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Journal du palais
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Computational Chemistry And Chemical Engineering - Proceedings Of The Third Unam-cray Supercomputing Confrence
This book provides a wide-ranging and up-to-date description of state-of-the-art computational methodologies in chemistry and chemical engineering. It displays a representative mix of topics on the computation and modeling of chemical systems of all sizes, from the very small (atomic) to the very large (industrial). The book constitutes an excellent overview for graduate students as well as a critical update for researchers.
Proceedings of 3rd International Conference and Exhibition on Automobile Engineering 2017
September 28-29, 2017 Berlin, Germany Key Topics : Automotive Engine, Automotive Vehicles and Design Technology, Fuel Economy, Alternate Energy Sources, Automotive Electronics, Vehicular Automation and Automatic Driving, Tire Science and Technology, Braking System, Automotive Safety, Automotive Cyber Security, Automotive Testing, Automotive Industry, Noise, Vibration and Harshness (NVH) in Automobiles, Automotive Ergonomics, Automobile Pollution and Control Management, Emerging Trends in Automotive Engineering,
Machine Learning and Knowledge Discovery in Databases
The three volume proceedings LNAI 10534 – 10536 constitutes the refereed proceedings of the European Conference on Machine Learning and Knowledge Discovery in Databases, ECML PKDD 2017, held in Skopje, Macedonia, in September 2017. The total of 101 regular papers presented in part I and part II was carefully reviewed and selected from 364 submissions; there are 47 papers in the applied data science, nectar and demo track. The contributions were organized in topical sections named as follows: Part I: anomaly detection; computer vision; ensembles and meta learning; feature selection and extraction; kernel methods; learning and optimization, matrix and tensor factorization; networks and graphs; neural networks and deep learning. Part II: pattern and sequence mining; privacy and security; probabilistic models and methods; recommendation; regression; reinforcement learning; subgroup discovery; time series and streams; transfer and multi-task learning; unsupervised and semisupervised learning. Part III: applied data science track; nectar track; and demo track.
System Innovation for a World in Transition
System Innovation for a World in Transition: Applied System Innovation IX, includes the contributions presented at the IEEE 9th International Conference on Applied System Innovation (ICASI 2023, Chiba, Japan, 21-25 April 2023). The conference received more than 600 submitted papers from 12 different countries, whereby roughly one quarter of these papers was selected to present at ICASI 2023. The book aims to provide an integrated communication platform for researchers from a wide range of topics including information technology, communication science, applied mathematics, computer science, advanced material science, and engineering. Hopefully, it will enhance interdisciplinary collaborations between science and engineering technologists in the fields of academics and related industries.
