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Environmental Issues of Deep-Sea Mining

This volume discusses environmental issues associated with deep-sea mining, with an emphasis on potential impacts, their consequences and;

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Deep Mining Challenges

The International Mining Forum is a recurring event, hosted by the University of Science and Technology in Cracow, Poland, bringing;

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Deep Learning and Convolutional Neural Networks for Medical Image Computing

in medical image computing, and large-scale radiology database mining. A particular focus is placed on the application of convolutional neural;

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Environmental Law and Governance in the Pacific

This volume examines environmental law and governance in the Pacific, focussing on the emerging challenges this region faces. Fourteen;

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Regulating Deep Sea Mining

This book provides a comprehensive analysis and explanation of the legal regime with regard to deep sea mining. The wide array;

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Deep Learning and IoT in Healthcare Systems

This new volume discusses the applications and challenges of deep learning and the internet of things for applications in healthcare. It;

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Deep-Level Gold and Platinum Mining

underground mining environment to optimise mineral extraction and to contribute to safer mining. The effective application of these technologies can;

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Data Mining

Data Mining: Concepts and Techniques, Fourth Edition introduces concepts, principles, and methods for mining patterns, knowledge;

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Deep Learning in Mining of Visual Content

This book provides the reader with the fundamental knowledge in the area of deep learning with application to visual content mining. The;

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International Law and Corporate Actors in Deep Seabed Mining

legal challenges which this increasing corporate activity will raise over the coming years, including in relation to matters of common;

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Domain Driven Data Mining

outputs. This monograph, Domain Driven Data Mining, is motivated by the real-world challenges to and complexities of the current KDD methodologies;

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Next Generation of Data Mining

(NGDM 07), Next Generation of Data Mining explores emerging technologies and applications in data mining as well as potential challenges faced;

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Next Generation of Data Mining

(NGDM 07), Next Generation of Data Mining explores emerging technologies and applications in data mining as well as potential challenges faced;

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Deep Rock Mechanics: From Research to Engineering

extraction of resources through mining and greenhouse mitigation. Deep Rock Mechanics: From Research to Engineering is a collection of papers on the;

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Data Mining

, scholars, professionals, students, and academicians. Selected topics include: Real-World Data Mining Applications, Challenges, and;

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Advances in Knowledge Discovery and Data Mining

in Knowledge Discovery and Data Mining, PAKDD 2017, held in Jeju, South Korea, in May 2017. The 129 full papers were carefully reviewed and selected;

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Advances in Knowledge Discovery and Data Mining

in Knowledge Discovery and Data Mining, PAKDD 2017, held in Jeju, South Korea, in May 2017. The 129 full papers were carefully reviewed and selected;

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Computational Intelligence in Pattern Recognition

neural network systems, image processing, combinatorial pattern matching, social network analysis, audio and video data analysis, data mining;

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Data Mining and Big Data

This book constitutes the refereed proceedings of the Second International Conference on Data Mining and Big Data, DMBD 2017, held;

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Deep Learning for Personalized Healthcare Services

, application and amalgamation of deep learning with several other computing technologies, such as machine learning, data mining, and natural language;

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Mining in the New Millennium - Challenges and Opportunities

This text concentrates mainly on the Polish mining industry. It involves mining of a significant quantities of lignite, coal, copper;

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Modern Management in the Global Mining Industry

The mining industry faces distinct challenges. Mines have long lives, companies have little control over the prices at which they sell;

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Security in IoT Social Networks

of modeling, searching, and mining for corresponding research issues, as well as designing and analyzing models for resolving such challenges. The;

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Mining in the Old West

The 1848 discovery of gold at Sutter's Mill in northern California set off a mining explosion that greatly hastened the development of the;

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Biological Data Mining

. The first section of the book discusses challenges and opportunities in analyzing and mining biological sequences and structures to gain;

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Biological Data Mining

. The first section of the book discusses challenges and opportunities in analyzing and mining biological sequences and structures to gain;

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