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Machine Learning for Cyber Security
The three-volume proceedings set LNCS 13655,13656 and 13657 constitutes the refereedproceedings of the 4th International Conference on Machine Learning for Cyber Security, ML4CS 2022, which taking place during December 2–4, 2022, held in Guangzhou, China. The 100 full papers and 46 short papers were included in these proceedings were carefully reviewed and selected from 367 submissions.
The Global Oil Conspiracy
Driven by her thirst to avenge the death of her lover, Sarah willingly thrusts herself into the maw of evil. Her guiding beacon is the need to satisfy her craving for retribution.
Machine Learning for Subsurface Characterization
Machine Learning for Subsurface Characterization develops and applies neural networks, random forests, deep learning, unsupervised learning, Bayesian frameworks, and clustering methods for subsurface characterization. Machine learning (ML) focusses on developing computational methods/algorithms that learn to recognize patterns and quantify functional relationships by processing large data sets, also referred to as the "big data." Deep learning (DL) is a subset of machine learning that processes "big data" to construct numerous layers of abstraction to accomplish the learning task. DL methods do not require the manual step of extracting/engineering features; however, it requires us to provide...
China's Management Revolution
China is facing many new business challenges as a result of rapid growth and a changing world economy. How can managers develope the skills they need to cope with these challenges in a changing world?
'Hamlet' and World Cinema
Reveals a rich cinematic history, discussing Hamlet films from Africa, Asia, Europe, Latin America and the Middle East.
冀中油气区第三纪地层及微体古生物群
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