Excavators, wheel loaders, pavers or concrete mixers – construction machinery has to combine maximum performance and precision. Moreover, with rising energy costs, high efficiency levels are imperative and emission standards need to be met. This requires highperformance drive and control systems. Faced with all these challenges, the construction machinery industry can rely on Bosch
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Efficient Learning Machines explores the major topics of machine learning, including knowledge discovery, classifications, genetic algorithms, neural networking, kernel methods, and biologicallyinspired techniques. Mariette Awad and Rul Khanna''s synthetic approach weaves together the theoretical exposition, design principles, and practical applications of efficient machine learning. Their
Efficient and Robust Automated Machine Learning. Part of: Advances in Neural Information Processing Systems 28 (NIPS 2015) A note about reviews: "heavy" review comments were provided by reviewers in the program committee as part of the evaluation process for NIPS 2015, along with posted responses during the author feedback period. Numerical scores from both
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Field efficiency accounts for failure to utilize the theoretical operating width of the machine; time lost because of operator capability and habits and operating policy; and field characteristics. Travel to and from a field, major repairs, preventive maintenance, and daily service activities are not included in field time or field efficiency. Field efficiency is not a constant for a
Efficient Learning Machines explores the major topics of machine learning, including knowledge discovery, classifications, genetic algorithms, neural networking, kernel methods, and biologicallyinspired techniques. Mariette Awad and Rul Khanna''s synthetic approach weaves together the theoretical exposition, design principles, and practical applications of efficient machine
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This keynote paper provides an overview of current machine and processrelated measures to improve the energy efficiency of metal cutting machine tools. Based on an analysis of the energy requirements of machine tool components, design measures to reduce the energy demand of main and support units are introduced. Next, methods for an energy efficient operation of machine
Die Allmende (in der Schweiz Allmend, Allmeind oder Allmein), auch die Gemeindeflur oder das Gemeindegut, ist eine Form gemeinschaftlichen Eigentums. Als landwirtschaftlicher Begriff bezeichnet Allmende oder „Gemeine Mark" Gemeinschafts oder Genossenschaftsbesitz abseits der parzellierten (in Fluren aufgeteilten) landwirtschaftlichen Nutzfläche. Allmenden sind heute noch im Alpenraum
Definition, Rechtschreibung, Synonyme und Grammatik von ''Allmende'' auf Duden online nachschlagen. Wörterbuch der deutschen Sprache.
This keynote paper provides an overview of current machine and processrelated measures to improve the energy efficiency of metal cutting machine tools. Based on an analysis of the energy requirements of machine tool components, design measures to reduce the energy demand of main and support units are introduced. Next, methods for an energy efficient operation of machine tools are reviewed
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Machine Efficiency Machine efficiency can be measured in terms of energy efficiency or the productive results of equipment. The latter approach uses the value of outputs and cost of inputs. In a month, a drilling machine takes inputs such as labor, electricity, materials and depreciation on the machine itself that cost 50,000 dollars. The machine produces parts with a value of 60,000 dollars
It brings greater machining capacity and better machining performance to a more robust machine base. With the large swivel range from 65° to + 120° and the ability to load heavy parts up to 450 kg onto the tilting, swiveling table, these solutions U allows users to manufacture a wider range of parts and tools than any other machine currently on the market. It is based on a stiff and stable
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Efficient and Robust Automated Machine Learning Matthias Feurer Klein Katharina Eggensperger Jost Tobias Springenberg Manuel Blum Frank Hutter Department of Computer Science University of Freiburg, Germany ffeurerm,kleinaa,eggenspk,springj,mblum,fhg Abstract The success of machine learning in a broad range of applications has led to an evergrowing demand for machine
The high speed milling machines manufactured in Switzerland by GF Machining Solutions are 10 times faster than conventional milling in term of cutting speed. Greater accuracy and a better surface finish are also achieved. This means that even tempered materials can be machined to a condition where they are largely ready to use. One essential advantage of HSM is that with
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It brings greater machining capacity and better machining performance to a more robust machine base. With the large swivel range from 65° to + 120° and the ability to load heavy parts up to 450 kg onto the tilting, swiveling table, these solutions U allows users to manufacture a wider range of parts and tools than any other machine currently on the market. It is based on a stiff and
Machine Efficiency Machine efficiency can be measured in terms of energy efficiency or the productive results of equipment. The latter approach uses the value of outputs and cost of inputs. In a month, a drilling machine takes inputs such as labor, electricity, materials and depreciation on the machine itself that cost 50,000 dollars. The machine produces parts with a value of
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