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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A Cost-Effective Control System of the Biogas-Based Electrical Generator, and hydroelectricity. In order to supplement energy demand, renewable energy sources are playing crucial roles. Among those sources, biogas energy has great potential, especial in livestock farm, for its ability to convert waste into heat and electricity. In this work, a control system has been dev

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,An Application of Logistic Regression Model in the Student’s Academic Performance at HUST, Vietnam,a is collected from the results of the questionnaires and the actual students’ academic performance given by the School of Applied Mathematics and Informatics (SAMI) of HUST. Data analysis provides a precise estimate of 5 factors that make an impact on students’ learning results in the subject, incl

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,Soft Robotics-Fingered Hand Based on?Working Principle of?Asymmetric Soft?Actuator, with the different thickness and stiffness of two sides and is activated by the pneumatic actuation. Based on such design, four soft fingers were fabricated from the silicone rubber material by using the molding method and then were assembled to the connectors and base to complete the soft-fingered

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GIS and RS Application for Land Use Status Quo Mapping in 2020 and Land Use Change Assessing in Thugy has developed rapidly and has been applied in all areas of life. However, the application of informatic technology, especially digital map system for professional purposes in land management at the commune level in Vietnam, is still limited. Thu Dau Mot city has a total natural land area of 11,89

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Count the Number of Steel Bars Based on Deep Learning, are accelerating object detection methods. This work presents the end-to-end two-stage object detection method and the steel bars counting application. 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 dat

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,Hybrid SARIMA—GRU Model Based on?STL for?Forecasting Water Level in?Red River North Vietnam,er, has neither an water storage dam nor a hydroelectric dam. Because of this disadvantage, water level forecasting is critical for regulating agricultural water in Vietnam’s second-largest rice-producing region. We present a model to anticipate the water level of Red River water level in Viet Tri,