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Edge and Mana are the only animals on Crescent Island who can talk, or so she thinks. When she meets an outcast named Jessop, Edge discovers that Mana has been keeping dangerous secrets. A story about ethics, empathy and friendship.
Knowledge of the density of the subsurface of a planet is crucial in determining its interior structure, and one can estimate the average bulk crustal density directly using the admittance between topography and gravity, which has been successfully used for the Moon and is being extended to Mars. The interpretation of gravity data is commonly done by computation of a gravity anomaly (GA) by correcting the raw data for a number of factors that impact the gravity field. Depending on the target science, different types of GA can be computed, the interpretation of which have been widely employed in geophysics to explore the interior of the Earth and other planets, through applications in airborne gravity, near-surface geophysics, regional geophysics, and planetary geophysics. Yet how to extract a great variety of information from GAs for applications in geophysics entails further investigation. Over the decades, remarkable progress has been made to extract information from GAs identified from data. For instance, a series of 3D inversion algorithms facilitates the extraction of the subsurface density distribution. With the improved processing based on dense gravity observations that yield high precision and high resolution GAs, more detailed geological information can be unveiled. When using the admittance between topography and gravity to estimate the crustal density, it is essential to identify what kinds of GAs to be used, such as Bouguer gravity or free-air gravity. Also, what appropriate approaches to scrutinize the applications of GAs in various case studies (e.g., calculating the geoid and estimating the elastic thickness) need to be decoded.
1. A Model for the North Atlantic.- 2. The Geology of the Bahama-Blake Plateau Region.- 3. The Continental Margin of Eastern North America, Florida to Newfoundland.- 4. The Northeastward Termination of the Appalachian Orogen.- 5. An Outline of the Geology of the Atlantic Coast of Greenland.- 6. The Scandinavian Caledonides.- 7. The Geology of the Southern Termination of the Caledonides.- 8. The Geology of the Western Approaches.- 9. The Geology and Sedimentation History of the Bay of Biscay.- 10. Geology of West Africa and Canary and Cape Verde Islands.- 11. Cenozoic to Recent Volcanism in and.
The three volume proceedings LNAI 11051 – 11053 constitutes the refereed proceedings of the European Conference on Machine Learning and Knowledge Discovery in Databases, ECML PKDD 2018, held in Dublin, Ireland, in September 2018. The total of 131 regular papers presented in part I and part II was carefully reviewed and selected from 535 submissions; there are 52 papers in the applied data science, nectar and demo track. The contributions were organized in topical sections named as follows: Part I: adversarial learning; anomaly and outlier detection; applications; classification; clustering and unsupervised learning; deep learningensemble methods; and evaluation. Part II: graphs; kernel methods; learning paradigms; matrix and tensor analysis; online and active learning; pattern and sequence mining; probabilistic models and statistical methods; recommender systems; and transfer learning. Part III: ADS data science applications; ADS e-commerce; ADS engineering and design; ADS financial and security; ADS health; ADS sensing and positioning; nectar track; and demo track.
This book includes high quality research papers presented at the International Conference on Communication, Computing and Electronics Systems 2021, held at the PPG Institute of Technology, Coimbatore, India, on 28-29 October 2021. The volume focuses mainly on the research trends in cloud computing, mobile computing, artificial intelligence and advanced electronics systems. The topics covered are automation, VLSI, embedded systems, optical communication, RF communication, microwave engineering, artificial intelligence, deep learning, pattern recognition, communication networks, Internet of Things, cyber-physical systems, and healthcare informatics.
There is increasing pressure to protect computer networks against unauthorized intrusion, and some work in this area is concerned with engineering systems that are robust to attack. However, no system can be made invulnerable. Data Analysis for Network Cyber-Security focuses on monitoring and analyzing network traffic data, with the intention of preventing, or quickly identifying, malicious activity.Such work involves the intersection of statistics, data mining and computer science. Fundamentally, network traffic is relational, embodying a link between devices. As such, graph analysis approaches are a natural candidate. However, such methods do not scale well to the demands of real problems, and the critical aspect of the timing of communications events is not accounted for in these approaches.This book gathers papers from leading researchers to provide both background to the problems and a description of cutting-edge methodology. The contributors are from diverse institutions and areas of expertise and were brought together at a workshop held at the University of Bristol in March 2013 to address the issues of network cyber security. The workshop was supported by the Heilbronn Institute for Mathematical Research.