Описание: Deceptively powerful and stunningly beautiful, this monumental leap forward in conveying information effectively has always been right there in front of us, waiting to be unlocked, hiding in plain sight. All it took was the convergence of human ingenuity, artificial intelligence, and the rise of a medium capable of magic.
Описание: This book constitutes the refereed proceedings of the Second International Conference on Futuristic Trends in Network and Communication Technologies, FTNCT 2019, held in Chandigarh, India, in November 2019. The 49 revised full papers and 6 short papers presented were carefully reviewed and selected from 226 submissions.
Автор: Pradeep Kumar Singh; Marcin Paprzycki; Bharat Bhar Название: Futuristic Trends in Network and Communication Technologies ISBN: 9811338035 ISBN-13(EAN): 9789811338038 Издательство: Springer Рейтинг: Цена: 13974.00 р. Наличие на складе: Поставка под заказ.
Описание: This book constitutes the refereed proceedings of the First International Conference on Futuristic Trends in Network and Communication Technologies, FTNCT 2018, held in Solan, India, in February 2018.The 37 revised full papers presented were carefully reviewed and selected from 239 submissions. The prime aim of the conference is to invite researchers from different domains of network and communication technologies to a single platform to showcase their research ideas. The selected papers are organized in topical sections on communication technologies, Internet of Things (IoT), network technologies, and wireless networks.
Описание: This two-wolume set (CCIS 1395-1396) constitutes the refereed proceedings of the Third International Conference on Futuristic Trends in Network and Communication Technologies, FTNCT 2020, held in Taganrog, Russia, in October 2020.The 80 revised full papers presented were carefully reviewed and selected from 291 submissions.
Описание: This two-wolume set (CCIS 1395-1396) constitutes the refereed proceedings of the Third International Conference on Futuristic Trends in Network and Communication Technologies, FTNCT 2020, held in Taganrog, Russia, in October 2020.The 80 revised papers presented were carefully reviewed and selected from 291 submissions.
Автор: Sahni Название: Novel Developments in Futuristic AI-based Technologies ISBN: 9819930758 ISBN-13(EAN): 9789819930753 Издательство: Springer Рейтинг: Цена: 25155.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: The book offers many ideas based on the artificial intelligence techniques, fueled by digital technologies that can be implemented in human lives to make them smarter and more intelligent to survive in this rapidly changing world. This book contains diverse applications based on intelligence systems, such as in the development of innovative digital technologies based on cloud-based infrastructure, agriculture supply-chain management, technology that enables the visually impaired to live more comfortably and confidently in their daily lives. It contains new techniques of encryption and decryption, development of various decision-making systems, artificial intelligence techniques in medical areas, etc. This book addresses newly developed technologies and key ideas for new theory which can be used in the development of more advanced and intelligent world for better future.
Автор: Thakur Название: Emerging ICT Technologies and Cybersecurity ISBN: 3031277643 ISBN-13(EAN): 9783031277641 Издательство: Springer Рейтинг: Цена: 9083.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book introduces some fundamentals of information and communication technology (ICT) and other current and future technologies that are relevant to the field of cybersecurity. In a digitally connected world, cybersecurity is one of the most important issues today. We have witnessed tremendous advancements over the last two decades in various fields of networking, connectivity, electronics, and the technologies that make use of those platforms and devices. Many emerging technologies are also showing promise for future use in the cybersecurity area. Hence, it is important to understand some basics of the technologies and concepts that are making their impacts today and those which may show stronger influence in the near future. The book begins with an introduction to ICT and its advancements, then talks about Artificial Intelligence (AI), Machine Learning (ML), and Blockchain Technologies. It then goes on to cover wireless technology, Internet of Things (IoT), Distributed Cloud Computing, Quantum Computing, Virtual Reality, and other futuristic technologies that would be directly related to Cyberspace and Cybersecurity. This textbook is written in a step-by-step manner, with easily accessible information for both general readers and experts in the field. It is suitable to be used as a textbook for undergraduate and graduate courses like Computer Networks and Security, Information Security, etc.
Автор: Yampolskiy, Roman V. Название: Artificial Superintelligence ISBN: 1482234432 ISBN-13(EAN): 9781482234435 Издательство: Taylor&Francis Рейтинг: Цена: 5664.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Автор: Abu Bakar Abdul Hamid, Madhu Sharma Gaur, Noor Inayah Binti Ya`akub, Rajeev Kumar, Sanjeev Kumar Название: Futuristic E-Governance Security with Deep Learning Applications ISBN: 1668495961 ISBN-13(EAN): 9781668495964 Издательство: Mare Nostrum (Eurospan) Рейтинг: Цена: 42966.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: In today's rapidly advancing digital world, governments are increasingly relying on technology to enhance security systems and streamline governance. However, this growing reliance on digital platforms and data collection also presents significant challenges. Cybersecurity threats and privacy concerns pose large risks to sensitive information and can potentially leading to inaccuracies or breaches within deep learning models. There is a pressing need for comprehensive solutions that address these security issues and protect valuable data in the realm of e-governance. Futuristic e-Governance Security With Deep Learning Applications is a timely and indispensable resource that offers a holistic approach to tackling the security challenges of the digital era. The book presents a global perspective on the integration of intelligent systems with cybersecurity applications, highlighting cutting-edge techniques and methodologies to safeguard deep learning models from security attacks and privacy vulnerabilities. By exploring the latest advances and countermeasures in deep learning, this book equips scholars, researchers, and industry experts with the knowledge and tools they need to address security concerns and develop robust e-governance systems. This comprehensive volume not only sheds light on the current state-of-the-art methods but also delves into future trends and challenges. From skill development and tools for intelligence systems to deep learning, machine learning, blockchain, IoT, and cloud computing, the book covers a wide range of topics essential to understanding and implementing secure e-governance systems. With its practical insights and interdisciplinary approach, this book serves as a vital resource for academics, researchers, and professionals seeking to navigate the complex landscape of e-governance security and leverage deep learning applications to protect valuable data and ensure the smooth functioning of government operations.
Chapter 1. Medical Image Fusion in Curvelet Domain Employing PCA and Maximum Selection Rule.- Chapter 2. Gigabit Network Intrusion Detection System Using Extended Bloom Filter in Reconfigurable Hardware.- Chapter 3. Hash Based Rule Mining Algorithm in Data-Intensive Homogeneous Cloud Environment.- Chapter 4. Privacy Preservation in Distributed Environment Using RSA-CRT.- Chapter 5. Priority Based Classification: An Automated Traffic Approach.- Chapter 6. A Taxonomy of Software's Non-Functional Requirements.- Chapter 7. Segmentation of the Human Corpus Callosum Variability from T1 Weighted MRI of Brain.- Chapter 8. Analysis of Organic Molecular Single Electron Transistor Using C4H6B2 with different Metal Electrodes.- Chapter 9. Analysis of Molecular Single Electron TransistorsUsing Silicene, Graphene And Germanene.- Chapter 10. Identification of the Plants Based on Leaf Shape Descriptors.- Chapter 11. Use of Global Positioning System to Track Movement of Mobile Node in Proxy Mobile Internet Protocol version 6.- Chapter 12. Is Mobile Cloud Computing Efficient for E-Learning?.- Chapter 13. A Comparative analysis of different Social Network Parameters Derived from Facebook Profiles.- Chapter 14. A Fast and Hardware Efficient Visual Cryptography Scheme for Images.- Chapter 15. Energy Efficient Modified Bellman Ford Algorithm for Grid and Random Network Topologies.- Chapter 16. Text Dependent vs. Text Independent Speech Emotion Recognition.- Chapter 17. A Novel Approach for Speaker Recognition by Using Wavelet Analysis and Support Vector Machines.- Chapter 18. Real Time Surveillance for Critical Activity Detection in ICU's.- Chapter 19. High Speed Network Intrusion Detection System Using FPGA.- Chapter 20. Hawk Eye: A Plagiarism Detection System.- Chapter 21. A Novel Action Descriptor to Recognize Actions from
Surveillance Videos.- Chapter 22. Protecting the Augmented Browser Extension from Mutation Cross-site Scripting.- Chapter 23. Large Scale Data Management System Using Data De-duplication System.- Chapter 24. Movement detection Using LabVIEW by Analysis of Real Time Video.- Chapter 25. Connectivity Model for Molecular Communication Based Nano Machines Network in Normal and Sub-diffusive Regimes.- Chapter 26. Application of Locally Weighted Regression for Predicting Faults Using Software Entropy Metrics.- Chapter 27. Effect of Defects on Current-Voltage Characteristics of a Silicene ZNR Based Field Effect Transistor.- Chapter 28. Performance Improvement of Read Operations in Distributed File System through Anticipated Parallel Processing.- Chapter 29. Steerable Texture Descriptor for an Effective Content Based Medical Image Retrieval System Using PCA.- Chapter 30. A Novel Multi-View Similarity for Clustering Spatio-Temporal Data.- Chapter 31. WRSP-Miner Algorithm for Mining Weighted Sequential Patterns from Spatio-Temporal Databases.- Chapter 32. Performance Analysis in Free Space Optical Communication System Using Aperture Averaging.- Chapter 33. Performance Evaluation of Free Space Optical Link Under Various Weather Conditions.- Chapter 34. Evolutionary Improved Swarm Based Hybrid K-means Algorithm for Cluster Analysis.- Chapter 35. Analysis of Energy Efficient, LEACH Based Cooperative Wireless Sensor Network.- Chapter 36. A Monotonic Digitally Controlled Delay Element Based Programmable Trigger Pulse Generator.- Chapter 37. Layered-Encoding Video Multicasting IPTV over Mobile WiMAX Networks.- Chapter 38. Intuitionistic Fuzzy Similarity and Information Measures with Physical Education Teaching Quality Assessment.- Chapter 39. Molecular Level Insight into the Interactions of SoxC and SoxD from Epsilonproteobacteria Sulfurimonas Denitri
Chapter 1. Human Gait Recognition Using Gait Flow Image and Extension Neural Network.- Chapter 2. Enhanced Topology Preserving Maps for Wireless Sensor Network through D-VCS.- Chapter 3. Real-time Processing and Analysis for Activity Classification to Enhance Wearable Wireless ECG.- Chapter 4. Adaptive Video Quality Throttling Based on Network Bandwidth for Virtual Classroom Systems.- Chapter 5. Efficiency-Fairness Trade-Off Approaches For Resource Allocation In Cooperative Wireless Network.- Chapter 6. An Enhanced Security Pattern for Wireless Sensor Network.- Chapter 7. Honey Pot: A Major Technique for Intrusion Detection.- Chapter 8. Computational Intelligence Based Parameterization on Force Filed Modeling for Silicon Cluster Using ASBO.- Chapter 9. Natural Language Based Self Learning Feedback Analysis System.- Chapter 10. Adaptive Filter Design for Extraction of Fetus ECG Signal.- Chapter 11. Improving Query Processing Performance Using Optimization Techniques for Object Oriented DBMS.- Chapter 12. Linear and Non Linear Buckling Testing on Aluminium Structures.- Chapter 13. A Performance Analysis of Open Stack Open-source Solution for IaaS Cloud Computing.- Chapter 14. The Application of Sub-pattern Approach in 2D Shape Recognition and Retrieval.- Chapter 15. A Data Driven Approach for the Option Pricing Algorithm.- Chapter 16. Moderator Intuitionistic Fuzzy Sets and Application in Medical Diagnosis.- Chapter 17. An Empirical Comparative Study of Novel Clustering algorithms for Class Imbalance Learning.- Chapter 18. Augmenting Women's Safety-In-Numbers in Railway Carriages with Wireless Sensor Networks.- Chapter 19. Analysis of Student Feedback by Ranking the Polarities.- Chapter 20. Seizure Onset Detection by Analyzing Long Duration EEG Signals.- Chapter 21. Enhancing the Performance of MapReduce Default Scheduler by Detecting Prolonged TaskTrackers in Heterogeneous Environments.- Chapter 22. Prototype of a Coconut Harvesting Robot with Visual Feedback.- Chapter 23. Suppression of Impulse Noise in Digital Images Using Hermite Interpolation.- Chapter 24. Wireless Personal Area Network and PSO Based Home Security System.- Chapter 25. A Framework for Ranking Reviews Using Ranked Voting Method.- Chapter 26. Multilevel Thresholding Segmentation Approach Based on Spider Monkey Optimization Algorithm.- Chapter 27. Dynamic Multiuser Scheduling with Interference Mitigation in SC-FDMA Based Communication Systems.- Chapter 28. Design of Proportional-Integral-Derivative Controller Using Stochastic Particle Swarm Optimization Technique for single Area AGC including SMES and RFB units.- Chapter 29. A Enhanced Microstrip Antenna Using Metamaterial at 2.4 GHz.- Chapter 30. Adaptive MAC for Bursty Traffic in Wireless Sensor Networks.- Chapter 31. Secured Authentication and Signature Routing Protocol for WMN (SASR).- Chapter 32. A Minimal Subset of Features Using Correlation Feature Selection Model for Intrusion Detection System.- Chapter 33. Analysis of Single Layered Multiple Aperture Shield for Better Shield Effectiveness.- Chapter 34. MRI Classification of Parkinson's Disease Using SVM and Texture Features.- Chapter 35. Variational Mode Feature Based Hyperspectral Image Classification.- Chapter 36. Implementation Of Fuzzy Based Robotic Path Planning.- Chapter 37. Texture Segmentation by a New Variant of Local Binary Pattern.- Chapter 38. Integrating Writing Direction and Handwriting Letter Recognition in Touch Enabled Devices.- Chapter 39. A New Approach for Single Text Document Summarization.- Chapter 40. Analysis, Classification and Estimation of Pattern for Land of Aurangabad Region Using High Resolution Satellite Image.- Chapter 41.
Автор: Mahmood Название: Fog Computing ISBN: 331994889X ISBN-13(EAN): 9783319948898 Издательство: Springer Рейтинг: Цена: 13974.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This authoritative text/reference describes the state of the art of fog computing, presenting insights from an international selection of renowned experts. A particular focus is provided on development approaches, architectural mechanisms, and measurement metrics for building smart adaptable environments. The coverage also includes important related topics such as device connectivity, security and interoperability, and communication methods.Topics and features: introduces the core concepts and principles of fog computing, and reviews the latest research and best practice relating to fog/edge environments; discusses the vision for an Internet of Things (IoT) in terms of fog computing and other related distributed computing paradigms, such as cloud computing; presents a survey of the key issues and broader aspects of the fog paradigm, as well as the factors that affect adoption of fog computing; examines frameworks and methodologies for fog-based architecture design, improving performance, and measuring quality of experience; proposes tools and methodologies for analyzing large amounts of sensor data from smart city initiatives; describes approaches for designing robust services, management of data-intensive applications, context-aware data analysis, and vehicular networking; identifies potential future research directions and technological innovations in relation to distributed computing environments such as the IoT.This enlightening volume offers essential perspectives for researchers of distributed computing and computer networking, as well as for advanced undergraduate and graduate students pursuing interests in this area. Professional engineers seeking to enhance security and connectivity in their IoT systems will also find this work to be a valuable reference.
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