499
20
11858
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Dublin Core
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Title
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Articles
Article
Faculty Publications -Articles
Dublin Core
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An augmented artificial bee colony algorithm for data aggregation in wireless sensor networks
Subject
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Bio-inspired optimization; Data collection; Energy efficiency; Mobility; Wireless sensor networks
Description
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As wireless sensor networks comprise of a vast number of resource constrained tiny sensor nodes which are designed to operate for a long period of time, it is inevitable to efficiently utilize the available resources. Even though energy harvesting approaches exist, energy efficiency in these networks remains the primary concern. Innovative data collection methods help in the optimal utilization of the confined resources like energy, memory and processing capabilities. Majority of the energy is consumed for data transmission in contrast to sensing and processing. Adopting self-organizing system intelligence of the nature for modern advancements is effective and efficient. This paper provides a gist of the existing bio-inspired routing algorithms and describes a new energy efficient data collection strategy with mobile sinks in wireless sensor networks. IAEME Publication.
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Sinha S.; Jose D.V.
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International Journal of Civil Engineering and Technology, Vol-8, No. 12, pp. 651-661.
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IAEME Publication
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2017-01-01
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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-s2.0-85040660629&partnerID=40&md5=54f838e9e323ba2076eec9284dd845ce" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85040660629&partnerID=40&md5=54f838e9e323ba2076eec9284dd845ce</a>
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ISSN: 9766308
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Online
Language
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English
Type
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Article
Coverage
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Sinha S., Department of Computer Science, Christ University, Bengaluru, Karnataka, India; Jose D.V., Department of Computer Science, Christ University, Bengaluru, Karnataka, India
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Title
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Book Chapter
Book Chapter
Faculty Publications- Book Chapter
Dublin Core
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Neurodiversity at the Workplace: The new paradigm of talent acquisition and retention
Description
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The importance of neurodiversity in the workplace has gained popularity in recent years. Companies can access a pool of distinctive skills and viewpoints that can stimulate innovation, creativity, and productivity by embracing neurodiversity in the workplace. This chapter examines the idea of neurodiversity in relation to hiring and retaining talent, emphasizing the advantages for both companies and workers. It covers methods for establishing welcoming environments at work that support neurodiverse workers and help them reach their full potential. It also looks at how corporate culture, HR regulations, and leadership all contribute to creating a welcoming workplace for individuals who are neurodiverse. Companies can promote diversity, equity, and inclusion at the workplace in addition to attracting and retaining neurodiverse employees (NDEs). A conceptual framework has been proposed to demonstrate the influence of various factors like awareness, perceived benefits, accommodation, organizational policy, stigma, and unconscious bias on retention of NDEs. 2024, IGI Global.
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Sinha S.; Sinha D.
Source
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Global Practices on Effective Talent Acquisition and Retention, pp. 333-348.
Publisher
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IGI Global
Date
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2024-01-01
Identifier
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<a href="https://doi.org/10.4018/979-8-3693-1938-3.ch018" target="_blank" rel="noreferrer noopener">https://doi.org/10.4018/979-8-3693-1938-3.ch018</a>
<br /><br /><a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85197817270&doi=10.4018%2F979-8-3693-1938-3.ch018&partnerID=40&md5=bce2c6bdfed089a9dfc93b8b49d85dbd" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85197817270&doi=10.4018%2f979-8-3693-1938-3.ch018&partnerID=40&md5=bce2c6bdfed089a9dfc93b8b49d85dbd</a>
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ISBN: 979-836931939-0; 979-836931938-3
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Online
Language
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English
Type
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Book chapter
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Sinha S., Christ University, India; Sinha D., Christ University, India
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Dublin Core
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Title
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Conference Papers
Conference Paper
Faculty Publications- Conference Papers
Dublin Core
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Title
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Role of AI in Enhancing Customer Experience in Online Shopping
Subject
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AI enabled tools; Artificial intelligence; Customer experience; Perceived convenience; Personalisation; Trust
Description
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AI-powered tools and applications may provide customers with a positive, effective, and customized purchasing experience. By studying client preferences and behaviours, AI systems can anticipate future customer needs, improving and personalizing the shopping experience. The main aim of this study is to examine the role of artificial intelligence (AI) on enhancing customer experience. The results of this study revealed that there is a positive significant relationship between AI features like perceived convenience, personalization and AI-enabled service quality and Customer experience. A total of 416 responses were analysed using a structured questionnaire. The findings indicate significant role of trust as factor, mediating the effects of independent variables on customer experience. Data was analysed using T-test, ANOVA and regression. 2024 IEEE.
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Sinha S.; Sinha D.; Dalmia T.
Source
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2024 11th International Conference on Reliability, Infocom Technologies and Optimization (Trends and Future Directions), ICRITO 2024
Publisher
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Institute of Electrical and Electronics Engineers Inc.
Date
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2024-01-01
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<a href="https://doi.org/10.1109/ICRITO61523.2024.10522285" target="_blank" rel="noreferrer noopener">https://doi.org/10.1109/ICRITO61523.2024.10522285</a>
<br /><br /><a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85193786401&doi=10.1109%2FICRITO61523.2024.10522285&partnerID=40&md5=2fc876523aa74c07ce4bc576aab7eedb" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85193786401&doi=10.1109%2fICRITO61523.2024.10522285&partnerID=40&md5=2fc876523aa74c07ce4bc576aab7eedb</a>
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ISBN: 979-835035035-7
Format
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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
Sinha S., School of Business and Management, Christ (Deemed to Be University), India; Sinha D., School of Business and Management, Christ (Deemed to Be University), India; Dalmia T., School of Business and Management, Christ (Deemed to Be University), India
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Dublin Core
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Title
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Conference Papers
Conference Paper
Faculty Publications- Conference Papers
Dublin Core
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Title
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Consumer Characteristics and Consumption Patterns of Soft Drinks
Subject
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Age; Consumption patterns; Educational qualifications; Gender; Marital status; Soft drinks
Description
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A soft drink is generally treated as very common product aimed at a very casual consumption. Normally, not much of attention is paid to this product, which has almost become 'commoditized'. But, a deeper and more careful observation would reveal that soft drinks are strong demographic descriptors of their consumers. Key insights into the characteristics and consumption patterns of consumers can be obtained through an incisive study of the soft drinks market. This research paper makes a concerted effort at unearthing the demographic details and consumption contours of the soft drink users in Kanpur, Agra, Varanasi, Allahabad, and Lucknow - the five representative cities of Uttar Pradesh, the most populous state of India. It has been conclusively established through this research that the residents of these five cities - which are demographically similar in nature - exhibit varying consumption patterns when it comes to soft drinks. It was also found that demographic variables like age, gender, educational qualification, income, and marital status do not significantly impact the consumption of soft drinks, whereas employment status is a key influencer of the same. 2021 IEEE.
Creator
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Sinha S.; Sinha D.; Mittal N.
Source
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2021 9th International Conference on Reliability, Infocom Technologies and Optimization (Trends and Future Directions), ICRITO 2021
Publisher
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Institute of Electrical and Electronics Engineers Inc.
Date
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2021-01-01
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<a href="https://doi.org/10.1109/ICRITO51393.2021.9596207" target="_blank" rel="noreferrer noopener">https://doi.org/10.1109/ICRITO51393.2021.9596207</a>
<br /><br /><a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85125938791&doi=10.1109%2FICRITO51393.2021.9596207&partnerID=40&md5=000cad5452b763365763ecc3ce70276c" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85125938791&doi=10.1109%2fICRITO51393.2021.9596207&partnerID=40&md5=000cad5452b763365763ecc3ce70276c</a>
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ISBN: 978-166541703-7
Format
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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
Sinha S., CHRIST (Deemed to be University), India, AIIT-Amity University, Noida; Sinha D., CHRIST (Deemed to be University), India, AIIT-Amity University, Noida; Mittal N., CHRIST (Deemed to be University), India, AIIT-Amity University, Noida
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Title
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Articles
Article
Faculty Publications -Articles
Dublin Core
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Title
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Time Efficient Hash Key Generation for Blockchain Enabled Framework
Subject
The topic of the resource
Blockchain; blockchain optimization; hashing; hashing function; hashing key; supply chain framework; supply chain lead time
Description
An account of the resource
Blockchain, in general, helps organizations to improve the transparency and governance by removing its shortfalls and building better control overall. Blockchain network, public or private, is a competent technology when used in order with an optimized hashing technique. In a blockchain network, one of the common issues is performance while registering any transactions. Blockchain must need to do some preliminary checks to avoid double-spending before registering the transaction. Here, we implement one of the optimization aspects of the hashing technique, which can contribute to the blockchain mining processes and save time. It enables the blockchain to perform efficiently and reliably. In addition, we examine how well different hashing algorithms perform when added to the blockchain network's processes. In this research, we analyze several hashing techniques that are employed in the blockchain and are also applied in the supply chain domain due to their efficacy in mitigating past attacks. Our proposed hashing technique allows a blockchain network to improve security and its overall processes. The proposed hashing technique achieves approx. 10-90% performance gain improvements over other existing technique. Our proposed hashing technique allows a blockchain network to improve security and its overall processes. The study also examines how the supply chain management contributes in increasing of overall lead time where process optimization or technological enhancement plays key roles in minimizing the time of some or all the processes. Lead time is one of the common issues of supply chain which impacts on overall order delivery time. We address on how the conjunction of blockchain with optimized hashing technique can address supply chain lead time issues. 2013 IEEE.
Creator
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Sinha S.K.; Mukhopadhyay D.
Source
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IEEE Access, Vol-12, pp. 155867-155884.
Publisher
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Institute of Electrical and Electronics Engineers Inc.
Date
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2024-01-01
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<a href="https://doi.org/10.1109/ACCESS.2024.3478845" target="_blank" rel="noreferrer noopener">https://doi.org/10.1109/ACCESS.2024.3478845</a>
<br /><br /><a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85207623775&doi=10.1109%2FACCESS.2024.3478845&partnerID=40&md5=bb14fb47418d01f2a58040f7c77eb967" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85207623775&doi=10.1109%2fACCESS.2024.3478845&partnerID=40&md5=bb14fb47418d01f2a58040f7c77eb967</a>
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All Open Access; Gold Open Access
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A related resource
ISSN: 21693536
Format
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Online
Language
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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
Sinha S.K., Christ University, Department of Computer Science and Engineering, Bengaluru, 560074, India; Mukhopadhyay D., Christ University, Department of Computer Science and Engineering, Bengaluru, 560074, India
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Dublin Core
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Title
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Conference Papers
Conference Paper
Faculty Publications- Conference Papers
Dublin Core
The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/.
Title
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A Brief Review on the Role of Blockchain in Supply Chain Management
Subject
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Blockchain; Blockchain advantages; Blockchain application in supply chain; Blockchain architecture; Blockchain intelligence; Blockchain types; Consensus
Description
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Blockchain is a proficient technology when used in combination with other intelligent technologies which gives an opportunity to an organization to rethink about improvement of their supply chain internal and external processes. It helps in improvement of transparency and provenance by removing shortfalls and building a better organizational control overall. However, blockchain faces numerous challenges, e.g., transaction speed, decentralization, scalability, interoperability, and lack of standardization that could affect its adoption across organizations. However, a greater number of research are required to overcome the governance, standardization, and technological challenges involved within. Concisely, blockchain in supply chain is still in initial phase, many improvements are needed for better adaptation of blockchain using Machine Learning, Neural Network algorithms to make optimized computation decision of blockchain framework. In this paper, we studied and discussed about blockchain and its type, consensus mechanism, blockchain in supply chain, key issues of blockchain and supply chain and intelligence in blockchain. 2023, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.
Creator
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Sinha S.K.; Mukhopadhyay D.; Bhattacharyya S.
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Smart Innovation, Systems and Technologies, Vol-316, pp. 129-147.
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Springer Science and Business Media Deutschland GmbH
Date
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2023-01-01
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<a href="https://doi.org/10.1007/978-981-19-5403-0_11" target="_blank" rel="noreferrer noopener">https://doi.org/10.1007/978-981-19-5403-0_11</a>
<br /><br /><a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85144196013&doi=10.1007%2F978-981-19-5403-0_11&partnerID=40&md5=8c5b7e6a1561d83b1da192e3957c6b9e" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85144196013&doi=10.1007%2f978-981-19-5403-0_11&partnerID=40&md5=8c5b7e6a1561d83b1da192e3957c6b9e</a>
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ISSN: 21903018; ISBN: 978-981195402-3
Format
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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
Sinha S.K., Department of CSE, CHRIST Deemed to Be University, Bangalore, India; Mukhopadhyay D., Department of CSE, CHRIST Deemed to Be University, Bangalore, India; Bhattacharyya S., Rajnagar Mahavidyalaya, Rajnagar, Birbhum, India
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Dublin Core
The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/.
Title
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Conference Papers
Conference Paper
Faculty Publications- Conference Papers
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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Unveiling the pattern of PhishingAttacks using the Machine Learning approach
Subject
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Adaptive Learning; Models; Phishing Detection; Real-time Threat Detection; User-Centric Design
Description
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This study introduces a unique approach to strengthening cybersecurity by combining advanced models for real-time detection of phishing websites. A classifier is trained to discern patterns associated with legitimate and phishing URLs, leveraging a carefully organized labeled dataset. The model in this paper forms the foundation for a real-time detection system, providing users with real-time information on potential phishing threats. Integrating an adaptive decision-making algorithm improves decision-making adaptability, particularly in scenarios challenging the model's confidence. A user feedback loop ensures the continuous learning and refinement of the system, aligning it more closely with user expectations. The future scope of this research involves exploring advanced models, improving explainability, and incorporating dynamic features for enhanced detection. Adaptive policies, large-scale deployment, and ethical implications are pivotal for real-world applicability. In conclusion, this study contributes to advancing phishing detection methodologies and lays the groundwork for future innovations in cybersecurity. The collaborative efforts of academia, industry, and cybersecurity stakeholders arenecessaryfor realizing the full potential of this paper and ensuring a safer online platform for users. 2024 IEEE.
Creator
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Sinha V.; Shanbhog M.; Upreti K.
Source
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Proceedings - 3rd International Conference on Advances in Computing, Communication and Applied Informatics, ACCAI 2024
Publisher
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Institute of Electrical and Electronics Engineers Inc.
Date
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2024-01-01
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<a href="https://doi.org/10.1109/ACCAI61061.2024.10602318" target="_blank" rel="noreferrer noopener">https://doi.org/10.1109/ACCAI61061.2024.10602318</a>
<br /><br /><a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85200594992&doi=10.1109%2FACCAI61061.2024.10602318&partnerID=40&md5=5045bdf54aed68228b892557bb0f52e0" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85200594992&doi=10.1109%2fACCAI61061.2024.10602318&partnerID=40&md5=5045bdf54aed68228b892557bb0f52e0</a>
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ISBN: 979-835038943-2
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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
Sinha V., Christ (Deemed to Be University), Department of Computer Science, NCR, Delhi, India; Shanbhog M., Christ (Deemed to Be University), Department of Computer Science, NCR, Delhi, India; Upreti K., Christ (Deemed to Be University), Department of Computer Science, NCR, Delhi, India
-
https://archives.christuniversity.in/files/original/8ad79748582781b5872711ee2023936b.jpg
34b2d0e9a92545e3b287386557efabdc
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Title
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Articles
Article
Faculty Publications -Articles
Dublin Core
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Title
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Teaching as a political act: The role of critical pedagogical practices and curriculum /
Subject
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Teacher-Student Relationship
Description
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Human Affairs, Vol.26, ISSN: 1337-401X.
Creator
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Sinha, Chetan.
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<a href="https://www.degruyter.com/document/doi/10.1515/humaff-2016-0026/html" target="_blank" title="Teaching as a political act: The role of critical pedagogical practices and curriculum" rel="noreferrer noopener">https://www.degruyter.com/document/doi/10.1515/humaff-2016-0026/html</a>
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DE Gruyter
Date
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2016-02-14
Language
A language of the resource
English
Type
The nature or genre of the resource
Journal Article
-
https://archives.christuniversity.in/files/original/9ceed59a8d307479fb2f4a7e867830f9.jpg
01b53cc2211c2c165d4e6b2d26e00495
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Title
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Articles
Article
Faculty Publications -Articles
Dublin Core
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Title
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Rethinking interdisciplinarity in social sciences: Is it a new revolution or paradox? /
Subject
The topic of the resource
Classism
Description
An account of the resource
Journal Of Interdisciplinary Studies In Eductaion, Vol.4, Issue 2, pp.44-66, ISSN: 2166-2681 (Print), 2690-0408 (Online).
Creator
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Sinha, Chetan.
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<a href="https://www.ojed.org/index.php/jise/article/view/1590" target="_blank" title="Rethinking interdisciplinarity in social sciences: Is it a new revolution or paradox?" rel="noreferrer noopener">https://www.ojed.org/index.php/jise/article/view/1590</a>
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JISE
Date
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2016-02-14
Language
A language of the resource
English
Type
The nature or genre of the resource
Journal Article
-
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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Articles
Article
Faculty Publications -Articles
Dublin Core
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Title
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Decolonizing social psychology in India: Exploring its role as emancipatory social science /
Subject
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Social Psychology
Description
An account of the resource
Psychology & Society, Vol.8, Issue 1, pp.57-74, ISSN: 2041-5893.
Creator
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Sinha, Chetan.
Source
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<a href="https://psycnet.apa.org/record/2016-45119-004" target="_blank" title="Decolonizing social psychology in India: Exploring its role as emancipatory social science" rel="noreferrer noopener">https://psycnet.apa.org/record/2016-45119-004</a>
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University of Cambridge
Date
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2016-02-14
Language
A language of the resource
English
Type
The nature or genre of the resource
Journal Article
-
Dublin Core
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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
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The social representations of academic achievement and failure /
Subject
The topic of the resource
Psychology and Educational Studies
Description
An account of the resource
Psychological Studies, Vol.60, Issue 2, pp.231-241, ISSN No: 0974-9861 (Online) 0033-2968 (Print)
Creator
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Sinha, Chetan., Mishra, Arvind Kumar
Source
A related resource from which the described resource is derived
<a href="https://link.springer.com/article/10.1007/s12646-014-0285-3" target="_blank" title="The social representations of academic achievement and failure" rel="noreferrer noopener">https://link.springer.com/article/10.1007/s12646-014-0285-3</a>
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Springer
Date
A point or period of time associated with an event in the lifecycle of the resource
2015-02-10
Language
A language of the resource
English
Type
The nature or genre of the resource
Journal Article
-
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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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
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Rethinking the place of socioeconomic status identity in students' academic achievement /
Subject
The topic of the resource
Psychology and Educational Studies
Description
An account of the resource
European Journal of Psychology & Educational Studies, Vol.2, Issue 2, pp.242-249, ISSN No: 2395-2555 (Online)
Creator
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Sinha, Chetan., Mishra, Arvind Kumar
Source
A related resource from which the described resource is derived
<a href="https://www.proquest.com/docview/1824318250?parentSessionId=sgjG5s9icvQ9rV9%2B%2BCHsTe8SyxksRpu7LDiMxuxFy7c%3D&parentSessionId=E58eUY9DuJHdjEsbaHo%2BOELvHLkmuPGG6Rky10oLX0s%3D" target="_blank" title="Rethinking the place of socioeconomic status identity in students' academic achievement" rel="noreferrer noopener">https://www.proquest.com/docview/1824318250?parentSessionId=sgjG5s9icvQ9rV9%2B%2BCHsTe8SyxksRpu7LDiMxuxFy7c%3D&parentSessionId=E58eUY9DuJHdjEsbaHo%2BOELvHLkmuPGG6Rky10oLX0s%3D</a>
Publisher
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Wolters Kluwer
Date
A point or period of time associated with an event in the lifecycle of the resource
2015-02-10
Language
A language of the resource
English
Type
The nature or genre of the resource
Journal Article
-
https://archives.christuniversity.in/files/original/a87e5badf1cf45bbd41bcb58e3112e93.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
The topic of the resource
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
A smart attendance system and method for permission inventory during the class /
Subject
The topic of the resource
Electronics
Description
An account of the resource
Patent Number: 202111060922, Applicant: Shivani Chaudhry.
A smart attendance system (1). The system (1) comprises a smart lecture stand (2), which having an electronic unit (2A) which is connected to the other smart door, smart bench, and smart chair of the system; a smart bench (3), which having an electronic unit (3A), which is connected to the other smart door, smart stand, and smart chair of the system; a smart chair (4) comprises which having an electronic unit (4A); which is connected to the other smart door, smart bench, and smart stand of the system; a smart door (5) comprises a electronic unit (5A), which is connected to the other smart door, smart bench, and smart chair of the system.
Creator
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Sinha, Deepti.
Source
A related resource from which the described resource is derived
<a href="https://drive.google.com/file/d/1Xa9WqqLpFOP4WPb4Os0AEVfkp35LiMmf/view" target="_blank" title="A smart attendance system and method for permission inventory during the class /" rel="noreferrer noopener">https://drive.google.com/file/d/1Xa9WqqLpFOP4WPb4Os0AEVfkp35LiMmf/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
2022-05-10
Language
A language of the resource
English
Type
The nature or genre of the resource
Patent
-
https://archives.christuniversity.in/files/original/1c50dcf0dfae372c84b8bb9781af4622.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
The topic of the resource
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
Models of cuber security and data privacy analysis for Indian consumer's e-commerce decision making /
Subject
The topic of the resource
Communication
Description
An account of the resource
Patent Number: 202211043969, Applicant: Priyanka Kaushik.
Even though it is clear that e-commerce meets the requirements of customers, businesses and the clients they serve continue to be susceptible to cyberattacks, which may already be in progress against them. In this study, a comprehension of the antecedent elements that generate concerns among Indian consumers while using ecommerce websites is presented. It seeks to quantify the perceived hazards and data privacy issues that influence an individual's approach to making a risk-informed purchasing decision. The sake of this investigation, a quantitative method of approach has been used.
Creator
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Sinha, Mudita.
Source
A related resource from which the described resource is derived
<a href="https://drive.google.com/file/d/14ogWkPFQQxjDPeY4yvS9PigEKxPn3XN4/view" target="_blank" title="Models of cuber security and data privacy analysis for Indian consumer's e-commerce decision making /" rel="noreferrer noopener">https://drive.google.com/file/d/14ogWkPFQQxjDPeY4yvS9PigEKxPn3XN4/view</a>
Publisher
An entity responsible for making the resource available
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
-
https://archives.christuniversity.in/files/original/5f104932a7046f2e4b9be7be34ef3ef6.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
A name given to the resource
Patents
Subject
The topic of the resource
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
A smart attendance system and method for permission inventory during the class /
Subject
The topic of the resource
Electronics
Description
An account of the resource
Patent Number: 202111060922, Applicant: Shivani Chaudhry.
A smart attendance system (1). The system (1) comprises a smart lecture stand (2), which having an electronic unit (2A) which is connected to the other smart door, smart bench, and smart chair of the system; a smart bench (3), which having an electronic unit (3A), which is connected to the other smart door, smart stand, and smart chair of the system; a smart chair (4) comprises which having an electronic unit (4A); which is connected to the other smart door, smart bench, and smart stand of the system; a smart door (5) comprises a electronic unit (5A), which is connected to the other smart door, smart bench, and smart chair of the system.
Creator
An entity primarily responsible for making the resource
Sinha, Sachin.
Source
A related resource from which the described resource is derived
<a href="https://drive.google.com/file/d/1Xa9WqqLpFOP4WPb4Os0AEVfkp35LiMmf/view" target="_blank" title="A smart attendance system and method for permission inventory during the class /" rel="noreferrer noopener">https://drive.google.com/file/d/1Xa9WqqLpFOP4WPb4Os0AEVfkp35LiMmf/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
2022-05-10
Language
A language of the resource
English
Type
The nature or genre of the resource
Patent
-
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
Analyzing students academic performance using multilayer perceptron model
Subject
The topic of the resource
K-means; K-Nearest Neighbor (KNN); Machine Learning; Multilayer Perceptron; Students Performance
Description
An account of the resource
Identification of the students behavior in the class room environment is very important. It helps the lecturer to identify the needs of the students. It also aids in identifying the strength and weakness of the individual and guide them to improve on their performance. Observing and supervising the students regularly can improve their performance. The data has been collected from 120 students who took the common the course taught by two different lectures. The students were observed based on the internal assignments and quizzes and the model exam given by the respective lecturers. In this paper the students are categorized into different groups based on their performance using Multilayer Perceptron (MLP) and also different factors which are influencing the performance of the students are identified. BEIESP.
Creator
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Sinthia G.; Balamurugan M.
Source
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International Journal of Recent Technology and Engineering, Vol-7, No. 5, pp. 156-160.
Publisher
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Blue Eyes Intelligence Engineering and Sciences Publication
Date
A point or period of time associated with an event in the lifecycle of the resource
2019-01-01
Identifier
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<a href="" target="_blank" rel="noreferrer noopener"></a>
<br /><br /><a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85068001944&partnerID=40&md5=86e0dc54ef165ac1c593cc4522645ec0" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85068001944&partnerID=40&md5=86e0dc54ef165ac1c593cc4522645ec0</a>
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Restricted Access
Relation
A related resource
ISSN: 22773878
Format
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Online
Language
A language of the resource
English
Type
The nature or genre of the resource
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
Sinthia G., Dept. of Computer Science and Engineering CHRIST (Deemed to be University), Faculty of Engineering, Bangalore, Karnataka, India; Balamurugan M., Dept. of Computer Science and Engineering CHRIST (Deemed to be University), Faculty of Engineering, Bangalore, Karnataka, India
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Dublin Core
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Title
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Conference Papers
Conference Paper
Faculty Publications- Conference Papers
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
Assessing Human Stress Through Smartphone Usage
Subject
The topic of the resource
Activity recognition; Humansmartphone interactions; Smart stress sense; Stress analysis; Stress through smartphone
Description
An account of the resource
Stress occurs in a human being when they are faced with exigent situations in life. Assessing stress has been always challenging. Smartphones have become a part of everyones day-to-day activity in the present time. Considering humansmartphone interaction, sensing of stress in an individual can be assessed as todays youth spends most of their time with smartphones. Taking this into consideration, a study is carried out in this paper on assessing stress of an individual based on their interaction with the smartphone. In this work, humansmartphone interaction features, like swipe, scroll, and text input, are examined. Text input is incorporated by disabling the autocorrection and spelling checker features of the keyboard. Moreover, sensor data is used by Google activity recognition API to analyze the physical activity of the individual to assess the stress level. 2019, Springer Nature Singapore Pte Ltd.
Creator
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Sisodia P.R.; Vijayalakshmi A.
Source
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Lecture Notes in Electrical Engineering, Vol-545, pp. 389-399.
Publisher
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Springer Verlag
Date
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2019-01-01
Identifier
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<a href="https://doi.org/10.1007/978-981-13-5802-9_36" target="_blank" rel="noreferrer noopener">https://doi.org/10.1007/978-981-13-5802-9_36</a>
<br /><br /><a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85065462192&doi=10.1007%2F978-981-13-5802-9_36&partnerID=40&md5=5527ca711817ddf4705a6e8fa96b7f64" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85065462192&doi=10.1007%2f978-981-13-5802-9_36&partnerID=40&md5=5527ca711817ddf4705a6e8fa96b7f64</a>
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Restricted Access
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A related resource
ISSN: 18761100; ISBN: 978-981135801-2
Format
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Online
Language
A language of the resource
English
Type
The nature or genre of the resource
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
Sisodia P.R., Department of Computer Science, CHRIST (Deemed to be University), Bangalore, India; Vijayalakshmi A., Department of Computer Science, CHRIST (Deemed to be University), Bangalore, India
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Dublin Core
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Title
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Articles
Article
Faculty Publications -Articles
Dublin Core
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Title
A name given to the resource
Development of smart energy monitoring using NB-IOT and cloud
Subject
The topic of the resource
Cloud; NB-IOT; Network; Smart energy; Smart power monitoring system
Description
An account of the resource
IoT-based applications are growing in popularity nowadays because they offer effective answers to numerous current problems. In this research, With the aim of decreasing human efforts for monitoring the power units and increasing users' knowledge of excessive electricity usage, an IoT-based electric metre surveillance system utilising an Android platform has been developed. With the help of an Arduino Uno and an optical sensor, the electric analyser pulse is captured. To reduce human mistake and the expense of energy usage, a low-cost wireless network of sensors for digital energy metres is implemented alongside a smartphone application that can autonomously read the metre of the unit. In this research, an intelligent power monitoring system with effective communication modules has been developed to make wise use of the electricity. The controller, NB-IoT connection module, and cloud are the three main components of an IOT-based smart energy metre system. The controller is essential for maintaining the functionality of each component. This solution reduces the need for human involvement in electricity maintenance by connecting energy metres to the cloud using an NB-IoT communication module. The IoT-based metre reading system in the proposed work is created to monitor and analyse the metre reading, and the service provider can cut off the source of electricity whenever the customer fails to pay the monthly bill. It also eliminates the need for human intervention, provides accurate metre reading, and guards against billing errors. The proposed SPM improves the overall accuracy ranges of 7.42, 27.83, and 20% better than DR, OREM, and SLN respectively. 2023
Creator
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Siva Balan R.V.; Gouri M.S.; Senthilnathan T.; Gondkar S.R.; Gondar R.R.; Loveline Zeema J.; Jothikumar R.
Source
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Measurement: Sensors, Vol-29
Publisher
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Elsevier Ltd
Date
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2023-01-01
Identifier
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<a href="https://doi.org/10.1016/j.measen.2023.100884" target="_blank" rel="noreferrer noopener">https://doi.org/10.1016/j.measen.2023.100884</a>
<br /><br /><a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85170416869&doi=10.1016%2Fj.measen.2023.100884&partnerID=40&md5=58379b44390ae5a8b9eb6f379ecbbf29" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85170416869&doi=10.1016%2fj.measen.2023.100884&partnerID=40&md5=58379b44390ae5a8b9eb6f379ecbbf29</a>
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All Open Access; Gold Open Access
Relation
A related resource
ISSN: 26659174
Format
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Online
Language
A language of the resource
English
Type
The nature or genre of the resource
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
Siva Balan R.V., Department of Computer Science and Engineering, CHRIST (Deemed to be University), Bangalore, India; Gouri M.S., Department of Computer Science and Engineering, Baselios Mathews II College of Engineering Lake View, Muthupilakadu, Sasthamcotta, Kerala, Kollam, 690 520, India; Senthilnathan T., Department of Computer Science and Engineering, CHRIST (Deemed to be University), Bangalore, India; Gondkar S.R., Department of Electronics and Communication and Engineering, BMS Institute of Technology and Management, Bengaluru, 560064, India; Gondar R.R., Department of Computer Science and Engineering, CHRIST (Deemed to be University), Bangalore, India; Loveline Zeema J., Department of Computer Science and Engineering, CHRIST (Deemed to be University), Bangalore, India; Jothikumar R., Department of Computer Science and Engineering, Shadan College of Engineering and Technology, Peeran Cheru, Hyderabad, India
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Dublin Core
The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/.
Title
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Book Chapter
Book Chapter
Faculty Publications- Book Chapter
Dublin Core
The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/.
Title
A name given to the resource
The role of big data in predicting consumer behavior
Subject
The topic of the resource
Artificial intelligence; Big data; Consumer behavior; Machine learning
Description
An account of the resource
Consumer behavior prediction is a significant task, and it is a prerequisite for marketing activities. Regardless of the product type/market type, predicting consumer behavior plays a vital role in determining the target market. The activities involved in identifying a target market include the tasks of analyzing the offerings, conducting market research, identifying market segments to create consumer profiles, and assessing the competition. In order to complete all four tasks mentioned above, it needs to have comprehensive and precise data/dataset in hand. It also means that the data/fact is the primary source of predicting consumer behavior. In today's digital world, sources of source (data) are multifold. During the process of data collection, if the repository is accepting data from such sources, then all five "V" (Volume, Velocity, Variety, Veracity, and Value) of data should be considered. The role of big data in predicting consumer behavior is inevitable. Machine learning models shall be deployed to analyze data from big data. In this chapter, benchmark datasets, and machine learning, are used to demonstrate the usage of artificial intelligence in analyzing, forecasting, and predicting consumer behavior. Before concluding the chapter, the performance of algorithms is evaluated and compared to find the most suitable models for predicting consumer behavior. Benchmark datasets are used in this chapter to represent the role of big data in predicting consumer behavior. 2023 Nova Science Publishers, Inc. All rights reserved.
Creator
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Siva Balan R.V.; Kalpana P.
Source
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Big Data: A Road-Map for Successful Digital Marketing, pp. 111-132.
Publisher
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Nova Science Publishers, Inc.
Date
A point or period of time associated with an event in the lifecycle of the resource
2023-01-01
Identifier
An unambiguous reference to the resource within a given context
<a href="" target="_blank" rel="noreferrer noopener"></a>
<br /><br /><a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85172657018&partnerID=40&md5=c92ff819471e49b0698f73fc38ab3025" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85172657018&partnerID=40&md5=c92ff819471e49b0698f73fc38ab3025</a>
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Restricted Access
Relation
A related resource
ISBN: 979-889113003-6; 979-888697915-2
Format
The file format, physical medium, or dimensions of the resource
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
Siva Balan R.V., Department of Computer Science, CHRIST (Deemed to be University), Bangalore, Karnataka, India; Kalpana P., Department of Computer Science, CHRIST (Deemed to be University), Bangalore, Karnataka, 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
Conference Papers
Conference Paper
Faculty Publications- Conference Papers
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
Assessing Academic Performance Using Ensemble Machine Learning Models
Subject
The topic of the resource
Academic Assessment; Ensemble Model; Forecasting; Machine Learning; Prediction
Description
An account of the resource
Artificial Intelligence (AI) shall play a vital role in forecasting and predicting the academic performance of students. Societal factors such as family size, education and occupation of parents, and students' health, along with the details of their behavioral absenteeism are used as independent variables for the analysis. To perform this study, a standardized dataset is used with data instances of 1044 entries and a total of 33 unique variables constituting the feature matrix. Machine learning (ML) algorithms such as Support Vector Machine (SVM), Random Forest (RF), Multilayer Perceptron (MLP), LightGBM, and Ensemble Stacking (ES) are used to assess the specified dataset. Finally, an ES model is developed and used for assessment. Comparatively, the ES model outclassed other ML models with a test accuracy of 99.3%. Apart from accuracy, other parameters of metrics are used to evaluate the performance of the algorithms. 2023 IEEE.
Creator
An entity primarily responsible for making the resource
Siva Balan R.V.; Senthilnathan T.; Gobinath R.; Gondkar R.R.
Source
A related resource from which the described resource is derived
Proceedings of the International Conference on Circuit Power and Computing Technologies, ICCPCT 2023, pp. 917-924.
Publisher
An entity responsible for making the resource available
Institute of Electrical and Electronics Engineers Inc.
Date
A point or period of time associated with an event in the lifecycle of the resource
2023-01-01
Identifier
An unambiguous reference to the resource within a given context
<a href="https://doi.org/10.1109/ICCPCT58313.2023.10245216" target="_blank" rel="noreferrer noopener">https://doi.org/10.1109/ICCPCT58313.2023.10245216</a>
<br /><br /><a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85173863491&doi=10.1109%2FICCPCT58313.2023.10245216&partnerID=40&md5=6bff54ba6ce7ab745bfd0818fb1d2254" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85173863491&doi=10.1109%2fICCPCT58313.2023.10245216&partnerID=40&md5=6bff54ba6ce7ab745bfd0818fb1d2254</a>
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Restricted Access
Relation
A related resource
ISBN: 979-835033324-4
Format
The file format, physical medium, or dimensions of the resource
Online
Language
A language of the resource
English
Type
The nature or genre of the resource
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
Siva Balan R.V., CHRIST (Deemed-to-be University), Department of Computer Science, Karnataka, Bangalore, India; Senthilnathan T., CHRIST (Deemed-to-be University), Department of Computer Science, Karnataka, Bangalore, India; Gobinath R., CHRIST (Deemed-to-be University), Department of Computer Science, Karnataka, Bangalore, India; Gondkar R.R., CHRIST (Deemed-to-be University), Department of Computer Science, Karnataka, Bangalore, India