Recent Trends in Computational Intelligence Enabled Research

The field of computational intelligence has grown tremendously over that past five years, thanks to evolving soft computing and artificial intelligent methodologies, tools and techniques for envisaging the essence of intelligence embedded in real life observations. Consequently, scientists have been able to explain and understand real life processes and practices which previously often remain unexplored by virtue of their underlying imprecision, uncertainties and redundancies, and the unavailability of appropriate methods for describing the incompleteness and vagueness of information represented. With the advent of the field of computational intelligence, researchers are now able to explore and unearth the intelligence, otherwise insurmountable, embedded in the systems under consideration. Computational Intelligence is now not limited to only specific computational fields, it has made inroads in signal processing, smart manufacturing, predictive control, robot navigation, smart cities, and sensor design to name a few. Recent Trends in Computational Intelligence Enabled Research: Theoretical Foundations and Applications explores the use of this computational paradigm across a wide range of applied domains which handle meaningful information. Chapters investigate a broad spectrum of the applications of computational intelligence across different platforms and disciplines, expanding our knowledge base of various research initiatives in this direction. This volume aims to bring together researchers, engineers, developers and practitioners from academia and industry working in all major areas and interdisciplinary areas of computational intelligence, communication systems, computer networks, and soft computing. Provides insights into the theory, algorithms, implementation, and application of computational intelligence techniques Covers a wide range of applications of deep learning across various domains which are researching the applications of computational intelligence Investigates novel techniques and reviews the state-of-the-art in the areas of machine learning, computer vision, soft computing techniques

Produk Detail:

  • Author : Siddhartha Bhattacharyya
  • Publisher : Academic Press
  • Pages : 418 pages
  • ISBN : 0323851797
  • Rating : 4/5 from 21 reviews
CLICK HERE TO GET THIS BOOKRecent Trends in Computational Intelligence Enabled Research

Recent Trends in Computational Intelligence Enabled Research

Recent Trends in Computational Intelligence Enabled Research
  • Author : Siddhartha Bhattacharyya,Paramartha Dutta,Debabrata Samanta,Anirban Mukherjee,Indrajit Pan
  • Publisher : Academic Press
  • Release : 31 July 2021
GET THIS BOOKRecent Trends in Computational Intelligence Enabled Research

The field of computational intelligence has grown tremendously over that past five years, thanks to evolving soft computing and artificial intelligent methodologies, tools and techniques for envisaging the essence of intelligence embedded in real life observations. Consequently, scientists have been able to explain and understand real life processes and practices which previously often remain unexplored by virtue of their underlying imprecision, uncertainties and redundancies, and the unavailability of appropriate methods for describing the incompleteness and vagueness of information represented. With

Computationally Intensive Statistics for Intelligent IoT

Computationally Intensive Statistics for Intelligent IoT
  • Author : Debabrata Samanta,Amit Banerjee
  • Publisher : Springer Nature
  • Release : 03 November 2021
GET THIS BOOKComputationally Intensive Statistics for Intelligent IoT

The book covers computational statistics, its methodologies and applications for IoT device. It includes the details in the areas of computational arithmetic and its influence on computational statistics, numerical algorithms in statistical application software, basics of computer systems, statistical techniques, linear algebra and its role in optimization techniques, evolution of optimization techniques, optimal utilization of computer resources, and statistical graphics role in data analysis. It also explores computational inferencing and computer model's role in design of experiments, Bayesian analysis, survival

Applications of Machine intelligence in Engineering

Applications of Machine intelligence in Engineering
  • Author : Jyotsna Kumar Mandal,Sanjay Misra,Jyoti Sekhar Banerjee,Somen Nayak
  • Publisher : CRC Press
  • Release : 22 April 2022
GET THIS BOOKApplications of Machine intelligence in Engineering

The Global Conference on Artificial Intelligence and Applications (GCAIA 2021) provides a prominent venue for researchers, engineers, entrepreneurs, and scholar students to share their research ideas in the area of AI. Academic researchers would reveal the results and conclusions of laboratory based investigations via the GCAIA 21 platform, which bridges the gap between academia, industry, and government ethics. The GCAIA 21 platform will also bring together regional and worldwide issues to explore current advancements in contemporary Computation Intelligence. This Conference Proceedings volume contains

Computational Intelligence Techniques for Combating COVID-19

Computational Intelligence Techniques for Combating COVID-19
  • Author : Sandeep Kautish,Sheng-Lung Peng,Ahmed J. Obaid
  • Publisher : Springer Nature
  • Release : 04 July 2022
GET THIS BOOKComputational Intelligence Techniques for Combating COVID-19

This book presents the latest cutting edge research, theoretical methods, and novel applications in the field of computational intelligence and computational biological approaches that are aiming to combat COVID-19. The book gives the technological key drivers behind using AI to find drugs that target the virus, shedding light on the structure of COVID-19, detecting the outbreak and spread of new diseases, spotting signs of a COVID-19 infection in medical images, monitoring how the virus and lockdown is affecting mental health,

Data Science for COVID-19 Volume 1

Data Science for COVID-19 Volume 1
  • Author : Utku Kose,Deepak Gupta,Victor Hugo Costa de Albuquerque,Ashish Khanna
  • Publisher : Academic Press
  • Release : 20 May 2021
GET THIS BOOKData Science for COVID-19 Volume 1

Data Science for COVID-19 presents leading-edge research on data science techniques for the detection, mitigation, treatment and elimination of COVID-19. Sections provide an introduction to data science for COVID-19 research, considering past and future pandemics, as well as related Coronavirus variations. Other chapters cover a wide range of Data Science applications concerning COVID-19 research, including Image Analysis and Data Processing, Geoprocessing and tracking, Predictive Systems, Design Cognition, mobile technology, and telemedicine solutions. The book then covers Artificial Intelligence-based solutions, innovative

Intelligence Enabled Research

Intelligence Enabled Research
  • Author : Siddhartha Bhattacharyya,Paramartha Dutta,Kakali Datta
  • Publisher : Springer Nature
  • Release : 12 December 2020
GET THIS BOOKIntelligence Enabled Research

This book gathers extended versions of papers presented at DoSIER 2020 (the Second Doctoral Symposium on Intelligence Enabled Research, held at Visva-Bharati University, Santiniketan, West Bengal, India, during 12–13 August 2020). The papers address the rapidly expanding research area of computational intelligence, which, no longer limited to specific computational fields, has since made inroads in signal processing, smart manufacturing, predictive control, robot navigation, smart cities, and sensor design, to name but a few. Presenting chapters written by experts active in these areas, the

Recent Trends in Computational Intelligence

Recent Trends in Computational Intelligence
  • Author : Ali Sadollah,Tilendra Sinha
  • Publisher : BoD – Books on Demand
  • Release : 06 May 2020
GET THIS BOOKRecent Trends in Computational Intelligence

Traditional models struggle to cope with complexity, noise, and the existence of a changing environment, while Computational Intelligence (CI) offers solutions to complicated problems as well as reverse problems. The main feature of CI is adaptability, spanning the fields of machine learning and computational neuroscience. CI also comprises biologically-inspired technologies such as the intellect of swarm as part of evolutionary computation and encompassing wider areas such as image processing, data collection, and natural language processing. This book aims to discuss

Proceedings of Research and Applications in Artificial Intelligence

Proceedings of Research and Applications in Artificial Intelligence
  • Author : Indrajit Pan,Anirban Mukherjee,Vincenzo Piuri
  • Publisher : Springer Nature
  • Release : 10 June 2021
GET THIS BOOKProceedings of Research and Applications in Artificial Intelligence

This book discusses the recent research trends and upcoming applications based on artificial intelligence. It includes best selected research papers presented at the International Conference on Research and Applications in Artificial Intelligence (RAAI 2020), organized by Department of Information Technology, RCC Institute of Information technology, Kolkata, West Bengal, India during 19 – 20, December, 2020. Many versatile fields of artificial intelligence are categorically addressed through different chapters of this book. The book is a valuable resource and reference for researchers, instructors, students, scientists, engineers, managers

Recent Trends in Signal and Image Processing

Recent Trends in Signal and Image Processing
  • Author : Siddhartha Bhattacharyya,Leo Mršić,Maja Brkljačić,Joseph Varghese Kureethara,Mario Koeppen
  • Publisher : Springer Nature
  • Release : 01 April 2021
GET THIS BOOKRecent Trends in Signal and Image Processing

This book gathers selected papers presented at the Third International Symposium on Signal and Image Processing (ISSIP 2020), organized by the Department of Information Technology, RCC Institute of Information Technology, Kolkata, during March 18–19, 2020. It presents fascinating, state-of-the-art research findings in the field of signal and image processing. It includes conference papers covering a wide range of signal processing applications involving filtering, encoding, classification, segmentation, clustering, feature extraction, denoising, watermarking, object recognition, reconstruction and fractal analysis. It addresses various types of signals,

Recent Trends and Advances in Artificial Intelligence and Internet of Things

Recent Trends and Advances in Artificial Intelligence and Internet of Things
  • Author : Valentina E. Balas,Raghvendra Kumar,Rajshree Srivastava
  • Publisher : Springer Nature
  • Release : 19 November 2019
GET THIS BOOKRecent Trends and Advances in Artificial Intelligence and Internet of Things

This book covers all the emerging trends in artificial intelligence (AI) and the Internet of Things (IoT). The Internet of Things is a term that has been introduced in recent years to define devices that are able to connect and transfer data to other devices via the Internet. While IoT and sensors have the ability to harness large volumes of data, AI can learn patterns in the data and quickly extract insights in order to automate tasks for a variety

Recent Trends in Learning From Data

Recent Trends in Learning From Data
  • Author : Luca Oneto,Nicolò Navarin,Alessandro Sperduti,Davide Anguita
  • Publisher : Springer Nature
  • Release : 03 April 2020
GET THIS BOOKRecent Trends in Learning From Data

This book offers a timely snapshot and extensive practical and theoretical insights into the topic of learning from data. Based on the tutorials presented at the INNS Big Data and Deep Learning Conference, INNSBDDL2019, held on April 16-18, 2019, in Sestri Levante, Italy, the respective chapters cover advanced neural networks, deep architectures, and supervised and reinforcement machine learning models. They describe important theoretical concepts, presenting in detail all the necessary mathematical formalizations, and offer essential guidance on their use in current

New Trends in Computational Collective Intelligence

New Trends in Computational Collective Intelligence
  • Author : David Camacho,Sang-Wook Kim,Bogdan Trawiński
  • Publisher : Springer
  • Release : 10 September 2014
GET THIS BOOKNew Trends in Computational Collective Intelligence

This book consists of 20 chapters in which the authors deal with different theoretical and practical aspects of new trends in Collective Computational Intelligence techniques. Computational Collective Intelligence methods and algorithms are one the current trending research topics from areas related to Artificial Intelligence, Soft Computing or Data Mining among others. Computational Collective Intelligence is a rapidly growing field that is most often understood as an AI sub-field dealing with soft computing methods which enable making group decisions and processing knowledge

Current Trends in Semantic Web Technologies: Theory and Practice

Current Trends in Semantic Web Technologies: Theory and Practice
  • Author : Giner Alor-Hernández,José Luis Sánchez-Cervantes,Alejandro Rodríguez-González,Rafael Valencia-García
  • Publisher : Springer
  • Release : 17 January 2019
GET THIS BOOKCurrent Trends in Semantic Web Technologies: Theory and Practice

This book presents innovative and high-quality research regarding the implementation of Semantic Web technologies for knowledge representation and developing intelligent applications in various domains. Semantic Web technologies have inspired many people to create innovative technologies and applications for knowledge representation, Semantic Searches, NLP and Social Networks. The goal of this book is to collect and consolidate novel and high-quality research contributions on Semantic Web technologies and their theoretical and practical application to a range of different domains. In addition to

Recent Trends and Advances in Wireless and IoT-enabled Networks

Recent Trends and Advances in Wireless and IoT-enabled Networks
  • Author : Mian Ahmad Jan,Fazlullah Khan,Muhammad Alam
  • Publisher : Springer
  • Release : 22 January 2019
GET THIS BOOKRecent Trends and Advances in Wireless and IoT-enabled Networks

The book covers a variety of topics in Information and Communications Technology (ICT) and their impact on innovation and business. The authors discuss various innovations, business and industrial motivations, and impact on humans and the interplay between those factors in terms of finance, demand, and competition. Topics discussed include the convergence of Machine to Machine (M2M), Internet of Things (IoT), Social, and Big Data. They also discuss AI and its integration into technologies from machine learning, predictive analytics, security

Handbook of Research on Computational Intelligence Applications in Bioinformatics

Handbook of Research on Computational Intelligence Applications in Bioinformatics
  • Author : Dash, Sujata,Subudhi, Bidyadhar
  • Publisher : IGI Global
  • Release : 20 June 2016
GET THIS BOOKHandbook of Research on Computational Intelligence Applications in Bioinformatics

Developments in the areas of biology and bioinformatics are continuously evolving and creating a plethora of data that needs to be analyzed and decrypted. Since it can be difficult to decipher the multitudes of data within these areas, new computational techniques and tools are being employed to assist researchers in their findings. The Handbook of Research on Computational Intelligence Applications in Bioinformatics examines emergent research in handling real-world problems through the application of various computation technologies and techniques. Featuring theoretical