Bio Inspired Optimization In Fog And Edge Computing Environments

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Bio-Inspired Optimization in Fog and Edge Computing Environments

Punit Gupta,Dinesh Kumar Saini,Pradeep Rawat,Kashif Zia
Bio Inspired Optimization in Fog and Edge Computing Environments Book PDF

Author : Punit Gupta,Dinesh Kumar Saini,Pradeep Rawat,Kashif Zia
Publisher : CRC Press
Page : 269 pages
File Size : 49,7 Mb
Release : 2023-01-20
Category : Computers
ISBN : 9781000811513

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Bio-Inspired Optimization in Fog and Edge Computing Environments by Punit Gupta,Dinesh Kumar Saini,Pradeep Rawat,Kashif Zia Pdf

A new era of complexity science is emerging, in which nature- and bio-inspired principles are being applied to provide solutions. At the same time, the complexity of systems is increasing due to such models like the Internet of Things (IoT) and fog computing. Will complexity science, applying the principles of nature, be able to tackle the challenges posed by highly complex networked systems? Bio-Inspired Optimization in Fog and Edge Computing: Principles, Algorithms, and Systems is an attempt to answer this question. It presents innovative, bio-inspired solutions for fog and edge computing and highlights the role of machine learning and informatics. Nature- or biological-inspired techniques are successful tools to understand and analyze a collective behavior. As this book demonstrates, algorithms, and mechanisms of self-organization of complex natural systems have been used to solve optimization problems, particularly in complex systems that are adaptive, ever-evolving, and distributed in nature. The chapters look at ways of enhancingto enhance the performance of fog networks in real-world applications using nature-based optimization techniques. They discuss challenges and provide solutions to the concerns of security, privacy, and power consumption in cloud data center nodes and fog computing networks. The book also examines how: The existing fog and edge architecture is used to provide solutions to future challenges. A geographical information system (GIS) can be used with fog computing to help users in an urban region access prime healthcare. An optimization framework helps in cloud resource management. Fog computing can improve the quality, quantity, long-term viability, and cost-effectiveness in agricultural production. Virtualization can support fog computing, increase resources to be allocated, and be applied to different network layers. The combination of fog computing and IoT or cloud computing can help healthcare workers predict and analyze diseases in patients.

Soft Computing Principles and Integration for Real-Time Service-Oriented Computing

Punit Gupta,Dinesh Kumar Saini,Kashif Zia
Soft Computing Principles and Integration for Real Time Service Oriented Computing Book PDF

Author : Punit Gupta,Dinesh Kumar Saini,Kashif Zia
Publisher : CRC Press
Page : 253 pages
File Size : 51,7 Mb
Release : 2024-03-22
Category : Computers
ISBN : 9781003859031

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Soft Computing Principles and Integration for Real-Time Service-Oriented Computing by Punit Gupta,Dinesh Kumar Saini,Kashif Zia Pdf

In recent years, soft computing techniques have emerged as a successful tool to understand and analyze the collective behavior of service- oriented computing software. Algorithms and mechanisms of self- organization of complex natural systems have been used to solve problems, particularly in complex systems, which are adaptive, ever- evolving, and distributed in nature across the globe. What fits more perfectly into this scenario other than the rapidly developing era of Fog, IoT, and Edge computing environment? Service- oriented computing can be enhanced with soft computing techniques embedded inside the Cloud, Fog, and IoT systems. Soft Computing Principles and Integration for Real-Time Service-Oriented Computing explores soft computing techniques that have wide application in interdisciplinary areas. These soft computing techniques provide an optimal solution to the optimization problem using single or multiple objectives.The book focuses on basic design principles and analysis of soft computing techniques. It discusses how soft computing techniques can be used to improve quality-of-service in serviceoriented architectures. The book also covers applications and integration of soft computing techniques with a service- oriented computing paradigm. Highlights of the book include: A general introduction to soft computing An extensive literature study of soft computing techniques and emerging trends Soft computing techniques based on the principles of artificial intelligence, fuzzy logic, and neural networks The implementation of SOC with a focus on service composition and orchestration, quality of service (QoS) considerations, security and privacy concerns, governance challenges, and the integration of legacy systems The applications of soft computing in adaptive service composition, intelligent service recommendation, fault detection and diagnosis, SLA management, and security Such principles underlying SOC as loose coupling, reusability, interoperability, and abstraction An IoT based framework for real time data collection and analysis using soft computing

Smart Technologies in Healthcare Management

Nidhi Sindhwani,Sarvesh Tanwar,Ajay Rana,Ramani Kannan
Smart Technologies in Healthcare Management Book PDF

Author : Nidhi Sindhwani,Sarvesh Tanwar,Ajay Rana,Ramani Kannan
Publisher : CRC Press
Page : 229 pages
File Size : 40,7 Mb
Release : 2024-06-28
Category : Business & Economics
ISBN : 9781040030202

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Smart Technologies in Healthcare Management by Nidhi Sindhwani,Sarvesh Tanwar,Ajay Rana,Ramani Kannan Pdf

Offering a holistic view of the pioneering trends and innovations in smart healthcare management, this book focuses on the methodologies, frameworks, design issues, tools, architectures, and technologies necessary to develop and understand intelligent healthcare systems and emerging applications in the present era. Smart Technologies in Healthcare Management: Pioneering Trends and Applications provides an overview of various technical and innovative aspects, challenges, and issues in smart healthcare, along with recent and novel findings. It highlights the latest advancements and applications in the field of intelligent systems and explores the importance of cloud computing and the design of sensors in an IoT system. The book offers algorithms and a framework with models in machine learning and AI for smart healthcare management. A detailed flow chart and innovative and modified methodologies related to intelligent computing in healthcare are discussed, as well as real-world-based examples so that readers can compare technical concepts with daily life concepts. This book will be a useful reference for academicians and the healthcare industry, along with professionals interested in exploring innovations in varied applicational areas of AI, IoT, and machine learning. Researchers, startup companies, and entrepreneurs will also find this book of interest.

Handbook of Security and Privacy of AI-Enabled Healthcare Systems and Internet of Medical Things

Agbotiname Lucky Imoize,Valentina Emilia Balas,Vijender Kumar Solanki,Cheng-Chi Lee,Mohammad S. Obaidat
Handbook of Security and Privacy of AI Enabled Healthcare Systems and Internet of Medical Things Book PDF

Author : Agbotiname Lucky Imoize,Valentina Emilia Balas,Vijender Kumar Solanki,Cheng-Chi Lee,Mohammad S. Obaidat
Publisher : CRC Press
Page : 508 pages
File Size : 48,7 Mb
Release : 2023-10-25
Category : Computers
ISBN : 9781000963182

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Handbook of Security and Privacy of AI-Enabled Healthcare Systems and Internet of Medical Things by Agbotiname Lucky Imoize,Valentina Emilia Balas,Vijender Kumar Solanki,Cheng-Chi Lee,Mohammad S. Obaidat Pdf

The fast-growing number of patients suffering from various ailments has overstretched the carrying capacity of traditional healthcare systems. This handbook addresses the increased need to tackle security issues and preserve patients’ privacy concerns in Artificial Intelligence of Medical Things (AIoMT) devices and systems. Handbook of Security and Privacy of AI-Enabled Healthcare Systems and the Internet of Medical Things provides new insights into the deployment, application, management, and benefits of AIoMT by examining real-world scenarios. The handbook takes a critical look at existing security designs and offers solutions to revamp traditional security architecture, including the new design of effi cient intrusion detection algorithms, attack prevention techniques, and both cryptographic and noncryptographic solutions. The handbook goes on to discuss the critical security and privacy issues that affect all parties in the healthcare ecosystem and provides practical AI-based solutions. This handbook offers new and valuable information that will be highly beneficial to educators, researchers, and others.

Using Machine Learning to Detect Emotions and Predict Human Psychology

Rai, Mritunjay,Pandey, Jay Kumar
Using Machine Learning to Detect Emotions and Predict Human Psychology Book PDF

Author : Rai, Mritunjay,Pandey, Jay Kumar
Publisher : IGI Global
Page : 332 pages
File Size : 48,7 Mb
Release : 2024-02-26
Category : Psychology
ISBN : 9798369319116

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Using Machine Learning to Detect Emotions and Predict Human Psychology by Rai, Mritunjay,Pandey, Jay Kumar Pdf

In the realm of analyzing human emotions through Artificial Intelligence (AI), a myriad of challenges persist. From the intricate nuances of emotional subtleties to the broader concerns of ethical considerations, privacy implications, and the ongoing battle against bias, AI faces a complex landscape when venturing into the understanding of human emotions. These challenges underscore the intricate balance required to navigate the human psyche with accuracy. The book, Using Machine Learning to Detect Emotions and Predict Human Psychology, serves as a guide for innovative solutions in the field of emotion detection through AI. It explores facial expression analysis, where AI decodes real-time emotions through subtle cues such as eyebrow movements and micro-expressions. In speech and voice analysis, the book unveils how AI processes vocal nuances to discern emotions, considering elements like tone, pitch, and language intricacies. Additionally, the power of text analysis is of great importance, revealing how AI extracts emotional tones from diverse textual communications. By weaving these systems together, the book offers a holistic solution to the challenges faced by AI in understanding the complex landscape of human emotions.

Nature-Inspired Optimization Algorithms

Aditya Khamparia,Ashish Khanna,Nhu Gia Nguyen,Bao Le Nguyen
Nature Inspired Optimization Algorithms Book PDF

Author : Aditya Khamparia,Ashish Khanna,Nhu Gia Nguyen,Bao Le Nguyen
Publisher : Walter de Gruyter GmbH & Co KG
Page : 201 pages
File Size : 52,8 Mb
Release : 2021-02-08
Category : Computers
ISBN : 9783110676150

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Nature-Inspired Optimization Algorithms by Aditya Khamparia,Ashish Khanna,Nhu Gia Nguyen,Bao Le Nguyen Pdf

This book will focus on the involvement of data mining and intelligent computing methods for recent advances in Biomedical applications and algorithms of nature-inspired computing for Biomedical systems. The proposed meta heuristic or nature-inspired techniques should be an enhanced, hybrid, adaptive or improved version of basic algorithms in terms of performance and convergence metrics. In this exciting and emerging interdisciplinary area a wide range of theory and methodologies are being investigated and developed to tackle complex and challenging problems. Today, analysis and processing of data is one of big focuses among researchers community and information society. Due to evolution and knowledge discovery of natural computing, related meta heuristic or bio-inspired algorithms have gained increasing popularity in the recent decade because of their significant potential to tackle computationally intractable optimization dilemma in medical, engineering, military, space and industry fields. The main reason behind the success rate of nature inspired algorithms is their capability to solve problems. The nature inspired optimization techniques provide adaptive computational tools for the complex optimization problems and diversified engineering applications. Tentative Table of Contents/Topic Coverage: - Neural Computation - Evolutionary Computing Methods - Neuroscience driven AI Inspired Algorithms - Biological System based algorithms - Hybrid and Intelligent Computing Algorithms - Application of Natural Computing - Review and State of art analysis of Optimization algorithms - Molecular and Quantum computing applications - Swarm Intelligence - Population based algorithm and other optimizations

Recent Trends in Computational Intelligence Enabled Research

Siddhartha Bhattacharyya,Paramartha Dutta,Debabrata Samanta,Anirban Mukherjee,Indrajit Pan
Recent Trends in Computational Intelligence Enabled Research Book PDF

Author : Siddhartha Bhattacharyya,Paramartha Dutta,Debabrata Samanta,Anirban Mukherjee,Indrajit Pan
Publisher : Academic Press
Page : 420 pages
File Size : 47,7 Mb
Release : 2021-07-31
Category : Computers
ISBN : 9780323851794

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Recent Trends in Computational Intelligence Enabled Research by Siddhartha Bhattacharyya,Paramartha Dutta,Debabrata Samanta,Anirban Mukherjee,Indrajit Pan Pdf

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

Bio-Inspired Computing for Information Retrieval Applications

Acharjya, D.P.,Mitra, Anirban
Bio Inspired Computing for Information Retrieval Applications Book PDF

Author : Acharjya, D.P.,Mitra, Anirban
Publisher : IGI Global
Page : 388 pages
File Size : 47,7 Mb
Release : 2017-02-14
Category : Computers
ISBN : 9781522523765

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Bio-Inspired Computing for Information Retrieval Applications by Acharjya, D.P.,Mitra, Anirban Pdf

The growing presence of biologically-inspired processing has caused significant changes in data retrieval. With the ubiquity of these technologies, more effective and streamlined data processing techniques are available. Bio-Inspired Computing for Information Retrieval Applications is a key resource on the latest advances and research regarding current techniques that have evolved from biologically-inspired processes and its application to a variety of problems. Highlighting multidisciplinary studies on data processing, swarm-based clustering, and evolutionary computation, this publication is an ideal reference source for researchers, academics, professionals, students, and practitioners.

Proceedings of the Fifth International Scientific Conference “Intelligent Information Technologies for Industry” (IITI’21)

Sergey Kovalev,Valery Tarassov,Vaclav Snasel,Andrey Sukhanov
Proceedings of the Fifth International Scientific Conference Intelligent Information Technologies for Industry IITI 21 Book PDF

Author : Sergey Kovalev,Valery Tarassov,Vaclav Snasel,Andrey Sukhanov
Publisher : Springer Nature
Page : 716 pages
File Size : 45,6 Mb
Release : 2021-09-15
Category : Technology & Engineering
ISBN : 9783030871789

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Proceedings of the Fifth International Scientific Conference “Intelligent Information Technologies for Industry” (IITI’21) by Sergey Kovalev,Valery Tarassov,Vaclav Snasel,Andrey Sukhanov Pdf

This book presents key advances in intelligent information technologies for industry. This book of Lecture Notes in Networks and Systems contains the papers presented in the main track of IITI 2021, the Fifth International Scientific Conference on Intelligent Information Technologies for Industry held on September 30 – October 4, 2021 in Sirius, Russia. The conference was jointly co-organized by Rostov State Transport University (Russia) and VŠB–Technical University of Ostrava (Czech Republic) with the participation of Russian Association for Artificial Intelligence (RAAI) and Sirius University (Russia). IITI 2021 was devoted to practical models and industrial applications related to intelligent information systems. It was considered as a meeting point for researchers and practitioners to enable the implementation of advanced information technologies into various industries. Nevertheless, some theoretical talks concerning the state of the art in intelligent systems and soft computing were also included into proceedings. There were 180 paper submissions from 14 countries. Each submission was reviewed by at least three chairs or PC members. We accepted 69 regular papers (38\%). Unfortunately, due to limitations of conference topics and edited volumes, the Program Committee was forced to reject some interesting papers, which did not satisfy these topics or publisher requirements. We would like to thank all authors and reviewers for their work and valuable contributions. The friendly and welcoming attitude of conference supporters and contributors made this event a success!

Bio-Inspired Optimization Techniques in Blockchain Systems

Vignesh, U.,M., Manikandan,Doshi, Ruchi
Bio Inspired Optimization Techniques in Blockchain Systems Book PDF

Author : Vignesh, U.,M., Manikandan,Doshi, Ruchi
Publisher : IGI Global
Page : 306 pages
File Size : 50,7 Mb
Release : 2024-01-29
Category : Computers
ISBN : 9798369311325

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Bio-Inspired Optimization Techniques in Blockchain Systems by Vignesh, U.,M., Manikandan,Doshi, Ruchi Pdf

In the dynamic landscape of bioinformatics and blockchain technology, a profound challenge is evident: ensuring secure exchange and analysis of complex biological data while maintaining data integrity and ownership. Traditional methods fall short in seamlessly transferring genomic data, spurring the fusion of blockchain innovation and optimization algorithms as a groundbreaking solution. Biology-Inspired Optimization Techniques in Blockchain Systems directly addresses the data integrity and ownership dilemma in bioinformatics and blockchain. Despite the intricacies of genomic data, blockchain's potential solution faces obstacles like data volume and slow transactions. These challenges are adeptly overcome through optimization algorithms. The book, authored by experts in bioinformatics, blockchain, and optimization, offers a comprehensive guide, showcasing how blockchain architecture and biological data intricacies can harmonize. It provides a blueprint for using blockchain to store genomic variants and aligned reads. This work empowers developers, data scientists, and researchers to overcome technological barriers, redefining the landscape of bioinformatics and beyond.

Services – SERVICES 2019

Yunni Xia,Liang-Jie Zhang
Services SERVICES 2019 Book PDF

Author : Yunni Xia,Liang-Jie Zhang
Publisher : Springer
Page : 158 pages
File Size : 55,6 Mb
Release : 2019-06-18
Category : Computers
ISBN : 9783030233815

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Services – SERVICES 2019 by Yunni Xia,Liang-Jie Zhang Pdf

This book constitutes the refereed proceedings of the 15th World Congress on Services, SERVICES 2019, held as part of the Services Conference Federation, SCF 2019, in San Diego, USA, in June 2019. The 11 full papers and 2 short papers presented were carefully reviewed and selected from 14 submissions. The papers cover topics in the field of software engineering foundations and applications with a focus on novel approaches for engineering requirements, design and architectures, testing, maintenance and evolution, model-driven development, software processes, metrics, quality assurance and new software economics models, search-based software engineering, benefiting day-to-day services sectors and derived through experiences, with appreciation to scale, pragmatism, transparency, compliance and/or dependability.

Intelligent Decision Making Through Bio-Inspired Optimization

Jaganathan, Ramkumar,Mehta, Shilpa,Krishan, Ram
Intelligent Decision Making Through Bio Inspired Optimization Book PDF

Author : Jaganathan, Ramkumar,Mehta, Shilpa,Krishan, Ram
Publisher : IGI Global
Page : 291 pages
File Size : 47,5 Mb
Release : 2024-04-15
Category : Business & Economics
ISBN : 9798369320747

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Intelligent Decision Making Through Bio-Inspired Optimization by Jaganathan, Ramkumar,Mehta, Shilpa,Krishan, Ram Pdf

Academic scholars, entrenched in the complexities of various domains, face the daunting task of navigating intricate decision-making scenarios. The prevailing need for efficient and effective decision-making tools becomes increasingly apparent as traditional methodologies struggle to keep pace with the demands of modern research and industry. This pivotal issue necessitates a shift, urging scholars to explore unconventional approaches that can transcend disciplinary boundaries and unlock new dimensions of problem-solving. In response to these pressing challenges, Intelligent Decision Making Through Bio-Inspired Optimization emerges as a beacon of ingenuity. This groundbreaking book transcends usual disciplinary boundaries, seamlessly integrating computer science, artificial intelligence, optimization, and decision science. Its multidisciplinary approach addresses the inherent complexities faced by scholars, offering a comprehensive exploration of nature-inspired algorithms such as genetic algorithms, swarm intelligence, and evolutionary strategies. The book's core mission is to empower academic scholars with the tools to overcome contemporary decision-making hurdles, providing a holistic understanding of these bio-inspired approaches and their potential to revolutionize the scholarly landscape.

Artificial Intelligence for Intrusion Detection Systems

Mayank Swarnkar,Shyam Singh Rajput
Artificial Intelligence for Intrusion Detection Systems Book PDF

Author : Mayank Swarnkar,Shyam Singh Rajput
Publisher : CRC Press
Page : 241 pages
File Size : 48,8 Mb
Release : 2023-10-11
Category : Computers
ISBN : 9781000967586

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Artificial Intelligence for Intrusion Detection Systems by Mayank Swarnkar,Shyam Singh Rajput Pdf

This book is associated with the cybersecurity issues and provides a wide view of the novel cyber attacks and the defense mechanisms, especially AI-based Intrusion Detection Systems (IDS). Features: • A systematic overview of the state-of-the-art IDS • Proper explanation of novel cyber attacks which are much different from classical cyber attacks • Proper and in-depth discussion of AI in the field of cybersecurity • Introduction to design and architecture of novel AI-based IDS with a trans- parent view of real-time implementations • Covers a wide variety of AI-based cyber defense mechanisms, especially in the field of network-based attacks, IoT-based attacks, multimedia attacks, and blockchain attacks. This book serves as a reference book for scientific investigators who need to analyze IDS, as well as researchers developing methodologies in this field. It may also be used as a textbook for a graduate-level course on information security.

Bio-Inspired Computing and Networking

Yang Xiao
Bio Inspired Computing and Networking Book PDF

Author : Yang Xiao
Publisher : CRC Press
Page : 552 pages
File Size : 52,5 Mb
Release : 2016-04-19
Category : Computers
ISBN : 9781420080339

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Bio-Inspired Computing and Networking by Yang Xiao Pdf

Seeking new methods to satisfy increasing communication demands, researchers continue to find inspiration from the complex systems found in nature. From ant-inspired allocation to a swarm algorithm derived from honeybees, Bio-Inspired Computing and Networking explains how the study of biological systems can significantly improve computing, networki

Mobile Edge Computing

Anwesha Mukherjee,Debashis De,Soumya K. Ghosh,Rajkumar Buyya
Mobile Edge Computing Book PDF

Author : Anwesha Mukherjee,Debashis De,Soumya K. Ghosh,Rajkumar Buyya
Publisher : Springer Nature
Page : 598 pages
File Size : 44,8 Mb
Release : 2021-11-18
Category : Computers
ISBN : 9783030698935

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Mobile Edge Computing by Anwesha Mukherjee,Debashis De,Soumya K. Ghosh,Rajkumar Buyya Pdf

Mobile Edge Computing (MEC) provides cloud-like subscription-oriented services at the edge of mobile network. For low latency and high bandwidth services, edge computing assisted IoT (Internet of Things) has become the pillar for the development of smart environments and their applications such as smart home, smart health, smart traffic management, smart agriculture, and smart city. This book covers the fundamental concept of the MEC and its real-time applications. The book content is organized into three parts: Part A covers the architecture and working model of MEC, Part B focuses on the systems, platforms, services and issues of MEC, and Part C emphases on various applications of MEC. This book is targeted for graduate students, researchers, developers, and service providers interested in learning about the state-of-the-art in MEC technologies, innovative applications, and future research directions.