468
20
16481
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Book Chapter
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Dublin Core
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Introduction to Data Mining and Knowledge Discovery
Description
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Data mining is a process of discovering some necessary hidden patterns from a large chunk of data that can be stored in multiple heterogeneous resources. It has an enormous use to make strategic decisions by business executives after analyzing the hidden truth of data. Data mining one of the steps in the knowledge-creation process. A data mining system consists of a data warehouse, a database server, a data mining engine, a pattern analysis module, and a graphical user interface. Data mining techniques include mining the frequent patterns and association learning rules with analysis, sequence analysis. Data mining technique is applicable on the top of various kinds of intelligent data storage systems such as data warehouses. It provides some analysis processes to make some useful strategic decisions. There are various issues and challenges faced by a data mining system in large databases. It provides a great place to work for data researchers and developers. Data mining is the process of classification, which can be executed based on the examination of training data (i.e., objects whose class label is predefined). With the help of an expert set of previous class objects with known class labels, it can find a model that can predict a class object with an unknown class label. These classification models can be classified into a variety of categories, including nearest neighbor, neural network, and others. Bayesian model, decision tree, neural network Random forest, decision trees Support vector machine, random forest SVM (support vector machine), for example. By analyzing the most common class among k closest samples, the K-Nearest Neighbor (KNN) technique aids in predicting of the class object with the unknown class label. Its an easy-to-use strategy that yields a solid classification result from any distribution. The Naive Bayes theory helps to perform the classification. It is one of the fastest classification algorithms, capable of efficiently handling real-world discrete data. 2022, The Author(s), under exclusive license to Springer Nature Switzerland AG.
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Chakraborty S.; Islam S.H.; Samanta D.
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EAI/Springer Innovations in Communication and Computing, pp. 1-22.
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Springer Science and Business Media Deutschland GmbH
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2022-01-01
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<a href="https://doi.org/10.1007/978-3-030-93088-2_1" target="_blank" rel="noreferrer noopener">https://doi.org/10.1007/978-3-030-93088-2_1</a>
<br /><br /><a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85130530211&doi=10.1007%2F978-3-030-93088-2_1&partnerID=40&md5=6b5879110b0b6b131d905a3d2931c8e9" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85130530211&doi=10.1007%2f978-3-030-93088-2_1&partnerID=40&md5=6b5879110b0b6b131d905a3d2931c8e9</a>
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ISSN: 25228595
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Online
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English
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Book chapter
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Chakraborty S., JIS University, Dum Dum Cantonment, India; Islam S.H., Indian Institute of Information Technology Kalyani, West Bengal, India; Samanta D., Department of Computer Science, CHRIST (Deemed to be University), Bangalore, India
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Faculty Publications
Book Chapter
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Balaji, K.; Alam, Mahfooz
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Introduction to International Financial Economics and Banking
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01-01-2025
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Policy Implications on International Financial Economics and Banking;pp.1-28
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<a href="https://doi.org/10.4018/979-8-3373-3725-8.ch001" target="_blank" rel="noreferrer noopener">https://doi.org/10.4018/979-8-3373-3725-8.ch001</a> <br /><br /><a href="https://www.scopus.com/pages/publications/105024643829?origin=resultslist" target="_blank" rel="noreferrer noopener">https://www.scopus.com/pages/publications/105024643829?origin=resultslist</a>
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Balaji K., Christ University, Bengaluru, India; Alam M., University of the People, United States
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The global financial economics and banking is emerging to be a very important element in an economical setting that becomes increasingly global. The primary objective is to deliberate how the capital flows, foreign exchange markets, interest rate parity and banking regulations have affected financial stability across nations and the economic growth. Background and theoretical structures that define the field of international finance and international banking that interconnect is outlined in the chapter. The chapter sheds some light on the dynamic entanglements between global financial institutions multinationals, central banks, and the overall global capital finance markets, cross-border risk evaluation set ups, and international liquidity indicators for macro-financial connections. The given work can contribute to the main part of the scholarly work by providing a complete image that combines the classical theory with the modern developments, hence, can be of use to scholars, policy makers, and financial professionals dealing with global financial markets. 2026 by IGI Global Scientific Publishing. All rights reserved.
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IGI Global
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ISBN: 979-833733727-2; 979-833733725-8;
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English
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Book chapter
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Faculty Publications
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Ramasamy, Gunavathi; Patkar, Kalpesh Dilip; Chery, Angelo P.
Title
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Introduction to multimodal learning and heterogenous data
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01-01-2025
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Multimodal Learning Using Heterogeneous Data;pp.1-15
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<a href="https://doi.org/10.1016/B978-0-443-27528-9.00002-4" target="_blank" rel="noreferrer noopener">https://doi.org/10.1016/B978-0-443-27528-9.00002-4</a> <br /><br /><a href="https://www.scopus.com/pages/publications/105032942844?origin=resultslist" target="_blank" rel="noreferrer noopener">https://www.scopus.com/pages/publications/105032942844?origin=resultslist</a>
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Ramasamy G., School of Sciences, Christ University, Karnataka, Bengaluru, India; Patkar K.D., School of Law, CHRIST University, Karnataka, Bengaluru, India; Chery A.P., School of Sciences, Christ University, Karnataka, Bengaluru, India
Description
An account of the resource
With the rising advancements in computation, technology, and many innovative evolutions coming into play, multimodal learning is one of the most rapidly growing fields within the domain of artificial intelligence and Machine Learning. It mainly focuses on integrating information from multiple sources called "modalities," allowing the systems to utilize the varieties of data to furtherenhance their understanding and performance. These so-called modalities make use of various types of data in the form of text, images, audio, and sensor readings. They are able to process complex information due to these modalities and thus provide more insightful results for the tasks that they are assigned. Another important aspect of multimodal learning is heterogeneous datadata that differs significantly in structure, format, and origin. This type of data falls mainly into three categories, comprising structured data, which is quite organized and therefore easy to locate or search, as in the case of the database records. Then comes unstructured data characterized by the free form, which comprises mainly social media posts, videos, and images. In addition, it has been possible to separate semistructured data. It incorporates some features of being ordered, like the metadata included in XML or JSON files; however, a fixed schema does not apply. The understanding of the kind is important because each type calls for a different problem, and each type poses new opportunities in analysis. Handling the heterogeneous data effectively is all the more important because the said system will be fed heterogeneous data, and if its combination and analysis go reasonably logically, it is expected to be a source for multimodal systems. The ability to merge structured, unstructured, and semistructured data improves performance across a wide range of tasks, including but not limited to common applications like image recognition, sentiment analysis, and decision-making processes in autonomous systems. For example, in the multimodal learning case, it would be beneficial for the system that learns customer feedback to merge textual reviews, audio recordings of customer interactions, and visual data from product images. It has been known to yield a much clearer picture of what customers really want and how they actually behave. This chapter introduces notions of multimodal learning as well as heterogeneous datatheir characteristics, types, sources, and practical usage. It will attempt to establish a basic understanding of these two concepts in relation to each other in order to support more advanced applications through machine learning. In a review of the possible compositions between multimodal learning as well as heterogeneous data, the chapter will introduce their importance regarding the creation of intelligent systems that can address complex, intricate tasks across differing fields. As we enter the data age, with multiple sources churning out data at unprecedented rates that appear to have no bounds, integration of multimodal learning with heterogeneous data cannot be ignored. This will be vital for coming up with flexible yet useful applications to real-world problems. This region is promising for systems that perceive, interpret, and respond to the variability of information in a fashion similar to human reasoning and decision-making. Future application of artificial intelligence in the life of man will result from continuous research in the areas of multimodal learning and heterogeneous data. 2026 Elsevier Inc. All rights reserved.
Subject
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artificial intelligence; data science; heterogeneous data; knowledge management; Machine learning; multimodal learning
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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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Faculty Publications
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Cheng, Xiaochun; Nanjundan, Preethi; George, Jossy P.
Title
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Introduction to natural language processing: Exploring techniques, applications, and challenges
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01-01-2025
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Introduction to Natural Language Processing: Exploring Techniques, Applications, and Challenges;pp.1-153
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<a href="https://www.scopus.com/pages/publications/105005569120?origin=resultslist" target="_blank" rel="noreferrer noopener">https://www.scopus.com/pages/publications/105005569120?origin=resultslist</a>
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Cheng X., Swansea University, Bay Campus, Wales, United Kingdom; Nanjundan P., CHRIST University, Pune Lavasa Campus, India; George J.P., CHRIST University, Delhi NCR, India
Description
An account of the resource
This book provides a thorough and comprehensive introduction to natural language processing (NLP), a critical field at the intersection of artificial intelligence and computational linguistics. It explores key techniques such as sentiment analysis, which enables the detection of emotional tone in text, machine translation, facilitating the conversion of text between languages, and named entity recognition (NER), which identifies and classifies entities like names, dates, and locations within text data. The book delves into deep learning advancements, particularly the use of neural networks such as transformers and recurrent models, which have revolutionized NLP applications. Readers will gain insights into how these models drive innovations in areas such as text classification, language generation, and speech recognition. In addition to technical concepts, the book also addresses the ethical considerations surrounding NLP, emphasizing the responsible use of AI technologies to mitigate issues like bias, misinformation, and privacy concerns. Practical case studies and real-world examples are included to illustrate how NLP is applied in various sectors, including healthcare, finance, and customer service. This book is an invaluable resource for students, researchers, and industry professionals seeking to understand the foundational concepts, cutting-edge advancements, and broader implications of NLP, equipping them with the knowledge to innovate and apply these technologies effectively in their respective fields. 2025 River Publishers. All rights reserved.
Subject
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Deep learning; Machine learning; Machine translation; Named entity recognition; Natural language processing; Sentiment analysis; Text classification
Publisher
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River Publishers
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ISBN: 978-877004828-6; 978-877004829-3;
Language
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English
Type
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Book
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Title
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Faculty Publications
Book Chapter
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Dublin Core
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Prakash, Priya; Reddy, K. Jayasankara
Title
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INTRODUCTION TO NEUROCOGNITIVE REHABILITATION
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01-01-2026
Source
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The Routledge International Handbook of Neurocognitive Rehabilitation: Practices, Innovations, and Future Directions;pp.2-23
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<a href="https://doi.org/10.4324/9781003646662-2" target="_blank" rel="noreferrer noopener">https://doi.org/10.4324/9781003646662-2</a> <br /><br /><a href="https://www.scopus.com/pages/publications/105028466310?origin=resultslist" target="_blank" rel="noreferrer noopener">https://www.scopus.com/pages/publications/105028466310?origin=resultslist</a>
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Prakash P., Christ (Deemed to be University), Bengaluru, India; Reddy K.J., Department of Psychology, Christ (Deemed to be University), Bengaluru, India
Description
An account of the resource
This chapter offers a comprehensive examination of the historical development, theoretical foundations, and contemporary directions in neurocognitive rehabilitation. Beginning with early clinical observations, including the cases of Phineas Gage and Alexander Lurias wartime studies, the narrative traces the evolution of the field from anecdotal case reports to empirically validated interventions. The discussion delineates core principles that underpin effective rehabilitation practice, including individualization and person-centered planning, goal-directed and functionally relevant interventions, evidence-based methodologies, interdisciplinary collaboration, and ecological validity. Established frameworks such as the cognitive neuropsychological model and the information processing model are critically appraised alongside the biopsychosocial perspective and holistic neuropsychological rehabilitation approaches. Particular attention is given to emerging trends, including the integration of advanced technologies such as virtual reality, tele-rehabilitation, and adaptive computerized training as well as their implications for accessibility, scalability, and equity in service delivery. The chapter further considers the relevance of these paradigms to forensic psychology and legal scholarship, highlighting their role in capacity assessment and the determination of criminal responsibility. Drawing upon recent systematic reviews and high-quality empirical studies, this synthesis underscores the necessity of combining scientific rigor with ethically grounded, person-centered care. While artificial intelligence tools supported aspects of drafting, the content has been critically curated and adapted to reflect current scholarship and clinical expertise. The chapter concludes by emphasizing the imperative for rehabilitation professionals to engage in lifelong learning and innovation to meet the evolving needs of individuals with acquired brain injury. 2026 selection and editorial matter, K. Jayasankara Reddy; individual chapters, the contributors. All rights reserved.
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Taylor and Francis
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ISBN: 978-104056676-3; 978-104108711-3;
Language
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English
Type
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Book chapter
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Dublin Core
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Title
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Faculty Publications
Book Chapter
Faculty Publications- Book Chapter
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Srivastava, Shilpa; Tripathi, Aprna; Bansal, Sulabh; Vuppulur, Prem Prakash
Title
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Introduction to optimization: Techniques and applications in engineering
Date
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01-01-2025
Source
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Nature-inspired Metaheuristic Algorithms: Solving Real World Engineering Problems;pp.1-28
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<a href="https://doi.org/10.1201/9781003612858-1" target="_blank" rel="noreferrer noopener">https://doi.org/10.1201/9781003612858-1</a> <br /><br /><a href="https://www.scopus.com/pages/publications/105012008472?origin=resultslist" target="_blank" rel="noreferrer noopener">https://www.scopus.com/pages/publications/105012008472?origin=resultslist</a>
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Srivastava S., Christ University, Bengaluru, India; Tripathi A., Department of Data Science and Engineering, Manipal University Jaipur, Jaipur, India; Bansal S., School of Computer Science and Engineering, Manipal University Jaipur, Jaipur, India; Vuppulur P.P., Department of Electrical Engineering, Faculty of Engineering Dayalbagh Educational Institute (Deemed University), Agra, India
Description
An account of the resource
A key idea in computer science, engineering, economics, and mathematics is optimization, which seeks to identify the optimal option from a range of workable options. An overview of optimization, its importance, and its many uses are given in this chapter. It highlights various forms of optimization, such as linear, nonlinear, convex, and combinatorial optimization, and examines the fundamental concepts of optimization, such as objective functions, constraints, and viable regions. In addition to contemporary strategies such as evolutionary algorithms, machine learning-based optimization, and metaheuristic techniques like genetic algorithms and simulated annealing, the chapter explores few traditional optimization techniques. Real-world applications in banking, logistics, AI, and industrial process optimization are also covered. This chapter offers insights into issue formulation, solution approaches, and efficiency concerns, with a focus on both theoretical underpinnings and real-world applications. It also presents important optimization tools and software that are frequently used in both industry and academics. By the end of this chapter, readers will have a basic understanding of optimization concepts that will allow them to use these ideas to effectively tackle challenging issues. 2025 selection and editorial matter, Sulabh Bansal, Aprna Tripathi, Shilpa Srivastava and Prem Prakash Vuppuluri; individual chapters, the contributors.
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CRC Press
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ISBN: 978-104034487-3; 978-103277087-1;
Language
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English
Type
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Book chapter
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Dublin Core
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Title
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Faculty Publications
Book Chapter
Faculty Publications- Book Chapter
Dublin Core
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Puthenkalam, John Joseph; Chennattuserry, Joseph Chacko
Title
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Introduction to Quality of Education: SDG-4 Perspective
Date
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01-01-2026
Source
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Quality Education for All in Asia-Pacific Countries: Research Insights, Reflections and Initiatives on SDG 4;pp.1-17
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<a href="https://doi.org/10.1108/978-1-83608-872-120251001" target="_blank" rel="noreferrer noopener">https://doi.org/10.1108/978-1-83608-872-120251001</a> <br /><br /><a href="https://www.scopus.com/pages/publications/105029788965?origin=resultslist" target="_blank" rel="noreferrer noopener">https://www.scopus.com/pages/publications/105029788965?origin=resultslist</a>
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Puthenkalam J.J., Sophia University, Japan; Chennattuserry J.C., CHRIST (Deemed to be University), Bangalore, India
Description
An account of the resource
The chapter discusses the understanding of SDG-4 as per the United Nations perspective, along with the rationale for Millennium Development Goals (MDGs) to Sustainable Development Goals (SDGs). It discusses the targets and indicators under SDG-4, the quality of education. The chapter emphasizes the critical role of education in achieving all 17 SDGs. The chapter justifies that the SDG-4 focus on the Asia-Pacific (APAC) region through the discussion of diversity, economy, population, demographics, educational disparities, and innovation. The chapter discusses the education in the APAC region by providing an overview of the current status, trends, challenges, equity, quality, success stories, and regional innovations. The chapter highlights the progress toward SDG-4 in the APAC region in terms of Early Childhood Care and Education (ECCE), secondary, higher education, technical and vocational education, and teacher education. The chapter presents the objectives, scope, operational definitions, best practices, and chapter summaries. It further presents the overview of the volume along with its unique contribution to the policy and knowledge domain. Copyright 2026 by John Joseph Puthenkalam and Joseph Chacko Chennattuserry Published under exclusive licence by Emerald Publishing Limited
Subject
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education and human capital; Human development; inclusive growth; right-to-education; SDG-4
Publisher
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Emerald Group Publishing Ltd.
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ISBN: 978-183608872-1; 978-183608873-8; 978-183608874-5;
Language
A language of the resource
English
Type
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Book chapter
Rights
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Restricted Access; Hardcopy may be available in the library
-
Dublin Core
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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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Introduction to quantum machine learning
Subject
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Grover's Search Algorithm; Machine learning; Quantum annealing; Quantum neural networks; Reinforcement learning
Description
An account of the resource
Quantum Machine Learning (QML) is popularly known to be an integrative approach to learning of the Quantum Physics (QP) and Machine Learning (ML). In this chapter, an outline of the fundamental ideas and features related to quantum machine learning is laid out. The different facets of quantum algorithms are discussed in this chapter. In addition to this, the basic features of quantum reinforcement learning and quantum annealing are also provided in this chapter. Finally, the chapter deliberates about the advancement of quantum neural networks to through light in the direction of QML. 2020 Walter de Gruyter GmbH, Berlin/Boston. All rights reserved.
Creator
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Dey S.; De S.; Bhattacharyya S.
Source
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Quantum Machine Learning, pp. 1-10.
Publisher
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De Gruyter
Date
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2020-01-01
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<a href="https://doi.org/10.1515/9783110670707-001" target="_blank" rel="noreferrer noopener">https://doi.org/10.1515/9783110670707-001</a>
<br /><br /><a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85092073961&doi=10.1515%2F9783110670707-001&partnerID=40&md5=a9f62926865c368156e0bb0e1b540916" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85092073961&doi=10.1515%2f9783110670707-001&partnerID=40&md5=a9f62926865c368156e0bb0e1b540916</a>
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Restricted Access
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ISBN: 978-311067070-7; 978-311067072-1
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
Dey S., Department of Computer Science Sukanta Mahavidyalaya, Sukanta Nagar Dhupguri, Jalpaiguri, West Bengal, India; De S., Department of Computer Science and Engineering Cooch Behar Government Engineering College Cooch Behar, West Bengal, India; Bhattacharyya S., Department of Computer Science and Engineering CHRIST (Deemed to be University), Bangalore, India
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Dublin Core
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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/.
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INTRODUCTION TO TEACHING INTERNSHIP: An Analytical Approach
Description
An account of the resource
The introduction chapter presents the transition that teaching internship models underwent from the 20th century to the 21st century. It addresses the need for acquiring the teaching knowledge required of a teacher trainee suitable to the present time. It provides a glimpse of internship practices in other professions like medicine, law and business to provide an analytical base to understand the teaching internship. A successful teaching practicum is determined by its outcome and the experiences offered at the internship site. The chapter also sheds light on the expectations and benefits of teaching internship. It also clarifies the terms used in teaching internship for a common understanding from the stakeholders. It explores the idea of mentor and mentorship in teaching internship. The chapter concludes by providing an overview of the succeeding chapters in the volume. 2023 selection and editorial matter G.S. Prakasha and Anthony Kenneth; individual chapters, the contributors.
Creator
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Prakasha G.S.; Kenneth A.
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Teacher Education: An Analytical Approach to Internship Practices Around the World, pp. 1-21.
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Taylor and Francis
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2023-01-01
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<a href="https://doi.org/10.4324/9781003253242-1" target="_blank" rel="noreferrer noopener">https://doi.org/10.4324/9781003253242-1</a>
<br /><br /><a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85164874925&doi=10.4324%2F9781003253242-1&partnerID=40&md5=171f831abad15d7df39bed1280e92bee" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85164874925&doi=10.4324%2f9781003253242-1&partnerID=40&md5=171f831abad15d7df39bed1280e92bee</a>
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ISBN: 978-100089866-8; 978-103215891-4
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Online
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English
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Book chapter
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Prakasha G.S., School of Education, Christ University Central campus, Bangalore, India; Kenneth A., Jyoti Nivas Pre-University College, Bangalore, India
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Book Chapter
Book Chapter
Faculty Publications- Book Chapter
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Introduction, scope and significance of fermentation technology
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Fermentation; Fermenter design; Solid state fermentation; Submerged fermentation; World market
Description
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Fermentation technology is a field which involves the use of microorganisms and enzymes for production of compounds that have applications in the energy, material, pharmaceutical, chemical and food industries. Though fermentation processes have been used for generations as a requirement for sustainable production of materials and energy, today it has become more demanding for continuous creations and advancement of novel fermentation processes. Efforts are directed both towards the advancement of cell factories and enzymes, as well as the designing of new processes, concepts, and technologies. The global market of microbial fermentation technology was valued at approximately USD 1,573.15 million in 2017 and which is expected to generate revenue of around USD 2,244.20 million by end of 2023. However, regular supply of materials, such as nutrients, microorganisms, the complex nature of production process, and high manufacturing cost hinder the market growth. 2019 Scrivener Publishing LLC. All rights reserved.
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Saran S.; Malaviya A.; Chaubey A.
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High Value Fermentation Products, Volume 1: Human Health, pp. 1-25.
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Scrivener Publishing LLC
Date
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2019-01-01
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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-s2.0-85133146128&partnerID=40&md5=736c1a90cec2e328f76e9cdf6a828e45" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85133146128&partnerID=40&md5=736c1a90cec2e328f76e9cdf6a828e45</a>
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ISBN: 978-111946005-3; 978-111946001-5
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Online
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English
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Book chapter
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Saran S., Fermentation Technology Division, CSIR-Indian Institute of Integrative Medicine, Canal Road, Jammu Tawi, India; Malaviya A., Department of Life Sciences, CHRIST (Deemed To Be University), Hosur Road, Bengaluru, India; Chaubey A., Fermentation Technology Division, CSIR-Indian Institute of Integrative Medicine, Canal Road, Jammu Tawi, India
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Editorials
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Faculty Publications- Editorial
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Introduction: Sexuality and sexualities
Description
An account of the resource
Introduction The most significant recent development, a break with the past, in the study of sexual cultures has to do with the term culture itself: that we think of sexuality (and sexualities) as having cultures. Historically, both in academic and popular thinking, the term sexuality most frequently elicited responses that have to do with biology. That is, whether as an area of study or as a set of ideas people have about their intimate lives, sexuality was too easily detached from the social contexts where it belongs and presented as something of itself. There is a strong tendency to view our sexual lives as dictated by their own peculiar rules that (a) are biologically derived, (b) have been historically stable (that is, the same since the dawn of time), (c) are essentially about our private lives, and (d) are basically the same across different cultures. Ironically, while, on the one hand, we think of sexuality as a world-untoitself - such that it is regarded as a very narrowly confined domain that has nothing to do with, say, politics and economics, we also simultaneously think of it as something of very general significance that is absolutely fundamental to our being. We tend to both downplay its meanings as well as inflate its significance. So, for example, if one is a bad cook, its a minor blemish, but being bad at sex is seen as a major crisis which requires intervention (through seeking the help of sexologists, for example). The sexuality-as-a-drive perspective which was, most famously, both problematized but also institutionalized by Sigmund Freud presents itself in the Indian context in peculiarly Indian ways. It was, for example, at the heart of many of the arguments that were made - and continue to be made - about the difference between Hindus and Muslims, those between tribal and ?ontribal populations, and between the middle-class and poorer populations. So, with respect to the last point, the rise of sexology and the family planning movements are directly linked to the early-twentieth-century perception of the different sexual drives that supposedly characterized the educated and the uneducated (Ahluwalia 2013; Srivastava 2007). Sexology was intended to cater to the more evolved sexual desires of the middle classes, whereas family planning was directed towards controlling the uncontrollable drives of the poor, one that threatened nation-building. Indian Institute of Advanced Studies, Shimla 2020.
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Srivastava S.; Kumaramkandath R.
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(Hi)Stories of Desire: Sexualities and Culture in Modern India, pp. xi-xxx.
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Cambridge University Press
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2019-01-01
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<a href="https://doi.org/10.1017/9781108637770.001" target="_blank" rel="noreferrer noopener">https://doi.org/10.1017/9781108637770.001</a>
<br /><br /><a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85097692297&doi=10.1017%2F9781108637770.001&partnerID=40&md5=b3a47be673390aa1c5d3ca140179347e" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85097692297&doi=10.1017%2f9781108637770.001&partnerID=40&md5=b3a47be673390aa1c5d3ca140179347e</a>
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All Open Access; Green Open Access
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ISBN: 978-110863777-0; 978-110849441-0
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Online
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English
Type
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Editorial
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Srivastava S., Institute of Economic Growth, University of Delhi, India; Kumaramkandath R., CHRIST (deemed to be) University, Bengaluru, India
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Book Chapter
Book Chapter
Faculty Publications- Book Chapter
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Introduction: Tourism at a crossroads
Description
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[No abstract available]
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Kennell J.; Mohanty P.; Sharma A.; Hassan A.
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Crisis Management, Destination Recovery and Sustainability: Tourism at a Crossroads, pp. 1-8.
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Taylor and Francis
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2022-01-01
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<a href="https://doi.org/10.4324/9781003295839-1" target="_blank" rel="noreferrer noopener">https://doi.org/10.4324/9781003295839-1</a>
<br /><br /><a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85143090905&doi=10.4324%2F9781003295839-1&partnerID=40&md5=38642c111984a121a0a5dcc7e1f5550e" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85143090905&doi=10.4324%2f9781003295839-1&partnerID=40&md5=38642c111984a121a0a5dcc7e1f5550e</a>
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ISBN: 978-100082040-9; 978-100329583-9
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Online
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English
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Book chapter
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Kennell J., School of Hospitality and Tourism Management, University of Surrey, United Kingdom; Mohanty P., Department of Business Administration (Tourism), Christ University, Bengaluru, India; Sharma A., Department of Commerce and Management, University of Kota, Kota, Rajasthan, India; Hassan A., UK Tourism Society, United Kingdom
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Title
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Editorials
Editorial
Faculty Publications- Editorial
Dublin Core
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Title
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Introduction. Inclusive business approaches in tourism: Stakeholder engagement
Description
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[No abstract available]
Creator
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Varghese B.
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Inclusive Business Approaches in Tourism: Stakeholder Engagement, pp. vii-xiv.
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Nova Science Publishers, Inc.
Date
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2024-01-01
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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-s2.0-85206277272&partnerID=40&md5=f95598b83689f31778b3aa3f88a44f43" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85206277272&partnerID=40&md5=f95598b83689f31778b3aa3f88a44f43</a>
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Restricted Access
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ISBN: 979-889530032-9; 979-889113988-6
Format
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Online
Language
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English
Type
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Editorial
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Varghese B., Christ University, Bangalore, India
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Title
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Faculty Publications
Book Chapter
Faculty Publications- Book Chapter
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Ayoobkhan, Mohamed Uvaze Ahamed; Khan, Subair Ali Liayakath Ali; Pradeep, Aneesh; Manikandakumar, M.; Karthikeyan, P.
Title
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Intrusion detection system in a software- defined network
Date
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01-01-2025
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Improving Threat Detection, Network Security, and Incident Response With AI;pp.205-234
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<a href="https://doi.org/10.4018/979-8-3373-2115-8.ch008" target="_blank" rel="noreferrer noopener">https://doi.org/10.4018/979-8-3373-2115-8.ch008</a> <br /><br /><a href="https://www.scopus.com/pages/publications/105013247701?origin=resultslist" target="_blank" rel="noreferrer noopener">https://www.scopus.com/pages/publications/105013247701?origin=resultslist</a>
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Ayoobkhan M.U.A., De Montfort University, Kazakhstan; Khan S.A.L.A., TMC Institute in Tashkent, Uzbekistan; Pradeep A., New Uzbekistan University, Tashkent, Uzbekistan; Manikandakumar M., Christ University, Bangalore, India; Karthikeyan P., Thiagarajar College of Engineering, India
Description
An account of the resource
Software Defined Network (SDN) provides a solution to traditional network architecture's drawbacks, where closed equipment like switches and routers have tightly coupled hardware and software. SDN allows the creation of virtual networks controlled by software, providing benefits like rapid topology creation, enhanced security and performance isolation for different traffic types. It offers networking and management opportunities with programmability and flexibility by operating on a centralized control plane, separating data and control planes. The centralized controller, directs information flow through the interfaces to network elements. Despite advantages, SDN faces security threats like DoS attacks and intrusions. One of SDN's most promising aspects is its potential to enhance network security through Intrusion Detection Systems (IDS). IDS integration within SDN enables effective threat detection to safeguard devices and data. The chapter briefly outlines IDS implementation in SDN and demonstrates SDN's capacity to revolutionize modern network management and security. 2026, IGI Global Scientific Publishing. All rights reserved.
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IGI Global
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ISBN: 979-833732117-2; 979-833732115-8;
Language
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English
Type
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Book chapter
Rights
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Restricted Access; Hardcopy may be available in the library
-
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Title
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Faculty Publications
Book Chapter
Faculty Publications- Book Chapter
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Mishra, Achyutananda
Title
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Intrusion Detection Through Deep Learning: Emerging Trends and Challenges
Date
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01-01-2026
Source
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Deep Learning for Intrusion Detection: Techniques and Applications;pp.107-123
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<a href="https://doi.org/10.1002/9781394285198.ch5" target="_blank" rel="noreferrer noopener">https://doi.org/10.1002/9781394285198.ch5</a> <br /><br /><a href="https://www.scopus.com/pages/publications/105030404243?origin=resultslist" target="_blank" rel="noreferrer noopener">https://www.scopus.com/pages/publications/105030404243?origin=resultslist</a>
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Mishra A., School of Law, Christ University, Karnataka, Bangalore, India
Description
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The chapter begins with an introduction that sets the stage for a comprehensive journey into the world of deep learning. The chapter then delves into the critical components of deep learning, including neural network architectures, convolutional neural networks (CNNs), recurrent and recursive networks, and the application of deep learning. Moreover, it explains intrusion detection, its classification, and its methodology. By the end of the chapter, readers will have gained a solid understanding of the fundamental principles and tools necessary to delve deeper into the application of deep learning in intrusion detection, and challenges inherent in it. 2026 John Wiley & Sons, Inc. Published 2026 by John Wiley & Sons, Inc.
Subject
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deep learning; intrusion detection; machine learning; neural network
Publisher
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wiley
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ISBN: 978-139428519-8; 978-139428516-7;
Language
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English
Type
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Book chapter
Rights
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Restricted Access; Hardcopy may be available in the library
-
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Title
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Faculty Publications
Article
Faculty Publications -Articles
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Agrawal, Ayushi; Chukkali, Surekha; Mukherjee, Oindrila; Krishnamurthy, Vardhini
Title
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Invalidation of emotions and emotional eating: The moderating role of emotion regulation among young adults
Date
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01-01-2025
Source
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Journal of Human Behavior in the Social Environment;
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<a href="https://doi.org/10.1080/10911359.2025.2501148" target="_blank" rel="noreferrer noopener">https://doi.org/10.1080/10911359.2025.2501148</a> <br /><br /><a href="https://www.scopus.com/pages/publications/105004845407?origin=resultslist" target="_blank" rel="noreferrer noopener">https://www.scopus.com/pages/publications/105004845407?origin=resultslist</a>
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Agrawal A., Department of Psychology, CHRIST (Deemed to be University), Delhi, India; Chukkali S., Department of Psychology, CHRIST (Deemed to be University), Bangalore, India; Mukherjee O., Department of Psychology, CHRIST (Deemed to be University), Delhi, India; Krishnamurthy V., Department of Psychology, CHRIST (Deemed to be University), Bangalore, India
Description
An account of the resource
Our emotions play a decisive role in shaping our behavior. However, when the expression of these emotions is met with disapproval, it leads to us experiencing emotional invalidation. This experience has a detrimental influence on cognitive abilities, including decision-making, thinking, and reasoning, ultimately impeding ones daily functioning. The present study examined the role of perceived invalidation of emotions on emotional eating tendencies. Further, it explores the moderating role of emotion regulation. The sample consisted of 320 young adults aged between 18 and 25. The data was collected through an online survey and offline questionnaires distributed in higher education institutions. The Perceived Invalidation of Emotions Scale, Emotion Regulation Scale, and Emotional Eating Scale were administered. Multiple linear regression and moderation analysis using Process Macro were performed to interpret the results. The results showed a positive relationship between perceived invalidation of emotions and emotional eating. Further, cognitive reappraisal and emotional suppression were found to moderate the relationship between perceived invalidation of emotions and emotional eating. These results have implications for designing physical health and well-being interventions that address invalidation of emotions. The moderation analysis results extend to interventions targeting emotional eating tendencies, emphasizing enhancing cognitive reappraisal skills. Health psychologists and nutrition experts can identify the antecedents of maladaptive eating patterns and apply this understanding while dealing with clients facing similar issues. 2025 Taylor & Francis Group, LLC.
Subject
The topic of the resource
cognitive reappraisal; Emotional eating; emotions; expressive suppression; invalidation of emotions; moderation
Publisher
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Routledge
Relation
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ISSN: 10911359;
Language
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English
Type
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Article
Rights
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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
Article
Faculty Publications -Articles
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Madhumitha, S.; Naduvath, Sudev
Title
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Invariant intersection graph of a graph
Date
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01-01-2025
Source
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Journal of Discrete Mathematical Sciences and Cryptography;Volume;28;Issue;6;pp.2323-2335
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<a href="https://doi.org/10.47974/JDMSC-2235" target="_blank" rel="noreferrer noopener">https://doi.org/10.47974/JDMSC-2235</a> <br /><br /><a href="https://www.scopus.com/pages/publications/105017088702?origin=resultslist" target="_blank" rel="noreferrer noopener">https://www.scopus.com/pages/publications/105017088702?origin=resultslist</a>
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Madhumitha S., Department of Mathematics, Christ University, Karnataka, Bangalore, India; Naduvath S., Department of Mathematics, Christ University, Karnataka, Bangalore, India
Description
An account of the resource
Studies in algebraic graph theory showcase the interplay between group theory and graph theory by defining graphs on groups, investigating their properties, and also by analysing the automorphism groups that emerge from the graphs. In this article, we introduce the idea of constructing an algebraic derived graph; that is, constructing a graph based on the algebraic properties of a graph, by introducing the invariant intersection graph of a graph, constructed based on the automorphism group of a graph. Here, we introduce the graph construction and initiate an investigation on the structure of the invariant intersection graph with respect to the graph and its automorphism group. 2025, Taru Publications. All rights reserved.
Subject
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Automorphism group; Intersection graphs; Invariant intersection graph; Invariant set
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Taru Publications
Relation
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ISSN: 9720529;
Language
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English
Type
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Article
Rights
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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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Articles
Article
Faculty Publications -Articles
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
Invariant Submanifolds of (?)-Sasakian Manifolds
Subject
The topic of the resource
(?)-Sasakian manifold; Einstein manifold; Invariant submanifold; Recurrent submanifold
Description
An account of the resource
In this paper, we consider invariant submanifolds of an (?)-Sasakian manifolds. We show that if the second fundamental form of an invariant submanifold of a (?)-Sasakian manifold is recurrent then the submanifold is totally geodesic. We also prove that, invariant submanifolds of an Einstein (?)-Sasakian manifolds satisfying the conditions (Formula presented) (X, Y) ? = 0 and (Formula presented)(X, Y) (Formula presented)? = 0 with ?r ? n(n 1) are also totally geodesic. 2020. All Rights Reserved.
Creator
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Prakasha D.G.; Vanli A.T.; Nagaraja M.; Veeresha P.
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Annals of the University of Craiova, Mathematics and Computer Science Series, Vol-47, No. 2, pp. 346-356.
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Universitatea din Craiova
Date
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2020-01-01
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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-s2.0-85102835218&partnerID=40&md5=8afa19ad7aeaaf12140f07627d89b3c0" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85102835218&partnerID=40&md5=8afa19ad7aeaaf12140f07627d89b3c0</a>
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Restricted Access
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ISSN: 12236934
Format
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Online
Language
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English
Type
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Article
Coverage
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Prakasha D.G., Department of Mathematics, Davangere University, Davangere, 577007, India; Vanli A.T., Department of Mathematics, Tunga Mahavidhyalaya, Thirthahalli, 577432, India; Nagaraja M., Department of Mathematics, Christ University, Bengaluru, 560029, India; Veeresha P., Department of Mathematics, Christ University, Bengaluru, 560029, India
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Title
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Articles
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Faculty Publications -Articles
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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Inventory model for deteriorating items with ramp type demand under permissible delay in payment
Subject
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Deterioration; Nonlinear demand function; Permissible delay; Shortage
Description
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Permissible delay in payment is a common method of payment often used by the suppliers and it generally leads to higher sales and ultimately higher revenue. This method is significant in the case of deteriorating products. In this paper, an inventory model for the deteriorating items with price and time-dependent ramp type demand is presented with shortages allowed and partially backlogged. The solution procedure is illustrated by numerical examples. The concavity of the profit function with respect to the decision variable is discussed analytically. Numerical analysis shows that the profit per unit time increases with the delay payment facility. Copyright 2021 Inderscience Enterprises Ltd.
Creator
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Sharma A.; Kaushik J.
Source
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International Journal of Procurement Management, Vol-14, No. 5, pp. 578-595.
Publisher
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Inderscience Publishers
Date
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2021-01-01
Identifier
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<a href="https://doi.org/10.1504/IJPM.2021.117292" target="_blank" rel="noreferrer noopener">https://doi.org/10.1504/IJPM.2021.117292</a>
<br /><br /><a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85114366109&doi=10.1504%2FIJPM.2021.117292&partnerID=40&md5=945419c653100c6cd7260bb01e928e7c" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85114366109&doi=10.1504%2fIJPM.2021.117292&partnerID=40&md5=945419c653100c6cd7260bb01e928e7c</a>
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Restricted Access
Relation
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ISSN: 17538432
Format
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Online
Language
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English
Type
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Article
Coverage
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Sharma A., Department of Mathematics, Institute of Applied Sciences and Humanities, GLA University, NH-2, Mathura, 281406, India; Kaushik J., Department of Mathematics, Institute of Applied Sciences and Humanities, GLA University, NH-2, Mathura, 281406, India, Department of Data Science, CHRIST (Deemed to be University), 30 Valor Court, Dasve Cir, Lavasa, 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
Articles
Article
Faculty Publications -Articles
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
Inventory model for the growing items with price dependent demand, mortality and deterioration
Subject
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deterioration; growing items; inventory model; mortality; price dependent demand
Description
An account of the resource
Growing items like livestock, chicks, etc. gain weight in the growing phase but some of them are lost due to mortality. In the selling phase, some inventory is lost due to deterioration. Such aspects make procurement decisions quite difficult for these items. In the light of such aspects, we developed an inventory model for the growing items with price dependent demand, mortality and deterioration. Shortages are partially backlogged. Our aim is to optimise the total cost by determining the optimal ordered quantity and total cycle length. Convexity of the cost function with respect to the decision variables has been discussed analytically. Solution procedure along with numerical example at different percentage of backlogged quantity is provided to show the applicability and validity of our model. Sensitivity analysis shows that total cycle length is the most sensitive among all the decision variables and parameters. Copyright 2023 Inderscience Enterprises Ltd.
Creator
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Saraswat A.K.; Sharma A.
Source
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International Journal of Operational Research, Vol-47, No. 4, pp. 534-546.
Publisher
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Inderscience Publishers
Date
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2023-01-01
Identifier
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<a href="https://doi.org/10.1504/IJOR.2023.132818" target="_blank" rel="noreferrer noopener">https://doi.org/10.1504/IJOR.2023.132818</a>
<br /><br /><a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85170233660&doi=10.1504%2FIJOR.2023.132818&partnerID=40&md5=132ca87499915b5d483d210173b8cb81" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85170233660&doi=10.1504%2fIJOR.2023.132818&partnerID=40&md5=132ca87499915b5d483d210173b8cb81</a>
Rights
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Restricted Access
Relation
A related resource
ISSN: 17457645
Format
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Online
Language
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English
Type
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Article
Coverage
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Saraswat A.K., Department of Mathematics, Institute of Applied Sciences and Humanities, GLA University, NH-2, Mathura, 281406, India, School of Sciences, CHRIST (Deemed to be University), Delhi-NCR, Ghaziabad, 201003, India; Sharma A., Department of Mathematics, Institute of Applied Sciences and Humanities, GLA University, NH-2, Mathura, 281406, India, School of Sciences, CHRIST (Deemed to be University), Delhi-NCR, Ghaziabad, 201003, India