Advances in Brain Vision and Artificial Intelligence

Advances in Brain  Vision  and Artificial Intelligence
Author: Francesco Mele,Giuliana Ramella,Silvia Santillo,Francesco Ventriglia
Publsiher: Springer
Total Pages: 618
Release: 2007-09-21
ISBN: 3540755551
Category: Computers
Language: EN, FR, DE, ES & NL

Advances in Brain Vision and Artificial Intelligence Book Excerpt:

This book constitutes the refereed proceedings of the Second International Symposium on Brain, Vision and Artificial Intelligence, BVAI 2007. Coverage includes: basic models in visual sciences, cortical mechanism of vision, color processing in natural vision, action oriented vision, visual recognition and attentive modulation, biometric recognition, image segmentation and recognition, disparity calculation and noise analysis, meaning-interaction-emotion, and robot navigation.

Advances in Visual Information Systems

Advances in Visual Information Systems
Author: Guoping Qiu,Clement Leung,Xiang-Yang Xue,Robert Laurini
Publsiher: Springer
Total Pages: 586
Release: 2007-11-18
ISBN: 3540764143
Category: Computers
Language: EN, FR, DE, ES & NL

Advances in Visual Information Systems Book Excerpt:

This book constitutes the thoroughly refereed post-proceedings of the 9th International Conference on Visual Information Systems, VISUAL 2007, held in Shanghai, China, in June 2007. The papers are organized in topical section on image and video retrieval, visual biometrics, intelligent visual information processing, visual data mining, ubiquitous and mobile visual information systems, semantics, 2D/3D graphical visual data retrieval, and applications of visual information systems.

Advanced Machine Intelligence and Signal Processing

Advanced Machine Intelligence and Signal Processing
Author: Deepak Gupta,Koj Sambyo,Mukesh Prasad,Sonali Agarwal
Publsiher: Springer Nature
Total Pages: 876
Release: 2022-07-27
ISBN: 9811908400
Category: Technology & Engineering
Language: EN, FR, DE, ES & NL

Advanced Machine Intelligence and Signal Processing Book Excerpt:

This book covers the latest advancements in the areas of machine learning, computer vision, pattern recognition, computational learning theory, big data analytics, network intelligence, signal processing, and their applications in real world. The topics covered in machine learning involve feature extraction, variants of support vector machine (SVM), extreme learning machine (ELM), artificial neural network (ANN), and other areas in machine learning. The mathematical analysis of computer vision and pattern recognition involves the use of geometric techniques, scene understanding and modeling from video, 3D object recognition, localization and tracking, medical image analysis, and so on. Computational learning theory involves different kinds of learning like incremental, online, reinforcement, manifold, multitask, semi-supervised, etc. Further, it covers the real-time challenges involved while processing big data analytics and stream processing with the integration of smart data computing services and interconnectivity. Additionally, it covers the recent developments to network intelligence for analyzing the network information and thereby adapting the algorithms dynamically to improve the efficiency. In the last, it includes the progress in signal processing to process the normal and abnormal categories of real-world signals, for instance signals generated from IoT devices, smart systems, speech, videos, etc., and involves biomedical signal processing: electrocardiogram (ECG), electroencephalogram (EEG), magnetoencephalography (MEG), and electromyogram (EMG).

Brain Vision and Artificial Intelligence

Brain  Vision  and Artificial Intelligence
Author: Massimo De Gregorio,Vito Di Maio,Maria Frucci,Carlo Musio
Publsiher: Springer Science & Business Media
Total Pages: 556
Release: 2005-10-11
ISBN: 3540292829
Category: Computers
Language: EN, FR, DE, ES & NL

Brain Vision and Artificial Intelligence Book Excerpt:

This book constitutes the refereed proceedings of the First International Symposium on Brain, Vision and Artificial Intelligence, BVAI 2005, held in Naples, Italy in October 2005. The 48 revised papers presented together with 6 invited lectures were carefully reviewed and selected from more than 80 submissions for inclusion in the book. The papers are addressed to the following main topics and sub-topics: brain basics - neuroanatomy and physiology, development, plasticity and learning, synaptic, neuronic and neural network modelling; natural vision - visual neurosciences, mechanisms and model systems, visual perception, visual cognition; artificial vision - shape perception, shape analysis and recognition, shape understanding; artificial inteligence - hybrid intelligent systems, agents, and cognitive models.

Towards Smart World

Towards Smart World
Author: Lavanya Sharma
Publsiher: CRC Press
Total Pages: 342
Release: 2020-12-14
ISBN: 1000284956
Category: Computers
Language: EN, FR, DE, ES & NL

Towards Smart World Book Excerpt:

Towards Smart World: Homes to Cities Using Internet of Things provides an overview of basic concepts from the rising of machines and communication to IoT for making cities smart, real-time applications domains, related technologies, and their possible solutions for handling relevant challenges. This book highlights the utilization of IoT for making cities smart and its underlying technologies in real-time application areas such as emergency departments, intelligent traffic systems, indoor and outdoor securities, automotive industries, environmental monitoring, business entrepreneurship, facial recognition, and motion-based object detection. Features The book covers the challenging issues related to sensors, detection, and tracking of moving objects, and solutions to handle relevant challenges. It contains the most recent research analysis in the domain of communications, signal processing, and computing sciences for facilitating smart homes, buildings, environmental conditions, and cities. It presents the readers with practical approaches and future direction for using IoT in smart cities and discusses how it deals with human dynamics, the ecosystem, and social objects and their relation. It describes the latest technological advances in IoT and visual surveillance with their implementations. This book is an ideal resource for IT professionals, researchers, undergraduate or postgraduate students, practitioners, and technology developers who are interested in gaining deeper knowledge and implementing IoT for smart cities, real-time applications areas, and technologies, and a possible set of solutions to handle relevant challenges. Dr. Lavanya Sharma is an Assistant Professor in the Amity Institute of Information Technology at Amity University UP, Noida, India. She has been a recipient of several prestigious awards during her academic career. She is an active nationally recognized researcher who has published numerous papers in her field.

Interdisciplinary Evolution of the Machine Brain

Interdisciplinary Evolution of the Machine Brain
Author: Wenfeng Wang,Hengjin Cai,Xiangyang Deng,Chenguang Lu,Limin Zhang
Publsiher: Springer Nature
Total Pages: 145
Release: 2021-01-04
ISBN: 9813342447
Category: Technology & Engineering
Language: EN, FR, DE, ES & NL

Interdisciplinary Evolution of the Machine Brain Book Excerpt:

This book seeks to interpret connections between the machine brain, mind and vision in an alternative way and promote future research into the Interdisciplinary Evolution of Machine Brain (IEMB). It gathers novel research on IEMB, and offers readers a step-by-step introduction to the theory and algorithms involved, including data-driven approaches in machine learning, monitoring and understanding visual environments, using process-based perception to expand insights, mechanical manufacturing for remote sensing, reconciled connections between the machine brain, mind and vision, and the interdisciplinary evolution of machine intelligence. This book is intended for researchers, graduate students and engineers in the fields of robotics, Artificial Intelligence and brain science, as well as anyone who wishes to learn the core theory, principles, methods, algorithms, and applications of IEMB.

Advanced Artificial Intelligence Second Edition

Advanced Artificial Intelligence  Second Edition
Author: Shi Zhongzhi
Publsiher: World Scientific
Total Pages: 596
Release: 2019-08-05
ISBN: 9811200890
Category: Computers
Language: EN, FR, DE, ES & NL

Advanced Artificial Intelligence Second Edition Book Excerpt:

The joint breakthrough of big data, cloud computing and deep learning has made artificial intelligence (AI) the new focus in the international arena. AI is a branch of computer science, developing intelligent machine with imitating, extending and augmenting human intelligence through artificial means and techniques to realize intelligent behaviour.This comprehensive compendium, consisting of 15 chapters, captures the updated achievements of AI. It is completely revised to reflect the current researches in the field, through numerous techniques and strategies to address the impending challenges facing computer scientists today.The unique volume is useful for senior or graduate students in the information field and related tertiary specialities. It is also a suitable reference text for professionals, researchers, and academics in AI, machine learning, electrical & electronic engineering and biocomputing.

Evolving Fuzzy Systems Methodologies Advanced Concepts and Applications

Evolving Fuzzy Systems   Methodologies  Advanced Concepts and Applications
Author: Edwin Lughofer
Publsiher: Springer Science & Business Media
Total Pages: 456
Release: 2011-01-19
ISBN: 3642180868
Category: Mathematics
Language: EN, FR, DE, ES & NL

Evolving Fuzzy Systems Methodologies Advanced Concepts and Applications Book Excerpt:

In today’s real-world applications, there is an increasing demand of integrating new information and knowledge on-demand into model building processes to account for changing system dynamics, new operating conditions, varying human behaviors or environmental influences. Evolving fuzzy systems (EFS) are a powerful tool to cope with this requirement, as they are able to automatically adapt parameters, expand their structure and extend their memory on-the-fly, allowing on-line/real-time modeling. This book comprises several evolving fuzzy systems approaches which have emerged during the last decade and highlights the most important incremental learning methods used. The second part is dedicated to advanced concepts for increasing performance, robustness, process-safety and reliability, for enhancing user-friendliness and enlarging the field of applicability of EFS and for improving the interpretability and understandability of the evolved models. The third part underlines the usefulness and necessity of evolving fuzzy systems in several online real-world application scenarios, provides an outline of potential future applications and raises open problems and new challenges for the next generation evolving systems, including human-inspired evolving machines. The book includes basic principles, concepts, algorithms and theoretic results underlined by illustrations. It is dedicated to researchers from the field of fuzzy systems, machine learning, data mining and system identification as well as engineers and technicians who apply data-driven modeling techniques in real-world systems.

Advanced Intelligent Computing Theories and Applications With Aspects of Artificial Intelligence

Advanced Intelligent Computing Theories and Applications  With Aspects of Artificial Intelligence
Author: De-Shuang Huang,Xiang Zhang,Carlos Alberto Reyes Garcia,Lei Zhang
Publsiher: Springer
Total Pages: 685
Release: 2010-08-15
ISBN: 3642149324
Category: Computers
Language: EN, FR, DE, ES & NL

Advanced Intelligent Computing Theories and Applications With Aspects of Artificial Intelligence Book Excerpt:

The International Conference on Intelligent Computing (ICIC) was formed to provide an annual forum dedicated to the emerging and challenging topics in artificial intel- gence, machine learning, pattern recognition, image processing, bioinformatics, and computational biology. It aims to bring together researchers and practitioners from both academia and industry to share ideas, problems, and solutions related to the m- tifaceted aspects of intelligent computing. ICIC 2010, held in Changsha, China, August 18–21, 2010, constituted the 6th - ternational Conference on Intelligent Computing. It built upon the success of ICIC 2009, ICIC 2008, ICIC 2007, ICIC 2006, and ICIC 2005, that were held in Ulsan, Korea, Shanghai, Qingdao, Kunming, and Hefei, China, respectively. This year, the conference concentrated mainly on the theories and methodologies as well as the emerging applications of intelligent computing. Its aim was to unify the picture of contemporary intelligent computing techniques as an integral concept that highlights the trends in advanced computational intelligence and bridges theoretical research with applications. Therefore, the theme for this conference was “Advanced Intelligent Computing Technology and Applications.” Papers focusing on this theme were solicited, addressing theories, methodologies, and applications in science and technology.

Artificial Intelligence Techniques for Advanced Computing Applications

Artificial Intelligence Techniques for Advanced Computing Applications
Author: D. Jude Hemanth,G. Vadivu,M. Sangeetha,Valentina Emilia Balas
Publsiher: Springer Nature
Total Pages: 534
Release: 2020-07-23
ISBN: 9811553297
Category: Technology & Engineering
Language: EN, FR, DE, ES & NL

Artificial Intelligence Techniques for Advanced Computing Applications Book Excerpt:

This book features a collection of high-quality research papers presented at the International Conference on Advanced Computing Technology (ICACT 2020), held at the SRM Institute of Science and Technology, Chennai, India, on 23–24 January 2020. It covers the areas of computational intelligence, artificial intelligence, machine learning, deep learning, big data, and applications of artificial intelligence in networking, IoT and bioinformatics

Advances in Artificial Intelligence and Data Engineering

Advances in Artificial Intelligence and Data Engineering
Author: Niranjan N. Chiplunkar,Takanori Fukao
Publsiher: Springer Nature
Total Pages: 1475
Release: 2020-08-13
ISBN: 9811535140
Category: Technology & Engineering
Language: EN, FR, DE, ES & NL

Advances in Artificial Intelligence and Data Engineering Book Excerpt:

This book presents selected peer-reviewed papers from the International Conference on Artificial Intelligence and Data Engineering (AIDE 2019). The topics covered are broadly divided into four groups: artificial intelligence, machine vision and robotics, ambient intelligence, and data engineering. The book discusses recent technological advances in the emerging fields of artificial intelligence, machine learning, robotics, virtual reality, augmented reality, bioinformatics, intelligent systems, cognitive systems, computational intelligence, neural networks, evolutionary computation, speech processing, Internet of Things, big data challenges, data mining, information retrieval, and natural language processing. Given its scope, this book can be useful for students, researchers, and professionals interested in the growing applications of artificial intelligence and data engineering.

Engineering for Sustainable Development

Engineering for Sustainable Development
Author: International Centre for Engineering Education,UNESCO
Publsiher: UNESCO Publishing
Total Pages: 185
Release: 2021-03-02
ISBN: 9231004379
Category: Political Science
Language: EN, FR, DE, ES & NL

Engineering for Sustainable Development Book Excerpt:

Advanced Concepts for Intelligent Vision Systems

Advanced Concepts for Intelligent Vision Systems
Author: Jacques Blanc-Talon,Don Bone,Wilfried Philips,Dan Popescu,Paul Scheunders
Publsiher: Springer
Total Pages: 491
Release: 2010-12-06
ISBN: 3642176887
Category: Computers
Language: EN, FR, DE, ES & NL

Advanced Concepts for Intelligent Vision Systems Book Excerpt:

This volume collects the papers accepted for presentation at the 12th Int- national Conference on “Advanced Concepts for Intelligent Vision Systems” (ACIVS 2010). Following the ?rst meeting in Baden-Baden (Germany) in 1999, whichwaspartofalargemulticonference,theACIVSconferencethendeveloped into an independent scienti?c event and has ever since maintained the tradition of being a single track conference. ACIVS 2010 attracted computer scientists from 29 di?erent countries, mostly from Europe, Australia, and the USA, but also from Asia. Although ACIVS is a conference on all areas of image and video processing, submissions tend to gather within certain major ?elds of interest. This year 3D and depth processing and computer vision and surveillance were popular topics. Noteworthy are the growing number of papers related to theoretical devel- ments. We would like to thank the invited speakers Mubarak Shah (University of Central Florida), Richard Kleihorst (VITO, Belgium), Richard Hartley (A- tralian National University), and David Suter (Adelaide University) for their valuable contributions.

Handbook of Research on Advancements of Artificial Intelligence in Healthcare Engineering

Handbook of Research on Advancements of Artificial Intelligence in Healthcare Engineering
Author: Sisodia, Dilip Singh,Pachori, Ram Bilas,Garg, Lalit
Publsiher: IGI Global
Total Pages: 420
Release: 2020-02-28
ISBN: 1799821226
Category: Medical
Language: EN, FR, DE, ES & NL

Handbook of Research on Advancements of Artificial Intelligence in Healthcare Engineering Book Excerpt:

Artificial intelligence (AI) is revolutionizing every aspect of human life including human healthcare and wellbeing management. Various types of intelligent healthcare engineering applications have been created that help to address patient healthcare and outcomes such as identifying diseases and gathering patient information. Advancements in AI applications in healthcare continue to be sought to aid rapid disease detection, health monitoring, and prescription drug tracking. TheHandbook of Research on Advancements of Artificial Intelligence in Healthcare Engineering is an essential scholarly publication that provides comprehensive research on the possible applications of machine learning, deep learning, soft computing, and evolutionary computing techniques in the design, implementation, and optimization of healthcare engineering solutions. Featuring a wide range of topics such as genetic algorithms, mobile robotics, and neuroinformatics, this book is ideal for engineers, technology developers, IT consultants, hospital administrators, academicians, healthcare professionals, practitioners, researchers, and students.

Progress in Advanced Computing and Intelligent Engineering

Progress in Advanced Computing and Intelligent Engineering
Author: Chhabi Rani Panigrahi,Bibudhendu Pati,Binod Kumar Pattanayak,Seeven Amic,Kuan-Ching Li
Publsiher: Springer Nature
Total Pages: 915
Release: 2021-04-15
ISBN: 9813342994
Category: Technology & Engineering
Language: EN, FR, DE, ES & NL

Progress in Advanced Computing and Intelligent Engineering Book Excerpt:

This book focuses on theory, practice and applications in the broad areas of advanced computing techniques and intelligent engineering. This book includes 74 scholarly articles which were accepted for presentation from 294 submissions in the 5th ICACIE during 25–27 June 2020 at Université des Mascareignes (UdM), Mauritius, in collaboration with Rama Devi Women’s University, Bhubaneswar, India, and S‘O’A Deemed to be University, Bhubaneswar, India. This book brings together academicians, industry persons, research scholars and students to share and disseminate their knowledge and scientific research work related to advanced computing and intelligent engineering. It helps to provide a platform to the young researchers to find the practical challenges encountered in these areas of research and the solutions adopted. The book helps to disseminate the knowledge about some innovative and active research directions in the field of advanced computing techniques and intelligent engineering, along with some current issues and applications of related topics.

Explainable Artificial Intelligence for Smart Cities

Explainable Artificial Intelligence for Smart Cities
Author: Mohamed Lahby,Utku Kose,Akash Kumar Bhoi
Publsiher: CRC Press
Total Pages: 360
Release: 2021-11-10
ISBN: 1000472361
Category: Technology & Engineering
Language: EN, FR, DE, ES & NL

Explainable Artificial Intelligence for Smart Cities Book Excerpt:

Thanks to rapid technological developments in terms of Computational Intelligence, smart tools have been playing active roles in daily life. It is clear that the 21st century has brought about many advantages in using high-level computation and communication solutions to deal with real-world problems; however, more technologies bring more changes to society. In this sense, the concept of smart cities has been a widely discussed topic in terms of society and Artificial Intelligence-oriented research efforts. The rise of smart cities is a transformation of both community and technology use habits, and there are many different research orientations to shape a better future. The objective of this book is to focus on Explainable Artificial Intelligence (XAI) in smart city development. As recently designed, advanced smart systems require intense use of complex computational solutions (i.e., Deep Learning, Big Data, IoT architectures), the mechanisms of these systems become ‘black-box’ to users. As this means that there is no clear clue about what is going on within these systems, anxieties regarding ensuring trustworthy tools also rise. In recent years, attempts have been made to solve this issue with the additional use of XAI methods to improve transparency levels. This book provides a timely, global reference source about cutting-edge research efforts to ensure the XAI factor in smart city-oriented developments. The book includes both positive and negative outcomes, as well as future insights and the societal and technical aspects of XAI-based smart city research efforts. This book contains nineteen contributions beginning with a presentation of the background of XAI techniques and sustainable smart-city applications. It then continues with chapters discussing XAI for Smart Healthcare, Smart Education, Smart Transportation, Smart Environment, Smart Urbanization and Governance, and Cyber Security for Smart Cities.

Quantum and Blockchain for Modern Computing Systems Vision and Advancements

Quantum and Blockchain for Modern Computing Systems  Vision and Advancements
Author: Adarsh Kumar,Sukhpal Singh Gill,Ajith Abraham
Publsiher: Springer Nature
Total Pages: 371
Release: 2022-08-22
ISBN: 3031046137
Category: Computers
Language: EN, FR, DE, ES & NL

Quantum and Blockchain for Modern Computing Systems Vision and Advancements Book Excerpt:

This book states that blockchain technology provides a secure distributed, peer-to-peer, and decentralized network with advanced cryptography primitives and protocols. The important question that arises in the quantum computing world is to test the existing blockchain networks against quantum attacks and design quantum computing enabled secure blockchain solutions. This book encourages professionals from different fields to provide blockchain and quantum technology-integrated solutions that incorporate low-cost, effective QoS, fast, secure, and futuristic demands. This book has surveyed and proposed approaches that improve quantum computing and cryptography protocols. Quantum computing and quantum science are not just helpful in software but the hardware world as well. To design networks with quantum science, quantum-enabled devices like quantum memories and quantum repeaters can be useful to demonstrate for organizations. For example, designing a single quantum repeater for long-distance quantum communication is useful in reducing the network cost, and ensuring better security levels. This book has introduced the quantum computing and blockchain technology aspects, their integration approaches and future directions.

Advanced Image Processing Techniques and Applications

Advanced Image Processing Techniques and Applications
Author: Kumar, N. Suresh,Sangaiah, Arun Kumar,Arun, M.,Anand, S.
Publsiher: IGI Global
Total Pages: 439
Release: 2017-02-10
ISBN: 1522520546
Category: Computers
Language: EN, FR, DE, ES & NL

Advanced Image Processing Techniques and Applications Book Excerpt:

Today, the scope of image processing and recognition has broadened due to the gap in scientific visualization. Thus, new imaging techniques have developed, and it is imperative to study this progression for optimal utilization. Advanced Image Processing Techniques and Applications is an essential reference publication for the latest research on digital image processing advancements. Featuring expansive coverage on a broad range of topics and perspectives, such as image and video steganography, pattern recognition, and artificial vision, this publication is ideally designed for scientists, professionals, researchers, and academicians seeking current research on solutions for new challenges in image processing.

Python Advanced Guide to Artificial Intelligence

Python  Advanced Guide to Artificial Intelligence
Author: Giuseppe Bonaccorso,Armando Fandango,Rajalingappaa Shanmugamani
Publsiher: Packt Publishing Ltd
Total Pages: 764
Release: 2018-12-21
ISBN: 1789951720
Category: Computers
Language: EN, FR, DE, ES & NL

Python Advanced Guide to Artificial Intelligence Book Excerpt:

Demystify the complexity of machine learning techniques and create evolving, clever solutions to solve your problems Key FeaturesMaster supervised, unsupervised, and semi-supervised ML algorithms and their implementation Build deep learning models for object detection, image classification, similarity learning, and moreBuild, deploy, and scale end-to-end deep neural network models in a production environmentBook Description This Learning Path is your complete guide to quickly getting to grips with popular machine learning algorithms. You'll be introduced to the most widely used algorithms in supervised, unsupervised, and semi-supervised machine learning, and learn how to use them in the best possible manner. Ranging from Bayesian models to the MCMC algorithm to Hidden Markov models, this Learning Path will teach you how to extract features from your dataset and perform dimensionality reduction by making use of Python-based libraries. You'll bring the use of TensorFlow and Keras to build deep learning models, using concepts such as transfer learning, generative adversarial networks, and deep reinforcement learning. Next, you'll learn the advanced features of TensorFlow1.x, such as distributed TensorFlow with TF clusters, deploy production models with TensorFlow Serving. You'll implement different techniques related to object classification, object detection, image segmentation, and more. By the end of this Learning Path, you'll have obtained in-depth knowledge of TensorFlow, making you the go-to person for solving artificial intelligence problems This Learning Path includes content from the following Packt products: Mastering Machine Learning Algorithms by Giuseppe BonaccorsoMastering TensorFlow 1.x by Armando FandangoDeep Learning for Computer Vision by Rajalingappaa ShanmugamaniWhat you will learnExplore how an ML model can be trained, optimized, and evaluatedWork with Autoencoders and Generative Adversarial NetworksExplore the most important Reinforcement Learning techniquesBuild end-to-end deep learning (CNN, RNN, and Autoencoders) modelsWho this book is for This Learning Path is for data scientists, machine learning engineers, artificial intelligence engineers who want to delve into complex machine learning algorithms, calibrate models, and improve the predictions of the trained model. You will encounter the advanced intricacies and complex use cases of deep learning and AI. A basic knowledge of programming in Python and some understanding of machine learning concepts are required to get the best out of this Learning Path.

Advances in Machine Learning and Computational Intelligence

Advances in Machine Learning and Computational Intelligence
Author: Srikanta Patnaik,Xin-She Yang,Ishwar K. Sethi
Publsiher: Springer Nature
Total Pages: 878
Release: 2020-07-25
ISBN: 9811552436
Category: Technology & Engineering
Language: EN, FR, DE, ES & NL

Advances in Machine Learning and Computational Intelligence Book Excerpt:

This book gathers selected high-quality papers presented at the International Conference on Machine Learning and Computational Intelligence (ICMLCI-2019), jointly organized by Kunming University of Science and Technology and the Interscience Research Network, Bhubaneswar, India, from April 6 to 7, 2019. Addressing virtually all aspects of intelligent systems, soft computing and machine learning, the topics covered include: prediction; data mining; information retrieval; game playing; robotics; learning methods; pattern visualization; automated knowledge acquisition; fuzzy, stochastic and probabilistic computing; neural computing; big data; social networks and applications of soft computing in various areas.