Betty Shefts Chang

Kun Zhang

Spoken Tibetan Texts

Shu Jiang

Jijun Li

Dadong Liu

Jingqiang Tan

Reservoir Formation Conditions and Enrichment Mechanisms of Shale Oil and Gas

Ahmed El-Hashash

Fonny Dameaty Hutagalung

Ahmed Said Ghonim

This is an open access book. As a leading role in the global megatrend of scientific innovation, China has been creating a more and more open environment for scientific innovation, increasing the depth and breadth of academic cooperation, and building a community of innovation that benefits all. These endeavors have made new contribution to globalization and creating a community of shared future. To adapt to this changing world and China's fast development in this new area, the 2nd International Conference on Internet, Education and Information Technology (IEIT 2022) is to be held in April 15-17, 2022. This conference takes “bringing together global wisdom in scientific innovation to promote high-quality development" as the theme and focuses on research fields including information technology, education, big data, and Internet. This conference aims to expand channels of international academic exchange in science and technology, build a sharing platform of academic resources, promote scientific innovation on the global scale, improve academic cooperation between China and the outside world. It also aims to encourage exchange of information on research frontiers in different fields, connect the most advanced academic resources in China and abroad, turn research results into industrial solutions, bring together talents, technologies and capital to boost development.

Proceedings of the 2nd International Conference on Internet, Education and Information Technology (IEIT 2022)

Deyun Zhou

Qian Pan

Gyan Chhipi-Shrestha

Xiaoyang Li

Kasun Hewage

Rehan Sadiq

Dempster-Shafer evidence theory has been widely used in various applications. However, to solve the problem of counter-intuitive outcomes by using classical Dempster-Shafer combination rule is still an open issue while fusing the conflicting evidences.

A new weighting factor in combining belief function

Kun Zhang

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