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Finishing honing process is one of the most efficient machining processes that can improve the surface quality of the product, as the primary goal of manufacturing companies is to achieve the predefined quality of the product. This paper introduces an artificial intelligence-based neural network approach with two hidden layers of eight and seven neurons, respectively, as an alternative to all the common methods for creating a predictive model to find the correct or optimal values of process parameters.
Source link: https://doi.org/10.1007/978-981-19-2188-9_8
A product of the fusion and clash of science, technology, and humanity in the current socioeconomic growth is a website that offers a brand new translation service. This paper explores the effect of artificial intelligence algorithms based on Shaanxi literature on translation and media in order to clarify the algorithm's enlightenment. Despite knowing the current state of artificial intelligence algorithms, as well as current academic research and current political situations, this paper discusses the algorithm's impact in both context and case.
Source link: https://doi.org/10.1007/978-981-19-2768-3_21
Society is also required to adapt to a new style of work and lifestyle as a result of all the changes and adaptations of the industrial sector's shifts and adaptations that have arisen to a more digital and connected environment. Because the rate of this change leads society to rethink the man-machine interaction, as well as the effects of the new forms of work that appear every day, the challenge of evaluating the social implications of Artificial Intelligence is evident. From this perspective, this paper sought to provide a systematic review of the literature and assess qualitatively the key social implications related to the use of artificial intelligence, as well as the key mitigation steps, using the Web Of Science and Scopus as a database.
Source link: https://doi.org/10.1007/978-3-031-04435-9_54
India was one of the least developed nations in technology and innovation in 1947, when India gained its independence from India. The analytical essay reveals the research questions an Indian scientific community and the government of India investigate in the health care system and find out if the Indian scientific community is prepared to use artificial intelligence techniques to combat pandemic related problems in the future.
Source link: https://doi.org/10.1007/978-981-19-2538-2_28
The paper intends to compile reviews based on new study that has been done in the recent past about the use of Artificial Intelligence in predicting crime and prevention for the same. Is the latest AI technologies robust enough to predict crime? The main question the survey seeks to answer is: Is the current AI technologies capable enough to detect crime? According to the current report, the latest technological intelligence, which is used by many crime prevention agencies, can detect and prevent crime. Machine Learning and Deep Learning are two of the two most common AIs. These are the most common AI methods used in Crime detection and prevention. However, further study is needed in the area of AI. A large number of data sets is required to achieve higher rates of accuracy and precision in crime prediction, and a thorough and comprehensive investigation must be conducted to ensure improved levels of efficiency and accuracy.
Source link: https://doi.org/10.1007/978-981-19-0108-9_27
Despite this, few researchers have empirically evaluated the value and impact of Data Mining and Artificial Intelligence on the supply chain management process. Through the use of Data Mining and artificial intelligence technologies, the study found a major effect on various manufacturing processes and green supply chain management. The research also examined the increasing impact of environmental performance on environmental convergence and green supply chain cooperation. The findings show that green student technologies can play a moderating role in links between large-scale data mining and artificial intelligence, as well as green supply chain cooperation.
Source link: https://doi.org/10.1007/978-981-19-0108-9_51
Supply Chain Management with the use of Artificial Intelligence technologies has received a lot of attention in this context. Several research studies have been published in this area, but no studies have looked at the research findings and challenges of AI applications in logistics and supply chain management; however, no studies have explored the application trends and limitations of AI solutions in logistics and supply chain management. The main purpose of this research was to provide a theoretical overview of the fields where AI integrates with supply chain management in order to promote further research and development.
Source link: https://doi.org/10.1007/978-3-031-08954-1_106
Judging whether the accident vehicle is speeding is a critical step in the process of accident reconstruction. The practice set is used for artificial intelligence machine learning, and the test set is used as an actual case to verify the model's overspeed prediction's accuracy. The accuracy of the decision tree model in forecasting vehicle overspeed is 77%, according to the results. This paper explores the use of the decision tree model in the automated detection of vehicle speed in road traffic accidents, providing a basis for peers to conduct in-depth study.
Source link: https://doi.org/10.1007/978-981-19-4786-5_44
However, several aspects influence the process of selecting correct process parameters in 3d printing. So, the use of artificial intelligence in 3d printing has started to solve this issue at various stages of the 3d printing process. The authors' scientometric study of artificial intelligence in 3d printing is included in this book.
Source link: https://doi.org/10.1007/978-981-19-2538-2_39
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