527
20
16488
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Dublin Core
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Title
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Faculty Publications
Conference Paper
Faculty Publications- Conference Papers
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Chattopadhyay, Shrabana; Bhattacharjee, Ripon; Jana, Aritra; De, Pubali
Title
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Mobilizing Automated Vehicles: Harmonizing the Intersection of Technological Innovations and Legal Regulations
Date
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01-01-2026
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Lecture Notes in Networks and Systems;Volume;1513 LNNS;pp.107-129
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<a href="https://doi.org/10.1007/978-981-96-8632-2_7" target="_blank" rel="noreferrer noopener">https://doi.org/10.1007/978-981-96-8632-2_7</a> <br /><br /><a href="https://www.scopus.com/pages/publications/105028260534?origin=resultslist" target="_blank" rel="noreferrer noopener">https://www.scopus.com/pages/publications/105028260534?origin=resultslist</a>
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Chattopadhyay S., Department of Law (IIIJS), University of Engineering and Management, Kolkata, India; Bhattacharjee R., National Law University, Tripura, India; Jana A., Christ University, Bangalore, India; De P., Institute of Engineering and Management (IEM), Kolkata, University of Engineering and Management, Kolkata, India
Description
An account of the resource
There will be significant shifts in transportation with the introduction of autonomous vehicles (AVs), which will increase efficiency, safety, and environmental friendliness. But these technologies can only be used to their full potential if technological breakthroughs are seamlessly integrated with strong legal regulations. The article delves into the ways in which technological advances and legal frameworks meet, highlighting how important regulatory measures are for ensuring the secure use of AVs. In addition, the article delves into the current legal framework around AVs, drawing attention to the difficulties caused by inconsistent regulations and the necessity for flexible rules that can stay up with the fast-paced advancements in technology. The purpose of this article is to examine current policies and case studies to shed light on how to effectively integrate technology advancements with legal requirements to create conditions that are favorable to the broad use of autonomous vehicles. The results highlight the need for manufacturers, lawmakers, and the general public to work together for the sake of society's safety and well-being during the shift to autonomous transportation. The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2026.
Subject
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Automated vehicle; Infrastructure; Legal regulation; Policy measures; Sustainability; Technological innovation
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Springer Science and Business Media Deutschland GmbH
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A related resource
ISSN: 23673370; ISBN: 978-981968631-5;
Language
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English
Type
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Conference paper
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Restricted Access; Hardcopy may be available in the library
Format
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online
-
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Title
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Faculty Publications
Book Chapter
Faculty Publications- Book Chapter
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Adhegaonkar, Vikas; Goswami, Chinmoy; Thakur, Abhijeet; Varghese, Nikhil
Title
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Modalities in data: understanding text, images, and audio
Date
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01-01-2025
Source
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Multimodal Learning Using Heterogeneous Data;pp.31-41
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<a href="https://doi.org/10.1016/B978-0-443-27528-9.00012-7" target="_blank" rel="noreferrer noopener">https://doi.org/10.1016/B978-0-443-27528-9.00012-7</a> <br /><br /><a href="https://www.scopus.com/pages/publications/105032946735?origin=resultslist" target="_blank" rel="noreferrer noopener">https://www.scopus.com/pages/publications/105032946735?origin=resultslist</a>
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Adhegaonkar V., School of Business and Management Balaji Institute of Technology & Management, Sri Balaji University, Pune, India; Goswami C., School of Business and Management Balaji Institute of Technology & Management, Sri Balaji University, Pune, India; Thakur A., School of Business and Management Balaji Institute of Technology & Management, Sri Balaji University, Pune, India; Varghese N., Department of Business Management, Christ University, Bengaluru, India
Description
An account of the resource
Data modalities, encompassing diverse forms such as text, audio, image, and video, play a pivotal role in shaping modern data analysis and machine learning applications. Each modality represents information in a unique format, requiring specific processing and interpretation methods. The integration of multiple modalities, known as multimodal data, enhances decision-making and predictive accuracy, particularly in complex systems like sentiment analysis, speech recognition, and medical diagnostics. Deep learning techniques have facilitated the seamless fusion of multimodal data, enabling a more comprehensive understanding across various fields, from healthcare to social media analytics. For example, combining text with images improves sentiment analysis, while integrating audio and video aids in more accurate speech recognition. However, the incorporation of multimodal data presents challenges, including data heterogeneity, synchronization issues, and dimensionality concerns. Data formats differ across modalities, and aligning them for cohesive analysis requires sophisticated algorithms and computational power. Despite these obstacles, multimodal data offers significant benefits, such as enhanced customer experience in business and increased diagnostic accuracy in health care. Furthermore, the rise of large datasets and artificial intelligence (AI) technologies has fueled innovation, enabling the development of more efficient models capable of uncovering intricate relationships within data. This chapter discusses various modalities, their applications, and the technological advancements driving their integration. It also highlights the challenges in multimodal data processing and the solutions being developed to address these complexities, offering valuable insights for businesses, researchers, and AI practitioners. 2026 Elsevier Inc. All rights reserved.
Subject
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audio; Data modality; image; multimodal learning; social media analytics; video
Publisher
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Elsevier
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ISBN: 978-044327528-9; 978-044327529-6;
Language
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English
Type
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Book chapter
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Restricted Access; Hardcopy may be available in the library
Format
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online
-
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Title
A name given to the resource
Conference Papers
Conference Paper
Faculty Publications- Conference Papers
Dublin Core
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Title
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Model and Algorithm of Multimodal Transportation in Logistics Transportation Based on Particle Swarm Optimization
Subject
The topic of the resource
Logistics transportation; Multimodal transport model; Particle swarm optimization
Description
An account of the resource
With the rapid improvement of market economy and modern logistics technique, the logistics distribution link is receiving more and more attention, and the logistics distribution path question in distribution has become the core question in logistics distribution. Study the optimization of logistics distribution path. Logistics distribution path optimization needs to find an optimal distribution route with less distribution vehicles and the shortest total length of the path, and has the rapidity of distribution. The traditional algorithm takes a long time to search the optimal route, which makes it difficult to find the optimal distribution route, resulting in high logistics distribution costs. In order to quickly find the optimal distribution route and improve the quality of logistics service, a logistics model based on particle swarm optimization algorithm is proposed. The group is composed of several non-intelligent individuals or groups of individuals. Each individual's behavior follows certain simple rules and has no intelligence; Individuals or groups of individuals can cooperate to solve questions through certain principles of message exchange, thus showing the behavioral characteristics of collective intelligence. After research, the algorithm in this paper is effective and suitable for wide application in practice. 2023 IEEE.
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Babu K.; Alawady A.H.; Kaur I.; Subramani K.; Ahila R.; Gunapriya B.
Source
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2023 2nd International Conference on Smart Technologies for Smart Nation, SmartTechCon 2023, pp. 814-818.
Publisher
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Institute of Electrical and Electronics Engineers Inc.
Date
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2023-01-01
Identifier
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<a href="https://doi.org/10.1109/SmartTechCon57526.2023.10391805" target="_blank" rel="noreferrer noopener">https://doi.org/10.1109/SmartTechCon57526.2023.10391805</a>
<br /><br /><a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85184795373&doi=10.1109%2FSmartTechCon57526.2023.10391805&partnerID=40&md5=9880085ec19eade067740c00c5a0531d" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85184795373&doi=10.1109%2fSmartTechCon57526.2023.10391805&partnerID=40&md5=9880085ec19eade067740c00c5a0531d</a>
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ISBN: 979-835030541-8
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Online
Language
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English
Type
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Conference paper
Coverage
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Babu K., Department of Computational Intelligence, SRM Institute of Science & Technology, Tamilnadu, Kattankulathur, India; Alawady A.H., College of Technical Engineering, The Islamic University, Najaf, Iraq; Kaur I., GCET, Greater Noida, India; Subramani K., School of Business and Management, CHRIST (Deemed to be University) Bangalore, Yeshwanthpur Campus, Karnataka, Bangalore, India; Ahila R., New Prince Shri Bhavani College Of Engineering And Technology, Tamilnadu, Chennai, India; Gunapriya B., Department of Electrical and Electronics Engineering, New Horizon College of Engineering, Bangalore, India
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https://archives.christuniversity.in/files/original/5dcf014292b302517642d0315e0bb08a.jpg
0b6dfeeadbd8dbf97f5aef738454f6b9
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Title
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Patents
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Patent
Description
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Patent
Patent
Patents
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Title
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Model between mind share branding factors and trustworthiness /
Subject
The topic of the resource
Academic Model Building ( Management )
Description
An account of the resource
Patent Number: 202111055024, Applicant: Dr.Vikas Singla.
The importance of Mindshare branding (MB) strategy in building long-term and sustainable psychological links with consumers had been sufficiently highlighted in literature. However, very few research attempted to provide a structured tool for its measurement. This study proposed a 13-point four-factor multidimensional scale which could be used to measure MB formally. Dimensions measuring MB were derived from literature and then examined on different brands in order to achieve a reliable and valid scale.
Creator
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Gupta, Gaurav.
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<a href="https://drive.google.com/file/d/1my41i9D5364WhMRYEOrv6nppWjvWSIo6/view" target="_blank" title="Model between mind share branding factors and trustworthiness /" rel="noreferrer noopener">https://drive.google.com/file/d/1my41i9D5364WhMRYEOrv6nppWjvWSIo6/view</a>
Publisher
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Intellectual Property India
Date
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2021-05-09
Language
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English
Type
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Patent
-
https://archives.christuniversity.in/files/original/9d6ecae90acf9d0a22ed2dacc7c3aba0.jpg
0b6dfeeadbd8dbf97f5aef738454f6b9
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Title
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Patents
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Patent
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Patent
Patent
Patents
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Title
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Model between mind share branding factors and trustworthiness /
Subject
The topic of the resource
Academic Model Building ( Management )
Description
An account of the resource
Patent Number: 202111055024, Applicant: Dr.Vikas Singla.
The importance of Mindshare branding (MB) strategy in building long-term and sustainable psychological links with consumers had been sufficiently highlighted in literature. However, very few research attempted to provide a structured tool for its measurement. This study proposed a 13-point four-factor multidimensional scale which could be used to measure MB formally. Dimensions measuring MB were derived from literature and then examined on different brands in order to achieve a reliable and valid scale.
Creator
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Joshi, Mahesh Chandra.
Source
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<a href="https://drive.google.com/file/d/1my41i9D5364WhMRYEOrv6nppWjvWSIo6/view" target="_blank" title="Model between mind share branding factors and trustworthiness /" rel="noreferrer noopener">https://drive.google.com/file/d/1my41i9D5364WhMRYEOrv6nppWjvWSIo6/view</a>
Publisher
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Intellectual Property India
Date
A point or period of time associated with an event in the lifecycle of the resource
2021-05-09
Language
A language of the resource
English
Type
The nature or genre of the resource
Patent
-
https://archives.christuniversity.in/files/original/54f769d45b9621ed9070bb841db49476.jpg
0b6dfeeadbd8dbf97f5aef738454f6b9
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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Patents
Subject
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Patent
Description
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Patent
Patent
Patents
Dublin Core
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Title
A name given to the resource
Model between mind share branding factors and trustworthiness /
Subject
The topic of the resource
Academic Model Building ( Management )
Description
An account of the resource
Patent Number: 202111055024, Applicant: Dr.Vikas Singla.
The importance of Mindshare branding (MB) strategy in building long-term and sustainable psychological links with consumers had been sufficiently highlighted in literature. However, very few research attempted to provide a structured tool for its measurement. This study proposed a 13-point four-factor multidimensional scale which could be used to measure MB formally. Dimensions measuring MB were derived from literature and then examined on different brands in order to achieve a reliable and valid scale.
Creator
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Jha, Babita.
Source
A related resource from which the described resource is derived
<a href="https://drive.google.com/file/d/1my41i9D5364WhMRYEOrv6nppWjvWSIo6/view" target="_blank" title="Model between mind share branding factors and trustworthiness /" rel="noreferrer noopener">https://drive.google.com/file/d/1my41i9D5364WhMRYEOrv6nppWjvWSIo6/view</a>
Publisher
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Intellectual Property India
Date
A point or period of time associated with an event in the lifecycle of the resource
2021-05-09
Language
A language of the resource
English
Type
The nature or genre of the resource
Patent
-
https://archives.christuniversity.in/files/original/7963047e7d7c5a36221a5fabfcc292ef.jpg
0b6dfeeadbd8dbf97f5aef738454f6b9
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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Patents
Subject
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Patent
Description
An account of the resource
Patent
Patent
Patents
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
Model between mind share branding factors and trustworthiness /
Subject
The topic of the resource
Academic Model Building ( Management )
Description
An account of the resource
Patent Number: 202111055024, Applicant: Dr.Vikas Singla.
The importance of Mindshare branding (MB) strategy in building long-term and sustainable psychological links with consumers had been sufficiently highlighted in literature. However, very few research attempted to provide a structured tool for its measurement. This study proposed a 13-point four-factor multidimensional scale which could be used to measure MB formally. Dimensions measuring MB were derived from literature and then examined on different brands in order to achieve a reliable and valid scale.
Creator
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Giri, Pratibha.
Source
A related resource from which the described resource is derived
<a href="https://drive.google.com/file/d/1my41i9D5364WhMRYEOrv6nppWjvWSIo6/view" target="_blank" title="Model between mind share branding factors and trustworthiness /" rel="noreferrer noopener">https://drive.google.com/file/d/1my41i9D5364WhMRYEOrv6nppWjvWSIo6/view</a>
Publisher
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Intellectual Property India
Date
A point or period of time associated with an event in the lifecycle of the resource
2021-05-09
Language
A language of the resource
English
Type
The nature or genre of the resource
Patent
-
https://archives.christuniversity.in/files/original/b0e2d5c436a244e26f085fc58cf0eb74.jpg
0b6dfeeadbd8dbf97f5aef738454f6b9
Dublin Core
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Title
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Patents
Subject
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Patent
Description
An account of the resource
Patent
Patent
Patents
Dublin Core
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Title
A name given to the resource
Model between mind share branding factors and trustworthiness /
Subject
The topic of the resource
Academic Model Building ( Management )
Description
An account of the resource
Patent Number: 202111055024, Applicant: Dr.Vikas Singla.
The importance of Mindshare branding (MB) strategy in building long-term and sustainable psychological links with consumers had been sufficiently highlighted in literature. However, very few research attempted to provide a structured tool for its measurement. This study proposed a 13-point four-factor multidimensional scale which could be used to measure MB formally. Dimensions measuring MB were derived from literature and then examined on different brands in order to achieve a reliable and valid scale.
Creator
An entity primarily responsible for making the resource
Dhaundiyal, Pankaj.
Source
A related resource from which the described resource is derived
<a href="https://drive.google.com/file/d/1my41i9D5364WhMRYEOrv6nppWjvWSIo6/view" target="_blank" title="Model between mind share branding factors and trustworthiness /" rel="noreferrer noopener">https://drive.google.com/file/d/1my41i9D5364WhMRYEOrv6nppWjvWSIo6/view</a>
Publisher
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Intellectual Property India
Date
A point or period of time associated with an event in the lifecycle of the resource
2021-05-09
Language
A language of the resource
English
Type
The nature or genre of the resource
Patent
-
https://archives.christuniversity.in/files/original/4015c9c029c82c1b94fbe0ae51516faa.jpg
0b6dfeeadbd8dbf97f5aef738454f6b9
Dublin Core
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Title
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Patents
Subject
The topic of the resource
Patent
Description
An account of the resource
Patent
Patent
Patents
Dublin Core
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Title
A name given to the resource
Model between viral branding factors and trustworthiness /
Subject
The topic of the resource
Academic Model Building ( Management )
Description
An account of the resource
Patent Number: 202211039578, Applicant: Dr. Vikas Singla.
The importance of Viral branding (VB) strategy in building long-term and sustainable psychological links with consumers had been sufficiently highlighted in literature. However, very few research attempted to provide a structured tool for its measurement. This study proposed a 13- point four-factor multidimensional scale which could be used to measure VB formally. Dimensions measuring VB were derived from literature and then examined on different brands in order to achieve a reliable and valid scale.
Creator
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Dawar, Gaurav.
Source
A related resource from which the described resource is derived
<a href="https://drive.google.com/file/d/1wSkh_EQl0ki7YdREE6N7UU41c2RnCG0M/view" target="_blank" title="Model between viral branding factors and trustworthiness /" rel="noreferrer noopener">https://drive.google.com/file/d/1wSkh_EQl0ki7YdREE6N7UU41c2RnCG0M/view</a>
Publisher
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Intellectual Property India
Date
A point or period of time associated with an event in the lifecycle of the resource
2022-05-22
Language
A language of the resource
English
Type
The nature or genre of the resource
Patent
-
Dublin Core
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Title
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Articles
Article
Faculty Publications -Articles
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Title
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Model independent analysis in (?, n) reactions using deuterium targets
Subject
The topic of the resource
Deuteron; Non-destructive testing of nuclear materials; Photodisintegration; Photon
Description
An account of the resource
Photonuclear reactions play an important role in nuclear physics, astrophysics and in various applications such as non-destructive measurement of nuclear materials (NDT). The study of (?, n) reactions using deuterium targets i.e., photodisintegration of deuterons in addition to all the other (?, n) reactions, is of considerable interest to these fields. In this contribution, we have studied the photodisintegration of deuterons with unpolarized photons. The angular dependence of the differential cross section is studied by expressing it in terms of Legendre polynomials. The analysis of differential cross-section is presented using the model-independent irreducible tensor formalism. 2021
Creator
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S P S.; M K.
Source
A related resource from which the described resource is derived
Materials Today: Proceedings, Vol-54, pp. 818-819.
Publisher
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Elsevier Ltd
Date
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2022-01-01
Identifier
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<a href="https://doi.org/10.1016/j.matpr.2021.11.098" target="_blank" rel="noreferrer noopener">https://doi.org/10.1016/j.matpr.2021.11.098</a>
<br /><br /><a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85127877636&doi=10.1016%2Fj.matpr.2021.11.098&partnerID=40&md5=006861b7e7bc058eb79c4eb53bedd59d" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85127877636&doi=10.1016%2fj.matpr.2021.11.098&partnerID=40&md5=006861b7e7bc058eb79c4eb53bedd59d</a>
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Restricted Access
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ISSN: 22147853
Format
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Online
Language
A language of the resource
English
Type
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Article
Coverage
The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant
S P S., School of Engineering and Technology, Christ University, Bengaluru, 560074, India; M K., School of Engineering and Technology, Christ University, Bengaluru, 560074, India, K S School of Engineering and Management, Bengaluru, 560109, India
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Title
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Conference Papers
Conference Paper
Faculty Publications- Conference Papers
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Title
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Model independent approach to photodisintegration of 7Li at the range of energies of interest to BBN
Description
An account of the resource
One of the elements that was synthesized primordially in the standard Big Bang Nucleosynthesis is lithium. Lithium, being fragile gets easily destroyed at relatively low temperatures in the mixing process between stellar surface and hot internal layers. So that, at the end of the stellar lifetime the lithium content is believed to be depleted. Series of experimental measurements on lithium isotopes were carried out at High Intensity Gamma Ray Source (HIGS) at Duke Free Electron Laser Laboratory. More recently experiments [1]-[2] were performed, to measure the differential cross section of the photo-neutron reaction channel in photodisintegration of 7Li, where the progeny nuclei is in the ground state as well as in excited states. The purpose of present contribution is to study the reaction channel 7Li + ? ? 6Li + n using linearly polarized photons.The model independent irreducible tensor formalism [3]-[5] will be used to study the differential cross section of the reaction. We study the angular dependence of differential cross section by expressing differential cross section in terms of legendre polynomials. In view of the several theoretical and ongoing experimental studies, a detailed theoretical study of the spin structure of the amplitudes in 7Li+ ? ? 6Li+ n and their expansion in terms of'electric' and 'magnetic' amplitudes is needed to analyze the measurements of spin observables as well as differential cross section, which leads to a better understanding of the problem at astrophysical energies. 2022 Institute of Physics Publishing. All rights reserved.
Creator
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Aswathi V.; Shastri V.; Shilpashree S.P.
Source
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Journal of Physics: Conference Series, Vol-2156, No. 1
Publisher
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Institute of Physics
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2022-01-01
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<a href="https://doi.org/10.1088/1742-6596/2156/1/012213" target="_blank" rel="noreferrer noopener">https://doi.org/10.1088/1742-6596/2156/1/012213</a>
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All Open Access; Gold Open Access
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ISSN: 17426588
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Online
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English
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Conference paper
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Aswathi V., School of Engineering and Technology, CHRIST University, Bangalore, India; Shastri V., School of Engineering and Technology, CHRIST University, Bangalore, India; Shilpashree S.P., School of Engineering and Technology, CHRIST University, Bangalore, India
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Conference Papers
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Faculty Publications- Conference Papers
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Model independent approach to proton polarization in photodisintegration of deuteron
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Deuteron photodisintegration; Model independent theoretical formalism; Proton polarization
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In addition to other photonuclear reactions, the study of photonuclear reactions on deuterium targets is important for laser physics, nuclear physics, astrophysics, and a number of applications, including nondestructive testing of nuclear materials. In this paper, we have carried out a model independent analysis of proton polarization in photodisintegration of deuterons with initially unpolarized beam and unpolarized target. The angular dependence of the polarization is studied by expressing it in terms of multipole amplitudes. 2023 Elsevier Ltd. All rights reserved.
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Kusuma M.; Shastri V.; Shilpashree S.P.
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Materials Today: Proceedings, Vol-100, pp. 129-131.
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Elsevier Ltd
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2023-01-01
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<a href="https://doi.org/10.1016/j.matpr.2023.05.383" target="_blank" rel="noreferrer noopener">https://doi.org/10.1016/j.matpr.2023.05.383</a>
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ISSN: 22147853
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Online
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English
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Conference paper
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Kusuma M., K S School of Engineering and Management, Karnataka, Bengaluru, 560109, India, School of Engineering and Technology, CHRIST (Deemed to be University), Karnataka, Bengaluru, 560074, India; Shastri V., School of Engineering and Technology, CHRIST (Deemed to be University), Karnataka, Bengaluru, 560074, India; Shilpashree S.P., School of Engineering and Technology, CHRIST (Deemed to be University), Karnataka, Bengaluru, 560074, India
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Articles
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Model of cross-cultural adjustment and view of life-career among Japanese expatriate spouses in India
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Cross-cultural adjustment; Demands; Expatriate spouses; Resources; View of life-career
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In the globalized economy, it is necessary to consider expatriates cross-cultural adjustment, which is affected by their spouses, whose cross-cultural adjustment should not be neglected. We examined a model of cross-cultural adjustment among Japanese spouses in India. We hypothesized that demands (e.g., cultural differences, language immaturity) and resources (e.g., spouses personality/agreeableness, perceived social support) negatively and positively affect cross-cultural adjustment, respectively. In turn, cross-cultural adjustment positively affects subjective happiness and intent to stay. In addition, cross-cultural adjustment consists a part of life-career perspective for expatriate spouses who quit their job when go to abroad. To examine the hypotheses, we use a mixed methods approach (QUAN?QUAL) that uses multiple variables and sampling to collect quantitative and qualitative data over two phases sequentially. First, from August to October 2018, a survey using a web-based questionnaire was conducted in four areas in India: New Delhi, Mumbai, Chennai, and Bengaluru. Responses from 105 participants, who are parents of Japanese school children or members of a parenting support group were received. Second, from October to December 2018, the interview data for 17 participants were collected at Bengaluru. To confirm the hypothesized model, we tested a structural equations modeling (SEM) analysis. Additionally, the interview transcript data were analyzed with a modified version of the Grounded Theory approach (M-GTA). The Results demonstrated that Japanese expatriate spouses who had difficulties in communicating in English and felt large cultural differences, decreased their adjustment, their subjective happiness was lowered, and they wanted to return to their home country early. However, the more the personality was cooperative and compassionate, and the more they worked to adjust to their international life; their subjective happiness increased. Additionally, expatriate spouses obtained the concept of view of life-career. The view of life-career included cross-cultural adjustment. Cross-cultural adjustment affects positive view of life-career that will lead to smooth re-employment after returning to Japan. 2020, Springer Science+Business Media, LLC, part of Springer Nature.
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Matsumoto M.; Gopal B.
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Current Psychology, Vol-41, No. 9, pp. 5935-5947.
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Springer
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2022-01-01
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<a href="https://doi.org/10.1007/s12144-020-01100-9" target="_blank" rel="noreferrer noopener">https://doi.org/10.1007/s12144-020-01100-9</a>
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ISSN: 10461310
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Online
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English
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Article
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Matsumoto M., Department of Psychology, CHRIST(Deemed to be University), Hosur Road, Karnataka, Bengaluru, 560029, India, Aichi Mizuho Junior College, 13, 2, Shunko, Mizuho, Aichi, Nagoya, 467-0867, Japan; Gopal B., Department of Psychology, CHRIST(Deemed to be University), Hosur Road, Karnataka, Bengaluru, 560029, India
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https://archives.christuniversity.in/files/original/84f34ab8dce28da3865101d50ae8a78a.jpg
0b6dfeeadbd8dbf97f5aef738454f6b9
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Patents
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Patent
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Patent
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Model of ICT based blended education system: Productive implementation for sector skills development /
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Computer Science
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Patent Number: 202141055854, Applicant: Suplab Podder.
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Thomas, Benny.
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<a href="https://drive.google.com/file/d/1-NKCLGNEoDMlJmw9uqvanTANbHHSxM_y/view" target="_blank" title="Model of ICT based blended education system: Productive implementation for sector skills development /" rel="noreferrer noopener">https://drive.google.com/file/d/1-NKCLGNEoDMlJmw9uqvanTANbHHSxM_y/view</a>
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Intellectual Property India
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2022-05-13
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English
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Patent
-
https://archives.christuniversity.in/files/original/90e1325b0342b384ac208eeaad6fa870.jpg
0b6dfeeadbd8dbf97f5aef738454f6b9
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Patent
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Model of ICT based blended education system: Productive implementation for sector skills development /
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Computer Science
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Patent Number: 202141055854, Applicant: Suplab Podder.
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Samanta, Debabrata.
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<a href="https://drive.google.com/file/d/1-NKCLGNEoDMlJmw9uqvanTANbHHSxM_y/view" target="_blank" title="Model of ICT based blended education system: Productive implementation for sector skills development /" rel="noreferrer noopener">https://drive.google.com/file/d/1-NKCLGNEoDMlJmw9uqvanTANbHHSxM_y/view</a>
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Intellectual Property India
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2022-05-13
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English
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Patent
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Conference Papers
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Model Selection Procedure in Alleviating Drawbacks of the Electronic Whiteboard
Subject
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Deep Learning; Electronic Whiteboard; Learning; Machine Learning; Transfer Learning
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Deep learning has paved the way for critical and revolutionary applications in almost every field of life in general. Ranging from engineering to healthcare, machine learning and deep learning has left its mark as the state-of-the-art technology application which holds the epitome of a reasonable high benchmarked solution. Incorporating neural network architectures into applications has become a common part of any software development process. In this paper, we perform a comparative analysis on the different transfer learning approaches in the domain of hand-written digit recognition. We use two performance measures, loss and accuracy. We later visualize the different results for the training and validation datasets and reach to a unison conclusion. This paper aims to target the drawbacks of the electronic whiteboard with simultaneous focus on the suitable model selection procedure for the digit recognition problem. 2021 IEEE.
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Jha S.
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Proceedings - 2021 3rd International Conference on Advances in Computing, Communication Control and Networking, ICAC3N 2021, pp. 319-322.
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Institute of Electrical and Electronics Engineers Inc.
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2021-01-01
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<a href="https://doi.org/10.1109/ICAC3N53548.2021.9725365" target="_blank" rel="noreferrer noopener">https://doi.org/10.1109/ICAC3N53548.2021.9725365</a>
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ISBN: 978-166543811-7
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Online
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English
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Conference paper
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Jha S., Christ University, School of Science, New Delhi, India
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Faculty Publications
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Eapen, Naived George; Joseph, Alwin
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Model Selection Strategies for Identifying Effective Energy Storage Systems
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01-01-2025
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Power Systems;Volume;Part F914;pp.197-231
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<a href="https://doi.org/10.1007/978-3-031-89459-6_11" target="_blank" rel="noreferrer noopener">https://doi.org/10.1007/978-3-031-89459-6_11</a> <br /><br /><a href="https://www.scopus.com/pages/publications/105018106758?origin=resultslist" target="_blank" rel="noreferrer noopener">https://www.scopus.com/pages/publications/105018106758?origin=resultslist</a>
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Eapen N.G., CHRIST (Deemed to be University), Maharashtra, Pune, India; Joseph A., CHRIST (Deemed to be University), Maharashtra, Pune, India
Description
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Energy is present in various forms in and around us. Capturing and storing energy from various sources have diverse challenges. Designing and developing energy storage systems are challenging, as various techniques are used to distribute energy from sources and to store for diverse use cases. Identifying the optimal and effective energy storage system requires the application of various model selection strategies. The success and adoption of effective energy storage systems can be identified with numerous factors, which include the systems efficiency, reliability, cost-effectiveness, and scalability. Various model selection strategies are available to compute and determine the effective energy storage mechanisms. Various researchers are planning and designing energy storage systems based on the insights from the data with the support of optimisation algorithms, mathematical models, and Artificial Intelligence (AI) and Machine Learning (ML) technologies. The chapter discusses the various model selection strategies for identifying effective models for energy storage systems. The Author(s), under exclusive license to Springer Nature Switzerland AG 2025.
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Effective; Energy; Identifying; Model; Selection; Storage; Strategies; Systems
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Springer Science and Business Media Deutschland GmbH
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ISSN: 16121287;
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English
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Book chapter
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online
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Eapen, Naived George; Joseph, Alwin
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Model Selection Strategies for Identifying Effective Energy Storage Systems
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01-01-2025
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Power Systems;Volume;Part F914;pp.197-231
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<a href="https://doi.org/10.1007/978-3-031-89459-6_11" target="_blank" rel="noreferrer noopener">https://doi.org/10.1007/978-3-031-89459-6_11</a> <br /><br /><a href="https://www.scopus.com/pages/publications/105018106758?origin=resultslist" target="_blank" rel="noreferrer noopener">https://www.scopus.com/pages/publications/105018106758?origin=resultslist</a>
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Eapen N.G., CHRIST (Deemed to be University), Maharashtra, Pune, India; Joseph A., CHRIST (Deemed to be University), Maharashtra, Pune, India
Description
An account of the resource
Energy is present in various forms in and around us. Capturing and storing energy from various sources have diverse challenges. Designing and developing energy storage systems are challenging, as various techniques are used to distribute energy from sources and to store for diverse use cases. Identifying the optimal and effective energy storage system requires the application of various model selection strategies. The success and adoption of effective energy storage systems can be identified with numerous factors, which include the systems efficiency, reliability, cost-effectiveness, and scalability. Various model selection strategies are available to compute and determine the effective energy storage mechanisms. Various researchers are planning and designing energy storage systems based on the insights from the data with the support of optimisation algorithms, mathematical models, and Artificial Intelligence (AI) and Machine Learning (ML) technologies. The chapter discusses the various model selection strategies for identifying effective models for energy storage systems. The Author(s), under exclusive license to Springer Nature Switzerland AG 2025.
Subject
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Effective; Energy; Identifying; Model; Selection; Storage; Strategies; Systems
Publisher
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Springer Science and Business Media Deutschland GmbH
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A related resource
ISSN: 16121287;
Language
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English
Type
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Book chapter
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Restricted Access; Hardcopy may be available in the library
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online
-
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Faculty Publications
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Kavya, N.S.; Mishra, Sai Swagat; Sahoo, Pradyumn Kumar
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Model-Independent Cosmography with Logarithmic Polynomial using Recent Observational Data
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01-01-2026
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Fortschritte der Physik;Volume;74;Issue;2;Article No.;e70078;
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<a href="https://doi.org/10.1002/prop.70078" target="_blank" rel="noreferrer noopener">https://doi.org/10.1002/prop.70078</a> <br /><br /><a href="https://www.scopus.com/pages/publications/105029545873?origin=resultslist" target="_blank" rel="noreferrer noopener">https://www.scopus.com/pages/publications/105029545873?origin=resultslist</a>
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Kavya N.S., Centre for Mathematical Needs, Department of Mathematics, CHRIST (Deemed to be University), Bengaluru, 560029, India; Mishra S.S., Department of Mathematics, School of Computer Science and Artificial Intelligence, SR University, Telangana, Warangal, 506371, India, Department of Mathematics, Birla Institute of Technology and Science, Pilani, Hyderabad Campus, Jawahar Nagar, Kapra Mandal, Medchal District, Telangana, 500078, India; Sahoo P.K., Department of Mathematics, Birla Institute of Technology and Science, Pilani, Hyderabad Campus, Jawahar Nagar, Kapra Mandal, Medchal District, Telangana, 500078, India
Description
An account of the resource
The accelerated expansion of the Universe remains a fundamental challenge in cosmology, motivating model-independent methods to reconstruct its expansion history without relying on specific dark energy models. Cosmography, which employs series expansions of cosmological observables around the present epoch, provides a powerful kinematic framework rooted in the cosmological principle. However, standard Taylor expansions suffer from limited convergence at high redshift, prompting the exploration of alternative expansions. In this work, logarithmic polynomial cosmography is investigated, which expands observables in powers of the logarithm of redshift, thereby enhancing convergence over a broad redshift range while maintaining physical insight. The logarithmic polynomial parameters are constrained using recent datasets, including gravitational-wave standard sirens, DESI DR2, cosmic chronometers, and multiple Type Ia supernova compilations (DES-SN5YR, Union3, Pantheon+SH0ES). The analysis demonstrates the efficacy of the logarithmic approach in accurately modeling the cosmic expansion history, providing an interpretable alternative to traditional cosmographic techniques. 2026 Wiley-VCH GmbH.
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cosmography; gravitational wave; logarithmic polynomial; supernova
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John Wiley and Sons Inc
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ISSN: 158208;
Language
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English
Type
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Article
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All Open Access; Bronze Open Access
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online
-
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Conference Papers
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Modeling a Logistic Regression based Sustained Approach for Cancer Detection
Subject
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Binary outcome; Cancer detection; Cancer diagnosis; Logistic regression; Survival analysis; Tumour classification
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This assessment and treatment of cancer may be done using logistic regression. To properly forecast whether a tumour is malignant or benign, the likelihood of binary outcomes may be simulated based on input variables and taken into account for factors like volume, topology and texture. It aids in risk assessment by estimating an individual's likelihood of developing cancer using factors like age-group, relatives past data, life choices and gene based markers. Logistic regression plays an important role in early cancer detection and creating screening tools that identify high-risk individuals through patent characteristics, biomarkers, and medical imaging data. Prediction of the probability of survival based on age, tumor characteristics, treatment options and comorbidities is useful for survival analysis. In a comparative study, logistic regression achieved a high accuracy of 97.4%, along with random forest, in cancer detection and diagnosis. 2023 IEEE.
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Pattanaik A.; Gour P.; Mishra S.; Sharma V.; Alabdeli H.
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International Conference for Technological Engineering and its Applications in Sustainable Development, ICTEASD 2023, pp. 262-267.
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Institute of Electrical and Electronics Engineers Inc.
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2023-01-01
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<a href="https://doi.org/10.1109/ICTEASD57136.2023.10585150" target="_blank" rel="noreferrer noopener">https://doi.org/10.1109/ICTEASD57136.2023.10585150</a>
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ISBN: 979-835033647-4
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Online
Language
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English
Type
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Conference paper
Coverage
The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant
Pattanaik A., KIIT Deemed to Be University, School of Computer Engineering, Odisha, Bhubaneswar, 751024, India; Gour P., KIIT Deemed to Be University, School of Computer Engineering, Odisha, Bhubaneswar, 751024, India; Mishra S., KIIT Deemed to Be University, School of Computer Engineering, Odisha, Bhubaneswar, 751024, India; Sharma V., CHRIST (Deemed to Be University), Computer Science Department, Delhi NCR, India; Alabdeli H., The Islamic University, College of Technical Engineering, Najaf, Iraq