing concerns of cost reduction, customer satisfaction, and efficiency. In order to provide a more impartial evaluation, these metrics give measurable indicators of operational excellence. The approach also emphasizes the value of the insights gained from the data and the p

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