Dinesh – författare
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10 produkter
Biologically Inspired Networking and Sensing: Algorithms and Architectures
E-bok, 2011
3993 kr
Lägg i varukorg
Despite their widespread impact, computer networks that provide the foundation for the World Wide Web and Internet have many limitations. These networks are vulnerable to security threats, break easily, and have a limited ability to respond to changing conditions. Recent research on overcoming …
IoT and the Next Revolutions Automating the World
Av Dharm Singh, Sheng-Lung m. fl.
E-bok, 2019
4156 kr
Lägg i varukorg
Smart homes, smart cities, and wearable technologies are the growing applications of the internet of things (IoT). Ranging from healthcare tracking applications to smart watches and smart bands for personal safety, the IoT has turned out to be one of the most indispensable parts of our lives even …
Biologically Inspired Networking and Sensing: Algorithms and Architectures
E-bok, 2011
3906 kr
Lägg i varukorg
Despite their widespread impact, computer networks that provide the foundation for the World Wide Web and Internet have many limitations. These networks are vulnerable to security threats, break easily, and have a limited ability to respond to changing conditions. Recent research on overcoming …
Applications of Deep Learning and Big IoT on Personalized Healthcare Services
E-bok, 2020
4615 kr
Lägg i varukorg
Healthcare is an industry that has seen great advancements in personalized services through big data analytics. Despite the application of smart devices in the medical field, the mass volume of data that is being generated makes it challenging to correctly diagnose patients. This has led to the …
Deep Learning Applications and Intelligent Decision Making in Engineering
E-bok, 2020
3993 kr
Lägg i varukorg
Deep learning includes a subset of machine learning for processing the unsupervised data with artificial neural network functions. The major advantage of deep learning is to process big data analytics for better analysis and self-adaptive algorithms to handle more data. When applied to engineering, …
