Titlebook: Machine Learning and Mechanics Based Soft Computing Applications; Thi Dieu Linh Nguyen,Joan Lu Book 2023 The Editor(s) (if applicable) and

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,Hybrid SARIMA—GRU Model Based on STL for Forecasting Water Level in Red River North Vietnam,which is near Ha Noi, in this study. The new model is known as the SARIMA-GRU hybrid model, which can fully exploit seasonal patterns in the data. In comparison to the single models SARIMA and GRU, as well as the model ARIMA-RNN, published by Xu et al. in 2019, the new model has produced better results.

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Parallel, Distributed Model Checking of Composite Web Services with Integrated Choreography and Orcgency (VTA) protocol and Fresh Market Update (FMU) service and illustrate the model-checking procedure on these protocols to verify the synchronizability and reachability properties of the protocol in an efficient manner, with parallel, distributed algorithm incurring polynomial time complexity.

Instinctive

Book 2023al intelligence, machine learning, and mechanics, a mix of mechanical computational engineering work.  The current computing era has a huge market/potential for machine learning, robotics, and soft computing techniques and their applications.  With this in view, the book shares latest research and c

Interstellar

Count the Number of Steel Bars Based on Deep Learning,n. In the first step, we collect data and labeling. Second, data is trained and fine-tuned by the Faster-RCNN FPN model. Finally, predict the test data from the trained model. Based on the mean Average Precision metric, the steel bars detection result is 67%. The experience shows that this approach is feasible for counting the steel bars.

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Book 2023ential for machine learning, robotics, and soft computing techniques and their applications.  With this in view, the book shares latest research and cutting-edge applications useful for professionals and researchers in these areas..​

Projection

,Context-Based and Collaboration-Based Product Recommendation Approaches for a Clothes Online Sale Sctorization (NMF), and matrix factorization (MF) for the comparison. The method is evaluated on Amazon women’s clothing, including 50,046 samples and six features. We proposed a content-based memory-based method using Word2vec + IDF and a collaboration-based model-based method using the SVD algorith

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