Titlebook: Soft Computing Approaches in Chemistry; Hugh M. Cartwright,Les M. Sztandera Book 2003 Springer-Verlag Berlin Heidelberg 2003 Base.Chemical

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a broad-spectrum view of cybersecurity, providing insights from fundamental concepts to advanced technologies...Beginning with the foundational understanding of the ever-evolving threat landscape, the book methodically introduces many cyber threats. From familiar challenges like malware and phishin

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Valerie J. Gillet a broad-spectrum view of cybersecurity, providing insights from fundamental concepts to advanced technologies...Beginning with the foundational understanding of the ever-evolving threat landscape, the book methodically introduces many cyber threats. From familiar challenges like malware and phishin

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Hugh M. Cartwright,David Issottf the hole — or no-hole — environment was done electromechanically by brushes or pins that either made contact through the hole or failed to do so. This was a slow process, and many boxes of cards were necessary for the storage of data. These were prone to many problems, of damp, physical damage or

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ircuits using state diagrams, Boolean algebra, and Karnaugh .Discover the essential knowledge and practical skills to excel in the dynamic field of digital electronics with "Mastering Digital Electronics." From the fundamentals of diode resistor logic to unraveling the intricacies of TTL and CMOS lo

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Book 2003raced back to Lotfi Zadeh‘s work on soft data analysis [1] published in 1981. ‘Soft Computing‘ itself became fully established about 10 years later, when the Berkeley Initiative in Soft Computing (SISC), an industrial liaison program, was put in place at the University of California - Berkeley. Soft

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Hybrid modeling of kinetics for methanol synthesis,re applied to modeling of the liquid-phase methanol synthesis. Analytical, experimental and hybrid approaches are applied and results demonstrate that a hybrid modeling approach, exploiting available analytical knowledge and experimental data, can considerably outperform a purely analytical approach.

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A Novel Approach to QSPR/QSAR Based on Neural Networks for Structures,ucture, can adaptively capture significant topological aspects and chemical fnnctionalities for each specific class of the molecules, just on the basis of the association between the molecular morphology and the target property.