411
20
11858
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Dublin Core
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Title
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Book Chapter
Book Chapter
Faculty Publications- Book Chapter
Dublin Core
The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/.
Title
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Migrants and homelessness: Life on the streets in urban India
Subject
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Challenges in migration; COVID-19; Homelessness; Migration; Public policy; Social geography; Temporary migration; Unemployment
Description
An account of the resource
There has been division and segregation of urban spaces and homeless migrants highlighting urbanization's contradiction. Despite being unseen, they make up a sizable portion of urban population. Being homeless in the city is a case of minimum citizenship, devoid of the right to the city, and is subject to ongoing violence. The expanding claim for the citizen's right to various public areas like pathways, pavements, and parks challenges their very existence on the streets and sidewalks (where they live). How do they perceive the hatred and disinterest of the wealthier classes? What uneasiness does the politics being played out in the name of locals against migrants create? The study will also examine the country's approach to the homeless, including their access to housing and sources of income. The Indian government has taken some steps to address homelessness among migrant workers, including providing financial assistance and setting up temporary shelters. Still, more needs to be done to address the root causes of this issue and ensure that migrant workers have access to safe and affordable housing, healthcare, and employment opportunities. This chapter plans to investigate issues, including how frequently migrants who are homeless experience violence and humiliation. It would analyze the macromicro paradox of the dynamics of migration. As the invisibleness and neglect of migrants frequently coincide with a widespread belief that migration must be reduced, this has obvious policy implications and implications for the inclusive growth model. In addition to that, this chapter has analyzed the country's policies on the homeless and their livelihood. The data was collected from secondary sources, and extensive study was conducted on various literature available from multiple databases. 2024 Elsevier Inc. All rights are reserved.
Creator
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Rai R.; Lakshmypriya K.; Kudal P.; Raghuvanshi R.
Source
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Homelessness to Hope: Research, Policy and Global Perspectives, pp. 75-98.
Publisher
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Elsevier Science Ltd.
Date
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2024-01-01
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<a href="https://doi.org/10.1016/B978-0-443-14052-5.00005-7" target="_blank" rel="noreferrer noopener">https://doi.org/10.1016/B978-0-443-14052-5.00005-7</a>
<br /><br /><a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85198578559&doi=10.1016%2FB978-0-443-14052-5.00005-7&partnerID=40&md5=b85a5e935d1f36ae8cc97622cdbd50c5" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85198578559&doi=10.1016%2fB978-0-443-14052-5.00005-7&partnerID=40&md5=b85a5e935d1f36ae8cc97622cdbd50c5</a>
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ISBN: 978-044314052-5; 978-044314053-2
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Online
Language
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English
Type
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Book chapter
Coverage
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Rai R., Christ University, School of Business and Management, Karnataka, Bangalore, India; Lakshmypriya K., Christ University, School of Business and Management, Karnataka, Bangalore, India; Kudal P., Balaji Institute of International Business, Sri Balaji University, Maharashtra, Pune, India; Raghuvanshi R., Shyam Lal College (Evening), University of Delhi, Delhi, New Delhi, India
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Dublin Core
The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/.
Title
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Book Chapter
Book Chapter
Faculty Publications- Book Chapter
Dublin Core
The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/.
Title
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Sustainability and green nanomaterials on nanotechnology-based sensors
Subject
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Bioremediation; green synthesized; microorganisms; nanobiosensors; pollutants
Description
An account of the resource
Nanobiosensors multipurpose efficacy in various domains as next-generation device has set a revolutionary impact on the scientific technology. Green synthesized nanoparticles (NPs) have enhanced the properties of these nanobiosensors in commendable ways with remarked growth. The unique properties of NPs like optical, magnetic, electrochemical, physiochemical, mechanical, and good conductivity make them highly reliable and sensitive for conventional approaches to check minute concentrations. Quantum dots, nanotubes, and magnetic nanowires provide a novel signal transduction mechanism that helps to detect low level of pesticides, food contaminants, toxins, and metabolites. Various microbes have been documented for NPs such as Fusarium oxysporum, Alternata alternata, Trichoderma viride, Colletotrichum sp., F. oxysporum, Aspergillus orayzae, Aquaspirillum magnetotacticum, and Magnetospirillum magnetotacticum. It is used in sustainable agriculture or smart farming to aid plant growth in the form of sensor detector of plant metabolites, hormonal changes, ion concentration, volatiles and gas changes, etc., under physiological stress. Environmental remediation is carried out for analysis and quantification of contaminants like heavy metals, pesticides, fungicides, pathogens, etc. Nanobiosensors have a tremendous impact on food industry as a means of sensitive method for detecting pathogens and recognition of mycotoxins. While, medical applications detect glucose in diabetics, cancer diagnosis, detection of urinary tract infections, HIV-AIDS, disease-causing pathogens, antigen-antibody interaction, etc. 2024 Elsevier Inc. All rights are reserved including those for text and data mining AI training and similar technologies.
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Mayegowda S.B.; Nithin Gowda B.K.; Chandan Gowda U.; Joshi V.; Manjula N.G.
Source
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Nanotechnology-Based Sensors for Detection of Environmental Pollution, pp. 553-572.
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Elsevier
Date
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2024-01-01
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<a href="https://doi.org/10.1016/B978-0-443-14118-8.00027-9" target="_blank" rel="noreferrer noopener">https://doi.org/10.1016/B978-0-443-14118-8.00027-9</a>
<br /><br /><a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85199842505&doi=10.1016%2FB978-0-443-14118-8.00027-9&partnerID=40&md5=5383d2248fa262517838b4547fcafb2d" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85199842505&doi=10.1016%2fB978-0-443-14118-8.00027-9&partnerID=40&md5=5383d2248fa262517838b4547fcafb2d</a>
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ISBN: 978-044314118-8; 978-044314119-5
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Online
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English
Type
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Book chapter
Coverage
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Mayegowda S.B., Department of Psychology, CHRIST (Deemed to be University), Bangalore Kengeri Campus, Karnataka, Bengaluru, India; Nithin Gowda B.K., Department of Microbiology, School of Basic and Applied Sciences (SBAS), Dayananda Sagar University, Karnataka, Bengaluru, India; Chandan Gowda U., Department of Microbiology, School of Basic and Applied Sciences (SBAS), Dayananda Sagar University, Karnataka, Bengaluru, India; Joshi V., Department of Microbiology, School of Basic and Applied Sciences (SBAS), Dayananda Sagar University, Karnataka, Bengaluru, India; Manjula N.G., Department of Microbiology, School of Basic and Applied Sciences (SBAS), Dayananda Sagar University, Karnataka, Bengaluru, India
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Dublin Core
The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/.
Title
A name given to the resource
Book Chapter
Book Chapter
Faculty Publications- Book Chapter
Dublin Core
The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/.
Title
A name given to the resource
Smart production monitoring using drones in cyber-physical agricultural systems
Subject
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cyber-physical system; framework of a cyber-physical system; Internet of drones; smart farming cycle; Unmanned aerial vehicles
Description
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The population of the world has shown a notable swift in recent years and the need for food has also gradually increased. The extra demand could be met by smart agricultural systems because manual and traditional crop cultivation is tedious, time-consuming and requires manpower to a great extent. The increased population is not the only factor for the shortage of food; there are many other influencing factors involving crop damage due to insects, lack of monitoring, and many others that should be overcome by the implementation of smart technologies in agriculture and resulting in a revolution of the agriculture or it can be addressed as Agri 4.0. This chapter provides insight into the implementation of drone technology which will result in many positive shifts in Agri 4.0. To address the various associated problems, causes, and consequences in the production, the smart production system with the incorporating technologies shows the notable solutions. Through the underlying chapter, the need, usage, architecture, implementation, and other related aspects are discussed. 2024 Elsevier Inc. All rights reserved.
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Choudhary V.; Guha P.; Mishra S.; Singh A.; Sharma V.; Dhanaraj R.K.
Source
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Agri 4.0 and the Future of Cyber-Physical Agricultural Systems, pp. 197-218.
Publisher
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Elsevier
Date
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2024-01-01
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<a href="https://doi.org/10.1016/B978-0-443-13185-1.00011-3" target="_blank" rel="noreferrer noopener">https://doi.org/10.1016/B978-0-443-13185-1.00011-3</a>
<br /><br /><a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85198490839&doi=10.1016%2FB978-0-443-13185-1.00011-3&partnerID=40&md5=39eae8af1be392125e0c526087e3c453" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85198490839&doi=10.1016%2fB978-0-443-13185-1.00011-3&partnerID=40&md5=39eae8af1be392125e0c526087e3c453</a>
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ISBN: 978-044313185-1; 978-044313186-8
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Online
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English
Type
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Book chapter
Coverage
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Choudhary V., CSIR-National Physical Laboratory, Dr. KS Krishnan Marg, New Delhi, India, Academy of Scientific & Innovative Research (AcSIR), Uttar Pradesh, Ghaziabad, India; Guha P., CSIR-National Physical Laboratory, Dr. KS Krishnan Marg, New Delhi, India; Mishra S., CSIR-Central Scientific Instruments Organizations, Chandigarh, India; Singh A., School of Computing Science and Engineering, Galgotias University, Greater Noida, India; Sharma V., Department of Computational Sciences, Christ University, Delhi NCR Campus, India; Dhanaraj R.K., Symbiosis Institute of Computer Studies and Research (SICSR), Symbiosis International (Deemed University), Maharashtra, Pune, India
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Dublin Core
The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/.
Title
A name given to the resource
Book Chapter
Book Chapter
Faculty Publications- Book Chapter
Dublin Core
The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/.
Title
A name given to the resource
Occupancy Monitoring to Prevent Spread of COVID-19 in Public Places Using AI
Description
An account of the resource
The chapter aims to automate the counting of people for occupancy monitoring and send an alert email if the occupancy exceeds the defined threshold in case of restricted occupancy guidelines. The study aims to reduce the manual error, effort, and time for people counting and provide a tool for footfall analysis. We propose and implement an occupancy monitoring system by counting the number of people entering and exiting a building/room using cameras and machine learning (ML) algorithms. The Single Shot Detector (SSD) algorithm, which is based on the MobileNet architecture, is used. This project provides an effective process for execution using either a recorded video file or a live stream from a camera. As the system automates counting people, it reduces human effort and error. It provides accurate results on time. The project can be implemented anywhere using a laptop and a camera for capturing the video. Thus, it provides high portability of the project. The system can leverage pre-installed CCTV cameras and systems in colleges, malls, offices, etc. Thus, it requires less additional expenses and is economically friendly for the organization/decision-making authority. This chapter includes implications for various use cases such as ensuring adherence to COVID-19 guidelines by organizations, streamlining janitorial services, prevention of stampedes, improving indoor air quality, improving electricity efficiency, etc. This project fulfills an identified need to automate the people counting process and generate alerts accordingly. 2025 by Apple Academic Press, Inc.
Creator
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Pardal H.; Kapse M.; Sharma V.; Elangovan N.
Source
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Sustainability in Marketing Practice: Strategies for Industry 4.0, pp. 281-294.
Publisher
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Apple Academic Press
Date
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2024-01-01
Identifier
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<a href="" target="_blank" rel="noreferrer noopener"></a>
<br /><br /><a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85199100216&partnerID=40&md5=6be19d6bdb9c2273e6689467156f7d75" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85199100216&partnerID=40&md5=6be19d6bdb9c2273e6689467156f7d75</a>
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ISBN: 978-100382892-1; 978-177491588-2
Format
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Online
Language
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English
Type
The nature or genre of the resource
Book chapter
Coverage
The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant
Pardal H., Oracle Corporation, Karnataka, Bangalore, India; Kapse M., Symbiosis Center for Management and Human Resource Development, Symbiosis International University, Maharashtra, Pune, India; Sharma V., Symbiosis Center for Management and Human Resource Development, Symbiosis International University, Maharashtra, Pune, India; Elangovan N., School of Business and Management, Christ University, Karnataka, Bangalore, India
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Dublin Core
The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/.
Title
A name given to the resource
Book Chapter
Book Chapter
Faculty Publications- Book Chapter
Dublin Core
The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/.
Title
A name given to the resource
IoT Security with Blockchain Technology in the Financial Sector
Description
An account of the resource
Blockchain technology is to create immutable device IDs to stop identity faking whereas Internet of Things (IoT) is used in payment automation and to create smart payment systems. Both are evolving technologies, and their integration offers promising results in financial sector across the globe. Their combination holds a great deal of potential and is going to represent the next generation of smart finance technologies. But the major weaknesses that are present in IoT technologies includes those related to data security, privacy, device authentication, secure communication, and smart contract administration. This chapter focuses on the use of blockchain networks to regulate access and improve security in financial transactions, boost automation and improve efficiency of IoT applications. Blockchain and IoT integration in the financial industry provides a pathway to a more integrated, efficient, and secure financial environment. The chapter discusses the advantages of integrating IoT and Blockchain technologies in the financial sector and the challenges in its applications, and the regulatory mechanism thereof. 2025 Taylor & Francis Group, LLC.
Creator
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Divyashree K.L.; Mishra A.
Source
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Internet of Things Vulnerabilities and Recovery Strategies, pp. 166-182.
Publisher
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CRC Press
Date
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2024-01-01
Identifier
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<a href="https://doi.org/10.1201/9781003474838-9" target="_blank" rel="noreferrer noopener">https://doi.org/10.1201/9781003474838-9</a>
<br /><br /><a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85199174195&doi=10.1201%2F9781003474838-9&partnerID=40&md5=441a5166b513f62c20c0a9873fa58676" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85199174195&doi=10.1201%2f9781003474838-9&partnerID=40&md5=441a5166b513f62c20c0a9873fa58676</a>
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ISBN: 978-104002562-8; 978-103247331-4
Format
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Online
Language
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English
Type
The nature or genre of the resource
Book chapter
Coverage
The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant
Divyashree K.L., Christ University, Bangalore, India; Mishra A., Christ University, Bangalore, India
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Dublin Core
The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/.
Title
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Book Chapter
Book Chapter
Faculty Publications- Book Chapter
Dublin Core
The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/.
Title
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Ind as convergence and its impact on value relevance of accounting variables
Subject
The topic of the resource
accounting information; BPS; DPS; EPS; Ind AS; Ohlson model; R&D; value relevance
Description
An account of the resource
This study investigates the correlation between accounting variables and stock prices in India from 2011 to 2022, emphasizing the impact of the Convergence of Ind AS with IFRS. Specifically, it explores how this convergence influences the value relevance of accounting data using the Ohlson Model. Beyond established vari-ables like Earnings per Share (EPS) and Book Value (BPS), the analysis introduces additional factors such as Dividend per Share (DPS) and Research and Development (R&D). Employing Ohlsons Pricing Model (1995), the research assesses the rela-tionship between these accounting variables and stock prices for 47 consistently listed firms in the NIFTY 500 index. Results show that DPS and R&D enhance the value relevance of the Ohlson Model, with the adjusted upper R squaredupper R squared increasing from 0.2 in 2011 to 0.6 in 2022. While overall value relevance improves after Ind AS convergence, BPS remains consistent when controlling for EPS. The Author(s).
Creator
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Meghala N.; Prakash M.
Source
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Studies in Systems, Decision and Control, Vol-525, pp. 199-210.
Publisher
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Springer Science and Business Media Deutschland GmbH
Date
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2024-01-01
Identifier
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<a href="https://doi.org/10.1007/978-3-031-54383-8_16" target="_blank" rel="noreferrer noopener">https://doi.org/10.1007/978-3-031-54383-8_16</a>
<br /><br /><a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85200554608&doi=10.1007%2F978-3-031-54383-8_16&partnerID=40&md5=c349e133be810eb499a5b2a6127818e9" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85200554608&doi=10.1007%2f978-3-031-54383-8_16&partnerID=40&md5=c349e133be810eb499a5b2a6127818e9</a>
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ISSN: 21984182
Format
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Online
Language
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English
Type
The nature or genre of the resource
Book chapter
Coverage
The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant
Meghala N., Christ (Deemed to be University), Bangalore, India; Prakash M., Christ (Deemed to be University), Bangalore, India
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Dublin Core
The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/.
Title
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Book Chapter
Book Chapter
Faculty Publications- Book Chapter
Dublin Core
The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/.
Title
A name given to the resource
Ant Colony Systems- Enabled Wireless Network Communication
Description
An account of the resource
[No abstract available]
Creator
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Nanjundan P.; Jaisingh W.
Source
A related resource from which the described resource is derived
Bio-Inspired Computational Paradigms: Security and Privacy in Dynamic Smart Networks, pp. 1-18.
Publisher
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CRC Press
Date
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2024-01-01
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<a href="https://doi.org/10.1201/9781003248545-1" target="_blank" rel="noreferrer noopener">https://doi.org/10.1201/9781003248545-1</a>
<br /><br /><a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85198241042&doi=10.1201%2F9781003248545-1&partnerID=40&md5=800e2e76de74595aec0ac626b5b71788" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85198241042&doi=10.1201%2f9781003248545-1&partnerID=40&md5=800e2e76de74595aec0ac626b5b71788</a>
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ISBN: 978-104004450-6; 978-103216429-8
Format
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Online
Language
A language of the resource
English
Type
The nature or genre of the resource
Book chapter
Coverage
The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant
Nanjundan P., Christ University, Lavasa, India; Jaisingh W., VIT Bhopal University, Bhopal, India
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Dublin Core
The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/.
Title
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Book Chapter
Book Chapter
Faculty Publications- Book Chapter
Dublin Core
The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/.
Title
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Artificial Intelligence for Bio-Inspired Security
Description
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[No abstract available]
Creator
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Nanjundan P.; Karpagam C.
Source
A related resource from which the described resource is derived
Bio-Inspired Computational Paradigms: Security and Privacy in Dynamic Smart Networks, pp. 121-137.
Publisher
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CRC Press
Date
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2024-01-01
Identifier
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<a href="https://doi.org/10.1201/9781003248545-8" target="_blank" rel="noreferrer noopener">https://doi.org/10.1201/9781003248545-8</a>
<br /><br /><a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85198298118&doi=10.1201%2F9781003248545-8&partnerID=40&md5=d61fcb2782e683eb9182d781ccc5bb9e" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85198298118&doi=10.1201%2f9781003248545-8&partnerID=40&md5=d61fcb2782e683eb9182d781ccc5bb9e</a>
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ISBN: 978-104004450-6; 978-103216429-8
Format
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Online
Language
A language of the resource
English
Type
The nature or genre of the resource
Book chapter
Coverage
The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant
Nanjundan P., Christ University, Lavasa, India; Karpagam C., Dr. N.G.P. Arts and Science College, Coimbatore, India
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Dublin Core
The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/.
Title
A name given to the resource
Book Chapter
Book Chapter
Faculty Publications- Book Chapter
Dublin Core
The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/.
Title
A name given to the resource
The Accountability of Stakeholders in Combating Domestic Violence with Women in India
Subject
The topic of the resource
access to justice; Domestic violence; intimate partner violence; stakeholders; woman
Description
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As per the Hindu tradition, women are considered as ardhangini and the western civilisation considers them as better half. Since ancient times, women have been considered as the epitome of love, kindness, care and above all the mother of mankind. But on the contrary, the most terrible and horrifying cruelties are imposed upon her. The predominant type of violence which is inflicted upon a woman is domestic violence also known as intimate partner violence. According to the World Health Organisation, almost one third, i.e., 27% of the women aged between 15 and 49 years, who have been in a relationship report that they have been subjected to some form of physical or sexual violence by their intimate partner. The issue of domestic violence has been addressed at both international and national levels, but still there exists a persistent gap in enforcing and implementing them. And this can be easily proved from the continuous rise in the cases of domestic violence worldwide, especially during the COVID times. The problem that needs to be addressed at hand is the role of several accountable stakeholders involved in the process of providing access to justice to the women affected by domestic violence. According to the Protection of Women from Domestic Violence Act (2005), in India, the several stakeholders include the protection officers, service providers, lawyers, police officers, shelter homes and judges. These are the people with whom the power to protect and help the women are vested, but instead the affected women fall a prey to this system due to various reasons like lack of resources, fewer power and many more which will be further discussed in the article. 2024 selection and editorial matter Dr. Shilpi Sharma and Baidya nath Mukherjee; individual chapters, the contributors.
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Singh M.; Mathew M.
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Law and Emerging Issues: Proceedings of the International Conference on Law and Emerging Issues (ICLEI 2023), pp. 129-140.
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Taylor and Francis
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2024-01-01
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<a href="https://doi.org/10.4324/9781003428213-14" target="_blank" rel="noreferrer noopener">https://doi.org/10.4324/9781003428213-14</a>
<br /><br /><a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85196683599&doi=10.4324%2F9781003428213-14&partnerID=40&md5=067a1bafdfc93328f043eac24d5faf9b" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85196683599&doi=10.4324%2f9781003428213-14&partnerID=40&md5=067a1bafdfc93328f043eac24d5faf9b</a>
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ISBN: 978-104004662-3; 978-103254944-6
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English
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Singh M., School of Law, Christ (Deemed to be) University, Delhi-NCR, India, University Institute of Legal Studies, Chandigarh University, Punjab, India; Mathew M., School of Law, Christ (Deemed to be) University, Delhi-NCR, India
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Portfolio Management Decision Support System Using Cryptocurrencies and Traditional Assets in Indian Context
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Cryptocurrencies; Hierarchical risk parity; Monte Carlo simulations; Portfolio; Portfolio expected return
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The paper attempts to develop a portfolio management decision support system (PMDSS) to help the investors to ensure portfolio optimization in Indian context. For this, the study conducts a comparative analysis between portfolios with equities from Indian market and portfolios that includes cryptocurrencies along with equities. Considering the huge hype received by cryptocurrencies in the current scenario, we attempt to diversify portfolios by including risky assets like cryptocurrencies, specially focusing from Indian perspective. Till now, Portfolio Optimization with Monte Carlo Simulation and Hierarchical Risk Parity has not been implemented by combining portfolios of cryptocurrencies and Indian stocks together. Traditional assets for the study are selected upon their market capitalization, Earnings Per Share, Profit margin, Operating profit etc. and cryptocurrencies are chosen according to their market capitalization. Data on the daily prices of these assets are collected from 201920 to 202122. An attempt is made to optimize the portfolios by minimizing the portfolio standard deviation and maximizing the portfolio expected returns. This helps to minimize risk and maximize the possible returns that might arise from the portfolio after adjusting for the volatility of the asset classes respectively. Based on the results, we suggest not to incorporate cryptocurrencies in portfolios with Indian stocks. This is because the risk adjusted returns of cryptocurrencies are comparatively lower as compared to the other under study. The Author(s), under exclusive license to Springer Nature Switzerland AG 2024.
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Vijayalakshmi S.; Sharma M.; Jose E.; Kappil S.R.
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Studies in Systems, Decision and Control, Vol-508, pp. 419-434.
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Springer Science and Business Media Deutschland GmbH
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2024-01-01
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<a href="https://doi.org/10.1007/978-3-031-43601-7_28" target="_blank" rel="noreferrer noopener">https://doi.org/10.1007/978-3-031-43601-7_28</a>
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ISSN: 21984182
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English
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Vijayalakshmi S., Department of Data Science, CHRIST (Deemed to Be University), Pune, India; Sharma M., Department of Data Science, CHRIST (Deemed to Be University), Pune, India; Jose E., Department of Data Science, CHRIST (Deemed to Be University), Pune, India; Kappil S.R., Department of Data Science, CHRIST (Deemed to Be University), Pune, India
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Genetic Algorithms for Graph Theoretic Problems
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[No abstract available]
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Chelladurai X.; Kureethara J.V.
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Bio-Inspired Computational Paradigms: Security and Privacy in Dynamic Smart Networks, pp. 36-63.
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CRC Press
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2024-01-01
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<a href="https://doi.org/10.1201/9781003248545-3" target="_blank" rel="noreferrer noopener">https://doi.org/10.1201/9781003248545-3</a>
<br /><br /><a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85198303723&doi=10.1201%2F9781003248545-3&partnerID=40&md5=19cf6358d544ba2dde75b663d82d248b" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85198303723&doi=10.1201%2f9781003248545-3&partnerID=40&md5=19cf6358d544ba2dde75b663d82d248b</a>
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ISBN: 978-104004450-6; 978-103216429-8
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Online
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English
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Chelladurai X., Christ University, Bangalore, India; Kureethara J.V., Christ University, Bangalore, India
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Business Forecasting and Error Handling Using AI
Description
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Business forecasting is the technique of accurately predicting the future of a business and outcomes using historical data and present trends. To evaluate historical data and find patterns, trends, and other elements that might be used to forecast future events, a variety of analytical tools and techniques are used. Business forecasting is a crucial component of strategic planning because it enables businesses to foresee market changes, spot possible risks and opportunities that may arise in the future, and make wise resource allocation and investment decisions. Businesses that use effective business forecasting can plan and carry out their programs that help them stay competitive, expand their operations, and meet their objectives. According to Glueck [1], Forecasting is a formal process of predicting future events that will significantly affect the functioning of an enterprise.. 2024 Sachi Nandan Mohanty, Preethi Nanjundan and Tejaswini Kar.
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Nagasri V.K.; Vasantha M.; Nanjundan P.; George J.P.
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Artificial Intelligence in Forecasting: Tools and Techniques, pp. 233-241.
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CRC Press
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2024-01-01
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<a href="https://doi.org/10.1201/9781003399292-15" target="_blank" rel="noreferrer noopener">https://doi.org/10.1201/9781003399292-15</a>
<br /><br /><a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85195975936&doi=10.1201%2F9781003399292-15&partnerID=40&md5=d28c1a494392f17fb4978261a4aae764" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85195975936&doi=10.1201%2f9781003399292-15&partnerID=40&md5=d28c1a494392f17fb4978261a4aae764</a>
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ISBN: 978-104005150-4; 978-103250615-9
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Online
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English
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Nagasri V.K., School of Commerce Finance and Accountancy, CHRIST (Deemed to be University), Pune Lavasa, India; Vasantha M., School of Commerce Finance and Accountancy, CHRIST (Deemed to be University), Pune Lavasa, India; Nanjundan P., Department of Data Science, CHRIST (Deemed to be University), Pune Lavasa, India; George J.P., Department of Data Science, CHRIST (Deemed to be University), Pune Lavasa, India
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Forecasting the Stock Market Index Using Artificial Intelligence Techniques
Description
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If the stock market would have a predictable to maximum accuracy, then every stockbroker and investor would have been billionaire. But it is not the ground truth. In a one-to-one interaction with stock analysts, who mention that the stock market is unpredictable and that is why their role is important, else everything would have been black and white. 2024 Sachi Nandan Mohanty, Preethi Nanjundan and Tejaswini Kar.
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Kumar S.; Kumar S.O.D.; Sridharan A.
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Artificial Intelligence in Forecasting: Tools and Techniques, pp. 49-61.
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CRC Press
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2024-01-01
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<a href="https://doi.org/10.1201/9781003399292-3" target="_blank" rel="noreferrer noopener">https://doi.org/10.1201/9781003399292-3</a>
<br /><br /><a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85195981266&doi=10.1201%2F9781003399292-3&partnerID=40&md5=22b8e563d617412fef4fd207750530ba" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85195981266&doi=10.1201%2f9781003399292-3&partnerID=40&md5=22b8e563d617412fef4fd207750530ba</a>
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ISBN: 978-104005150-4; 978-103250615-9
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Online
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English
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Book chapter
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Kumar S., School of Business and Management, Christ University, Karnataka, 560076, India; Kumar S.O.D., Straive, Chennai, India; Sridharan A., School of Business and Management, Christ (Deemed to be University), Bangalore, India
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Evaluation of Consumer Experiences by Extended AIDUA Framework in the World of the Metaverse the Future of Next-Gen Hospitality
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The hospitality industry is continuously exploring novel ways to enhance consumer experiences, and the advent of the metaverse presents exciting prospects for transforming guest interactions. The metaverse can provide an immersive, 3D social experience of a virtual world by using technologies like virtual reality and augmented reality, which helps bridge the gap between the real and virtual worlds. This study explores consumer experiences in the metaverse in the hospitality context. Using the extended AIDUA (artificial intelligence device usage acceptance) model, the research aims to comprehensively analyze customers willingness to accept the metaverse in the dynamic digital landscape. The objective of this study is to investigate how the metaverse revolutionizes consumer experiences in the hospitality sector, specifically in the context of room and amenity booking, in-house events, and virtual tours. In this study, a three-step cognitive appraisal process with utilitarian motivation and the attitude of the customers that determines customers willingness and objection to utilizing AI devices is evaluated through secondary data. The metaverse empowers guests to optimize in-house event participation, seamlessly navigate their stay through taking a virtual walkthrough to explore a higher-end suite, and touring the city virtually. Practical implications for industry practitioners and researchers seeking to exploit the potential of the metaverse to create an immersive and unforgettable consumer experience in the ever-evolving landscape of hospitality are explored in this chapter. 2024 selection and editorial matter, Park Thaichon, Pushan Kumar Dutta, Pethuru Raj Chelliah and Sachin Gupta; individual chapters, the contributors.
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Somu S.; Asha K.; Raghavendra Rao R.
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Technology and Luxury Hospitality: Ai, Blockchain and the Metaverse, pp. 268-277.
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Taylor and Francis
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2024-01-01
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<a href="https://doi.org/10.4324/9781003488248-18" target="_blank" rel="noreferrer noopener">https://doi.org/10.4324/9781003488248-18</a>
<br /><br /><a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85196444171&doi=10.4324%2F9781003488248-18&partnerID=40&md5=c9b045e65e687ddd8b030953406690cd" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85196444171&doi=10.4324%2f9781003488248-18&partnerID=40&md5=c9b045e65e687ddd8b030953406690cd</a>
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ISBN: 978-104004939-6; 978-103278506-6
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Online
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English
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Somu S., Dayananda Sagar College of Arts, Science and Commerce, India; Asha K., Department of Artificial Intelligence and Machine Learning, Dayananda Sagar College of Engineering, India; Raghavendra Rao R., Christ Deemed to be University, School of Business Management, Bengaluru, India
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From bean to brain: Coffee, gray matter, and neuroprotection in neurological disorders spectrum
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Caffeine; Coffee; Hallucination; Neurological disorders; Schizophrenia
Description
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Coffee is a popular drink enjoyed around the world, and scientists are very interested in studying how it affects the human brain. This chapter looks at lots of different studies to understand how drinking coffee might change the brain and help protect it from neurodegenerative disorders especially like schizophrenia. With the help of available literature a link between the coffee mechanism and neurodegenerative disorders is established in this chapter. Researchers have found that drinking coffee can change the size of certain parts of the brain that control things like thinking and mood. Scientists also study how coffee's ingredients, especially caffeine, can change how the brain works. They think these changes could help protect the brain from diseases. This chapter focuses on how coffee might affect people with schizophrenia as hallucination is caused during and after excess consumption of caffeine. There's still a lot we don't know, but researchers are learning more by studying how different people's brains respond to coffee over time. Overall, this chapter shows that studying coffee and the brain could lead to new ways to help people with brain disorders. This study also draws ideas for future research and ways to help people stay healthy. 2024 Elsevier B.V.
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Bansal V.; Chatterjee I.
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Progress in Brain Research, Vol-289, pp. 169-180.
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Elsevier B.V.
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2024-01-01
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<a href="https://doi.org/10.1016/bs.pbr.2024.06.007" target="_blank" rel="noreferrer noopener">https://doi.org/10.1016/bs.pbr.2024.06.007</a>
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ISSN: 796123; ISBN: 978-044334467-1; PubMed ID: 39168579; CODEN: PBRRA
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Online
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English
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Bansal V., Department of Psychology, Christ University, Karnataka, Bangalore, India; Chatterjee I., Department of Computing and Mathematics, Manchester Metropolitan University, England, Manchester, United Kingdom
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Agricultural Internet of Things (AIoT) Architecture, Applications, and Challenges
Description
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The internet of things (IoT) is a system that involves adding sensors, software, and network connectivity to physical devices, enabling them to collect and exchange data. This technology has the potential to bring significant advancements to various sectors, including agriculture. In farming, the agricultural internet of things (AIoT) utilizes IoT to improve efficiency, sustainability, and productivity. Through the real-time collection and analysis of data, AIoT can optimize growing conditions, prevent diseases and pests, and ultimately increase crop yields. By monitoring factors such as soil moisture, temperature, and nutrient levels, AIoT technology can effectively track crop health and detect potential issues in advance. In this way, AIoT technology is helping farmers to make more informed decisions and take more effective actions to improve crop yields, reduce waste, and lower costs. AIoT in agriculture finds practical applications in smart irrigation systems, precision agriculture, livestock monitoring systems, and climate control systems. Smart irrigation systems utilize weather data and soil moisture sensors to efficiently manage water consumption. Precision agriculture employs sensors and data analysis techniques to optimize planting, fertilization, and pest control practices. Livestock monitoring systems aid in monitoring and managing the well-being of farm animals. Climate control systems utilize AIoT to regulate and optimize environmental conditions for crops and livestock. Livestock monitoring systems use sensors to track the health and well-being of animals. Climate control systems for greenhouses and barns use AIoT devices to monitor temperature, humidity, and other environmental factors to optimize growing conditions. Sensors can be used to monitor various environmental factors in a farm, by connecting the sensors to a cloud-based platform for storing and analyzing data. The wireless sensor networks can be used to calculate the dew point on leaves and adjust the greenhouse environment to prevent and control plant diseases. Drones equipped with sensors, cameras, and other imaging technology can also be used to monitor crop conditions, as this allows farmers to take proactive measures to address these issues, preventing crop loss and reducing the need for pesticides and other chemicals. IoT/sensor nodes are vital components in precision agriculture as they gather real-time data. Integrating data analytics and machine learning into the agricultural system improves its practicality and efficiency. Real-time data availability enhances precision in agriculture, and combining data analytics with this information leads to notable progress in the field. However, AIoT technology is gradually advancing in agriculture, but there is a need for a more rigorous research approach in this area. Additionally, the current literature lacks coherence and solid research on the interconnectedness of technology and agriculture. 2024 selection and editorial matter, Alex Khang, Vugar Abdullayev, Vladimir Hahanov and Vrushank Shah; individual chapters, the contributors.
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Rajamohan K.; Rangasamy S.; Baby L.; Niveditha G.; D. S. M.
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Advanced IoT Technologies and Applications in the Industry 4.0 Digital Economy, pp. 349-373.
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CRC Press
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2024-01-01
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<a href="https://doi.org/10.1201/9781003434269-19" target="_blank" rel="noreferrer noopener">https://doi.org/10.1201/9781003434269-19</a>
<br /><br /><a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85197759789&doi=10.1201%2F9781003434269-19&partnerID=40&md5=99401a293a1302daac797d8ee0f226cf" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85197759789&doi=10.1201%2f9781003434269-19&partnerID=40&md5=99401a293a1302daac797d8ee0f226cf</a>
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ISBN: 978-100385191-2; 978-103256182-0
Format
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Online
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English
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Book chapter
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Rajamohan K., School of Sciences, CHRIST (Deemed to be University), Karnataka, Bangalore, India; Rangasamy S., School of Business and Management, CHRIST (Deemed to be University), Karnataka, Bangalore, India; Baby L., School of Sciences, CHRIST (Deemed to be University), Karnataka, Bangalore, India; Niveditha G., School of Sciences, CHRIST (Deemed to be University), Karnataka, Bangalore, India; D. S. M., School of Sciences, CHRIST (Deemed to be University), Karnataka, Bangalore, India
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Augmented Reality-Enabled IoT Devices for Wireless Communication
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[No abstract available]
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Ramasamy S.S.; Chokkanathan K.; Phaphuangwittayakul A.; Vijayalakshmi S.
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Bio-Inspired Computational Paradigms: Security and Privacy in Dynamic Smart Networks, pp. 76-96.
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CRC Press
Date
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2024-01-01
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<a href="https://doi.org/10.1201/9781003248545-5" target="_blank" rel="noreferrer noopener">https://doi.org/10.1201/9781003248545-5</a>
<br /><br /><a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85198236236&doi=10.1201%2F9781003248545-5&partnerID=40&md5=1b6a982fcc2d272e2982d05cf7cad890" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85198236236&doi=10.1201%2f9781003248545-5&partnerID=40&md5=1b6a982fcc2d272e2982d05cf7cad890</a>
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ISBN: 978-104004450-6; 978-103216429-8
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Online
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English
Type
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Book chapter
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Ramasamy S.S., International College of Digital Innovation, Chiang Mai University, Chiang Mai, Thailand; Chokkanathan K., Madanapalle Institute of Technology and Science, Madanapalle, India; Phaphuangwittayakul A., International College of Digital Innovation, Chiang Mai University, Chiang Mai, Thailand; Vijayalakshmi S., Christ University, Pune, India
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The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/.
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Book Chapter
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The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/.
Title
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Analysis and Prediction of Suitable Model for Coconut Production Estimates in South Indian States
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Coconut production; Forecasting techniques; Karnataka; Kerala; MAPE; Tamil Nadu
Description
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The study attempts to forecast coconut production in major coconut-producing states in India. The future projections on coconut production have been calculated based on yearly data for 73 years (194950 to 202122) accessed from the database of Indiastat (2022). We have used prominent forecasting techniques for the purpose and a suitable model has been chosen based on the lowest results of MAPE. The damped linear trend has been chosen for forecasting coconut production in Karnataka whereas Differenced first-order Auto Regressive model with drift has been adopted for Kerala and Karnataka. This study has considered a large dataset compared to other existing works and has chosen states that produce coconut on a large scale in India. Along with this, this study also attempts to find which state will produce more nuts for the Indian coconut industry, which can help the concerned stakeholders to take necessary decisions. Future projections depict that Kerala will continue to be the largest producer of coconut and Karnataka will show remarkable performance in coconut production during the upcoming four years post-study period. The Author(s), under exclusive license to Springer Nature Switzerland AG 2024.
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Gayathri S.P.; Kappil S.R.; Vijayalakshmi S.; Sahoo A.K.
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Studies in Systems, Decision and Control, Vol-508, pp. 219-230.
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Springer Science and Business Media Deutschland GmbH
Date
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2024-01-01
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<a href="https://doi.org/10.1007/978-3-031-43601-7_14" target="_blank" rel="noreferrer noopener">https://doi.org/10.1007/978-3-031-43601-7_14</a>
<br /><br /><a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85198353072&doi=10.1007%2F978-3-031-43601-7_14&partnerID=40&md5=4dc9389dc741a7a4cfb2a4d1e4e87aa7" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85198353072&doi=10.1007%2f978-3-031-43601-7_14&partnerID=40&md5=4dc9389dc741a7a4cfb2a4d1e4e87aa7</a>
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ISSN: 21984182
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Online
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English
Type
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Book chapter
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Gayathri S.P., Department of Computer Science, Government Arts College for Women, Tamil Nadu, Nilakottai, India; Kappil S.R., Department of Data Science, Christ University, Bengaluru, India; Vijayalakshmi S., Department of Data Science, Christ University, Bengaluru, India; Sahoo A.K., Centre for International Trade and Development, Jawaharlal Nehru University, Delhi, India
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Dublin Core
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Title
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Book Chapter
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Dublin Core
The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/.
Title
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Genetic Algorithms for Wireless Network Security
Description
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[No abstract available]
Creator
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Vijayalakshmi S.; Savita
Source
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Bio-Inspired Computational Paradigms: Security and Privacy in Dynamic Smart Networks, pp. 150-164.
Publisher
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CRC Press
Date
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2024-01-01
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<a href="https://doi.org/10.1201/9781003248545-10" target="_blank" rel="noreferrer noopener">https://doi.org/10.1201/9781003248545-10</a>
<br /><br /><a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85198273758&doi=10.1201%2F9781003248545-10&partnerID=40&md5=42c1ef76bb2abdbab9955086dce3acaf" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85198273758&doi=10.1201%2f9781003248545-10&partnerID=40&md5=42c1ef76bb2abdbab9955086dce3acaf</a>
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Restricted Access
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ISBN: 978-104004450-6; 978-103216429-8
Format
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Online
Language
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English
Type
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Book chapter
Coverage
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Vijayalakshmi S., Christ University, Pune, India; Savita, Galgotias University, Greater Noida, India
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Dublin Core
The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/.
Title
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Book Chapter
Book Chapter
Faculty Publications- Book Chapter
Dublin Core
The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/.
Title
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A Multilayered Feed-Forward Neural Network Architecture for Rainfall Forecasting
Description
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The amount of rain received in a particular demographic region in a given time interval is called the rainfall. Rainfall is a natural and complex process and has significance in different domains including agriculture, transport, disaster management, and natural calamities resilience [1]. Abnormal rainfall affects every facet of humans and all other living beings of the world and also has a great impact in wellbeing and financial disruptions of a country. Accurate rainfall predictions at regular time intervals are always important to issue warnings about likelihood of any disaster about to happen. This also provides people a time for strategic planning in their work and precautions at time of adversity [2]. It is worth noting that rainfall forecasting does not only have an impact in day-to-day life, but more importantly for tropical countries like India where the chief occupation being agriculture and also for various other industries. It largely helps in disaster management and recovery process as well. The rainfall being a variable over time, geography and atmospheric conditions makes the forecasting considerably difficult [3]. Rainfall forecasting keeps a person informed about the likelihood of rainfall the forthcoming day, week, or month which enable long-time planning and on the other way; hourly prediction helps for shortterm planning such as enforcing traffic measures. Literature has seen various studies in this domain using predictive machine learning (ML) algorithms such as neural networks (NNs), Genetic algorithms, and Fuzzy-based systems [4]. 2024 Sachi Nandan Mohanty, Preethi Nanjundan and Tejaswini Kar.
Creator
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Rajagopal M.; Ramkumar S.
Source
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Artificial Intelligence in Forecasting: Tools and Techniques, pp. 31-48.
Publisher
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CRC Press
Date
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2024-01-01
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<a href="https://doi.org/10.1201/9781003399292-2" target="_blank" rel="noreferrer noopener">https://doi.org/10.1201/9781003399292-2</a>
<br /><br /><a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85196000481&doi=10.1201%2F9781003399292-2&partnerID=40&md5=0c924b886062814d56a63c12796007bf" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85196000481&doi=10.1201%2f9781003399292-2&partnerID=40&md5=0c924b886062814d56a63c12796007bf</a>
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ISBN: 978-104005150-4; 978-103250615-9
Format
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Online
Language
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English
Type
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Book chapter
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Rajagopal M., School of Business and Management, CHRIST (Deemed to be University), Bangalore, India; Ramkumar S., Department of Computer Science, School of Sciences, CHRIST (Deemed to be University), Bangalore, India