Description

Book Synopsis

The volume is a collection of best selected research papers presented at International Conference on Advances in Data-driven Computing and Intelligent Systems (ADCIS 2022) held at BITS Pilani, K K Birla Goa Campus, Goa, India during 23 – 25 September 2022. It includes state-of-the art research work in the cutting-edge technologies in the field of data science and intelligent systems. The book presents data-driven computing; it is a new field of computational analysis which uses provided data to directly produce predictive outcomes. The book will be useful for academicians, research scholars, and industry persons.



Table of Contents
Scenario Based Neural Network Model for Integrated Lighting Schemes in Residential Buildings.- Electrical Muscle Stimulation Models Identification Based on Hammerstein Structure and Gravitational Search Algorithm.- Experimental analysis of “A novel swarm intelligence optimization approach: sparrow search algorithm”.- Solving FJSP using Multi-agent system with GA.- A Comparative Analysis on Optimal Power Allocation and Pairing of User in Downlink NOMA System.

Advances in Data-driven Computing and Intelligent

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    A Paperback / softback by Swagatam Das, Snehanshu Saha, Carlos A. Coello Coello

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      Publisher: Springer Verlag, Singapore
      Publication Date: Publication Date: 22/06/2023
      ISBN13: 9789819909803, 978-9819909803
      ISBN10: 9819909805
      Also in:
      Artificial intelligence (AI) Digital signal processing (DSP) Electronics engineering

      Description

      Book Synopsis

      The volume is a collection of best selected research papers presented at International Conference on Advances in Data-driven Computing and Intelligent Systems (ADCIS 2022) held at BITS Pilani, K K Birla Goa Campus, Goa, India during 23 – 25 September 2022. It includes state-of-the art research work in the cutting-edge technologies in the field of data science and intelligent systems. The book presents data-driven computing; it is a new field of computational analysis which uses provided data to directly produce predictive outcomes. The book will be useful for academicians, research scholars, and industry persons.



      Table of Contents
      Scenario Based Neural Network Model for Integrated Lighting Schemes in Residential Buildings.- Electrical Muscle Stimulation Models Identification Based on Hammerstein Structure and Gravitational Search Algorithm.- Experimental analysis of “A novel swarm intelligence optimization approach: sparrow search algorithm”.- Solving FJSP using Multi-agent system with GA.- A Comparative Analysis on Optimal Power Allocation and Pairing of User in Downlink NOMA System.

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