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"This invaluable book is the first of its kind on "selforganizology", the science of self-organization. It covers a wide range of topics, such as the theory, principle and methodology of selforganizology, agent-based modelling, intelligence basis, ant colony optimization, fish/particle swarm optimization, cellular automata, spatial diffusion models, evolutionary algorithms, self-adaptation and control systems, self-organizing neural networks, catastrophe theory and methods, and self-organization of biological communities, etc. Readers will have an in-depth and comprehensive understanding of selforganizology, with detailed background information provided for those who wish to delve deeper into the subject and explore research literature. This book is a valuable reference for research scientists, university teachers, graduate students and high-level undergraduates in the areas of computational science, artificial intelligence, applied mathematics, engineering science, social science and life sciences."--
Fundamentals Of Network Biology by Zhang Wenjun Pdf
As the first comprehensive title on network biology, this book covers a wide range of subjects including scientific fundamentals (graphs, networks, etc) of network biology, construction and analysis of biological networks, methods for identifying crucial nodes in biological networks, link prediction, flow analysis, network dynamics, evolution, simulation and control, ecological networks, social networks, molecular and cellular networks, network pharmacology and network toxicology, big data analytics, and more. Across 12 parts and 26 chapters, with Matlab codes provided for most models and algorithms, this self-contained title provides an in-depth and complete insight on network biology. It is a valuable read for high-level undergraduates and postgraduates in the areas of biology, ecology, environmental sciences, medical science, computational science, applied mathematics, and social science. Contents: Mathematical Fundamentals: Fundamentals of Graph TheoryGraph AlgorithmsFundamentals of Network TheoryOther FundamentalsCrucial Nodes/Subnetworks/Modules, Network Types, and Structural Comparison: Identification of Crucial Nodes and Subnetworks/ModulesDetection of Network TypesComparison of Network StructureNetwork Dynamics, Evolution, Simulation and Control: Network DynamicsNetwork Robustness and Sensitivity AnalysisNetwork ControlNetwork EvolutionCellular AutomataSelf-OrganizationAgent-based ModelingFlow Analysis: Flow/Flux AnalysisLink and Node Prediction: Link Prediction: Sampling-based MethodsLink Prediction: Structure- and Perturbation-based MethodsLink Prediction: Node-Similarity-based MethodsNode PredictionNetwork Construction: Construction of Biological NetworksPharmacological and Toxicological Networks: Network Pharmacology and ToxicologyEcological Networks: Food WebsMicroscopic Networks: Molecular and Cellular NetworksSocial Networks: Social Network AnalysisSoftware: Software for Network AnalysisBig Data Analytics: Big Data Analytics for Network Biology Readership: Advanced undergraduates and graduate students and researchers in biology, ecology, pharmacology, applied mathematics, computational science, etc. Keywords: Network Biology;Network Analysis;Food Webs;Molecular Networks;Social Networks;Network Pharmacology;Link Prediction;Network Dynamics;Big Data Analytics;Software;Models;Algorithms;Nodes;LinksReview:0
This invaluable book is the first of its kind on "selforganizology", the science of self-organization. It covers a wide range of topics, such as the theory, principle and methodology of selforganizology, agent-based modelling, intelligence basis, ant colony optimization, fish/particle swarm optimization, cellular automata, spatial diffusion models, evolutionary algorithms, self-adaptation and control systems, self-organizing neural networks, catastrophe theory and methods, and self-organization of biological communities, etc. Readers will have an in-depth and comprehensive understanding of selforganizology, with detailed background information provided for those who wish to delve deeper into the subject and explore research literature. This book is a valuable reference for research scientists, university teachers, graduate students and high-level undergraduates in the areas of computational science, artificial intelligence, applied mathematics, engineering science, social science and life sciences. Contents:Organization and Organizational TheorySelforganizology: The Science of Self-organizationAgent-based ModelingIntelligence PrinciplesCatastrophe Theory and MethodsSelf-adaptation and Control SystemsCellular Automata and Spatial Diffusion ModelsArtificial Neural NetworksAnt Colony OptimizationFish and Particle Swarm OptimizationSynergy, Coevolution, and Evolutionary AlgorithmsSynergy: Correlation AnalysisCommunity Succession and AssemblyMathematical Foundations Readership: Research scientists, university teachers, graduate students and high-level undergraduates in the areas of computational science, artificial intelligence, applied mathematics, engineering science, social science and life sciences. Key Features:This book is the first monograph on "selforganizology" in the world, with no competing titlesThe author is a prominent scientist, who is the editor-in-chief of six international journals, including SelforganizologyKeywords:Selforganizology;Self-organization;Agent-based Modeling;Algorithms;Computational Intelligence;Ant Colony Optimization;Evolutionary Algorithms;Cellular Automata;Particle Swarm Optimization;Catastrophe Theory
Optimization and Inventory Management by Nita H. Shah,Mandeep Mittal Pdf
This book discusses inventory models for determining optimal ordering policies using various optimization techniques, genetic algorithms, and data mining concepts. It also provides sensitivity analyses for the models’ robustness. It presents a collection of mathematical models that deal with real industry scenarios. All mathematical model solutions are provided with the help of various optimization techniques to determine optimal ordering policy. The book offers a range of perspectives on the implementation of optimization techniques, inflation, trade credit financing, fuzzy systems, human error, learning in production, inspection, green supply chains, closed supply chains, reworks, game theory approaches, genetic algorithms, and data mining, as well as research on big data applications for inventory management and control. Starting from deterministic inventory models, the book moves towards advanced inventory models. The content is divided into eight major sections: inventory control and management – inventory models with trade credit financing for imperfect quality items; environmental impact on ordering policies; impact of learning on the supply chain models; EOQ models considering warehousing; optimal ordering policies with data mining and PSO techniques; supply chain models in fuzzy environments; optimal production models for multi-items and multi-retailers; and a marketing model to understand buying behaviour. Given its scope, the book offers a valuable resource for practitioners, instructors, students and researchers alike. It also offers essential insights to help retailers/managers improve business functions and make more accurate and realistic decisions.
Advanced Mathematical Applications in Data Science by Biswadip Basu Mallik,Kirti Verma,Rahul Kar,Ashok Kumar Shaw Pdf
Advanced Mathematical Applications in Data Science comprehensively explores the crucial role mathematics plays in the field of data science. Each chapter is contributed by scientists, researchers, and academicians. The 13 chapters cover a range of mathematical concepts utilized in data science, enabling readers to understand the intricate connection between mathematics and data analysis. The book covers diverse topics, including, machine learning models, the Kalman filter, data modeling, artificial neural networks, clustering techniques, and more, showcasing the application of advanced mathematical tools for effective data processing and analysis. With a strong emphasis on real-world applications, the book offers a deeper understanding of the foundational principles behind data analysis and its numerous interdisciplinary applications. This reference is an invaluable resource for graduate students, researchers, academicians, and learners pursuing a research career in mathematical computing or completing advanced data science courses. Key Features: Comprehensive coverage of advanced mathematical concepts and techniques in data science Contributions from established scientists, researchers, and academicians Real-world case studies and practical applications of mathematical methods Focus on diverse areas, such as image classification, carbon emission assessment, customer churn prediction, and healthcare data analysis In-depth exploration of data science's connection with mathematics, computer science, and artificial intelligence Scholarly references for each chapter Suitable for readers with high school-level mathematical knowledge, making it accessible to a broad audience in academia and industry.
Ecophysiology of Tropical Plants by Sachchidanand Tripathi,Rahul Bhadouria,Pratap Srivastava,Rishikesh Singh,Rajkumari Sanayaima Devi Pdf
Plants in tropical regions are coping with enormous challenges of physiological stresses owing to changing environmental and climatic conditions. Rapid growth of human population and rampant exploitation of fossil fuels and other developmental activities are actively contributing to such perturbations. The Intergovernmental Panel on Climate Change has projected a sustained increase in carbon dioxide (CO2) emissions and thereby a rise in global temperature in the coming decades. The resultant changes in precipitation patterns are now evident across the globe due to intensication of hydrological cycle. Moreover, gaseous and particulate pollutants are also an immense challenge for tropical plants. Such vagaries in environmental conditions have signicant impacts on the ecophysiological traits of plants, resulting from altered interactions of tropical plants with each other, as well as other biotic and abiotic components within the ecosystem. Books available in the market that particularly focus on ecophysiological responses of tropical plants to abiotic and biotic environmental factors under climate change are limited. This book intends to fill this knowledge gap and provides a detailed analysis on ecophysiological responses of tropical plants to these environmental challenges, as well as suggesting some approachable measures for plant adaptations to these challenges. The book is equally applicable to undergraduate and postgraduate students, researchers, teachers and forest managers, and policy makers. Salient features of the book are: 1. A comprehensive discussion on adaptive mechanisms of plants through their ecophysiological responses to various biotic and abiotic stresses. 2. Elaboration on the recent techniques involved in ecophysiological research. 3. A detailed account of evolutionary responses of plants to changing climate. 4. Discussion of recent research results and some pointers to future advancements in ecophysiological research. 5. Presentation of information in a way that is accessible for students, researchers, and teachers practicing in plant physiology and ecology.
Intelligent Systems for IoE Based Smart Cities by Arun Solanki Pdf
Intelligent Systems for IoE Based Smart Cities provides simplified information about complexities of cyber physical systems, the Internet of Everything (IoE) and smart city infrastructure. It presents 11 edited chapters that reveal how intelligent systems and IoE are driving the evolution of smart cities, making them more efficient, interconnected, and responsive to the needs of citizens. The book content represents comprehensive exploration of the transformative potential and challenges of IoE-based smart cities, fueled by Artificial Intelligence (AI) and Machine Learning (ML) innovations. Key Topics: Physical layer design considerations that underpin smart city infrastructure Enabling technologies for intelligent systems within the context of smart computing environments Smart sensors and actuators, their applications, challenges, and future trends in IoE-based smart cities Applications, enabling technologies, challenges, and future trends of IoE for smart cities. The integration of Artificial Intelligence, Natural Language Processing, and smart cities for enhanced urban experiences machine learning-based intrusion detection techniques for countering attacks on the Internet of Vehicles Smartphone-based indoor positioning applications using trilateration and the role of sensors in IoT ecosystems IoT, blockchain, and cloud-based technology for secure frameworks and data analytics Blockchain and smart contracts in shaping the future of smart cities. This is a timely reference for researchers, professionals, and students interested in the convergence IoT, intelligent systems and urban studies into smart city planning and design.
Genes, Brains, and Human Potential by Ken Richardson Pdf
For countless generations people have been told that their potential as humans is limited and fundamentally unequal. The social order, they have been assured, is arranged by powers beyond their control. More recently the appeal has been to biology, specifically the genes, brain sciences, the concept of intelligence, and powerful new technologies. Reinforced through the authority of science and a growing belief in bio-determinism, the ordering of the many for the benefit of a few has become more entrenched. Yet scientists are now waking up to the influence of ideology on research and its interpretation. In Genes, Brains, and Human Potential, Ken Richardson illustrates how the ideology of human intelligence has infiltrated genetics, brain sciences, and psychology, flourishing in the vagueness of basic concepts, a shallow nature-versus-nurture debate, and the overhyped claims of reductionists. He shows how ideology, more than pure science, has come to dominate our institutions, especially education, encouraging fatalism about the development of human intelligence among individuals and societies. Genes, Brains, and Human Potential goes much further: building on work being done in molecular biology, epigenetics, dynamical systems, evolution theory, and complexity theory, it maps a fresh understanding of intelligence and the development of human potential. Concluding with an upbeat message for human possibilities, this synthesis of diverse perspectives will engender new conversations among students, researchers, and other interested readers.
ICT Systems and Sustainability by Milan Tuba,Shyam Akashe,Amit Joshi Pdf
This book proposes new technologies and discusses future solutions for ICT design infrastructures, as reflected in high-quality papers presented at the 8th International Conference on ICT for Sustainable Development (ICT4SD 2023), held in Goa, India, on 3–4 August 2023. The book covers the topics such as big data and data mining, data fusion, IoT programming toolkits and frameworks, green communication systems and network, use of ICT in smart cities, sensor networks and embedded system, network and information security, wireless and optical networks, security, trust, and privacy, routing and control protocols, cognitive radio and networks, and natural language processing. Bringing together experts from different countries, the book explores a range of central issues from an international perspective.
Applying Natural Language Processing (NLP) concepts to help humans in their daily life, this book discusses an automatic translation of an unstructured Natural Language Question (NLQ) into a Structured Query Language (SQL) statement. Using SQL as a Relational DataBase (RDB) interaction language, database administrators or general users with little to no SQL querying abilities are provided with all the knowledge necessary to perform queries on RDBs in an interactive manner. Key Features: Includes extensive and illustrative examples to simplify the discussed concepts Discusses a novel, and yet simple, approach to NLP Introduces a lightweight NLQ into SQL translation approach through the use of RDB MetaTables as a Hash table Extensive literature review and thorough background information on every tool, concept and technique applied Providing a unique approach to NLQ into SQL translation, as well as comprising disparate resources on NLP as a whole, this shortform book is of direct use to administrators and general users of databases.
Deep Natural Language Processing and AI Applications for Industry 5.0 by Tanwar, Poonam,Saxena, Arti,Priya, C. Pdf
To sustain and stay at the top of the market and give absolute comfort to the consumers, industries are using different strategies and technologies. Natural language processing (NLP) is a technology widely penetrating the market, irrespective of the industry and domains. It is extensively applied in businesses today, and it is the buzzword in every engineer’s life. NLP can be implemented in all those areas where artificial intelligence is applicable either by simplifying the communication process or by refining and analyzing information. Neural machine translation has improved the imitation of professional translations over the years. When applied in neural machine translation, NLP helps educate neural machine networks. This can be used by industries to translate low-impact content including emails, regulatory texts, etc. Such machine translation tools speed up communication with partners while enriching other business interactions. Deep Natural Language Processing and AI Applications for Industry 5.0 provides innovative research on the latest findings, ideas, and applications in fields of interest that fall under the scope of NLP including computational linguistics, deep NLP, web analysis, sentiments analysis for business, and industry perspective. This book covers a wide range of topics such as deep learning, deepfakes, text mining, blockchain technology, and more, making it a crucial text for anyone interested in NLP and artificial intelligence, including academicians, researchers, professionals, industry experts, business analysts, data scientists, data analysts, healthcare system designers, intelligent system designers, practitioners, and students.
Self-organisation is a universal mechanism in nature. In the past thirty years, numerous phenomena, theories and methods on self-organisation have been founded around the world. This book presents recent achievements in theories and methods of self-organisation and includes such theories and methods of self-organisation as ant algorithms, particle swarm algorithms, artificial neural networks, motion and migration algorithms, self-adaptive Kalman Filters, finite state approximations, etc., Chapters are contributed by more than 20 scientists from China, Italy, Spain, Japan, Russia, Serbia, India, and Turkey, in the areas of mathematics, computational science, artificial intelligence, aeronautics and astronautics, automation and control, and life sciences. It will provide researchers with various aspects of the latest advances in self-organisation. It is a valuable reference for scientists, university teachers and graduate students in mathematics, natural science, engineering science, and social science.
Information Theory And Evolution (Third Edition) by John Scales Avery Pdf
This highly interdisciplinary book discusses the phenomenon of life, including its origin and evolution, against the background of thermodynamics, statistical mechanics, and information theory. Among the central themes is the seeming contradiction between the second law of thermodynamics and the high degree of order and complexity produced by living systems. As the author shows, this paradox has its resolution in the information content of the Gibbs free energy that enters the biosphere from outside sources. Another focus of the book is the role of information in human cultural evolution, which is also discussed with the origin of human linguistic abilities. One of the final chapters addresses the merging of information technology and biotechnology into a new discipline — bioinformation technology.This third edition has been updated to reflect the latest scientific and technological advances. Professor Avery makes use of the perspectives of famous scholars such as Professor Noam Chomsky and Nobel Laureates John O'Keefe, May-Britt Moser and Edward Moser to cast light on the evolution of human languages. The mechanism of cell differentiation, and the rapid acceleration of information technology in the 21st century are also discussed.With various research disciplines becoming increasingly interrelated today, Information Theory and Evolution provides nuance to the conversation between bioinformatics, information technology, and pertinent social-political issues. This book is a welcome voice in working on the future challenges that humanity will face as a result of scientific and technological progress.
Advanced AI Techniques and Applications in Bioinformatics by Loveleen Gaur,Arun Solanki,Samuel Fosso Wamba,Noor Zaman Jhanjhi Pdf
The advanced AI techniques are essential for resolving various problematic aspects emerging in the field of bioinformatics. This book covers the recent approaches in artificial intelligence and machine learning methods and their applications in Genome and Gene editing, cancer drug discovery classification, and the protein folding algorithms among others. Deep learning, which is widely used in image processing, is also applicable in bioinformatics as one of the most popular artificial intelligence approaches. The wide range of applications discussed in this book are an indispensable resource for computer scientists, engineers, biologists, mathematicians, physicians, and medical informaticists. Features: Focusses on the cross-disciplinary relation between computer science and biology and the role of machine learning methods in resolving complex problems in bioinformatics Provides a comprehensive and balanced blend of topics and applications using various advanced algorithms Presents cutting-edge research methodologies in the area of AI methods when applied to bioinformatics and innovative solutions Discusses the AI/ML techniques, their use, and their potential for use in common and future bioinformatics applications Includes recent achievements in AI and bioinformatics contributed by a global team of researchers
Emerging Technologies for Computing, Communication and Smart Cities by Pradeep Kumar Singh,Maheshkumar H. Kolekar,Sudeep Tanwar,Sławomir T. Wierzchoń,Raj K. Bhatnagar Pdf
This book presents best selected papers presented at the Second International Conference on Emerging Technologies for Computing, Communication and Smart Cities (ETCCS 2021) held on 21-22 August 2021 at BFCET, Punjab, India. IEI India members supported externally. It is co-organized by Southern Federal University, Russia; University of Jan Wyżykowski (UJW), Polkowice, Poland, SD College of Engineering & Technology, Muzaffarnagar Nagar, India as an academic partner and CSI, India for technical support. The book includes current research works in the areas of network and computing technologies, wireless networks and Internet of things (IoT), futuristic computing technologies, communication technologies, security and privacy.