| Description |
1 online resource (452 p.) |
| Contents |
Cover -- Title Page -- Copyright Page -- Contents -- Preface -- Chapter 1 A Comprehensive Study on Cloud Computing and its Security Protocols and Performance Enhancement Using Artificial Intelligence -- 1.1 Introduction -- 1.2 Aim of the Study -- 1.3 Architecture of Cloud Computing -- 1.4 The Impact of Cloud Computing on Business -- 1.5 The Benefits of Cloud Computing on Business -- 1.6 Generic Security Protocol Features -- 1.7 Cloud Computing Security Protocol Design -- 1.7.1 Protocol for File Transfer (FTP) -- 1.7.2 Local User Authentication Protocol (LUAP) -- 1.7.3 Protocol for Consumption |
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1.7.4 Remote User Authentication Protocol -- 1.7.5 Secure Cloud Transmission Protocol -- 1.7.6 Protocol for Cloud Trust -- 1.7.7 Protocol for Secure Single-Sign-On -- 1.7.8 Secure Session Protocol (SSP) -- 1.7.9 Protocol for Authorization -- 1.7.10 Protocol for Key Management -- 1.8 AI Based Cloud Security -- 1.8.1 Event Detection and Prevention -- 1.8.2 Delegate to Automated Technology -- 1.8.3 Machine Learning Algorithms in Cloud Computing -- 1.9 Various Neuronal Network Architectures and Their Types -- 1.10 Conclusion -- Acknowledgement -- References |
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Chapter 2 The Role of Machine Learning and Artificial Intelligence in Detecting the Malicious Use of Cyber Space -- 2.1 Introduction -- 2.2 Aim of the Study -- 2.3 Motivation for the Study -- 2.4 Detecting the Dark Web -- 2.5 Preventing the Dark Web -- 2.6 Recommendations -- 2.7 Conclusion -- Acknowledgement -- References -- Chapter 3 Advanced Rival Combatant LIDAR-Guided Directed Energy Weapon Application System Using Hybrid Machine Learning -- 3.1 Introduction -- 3.2 Aim of the Study -- 3.3 Motivation for the Study -- 3.4 Nature of LASERS -- 3.5 Ongoing Laser Weapon Projects |
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3.6 Directed Energy Weapons (DEWs) -- 3.7 LIDAR Guided LASER Weapon System (LaWS) Requirements -- 3.8 Methodology -- 3.9 Conclusion -- Acknowledgement -- References -- Chapter 4 An Impact on Strategical Advancement and Its Analysis of Training the Autonomous Unmanned Aerial Vehicles in Warfare [Theme -- RPA and Machine Learning] -- 4.1 Introduction -- 4.2 Aim of the Study -- 4.3 Motivation for the Study -- 4.4 Supervised and Unsupervised Machine Learning for UAVs -- 4.4.1 Supervised Learning Overview -- 4.4.2 Overview of Unsupervised Learning |
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4.4.3 Supervised and Unsupervised UAV-Based Solution Problems -- 4.5 Unsupervised Solution -- 4.5.1 Estimation of Channel -- 4.5.2 Detection of UAVs -- 4.5.3 Imaging for Unmanned Aerial Vehicles -- 4.6 Conclusion -- 4.7 Scope for the Future Work -- Acknowledgement -- References -- Chapter 5 FLASH: Web-Form's Logical Analysis & Session Handling Automatic Form Classification and Filling on Surface and Dark Web -- 5.1 Introduction -- 5.2 Literature Review -- 5.2.1 Notable Approaches -- 5.2.1.1 Crawling the Hidden Web -- 5.2.1.2 Google's Deep Web Crawl -- 5.2.1.3 Other Approaches |
| Note |
5.3 How FLASH Offers Better Results |
| Summary |
ROBOTIC PROCESS AUTOMATION Presenting the latest technologies and practices in this ever-changing field, this groundbreaking new volume covers the theoretical challenges and practical solutions for using robotics across a variety of industries, encompassing many disciplines, including mathematics, computer science, electrical engineering, information technology, mechatronics, electronics, bioengineering, and command and software engineering. Robotics is the study of creating devices that can take the place of people and mimic their behaviors. Mechanical engineering, electrical engineering, information engineering, mechatronics, electronics, bioengineering, computer engineering, control engineering, software engineering, mathematics, and other subjects are all included in robotics. Robots can be employed in a variety of scenarios and for a variety of objectives, but many are now being used in hazardous areas (such as radioactive material inspection, bomb detection, and deactivation), manufacturing operations, or in conditions where humans are unable to live (e.g. in space, underwater, in high heat, and clean up and containment of hazardous materials and radiation). Walking, lifting, speaking, cognition, and any other human activity are all attempted by robots. Many of today's robots are influenced by nature, making bio-inspired robotics a growing area. Defusing explosives, seeking survivors in unstable ruins, and investigating mines and shipwrecks are just a few of the activities that robots are designed to undertake. This groundbreaking new volume presents a Robotic Process Automation (RPA) software technique that makes it simple to create, deploy, and manage software robots that mimic human movements while dealing with digital systems and software. Software robots can interpret what's on a screen, type the correct keystrokes, traverse systems, locate and extract data, and do a wide variety of predetermined operations, much like people. Software robots can do it quicker and more reliably than humans, without having to stand up and stretch or take a coffee break. |
| Subject |
Automation.
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Automatisation. |
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automation. |
| Added Author |
Rawat, Romil, editor.
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Chakrawarti, Rajesh Kumar.
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Sarangi, Sanjaya Kumar.
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Choudhary, Rahul.
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Gadwal, Anand Singh.
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Bhardwaj, Vivek.
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| Other Form: |
Print version: Rawat, Romil Robotic Process Automation Newark : John Wiley & Sons, Incorporated,c2023 9781394166183 |
| ISBN |
9781394166954 electronic book |
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1394166958 electronic book |
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9781394166947 electronic book |
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139416694X electronic book |
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9781394166930 (electronic bk.) |
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1394166931 (electronic bk.) |
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hardcover |
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hardcover |
| Standard No. |
10.1002/9781394166954 doi |
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