The amount of digital data available in the world doubles almost every year. Managed well, this data can be used to extract new sources of knowledge for daily business use. Multidisciplinary Computational Intelligence Techniques: Applications in Business, Engineering, and Medicine explores the complex world of computational intelligence, which utilizes computational methodologies such as fuzzy logic systems, neural networks, and evolutionary computation for the purpose of managing and using data effectively and addressing complicated real-world problems. This publication brings together various segments of computational intelligence and its applications in the worlds of business, engineering, and medicine.

A Smart Grid delivers renewable energy as a main source of electricity from producers to consumers using two-way monitoring through Smart Meter technology that can remotely control consumer electricity use. This can help to storage excess energy; reduce costs, increase reliability and transparency, and make processes more efficiently. Smart Grids: Opportunities, Developments, and Trends discusses advances in Smart Grid in today's dynamic and rapid growing global economical and technological environments. Current development in the field are systematically explored with an introduction, detailed discussion and an experimental demonstration. Each chapter also includes the future scope and ongoing research for each topic. Smart Grids: Opportunities, Developments, and Trends provides up to date knowledge, research results, and innovations in Smart Grids spanning design, implementation, analysis and evaluation of Smart Grid solutions to the challenging problems in all areas of power industry. Providing a solid foundation for graduate and postgraduate students, this thorough approach also makes Smart Grids: Opportunities, Developments, and Trends a useful resource and hand book for researchers and practitioners in Smart Grid research. It can also act as a guide to Smart Grids for industry professionals and engineers from different fields working with Smart Grids.

Overcoming many challenges, data mining has already established discipline capability in many domains. ""Dynamic and Advanced Data Mining for Progressing Technological Development: Innovations and Systemic Approaches"" discusses advances in modern data mining research in today's rapidly growing global and technological environment. A critical mass of the most sought after knowledge, this publication serves as an important reference tool to leading research within information search and retrieval techniques.

This book is dedicated to applied computational intelligence and soft computing techniques with special reference to decision support in Cyber Physical Systems (CPS), where the physical as well as the communication segment of the networked entities interact with each other. The joint dynamics of such systems result in a complex combination of computers, software, networks and physical processes all combined to establish a process flow at system level. This volume provides the audience with an in-depth vision about how to ensure dependability, safety, security and efficiency in real time by making use of computational intelligence in various CPS applications ranging from the nano-world to large scale wide area systems of systems. Key application areas include healthcare, transportation, energy, process control and robotics where intelligent decision support has key significance in establishing dynamic, ever-changing and high confidence future technologies. A recommended text for graduate students and researchers working on the applications of computational intelligence methods in CPS.

A Smart Grid delivers renewable energy as a main source of electricity from producers to consumers using two-way monitoring through Smart Meter technology that can remotely control consumer electricity use. This can help to storage excess energy; reduce costs, increase reliability and transparency, and make processes more efficiently. Smart Grids: Opportunities, Developments, and Trends discusses advances in Smart Grid in today's dynamic and rapid growing global economical and technological environments. Current development in the field are systematically explored with an introduction, detailed discussion and an experimental demonstration. Each chapter also includes the future scope and ongoing research for each topic. Smart Grids: Opportunities, Developments, and Trends provides up to date knowledge, research results, and innovations in Smart Grids spanning design, implementation, analysis and evaluation of Smart Grid solutions to the challenging problems in all areas of power industry. Providing a solid foundation for graduate and postgraduate students, this thorough approach also makes Smart Grids: Opportunities, Developments, and Trends a useful resource and hand book for researchers and practitioners in Smart Grid research. It can also act as a guide to Smart Grids for industry professionals and engineers from different fields working with Smart Grids.

This book is dedicated to applied computational intelligence and soft computing techniques with special reference to decision support in Cyber Physical Systems (CPS), where the physical as well as the communication segment of the networked entities interact with each other. The joint dynamics of such systems result in a complex combination of computers, software, networks and physical processes all combined to establish a process flow at system level.

This volume provides the audience with an in-depth vision about how to ensure dependability, safety, security and efficiency in real time by making use of computational intelligence in various CPS applications ranging from the nano-world to large scale wide area systems of systems.

Key application areas include healthcare, transportation, energy, process control and robotics where intelligent decision support has key significance in establishing dynamic, ever-changing and high confidence future technologies. A recommended text for graduate students and researchers working on the applications of computational intelligence methods in CPS.

This book constitutes the proceedings of the International Conference on Big Data Intelligence and Computing, DataCom 2022, which took place in Denarau Island, Fiji, in December 2022. The 30 full papers included in this volume were carefully reviewed and selected from 88 submissions. The papers detail big data analytics solutions, distributed computation paradigms, on-demand services, autonomic systems, and pervasive applications.

This book constitutes the proceedings of the 10th International Conference on Internet and Distributed Computing Systems, IDCS 2017, held in Mana Island, Fiji, in December 2017. The 16 full papers presented were carefully reviewed and selected from 40 submissions. The papers focus on emerging models, paradigms, technologies and novel applications related to Internet-based distributed systems, including Internet of Things, cyber-physical systems, wireless sensor networks, next-generation collaborative systems, extreme-scale networked systems, and cloud-based big data systems.

This book constitutes the proceedings of the 9th International Conference on Internet and Distributed Computing Systems, IDCS 2016, held in Wuhan, China, in September 2016. The 30 full papers and 18 short papers presented in this volume were carefully reviewed and selected from 78 submissions. They were organized in topical sections named: body sensor networks and wearable devices; cloud computing and networking; distributed computing and big data; distributed scheduling and optimization; internet of things and its application; smart networked transportation and logistics; and big data and social networks.

The study was designed for phytochemical investigations of ethanolic extract of bark and leaf of Swietenia mahagoni belonging to the family of Meliaceae and evaluation of their biological activities with the special emphasis on analgesic, anti-inflammatory, anti-microbial and cytotoxic screening in different animal model. Phytochemical investigations were done by extensive analysis with high resolution proton NMR spectroscopic data. The ethanol extract of stem bark was partitioned between pet-ether, dichloromethane and methanol fractions. Chromatographic isolation of dichloromethane fraction using column chromatography followed by preparative TLC afforded tetranortriterpenoid compound. Ethanol extract and different fractions showed significant analgesic and anti-inflammatory potential.From the bio-assay of different fractions and extract, significant cytotoxic properties were evaluated whereas mild to moderate antimicrobial activity was found in this study.