Kooperativer Bibliotheksverbund

UID:

Format: 1 online resource (316 pages)

Edition: 1st ed.

ISBN: 0-443-13566-5

Note: Front Cover -- Metaverse Technologies in Healthcare -- Metaverse Technologies in Healthcare -- Copyright -- Contents -- Contributors -- About the editors -- Preface -- 1 - Metaverse: A vehicle in digital healthcare -- 1. Introduction -- 2. Significant metaverse healthcare technologies -- 2.1 Blockchain implementation and healthcare development in the metaverse -- 2.2 Healthcare using digital twins with metaverse -- 2.3 Internet of Things -- 2.4 Edge/cloud computing -- 2.5 5G/6G network -- 2.6 Immersive technology -- 2.7 Human-computer interaction -- 2.8 Quantum computing -- 2.9 Three-dimensional reconstruction -- 2.10 Extended reality -- 2.11 Web3 -- 2.12 M-worlds -- 3. Opportunities in healthcare metaverse -- 3.1 Telehealth -- 3.2 Training and education in medicine -- 3.3 Healthcare metaverse surgery -- 3.4 Better mental healthcare via the metaverse -- 4. Metaverse's contributions to healthcare and patient care -- 4.1 Metaverse's digital therapy applications -- 4.2 Surgical procedures using augmented reality -- 4.3 Metaverse in radiology -- 4.4 Metaverse in curing chronic diseases -- 4.4.1 Holographic architecture -- 4.4.2 Simulation with holograms -- 4.4.3 Combining the real with the virtual -- 4.4.4 Linkage between the virtual and the real -- 4.5 Metaverse and mental health -- 5. Within the metaverse, remote assistance for critical patients -- 5.1 Metaverse phases -- 5.1.1 Traditional healthcare industry -- 5.1.2 Healthcare 4.0 -- 5.1.3 First phase of Healthcare 4.0 -- 5.1.4 Second phase of Healthcare 4.0 -- 6. Primary effects of the metaverse on the healthcare industry -- 6.1 Telemedicine 2.0: Virtual hospital -- 6.2 Modern surgery utilizing the metaverse -- 6.3 Metaverse-powered advanced medical education -- 6.4 Medical education -- 6.4.1 Osso VR -- 6.4.2 FundamentalVR -- 6.4.3 Specific OS -- 7. Benefits of metaverse in healthcare. , 7.1 Increased access -- 7.2 Better outcomes -- 7.3 Lower costs -- 8. Limitations of the metaverse in healthcare -- 9. Integration of healthcare in the metaverse: Challenges -- 9.1 HIPAA accordance -- 9.2 Interoperability -- 9.3 Rules for the metaverse -- 10. Issues with security and privacy in the metaverse -- 10.1 Interoperability issues -- 10.2 Expensive platform -- References -- 2 - Human computer interactive applications based on metaverse for medical ecosystem -- 1. Introduction -- 1.1 Metaverse-HCI in medical systems -- 2. Importance of HCI in healthcare -- 3. Review of present studies and research -- 4. Challenges and limitations -- 5. Conclusion -- References -- 3 - Development of metaverse techniques during and post COVID-19 era -- 1. Introduction -- 1.1 Metaverse technologies -- 1.2 Effects of the COVID-19 pandemic -- 2. Adoption of metaverse in the COVID-19 pandemic -- 2.1 Demand for metaverse during and post pandemic -- 3. Review of related works -- 4. Challenges and limitations of the survey -- 5. Conclusion -- References -- 4 - Tools and applications for telesurgery in healthcare industry -- 1. Introduction to telesurgery -- 2. Importance and benefits of telesurgery in healthcare -- 3. Telecommunication infrastructure for telesurgery -- 3.1 Surgical robots and remote manipulators -- 4. Overview of robotic surgical systems -- 5. Teleoperated robotic surgery -- 6. Haptic feedback and tactile sensing in telesurgery -- 7. Advances in surgical robot design and capabilities -- 8. Imaging and visualization technologies -- 9. Role of imaging in telesurgery -- 10. 3D visualization and augmented reality -- 11. Real-time image transmission and processing -- 12. Integration of imaging modalities for teleoperation -- 13. Human-machine interfaces -- 14. Design considerations for telesurgical interfaces -- 15. Gesture recognition and motion tracking. , 16. Voice control and natural language processing -- 17. User experience and ergonomic considerations -- 18. Telesurgery applications -- 19. Minimally invasive procedures through telesurgery -- 20. Remote surgery in emergency and disaster situations -- 21. Telesurgery in rural and underserved areas -- 22. Collaborative telesurgery and teleproctoring -- 23. Training and education in telesurgery -- 24. Simulation and virtual reality training for telesurgery -- 25. Curriculum development for telesurgical education -- 26. Certification and credentialing in telesurgery -- 27. Continuing education and professional development -- 28. Challenges and future directions -- 29. Regulatory and legal considerations for telesurgery -- 30. Ethical implications of remote surgery -- 31. Integration of artificial intelligence in telesurgery -- 32. Future trends and potential advancements in telesurgical tools and applications -- 33. Virtual reality in telesurgery -- 34. Introduction to VR technology in healthcare -- 35. Advantages of incorporating VR into telesurgery -- 36. Immersive visualization and presence in VR surgeries -- 37. VR surgical planning and simulation -- 38. Telepresence and collaboration in VR surgeries -- 39. VR-assisted rehabilitation and patient education -- 40. Hand gesture processing and control in telesurgery -- 41. Importance of hand gesture control in telesurgery -- 42. Hand gesture recognition techniques -- 43. Integration of hand gesture control in surgical robotics -- 44. Advantages and limitations of hand gesture control -- 45. Latency reduction in telesurgery -- 46. Understanding latency and its impact on telesurgical procedures -- 47. Techniques for latency reduction -- 48. Network optimization and QoS considerations -- 49. Future directions for further latency reduction -- 50. Haptic feedback in telesurgery. , 51. Importance of haptic feedback in surgical procedures -- 52. Haptic feedback technologies and systems -- 53. Challenges and solutions for haptic feedback in telesurgery -- 54. Integration of haptic feedback in robotic surgical systems -- 55. Integration of virtual reality, robotics, and augmented reality in telesurgery -- 56. Synergies between VR, robotics, and AR in telesurgical applications -- 57. Enhanced surgical visualization and navigation with AR -- 58. Integration of robotic systems and VR/AR technologies -- 59. Advancements in telesurgical systems enabled by VR, robotics, and AR -- 60. Advantages and disadvantages of telesurgery -- 61. Advantages of telesurgery in healthcare -- 62. Limitations and challenges of telesurgery -- 63. Ethical considerations and patient safety in telesurgery -- 64. Conclusion -- References -- 5 - Artificial intelligence-based augmented reality and virtual reality models for healthcare industry -- 1. Introduction -- 1.1 Augmented reality -- 1.2 Virtual reality -- 2. AR/VR in medical education and clinical care -- 2.1 AR/VR in medical imaging -- 2.2 AR/VR in telemedicine -- 2.3 AR/VR in surgery -- 2.4 AR/VR in anatomy learning -- 3. AR/VR in various medical fields -- 3.1 AR/VR in dentistry -- 3.2 AR/VR in obstetrics -- 3.3 AR/VR in oncology -- 3.4 AR/VR in orthopedics -- 4. Discussion -- 4.1 Advantages of AR/VR in healthcare -- 4.2 Limitations of AR/VR in healthcare -- 5. Conclusion -- References -- 6 - Blockchain strategies for medicine and health science -- 1. Introduction -- 1.1 Types of blockchain -- 2. Blockchain in healthcare -- 3. Blockchain for health record maintenance -- 3.1 Strengths -- 3.2 Weaknesses -- 3.3 Opportunities -- 3.4 Threats -- 3.5 Importance of a system with blockchain -- 3.6 Architecture of blockchain-based health record management systems. , 3.7 Blockchain supported by multilevel authentication -- 4. Blockchain for medical supply chain management -- 4.1 Architecture of blockchain-based medical supply chain management -- 4.2 Supply chain events and transactions -- 5. Blockchain for medical credentialing -- 5.1 Strengths -- 5.2 Weaknesses -- 5.3 Opportunities -- 5.4 Threats -- 6. Blockchain in genomic market -- 6.1 Strengths -- 6.2 Weaknesses -- 6.3 Opportunities -- 6.4 Threats -- 6.5 Architecture for genomic data sharing systems using blockchain -- 7. Conclusion -- References -- 7 - Machine learning based models for implementing digital twins in healthcare industry -- 1. Introduction -- 2. Digital twin -- 2.1 What is a digital twin? -- 2.2 History of digital twin -- 2.3 Characteristics of digital twin -- 2.4 Architecture of digital twin -- 2.5 Variants of digital twin -- 2.6 Types of digital twin -- 2.7 Requirements of digital twin -- 2.8 Applications of digital twin -- 3. Artificial intelligence, machine learning, and deep learning -- 3.1 Artificial intelligence -- 3.2 Machine learning -- 3.3 Deep learning -- 3.4 Relationship between AI, ML, and DL -- 4. The healthcare sector -- 4.1 Healthcare sector -- 4.2 Industries within the healthcare sector -- 4.2.1 Drugs -- 4.2.2 Medical equipment -- 4.2.3 Healthcare facilities -- 4.3 Healthcare providers and professionals -- 4.4 Transfer of medical care -- 5. Digital twins in healthcare industry -- 5.1 Digital twin and health management -- 5.2 Digital twin and treatment of diseases -- 6. Machine learning-based models for implementing digital twins in healthcare industry -- 6.1 ML-based digital twins for bioprinting -- 6.2 Insightful, context-aware internet-of-things health care based on machine learning-based digital twins -- 6.3 ML-based digital twins for brain image fusion -- 6.4 ML-based digital twins for clinical decision support system. , 6.5 The use of machine learning-based digital twins to predict the outcome of stroke patients.

Additional Edition: ISBN 0-443-13565-7

Language: English

UID:

Format: 1 Online-Ressource (VIII, 189 p. 94 illus., 77 illus. in color)

Edition: 1st ed. 2023

ISBN: 9789819943036

Series Statement: Studies in Computational Intelligence 1103

Additional Edition: Erscheint auch als Druck-Ausgabe ISBN 978-981-9943-02-9

Additional Edition: Erscheint auch als Druck-Ausgabe ISBN 978-981-9943-04-3

Additional Edition: Erscheint auch als Druck-Ausgabe ISBN 978-981-9943-05-0

Language: English

Subjects: Computer Science

DOI: 10.1007/978-981-99-4303-6

URL: Volltext  (URL des Erstveröffentlichers)

UID:

Format: 1 Online Ressource (X, 206 Seiten, 80 Illustrationen, 64 Illustrationen in Farbe

Edition: 1st ed. 2021

ISBN: 9783030481414

Series Statement: Green Energy and Technology

Content: The book collects the latest research and thinking from international experts on green computing and the smart city. The financial and environmental costs of energy are a concern in smart cities due to the high usage of computing, technology, security, IoT, communications, traffic, and other technologies. This book tackles this problem with a focus on computing, reporting on various approaches being taken worldwide, illustrated by several international case studies demonstrating these approaches. Researchers use this book as an up-to-date reference and engineers use it as a guide for the design and implementation of real solutions

Note: Smart cities: redefining urban energy -- From smart energy to smart cities -- Energy management and planning in smart cities -- Energy technologies: Recommendations for future smart cities -- Green Technology for Smart Cities -- Optimal Renewable Energy Systems for Smart Cities -- Smart Parking: Green IoT for Smart City -- Green Internet of Things for Smart Cities -- Design of Cloud-Based Green IoT Architecture for Smart Cities -- Green-energy, water-autonomous greenhouse system -- Energy-Efficient Device-to-Device Communications for Green Smart Cities -- Greening the Smart Cities: Energy-Efficient Massive Content Delivery via D2D Communications -- Green Communications in Smart City -- Smart City Community Green Computing with Cyber Security -- Smart Cities: Environmental Challenges and Green Computing -- Ubiquitous Green Computing Techniques for High Demand Applications in Smart Environments -- Green Computing and Communications -- Toward Big Data in Green City -- How Green Building In Smart Cities Attaining Energy Efficiency?

Additional Edition: Erscheint auch als Druck-Ausgabe ISBN 9783030481407

Additional Edition: Erscheint auch als Druck-Ausgabe ISBN 9783030481421

Additional Edition: Erscheint auch als Druck-Ausgabe ISBN 9783030481438

Language: English

Keywords: Aufsatzsammlung

DOI: 10.1007/978-3-030-48141-4

URL: Volltext  (URL des Erstveröffentlichers)

UID:

Format: 1 online resource (316 pages).

ISBN: 9781837970100

Series Statement: Contemporary studies in economic and financial analysis ; v. 111, part C

Content: Digitization of economic and management processes allows for the delivery of new value and higher efficiency in the implementation of strategic goals. This is due to the inclusion of digital technologies in the existing rules of functioning among partners involved in the flow of resources, and from their readiness for digital transformation. A significant challenge, in practical, organizational, and scientific terms is to understand the opportunities and threats resulting from digital transformation, to identify optimal strategies for the development of business entities in new economic and management conditions, taking care to adopt collateral and proper management of new risks. Addressing this challenge to the readers - contributors indicate the latest theoretical advances, and practical examples in Moldova, Kosovo, and the BRIC countries, among others. This results in a synthetic look at the complex digital transformation processes of the modern world, both in terms of the underlying causes and the vast effects of the transformations and digitization of social and economic life. Contemporary Studies in Economic and Financial Analysis publishes a series of current and relevant themed volumes within the fields of economics and finance.

Note: Chapter 1. A study on the impact of covid-19 on the stock market with reference to bric countries / Anand Shankar Raja M, Keerthana Shekar, Harshith B, and Purvi Rastogi -- Chapter 2. Persistent fiscal deficit as a determinants of inflation in sri lanka: Ardl approach: 1977- 2019 / Tyrone De Alwis, Narayanage Jayantha Dewasiri, and Kiran Sood -- Chapter 3. Mapping the research on blockchain in education: A systematic review and bibliometric analysis / Ruchika Jain, Neena Seth, Kiran Sood, and Simon Grima -- Chapter 4. The role of health-related perceptions on mobile payment adoption: Evidence from the mobile banking industry in sri lanka / Narayanage Jayantha Dewasiri, Karunarathnage Sajith Senaka Nuwansiri Karunarathna, M. Shanika Hansini Rathnasiri, Kiran Sood, and Aarti Saini -- Chapter 5. Customer relationship management - review of technology impact and use cases / Samir Yerpude and Sonica Rautela -- Chapter 6. The impact of digitalization on the competitive assessment of r&d agreements in moldova / Victoria Cociug and Carolina Parcalab -- Chapter 7. Embracing artificial intelligence technology: Legal implications with special reference to European Union initiatives of data protection / Farha Khan and Akansha Mer -- Chapter 8. Using central bank digital currency to achieve the sustainable development goals / Peterson K. Ozili -- Chapter 9.managing human resources in digital marketing / Harreet Kaur, Deepali Sodhi, Rashmi Aggarwal, and Uma Shankar Yadav -- Chapter 10. The risk landscape in the digital transformation of finance and insurance / Reepu Technowize, Sanjay Taneja, and Simon Grima -- Chapter 11. Developing resilient organizations through strategic human resources / Kumar Shalender and Naman Sharma -- Chapter 12. Gender mainstreaming in climate-smart agriculture: Peeking into the best practices of other countries to pave a roadmap for India / Yogesh Mishra, Pallavi Panda, Upasana Mohanty, and Shrishti Jeswani -- Chapter 13. The status of state property in kosovo and the need to define its harmonisation / Bedri Bahtiri, Gani Asllani, and Simon Grima -- Chapter 14. Business intelligence and its impact on decision making / Samir Yerpude.

Additional Edition: Print version: ISBN 9781837970094

Additional Edition: PDF version: ISBN 9781837970087

Language: English

URL: https://doi.org/10.1108/S1569-37592023111C

UID:

Format: 1 online resource (486 p.)

ISBN: 9781394167944 , 1394167946 , 9781394167937 , 1394167938

Note: Description based upon print version of record. , Cover -- Title Page -- Copyright Page -- Contents -- Foreword -- Preface -- Part I: The Impact of Digitalisation and Lines of Insurance on Sustainable Development -- Chapter 1 Sustainability Through Digital Insurance -- 1.1 Introduction -- 1.2 Theoretical Background -- 1.2.1 Origin and Concept of Digital Insurance -- 1.2.2 The Internet of Things -- 1.2.3 Digital Ecosystem for Insurers -- 1.2.4 Digital Disruption in the Insurance Industry -- 1.3 Sustainability and Digital Insurance -- 1.3.1 Principles for Sustainable Insurance -- 1.4 Digital Insurance and Sustainable Goals -- 1.5 Findings , 1.6 Conclusion -- 1.7 Implications -- References -- Chapter 2 Motor Vehicle Insurance Industry in India: A Review -- 2.1 Introduction -- 2.1.1 Why Do We Need Motor Vehicle Insurance? -- 2.1.2 Need and Significance of the Study -- 2.2 The Rationale for the Study of VMI in India -- 2.2.1 Importance of Insurance in Our Daily Life -- 2.2.2 VMI Industry and Effect of Pandemic (COVID-19) -- 2.2.3 Motor Vehicle Insurance in India -- 2.2.4 New Insurance Policy Rule in India -- 2.3 Literature Review -- 2.4 Objective -- 2.5 Methodology -- 2.6 Discussion -- 2.6.1 Motor Insurance Sales in India , 2.7 Findings -- 2.7.1 MVA Act 2019 -- 2.7.2 Benefits of VMI -- 2.8 Result -- 2.9 Conclusion -- References -- Chapter 3 Demystifying the Prospects for Insurance Companies to Finance the Energy Metamorphosis: A Study on Indian Insurance and Sustainable Development -- 3.1 Introduction -- 3.2 Present Status of India in Energy Transition -- 3.3 The Prospects for Insurance Enterprises to Finance the Energy Metamorphosis -- 3.4 The Reasons Why India's Renewable Energy Investments are Anticipated to Expand -- 3.5 Harnessing Insurance for Sustainable Development -- 3.6 Conclusion -- References , Chapter 4 Artificial Intelligence in the Health Insurance Sector: Sustainable or Unsustainable from the Lens of Ethical-Legal and Socio-Economic Standards -- 4.1 Introduction -- 4.2 Conceptualizing Sustainable Health Insurance -- 4.3 Integration of Artificial Intelligence in Health Insurance: A Background -- 4.4 Integration of AI in Health Insurance: A Bird's Eye View from Ethical Implications Perspective -- 4.4.1 Issue of Transparency -- 4.4.2 Issue of Accountability -- 4.4.3 Issue of Algorithmic Bias -- 4.4.4 Issue of Informed Consent , 4.4.5 Issue of Safety and the Use of AI in the Insurance Sector -- 4.4.6 Issue of Trust Deficit Between the Insurance Providers and the Insured -- 4.4.7 The Issue of Explainability -- 4.5 Integration of AI in Health Insurance: Evaluation of Socio-Economic Repercussions -- 4.5.1 Economic Growth vis-à-vis Sustainability: Does Implementation of AI in Health Insurance Pose Unsustainability? -- 4.5.2 AI in Health Insurance: Issue of Equitability -- 4.6 Integration of AI in Health Insurance: Requirement of Ideal Model Legal Standards for India -- 4.7 Recommendations -- 4.8 Concluding Remarks

Additional Edition: Print version: Sood, Kiran The Impact of Climate Change and Sustainability Standards on the Insurance Market Newark : John Wiley & Sons, Incorporated,c2023 ISBN 9781394166510

Language: English

URL: https://onlinelibrary.wiley.com/doi/book/10.1002/9781394167944

URL: https://onlinelibrary.wiley.com/doi/book/10.1002/9781394167944

URL: https://onlinelibrary.wiley.com/doi/book/10.1002/9781394167944

UID:

Format: 1 online resource (344 pages).

ISBN: 9781804556641

Series Statement: Emerald studies in finance, insurance, and risk management ; vol. 7, part B

Content: Emerald Studies In Finance, Insurance, And Risk Management 7 explores how AI and Automation enhance the basic functions of human resource management. The traditional framework of Human Resource Management (HRM) primarily consists of four functions: Human Resource Planning, Recruitment and Selection, Training and Development and Performance Management Systems which help businesses in hiring, motivating and retaining employees. The introduction of Artificial Intelligence (AI) has changed all of these aspects. This second volume in The Adoption and Effect of Artificial Intelligence on Human Resources Management Series reflects upon: the accuracy of using AI to nominate candidates; the change readiness of employees; impacts and challenges on HRM practices; effects on upskilling; and the effects of the pandemic; concluding with an overall state of industry trends. This book is ideal for HR managers, senior managers, researchers, and students planning a career in this field.

Note: Chapter 1. Artificial intelligence for recruitment and selection / Aashima Gupta and Mridula Mishra -- Chapter 2. Change readiness of employees towards acceptance of artificial intelligence in human resource practices / Meet Bhatt and Priyanka Shah -- Chapter 3. Technology and change nature of work / Impacts on HRM Practices, Protean Career, and Boundaryless-Career / Fatima Shaikh, Gul Afshan, and KIran Sood -- Chapter 4. AI technology in hr practices: A challenge / Dhanashree Tharkude -- Chapter 5. Adoption of artificial intelligence in hr practices: An empirical analysis / RAnsumalini Panda, Srinivas Subbarao Pasumarti, and Suvarna Hiremath -- Chapter 6. Implementing artificial intelligence in human resource management: Analysis of challenges / Laxmi Pandit Vishwakarma and Rajesh Kumar Singh -- Chapter 7. Challenges of adopting artificial technology in human resource management practices / Aradhana Sharma, Dhiraj Sharma, and Rajni Bansal -- Chapter 8. Artificial intelligence and robotic automation hit by the pandemic: Reality or myth / KIran Gehani Hasija, Karishma Desai, and Sopnamayee Acharya -- Chapter 9. Deciphering the role of artificial intelligence in healthcare, learning and development / Ryan Varghese, Abha Deshpande, Gargi Digholkar, and Dileep Kumar -- Chapter 10. Reskilling & upskilling the workforce for the artificial intelligence age: Challenges and way forward / Reskilling & Upskilling the workforce for the Artificial Intelligence age: Challenges and way forward -- Chapter 11. HRM digitalization: Exploring success and outcomes / Gurinder Singh, Pooja Tiwari, and Vikas Garg -- Chapter 12. Role of artificial intelligence in re-inventing human resource management / Prateek Kalia and Geeta Mishra -- Chapter 13. Hr analytics: Trends, challenges and prospects: A review / Shraddha Awasthi, Devesh Bathla, and Sheetal Singh.

Additional Edition: Print version: ISBN 9781804556634

Additional Edition: PDF version: ISBN 9781804556627

Language: English

URL: https://doi.org/10.1108/9781804556627

UID:

Format: 1 online resource

ISBN: 9781119812524 , 1119812526 , 9781119812517 , 1119812518

Additional Edition: ISBN 1119812445

Additional Edition: ISBN 9781119812449

Language: English

URL: https://onlinelibrary.wiley.com/doi/book/10.1002/9781119812524

URL: https://onlinelibrary.wiley.com/doi/book/10.1002/9781119812524

URL: https://onlinelibrary.wiley.com/doi/book/10.1002/9781119812524

UID:

Format: 1 online resource : , illustrations (chiefly color)

ISBN: 9781119865230 , 1119865239 , 9781119865247 , 1119865247

Additional Edition: Print version: ISBN 111986495X

Additional Edition: ISBN 9781119864950

Language: English

URL: https://onlinelibrary.wiley.com/doi/book/10.1002/9781119865247

URL: https://onlinelibrary.wiley.com/doi/book/10.1002/9781119865247

URL: https://onlinelibrary.wiley.com/doi/book/10.1002/9781119865247

UID:

Format: 1 online resource.

ISBN: 9781119857655 , 1119857651

Note: Front Matter -- Introduction to Brain-Computer Interface / Jyoti R Munavalli, Priya R Sankpal, A Sumathi, Jayashree M Oli -- Introduction / Muskan Jindal, Eshan Bajal, Areeba Kazim -- Statistical Learning for Brain-Computer Interface / Lalit Kumar Gangwar, Ankit, A John, E Rajesh -- The Impact of Brain-Computer Interface on Lifestyle of Elderly People / Zahra Alidousti Shahraki, Mohsen Aghabozorgi Nafchi -- A Review of Innovation to Human Augmentation in Brain-Machine Interface - Potential, Limitation, and Incorporation of AI / T Graceshalini, S Rathnamala, M Prabhanantha Kumar -- Resting-State fMRI / M Menagadevi, S Mangai, S Sudha, D Thiyagarajan -- Early Prediction of Epileptic Seizure Using Deep Learning Algorithm / T Jagadesh, A Reethika, B Jaishankar, MS Kanivarshini -- Brain-Computer Interface-Based Real-Time Movement of Upper Limb Prostheses Topic / S Vairaprakash, S Rajagopal -- Brain-Computer Interface-Assisted Automated Wheelchair Control Management-Cerebro / Sudhendra Kambhamettu, Meenalosini Vimal Cruz, S Anitha, S Sibi Chakkaravarthy, K Nandeesh Kumar -- Identification of Imagined Bengali Vowels from EEG Signals Using Activity Map and Convolutional Neural Network / Rajdeep Ghosh, Nidul Sinha, Souvik Phadikar -- Optimized Feature Selection Techniques for Classifying Electrocorticography Signals / B Paulchamy, R Uma Maheshwari, D Sudarvizhi AP (Sr G), R Anandkumar AP (Sr G), G Ravi -- BCI - Challenges, Applications, and Advancements / R Remya, MG Sumithra -- Index

Language: English

DOI: 10.1002/9781119857655

URL: https://onlinelibrary.wiley.com/doi/book/10.1002/9781119857655

URL: https://onlinelibrary.wiley.com/doi/book/10.1002/9781119857655

URL: https://onlinelibrary.wiley.com/doi/book/10.1002/9781119857655

UID:

Format: 1 online resource (392 pages).

ISBN: 9781803820293

Series Statement: Emerald studies in finance, insurance, and risk management ; vol. 7, part A

Content: Emerald Studies In Finance, Insurance, And Risk Management 7 explores how AI and Automation enhance the basic functions of human resource management. The traditional framework of Human Resource Management (HRM) primarily consists of four functions: Human Resource Planning, Recruitment and Selection, Training and Development and Performance Management Systems which help businesses in hiring, motivating and retaining employees. The introduction of Artificial Intelligence (AI) has changed all of these aspects. The Adoption and Effect of Artificial Intelligence on Human Resources Management Series sets out a blended approach towards different functions of HRM and AI, reflecting upon: HR data privacy; data security; diversity and inclusion using AI; and sustainable AI-HR practices. This book is ideal for HR managers, senior managers, researchers, and students planning a career in this field.

Note: Chapter 1. Redefining hrm with artificial intelligence and machine learning / Shivani agarwal, Apoorv Gupta, and Puja Roshani -- Chapter 2. Employee engagement in the new normal: Artificial intelligence as a buzzword or a game changer? / Akansha Mer and Avantika Srivastava -- Chapter 3. Impact of artificial intelligence on human capital in healthcare sector during COVID times / Amrinder Singh, Geetika Madaan, Swapna H. R, and Anuj Kumar -- Chapter 4. Healthcare employee engagement using the internet of things: A systematic overview / Pinki Paul and Balgopal Singh -- Chapter 5. The effect of factor affecting successful digitalization of human resources / Rakesh Shirase, Priyanka Chhibber, and Amar P. Narkhede -- Chapter 6. Challenges and path ahead for artificial intelligence aided human resource management / Lalita Mohan Mohapatra, A. V. S. Kamesh, and Jayashree Roul -- Chapter 7. Navigating the paradigm shift in hrm practices through the lens of artificial intelligence: A post pandemic perspective / Akansha Mer and Amarpreet Singh Virdi -- Chapter 8. Recruitment analytics: Hiring in the era of artificial intelligence / Uma V.R, V. Ilango, and Deepika Upadhyay -- Chapter 9. Artificial intelligence in HRM: Role of emotional-social intelligence and future work skill / Arjita Singh and Tanya Chouhan -- Chapter 10. Implementation of artificial intelligence in diagnosing employees attrition and elevation: A case study on the IBM employee dataset / Saurabh Sharma and Romica Bhat -- Chapter 11. Reinventing workplace learning and development: Envisaging the role of ai / Mohammad Faraz Naim -- Chapter 12. Artificial intelligence-based people analytics transforming human resource management practices / Anjali Rai and Lata Bajpai Singh -- Chapter 13. Identification, assessment and optimisation of key impact variables in people analytics using ai / Jada Kameswari, Hemant Palivela, Sreekanth Settur, and Poonam Solanki.

Additional Edition: Print version: ISBN 9781803820286

Additional Edition: PDF version: ISBN 9781803820279

Language: English

URL: https://doi.org/10.1108/9781803820279