Advances in Data Science and Computing by Suman Ghosal (.PDF)
File Size: 44 MB
Advances in Data Science and Computing Technology: Methodology and Applications by Suman Ghosal, Amitava Choudhury, Vikram Kumar Saxena, Arindam Biswas, Prasenjit Chatterjee
Requirements: .PDF reader, 44 MB
Overview: This volume helps to address the genuine 21st century need for advances in data science and computing technology. It provides an abundance of new research and studies on progressive and innovative technologies, including artificial intelligence, communication systems, cyber security applications, data analytics, Internet of Things (IoT), machine learning, power systems, VLSI, embedded systems, and much more. The book presents a variety of interesting and important aspects of data science and computing technologies and methodologies in a wide range of applications, including deep learning, DNA cryptography, classy fuzzy MPPT controller, driving assistance, and safety systems. Novel algorithms and their applications for solving cutting-edge computational and data science problems are included also for an interdisciplinary research perspective. The book addresses recent applications of deep learning and ANN paradigms, the role and impact of big data in the e-commerce and retail sectors, algorithms for load balancing in cloud computing, advances in embedded system based applications, optimization techniques using a MATLAB platform, and techniques for improving information and network security.
Genre: Non-Fiction > Tech & Devices
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