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Diversity-Driven Evolutionary Algorithms For Solving Engineering Problems explores optimization algorithms and their applications across diverse engineering domains.
The development of novel techniques that can easily extract information from the joint observations of measurements coming from many modalities is necessary to realise the full potential of futuristic information processing applications in communication industries.
The development of novel techniques that can easily extract information from the joint observations of measurements coming from many modalities is necessary to realise the full potential of futuristic information processing applications in communication industries.
Bias and Beyond is anchored in a commitment to Diversity, Equity, and Inclusion (DEI), not only as aspirational values but as methodological imperatives that must inform every aspect of data practice.
Bias and Beyond is anchored in a commitment to Diversity, Equity, and Inclusion (DEI), not only as aspirational values but as methodological imperatives that must inform every aspect of data practice.
An accessible introductory to advanced text focusing on integrating scientific computing methods and algorithms with modern data analysis techniques, including basic applications of machine learning in the sciences and engineering.
Immersive Sound Volume II: The Design and Practice of Binaural and Multi-Channel Experiences is a collection... Læs mere
Immersive Sound Volume II: The Design and Practice of Binaural and Multi-Channel Experiences is a collection... Læs mere
This Element introduces computability theory and its use in explaining empirical phenomena. Aimed at advanced undergraduates and graduates in philosophy, it... Læs mere
This Element introduces computability theory and its use in explaining empirical phenomena. Aimed at advanced undergraduates and graduates in philosophy, it... Læs mere