481
20
16488
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Articles
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Faculty Publications -Articles
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Effect of internal heat source modulations on the onset of triple diffusive convection in viscoelastic liquids
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Convection; Internal heat source modulation; Venezian approach; Viscoelastic liquid
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The paper aims to study the dynamic behavior of a triple diffusive system subjected to sinusoidal (trigonometric cosine) and non-sinusoidal wave forms (square, sawtooth and triangular) of internal heat source modulation. The configuration of the system is such that a layer of viscoelastic liquid is heated and salted with two solutes from below. An Oldroyd-B type model is made use for viscoelastic liquids. In order to regulate the convection onset, internal heat source modulation is applied. This investigation is modelled using a linear stability analysis where a stationary convection is preferred. Venezian approach facilitates a solution by finding the eigen values of the problem. The influence of pertinent parameters which are varied for a wide range of values have been reported. It is captured via graphs that for small values of frequency of modulation, square wave form is more stable while sawtooth wave form is more stable for an increment in the values of frequency of modulation. Further, liquids such as Newtonian, Maxwell and Rivlin-Ericksen are analysed as the limiting cases of the problem. It seems worthwhile to discuss the results of the present study as it is the first work on linear theory of different wave forms of internal heat source modulation and thus paves a way for new theoretical and experimental endeavors. 2021, National Institute of Science Communication and Information Resources. All rights reserved.
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Noor Arshika S.; Tarannum S.; Pranesh S.
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Indian Journal of Engineering and Materials Sciences, Vol-28, No. 5, pp. 509-519.
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National Institute of Science Communication and Information Resources
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2021-01-01
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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-s2.0-85123408198&partnerID=40&md5=aae0eac560015a29aab0df20162a5e3f" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85123408198&partnerID=40&md5=aae0eac560015a29aab0df20162a5e3f</a>
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ISSN: 9714588
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Online
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English
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Article
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Noor Arshika S., Department of Mathematics, CHRIST (Deemed to be University), Bengaluru, 560 029, India; Tarannum S., Department of Professional Studies, CHRIST (Deemed to be University), Bengaluru, 560 029, India; Pranesh S., Department of Mathematics, CHRIST (Deemed to be University), Bengaluru, 560 029, India
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PHD
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61000357
Title
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Study of Rayleigh-Benard Dynamical System Involving Newtonian and Nanofluids in Rectangular and Cylindrical Enclosures
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Mathematics and Statistics
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Analyzing and#64258;uid and#64258;ow behavior in the presence of temperature gradients subjected to internal and external forces in diand#64256;erent geometries is essential for optimization newlineprocesses for various engineering applications, guiding the design of more efcient thermal systems. This thesis focuses on investigating the Rayleigh-Bard convection problems occupying rectangular and cylindrical enclosures. The linear and newlineweakly nonlinear analyses are carried out that reveal the results on regular convection, heat transport and chaotic motion for each of the problems. Steady and newlineunsteady states of the Rayleigh-Bard system are studied using the Lorenz model. The dynamical system is investigated to look for possible chaotic motion. Fluid systems can exhibit chaotic behavior, and understanding the chaotic nature of these and#64258;ows is essential for accurate predictions of their evolution over time. In view of this, the regular, chaotic, and periodic natures of the dynamical system is thoroughly analyzed. Further, the inand#64258;uence of various parameters on the indicators of chaos is explored. Additionally, the thermal performance of the system is looked into by introducing nanoparticles/nanotubes into the base and#64258;uid. newlineWith the aformentioned motivation, we now present the abstract of each of the problems considered in this thesis one-by-one. 1. Impact of boundary conditions on Rayleigh-Bard convection: stability, heat transfer and chaos In the frst problem of the thesis, discussed in Chapter 3, a comparison is made newlinebetween the results of Rayleigh-Bard convection problem for diand#64256;erent boundary combinations, namely, rigid-rigid-isothermal, rigid-free-isothermal and free-free isothermal boundaries for a Newtonian and#64258;uid. The linear and weakly-nonlinear analyses reveal that the onset of regular and chaotic motions in the case of rigid-freeisothermal boundaries happens later than that of free-free isothermal boundaries but earlier than rigid-rigid-isothermal boundaries.+
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Noor, Arshika S
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Author's Submission
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Christ(Deemed to be University)
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2024-01-01
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Tarannum, Sameena.
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Open Access
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PDF
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English
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PhD
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<a href="http://hdl.handle.net/10603/582386" target="_blank" rel="noreferrer noopener">http://hdl.handle.net/10603/582386</a>
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Faculty Publications
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Noronha, Raoul Samuel; Alenchery, Alex Stanley; Deepa, S.; Jayapriya, J.; Vinay, M.
Title
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Revolutionizing Legal Intelligence: Advances in Neural Networks and Language Models for Legal NLP
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01-01-2025
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Proceedings of 2025 3rd International Conference on Intelligent Systems, Advanced Computing, and Communication, ISACC 2025;pp.608-616
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<a href="https://doi.org/10.1109/ISACC65211.2025.10969245" target="_blank" rel="noreferrer noopener">https://doi.org/10.1109/ISACC65211.2025.10969245</a> <br /><br /><a href="https://www.scopus.com/pages/publications/105005212651?origin=resultslist" target="_blank" rel="noreferrer noopener">https://www.scopus.com/pages/publications/105005212651?origin=resultslist</a>
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Noronha R.S., Christ University, Department of Computer Science, Bengaluru, India; Alenchery A.S., Christ University, Department of Computer Science, Bengaluru, India; Deepa S., Christ University, Department of Computer Science, Bengaluru, India; Jayapriya J., Christ University, Department of Computer Science, Bengaluru, India; Vinay M., Christ University, Department of Computer Science, Bengaluru, India
Description
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As the legal field continues to generate vast amounts of complex text, from contracts to court rulings, machine learning and natural language processing (NLP) techniques have emerged as valuable tools to help analyze and organize this data. In this paper, a number of state-of-the-art models will be reviewed and evaluated, including transformer models like BERT, GPT, and T5, and neural network models such as LSTM and CNN-RNN hybrids. These were then tested for the legal tasks of document classification, text summarization, and entity recognition. Some of the metrics used for evaluation include Accuracy, F1-Score, ROUGE, and BLEU. Advanced models, in particular large language models (LLMs), outperform the traditional methods by a large margin since they capture the niceties of legal language and structure much more completely. Meanwhile, high-quality legal datasets remain scarce, legalese remains incomprehensible to most, and the models are still relatively unexplainable. In sum, these challenges clearly call for future research in terms of data augmentation, explainable AI techniques, and more robust training methods that would allow AI-powered tools to be integrated much more effectively within lawyers' workflows to support them in their decision-making processes. 2025 IEEE.
Subject
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BERT; Contract Clause Extraction; GPT; Large Language Models (LLMs); Legal Document Classification; Legal NLP; Legal Text Summarization; Machine Learning; Named Entity Recognition (NER); Neural Networks; Transformer Models
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Institute of Electrical and Electronics Engineers Inc.
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ISBN: 979-833152389-3;
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English
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Conference paper
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Restricted Access; Hardcopy may be available in the library
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online
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Articles
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Elastic circuit de-constructor: a pattern to enhance resiliency in microservices
Subject
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circuit breaker; Cloud computing; cloud nativearchitecture; design patterns; microservices; resilience
Description
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Cloud-based workloads have proliferated with the deep penetration of the internet. Microservices based handling of high volume transactions and data have become extremely popular owing to their scalability and elasticity. The major challenge that cloud-based microservice patterns face is predicting dynamic load and failure patterns, which affect resiliency and uptime. Existing Circuit breaker patterns are biased toward denying incoming requests to maintain acceptable latency values, at the cost of availability. This paper proposes the Elastic Circuit De-Constructor (ECD) pattern to address these gaps. The proposed ECD pattern addresses this challenge by dynamically adapting to changing workloads and adjusting circuit-breaking thresholds based on real-time performance metrics. The proposed ECD pattern introduces a novel De-constructed state, that allows the ECD to identify alternate paths pre-defined by the application, ensuring user requests continue to be routed to the microservice. By leveraging Availability, Latency and Error rate as performance metrics, the ECD pattern is able to balance the fault tolerance and resiliency imperatives in the cloud-based microservices environment. The performance of the proposed ECD pattern has been verified against both no Circuit Breaker and a default Circuit Breaker setting. 2024 Informa UK Limited, trading as Taylor & Francis Group.
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Norton Stanley S.A.; Sebastian S.
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International Journal of Computers and Applications, Vol-46, No. 10, pp. 921-932.
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Taylor and Francis Ltd.
Date
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2024-01-01
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<a href="https://doi.org/10.1080/1206212X.2024.2397018" target="_blank" rel="noreferrer noopener">https://doi.org/10.1080/1206212X.2024.2397018</a>
<br /><br /><a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85202931817&doi=10.1080%2F1206212X.2024.2397018&partnerID=40&md5=1544ecd74a5cadc68e9ea26fa3319320" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85202931817&doi=10.1080%2f1206212X.2024.2397018&partnerID=40&md5=1544ecd74a5cadc68e9ea26fa3319320</a>
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ISSN: 1206212X; CODEN: IJCAF
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Online
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English
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Article
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Norton Stanley S.A., Department of Computer Science, CHRIST (Deemed to be University), Bangalore, India; Sebastian S., Department of Computer Science, CHRIST (Deemed to be University), Bangalore, India
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Title
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Conference Papers
Conference Paper
Faculty Publications- Conference Papers
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Title
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Circuit Breaker: A Resilience Mechanism for Cloud Native Architecture
Subject
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Circuit Breaker; Cloud Native Applications; Fault Tolerance; Microservice Patterns; Resilience
Description
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Over the past decade, the utilization of cloud native applications has gained significant prominence, leading many organizations to swiftly transition towards developing software applications that leverage the powerful, accessible, and efficient cloud infrastructure. As these applications are deployed in distributed environments, there arises a need for reliable mechanisms to ensure their availability and dependability. Among these mechanisms, the circuit breaker pattern has emerged as a crucial element in constructing resilient and trustworthy cloud native applications in recent times. This research article presents a comprehensive review and analysis of circuit breaker patterns and their role within cloud-native applications. The study delves into various aspects of circuit breakers, encompassing their design, implementation, and recommended practices for their utilization in cloud native applications. Additionally, the article examines and compares different circuit breaker libraries available for employment in modern software development. The paper also presents a concept for improving the circuit breaker pattern, which will be pursued in our upcoming research. 2023 IEEE.
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Norton Stanley S.A.; Sebastian S.
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2023 Global Conference on Information Technologies and Communications, GCITC 2023
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Institute of Electrical and Electronics Engineers Inc.
Date
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2023-01-01
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<a href="https://doi.org/10.1109/GCITC60406.2023.10426195" target="_blank" rel="noreferrer noopener">https://doi.org/10.1109/GCITC60406.2023.10426195</a>
<br /><br /><a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85191704374&doi=10.1109%2FGCITC60406.2023.10426195&partnerID=40&md5=9b53afd64c536e93060863b8b81c5c09" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85191704374&doi=10.1109%2fGCITC60406.2023.10426195&partnerID=40&md5=9b53afd64c536e93060863b8b81c5c09</a>
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ISBN: 979-835030816-7
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Online
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English
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Conference paper
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Norton Stanley S.A., Christ (Deemed to Be University), Department of Computer Science, Bangalore, India; Sebastian S., Christ (Deemed to Be University), Department of Computer Science, Bangalore, India
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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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A Systematic Review on the Identification and Classification of Patterns in Microservices
Subject
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microservice patterns; microservices; pattern classification; pattern identification; software architecture
Description
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Determining patterns in monolithic systems to help improve the overall system development and maintenance has become quite commonplace. However, recognizing the patterns that have emerged (or are emerging) in cloud computing - especially with respect to microservices, is challenging. Although numerous patterns have been proposed through extensive research and implementation, the quality assessment tools that are currently available fall short when it comes to accurately recognizing patterns in microservices. It has been identified that a completely autonomous tool for the identification and classification of patterns in microservices has not been developed so far. Moreover, classification of services is an approach that has not been considered by researchers that are working in this field. This paper aims to perform a detailed systematic literature review that can help to explore the various possibilities of identifying and classifying the patterns in microservices. The article also briefly lists out a set of tools that is used in the industry for the implementation of patterns in microservices. 2023 IEEE.
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Norton Stanley S.A.; Sebastian S.
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2023 4th International Conference for Emerging Technology, INCET 2023
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Institute of Electrical and Electronics Engineers Inc.
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2023-01-01
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<a href="https://doi.org/10.1109/INCET57972.2023.10170375" target="_blank" rel="noreferrer noopener">https://doi.org/10.1109/INCET57972.2023.10170375</a>
<br /><br /><a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85166375634&doi=10.1109%2FINCET57972.2023.10170375&partnerID=40&md5=13c2fc9743a73c257368f4fb0c2116d8" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85166375634&doi=10.1109%2fINCET57972.2023.10170375&partnerID=40&md5=13c2fc9743a73c257368f4fb0c2116d8</a>
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ISBN: 979-835033575-0
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Online
Language
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English
Type
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Conference paper
Coverage
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Norton Stanley S.A., CHRIST (Deemed to Be University), Department of Computer Science, Bengaluru, India; Sebastian S., CHRIST (Deemed to Be University), Department of Computer Science, Bengaluru, India
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Conference Papers
Conference Paper
Faculty Publications- Conference Papers
Dublin Core
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A Review and Comparative Study on Surface Vehicle Path Planning Algorithm
Subject
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Automatic Identification System (AIS); International Regulations for Preventing Collision at Sea (COLREGS); Unmanned Surface Vehicles (USVs); Vessel Intelligent Collision Avoidance Decisionmaking (VICAD)
Description
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Autonomous Surface Vehicles (ASV) is very active area of robotics. There are so many projects are going on and doing research on monitoring and surveying on environment. There are significant studies on AS V's reverie, sea and coastal environments. Many algorithms are used by different researchers for path planning or route planning. Programmed recreation projects of boat route can be a useful asset for operational arranging and Layout investigations of conduits. In such a recreation framework the key undertakings of self-ruling course finding, and impact evasion are done by a reproduction program itself without or minimum interaction of a human pilot. That is from numerous points of view like programmed route frameworks in that they are intended to do self-governing route securely and proficiently without the requirement for Human intercession or to offer exhortation to the guide in regard to the best game-plan to take in certain circumstances. There are two key errands of programmed transport route frameworks: course finding and Collision evasion. 2021 ACM.
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Nunia V.; Poonia R.C.
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ACM International Conference Proceeding Series, pp. 106-109.
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Association for Computing Machinery
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2021-01-01
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<a href="https://doi.org/10.1145/3484824.3484874" target="_blank" rel="noreferrer noopener">https://doi.org/10.1145/3484824.3484874</a>
<br /><br /><a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85123803940&doi=10.1145%2F3484824.3484874&partnerID=40&md5=69c8544030807f1ae760dabc75ddbf5c" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85123803940&doi=10.1145%2f3484824.3484874&partnerID=40&md5=69c8544030807f1ae760dabc75ddbf5c</a>
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ISBN: 978-145038763-7
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Online
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English
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Conference paper
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Nunia V., Department of Computer Science and Engineering, Amity University, Rajasthan, Jaipur, India; Poonia R.C., Department of Computer Science, CHRIST Deemed to Be University, Karnataka, Bangalore, India
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Articles
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Drivers and inhibitors of consumers adoption of AI-driven drone food delivery services
Subject
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Artificial intelligence; Drone; Food delivery; Mixed methods
Description
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This study sheds light on the determinants of consumers adoption of artificial intelligence-driven drone food delivery service (AI-driven DFDS) using a mixed-methods approach. Interviews with hospitality industry professionals revealed several drivers and inhibitors of AI-driven DFDS adoption. Using these findings, we developed a theoretical model AI-driven DFDS adoption based on the premise of the behavioral reasoning theory and innovation resistance theory. The model was tested using data collected from 1240 consumers. The results suggest that drones relative advantage, perceived ubiquity, social influence, and green image positively influence attitudes and adoption. Risk, usage, and experience barriers have an adverse influence on attitudes and adoption. Consumers openness to new technology has a positive influence on reasons for using AI-driven DFDS. The research makes an important theoretical contribution to research on the adoption of AI-driven DFDS. The study also provides important practical implications for marketers and industry professionals. 2024 Elsevier Ltd
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Nunkoo R.; Pillai R.; Sivathanu B.; Rana N.P.
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International Journal of Hospitality Management, Vol-123
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Elsevier Ltd
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2024-01-01
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<a href="https://doi.org/10.1016/j.ijhm.2024.103913" target="_blank" rel="noreferrer noopener">https://doi.org/10.1016/j.ijhm.2024.103913</a>
<br /><br /><a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85203665918&doi=10.1016%2Fj.ijhm.2024.103913&partnerID=40&md5=83ba7360cc5a1866a35813b07f9a1ed0" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85203665918&doi=10.1016%2fj.ijhm.2024.103913&partnerID=40&md5=83ba7360cc5a1866a35813b07f9a1ed0</a>
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ISSN: 2784319; CODEN: IJHMD
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Online
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English
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Article
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Nunkoo R., Department of Management, University of Mauritius, Reduit, Mauritius, School of Tourism and Hospitality, University of Johannesburg, South Africa, Kyung Hee University, Campus, 26 Kyungheedae-ro, Dongdaemun-gu, South Korea, Griffith Institute for Tourism, Griffith University, Gold Coast, Australia, Copenhagen Business School, Denmark; Pillai R., Department of Management, Pune Institute of Business Management, Maharashtra, Pune, India; Sivathanu B., School of Business and Management, Christ University, Karnataka, Bengaluru, 560074, India; Rana N.P., Queen's Business School, Queen's University Belfast, Riddel Hall, 185 Stranmillis Road, Belfast, BT9 5EE, United Kingdom, Jaipuria Institute of Management Lucknow, Vineet Khand, UP, Lucknow, 226010, India
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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/.
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Skewed Food Policies, Distorted Inter-crop Parity, and Nutri-cereal Farmers - An Empirical Analysis
Description
An account of the resource
Farmer profitability, cost of food production, and associated issues of nutri-cereals are analysed by leveraging a large database spanning a 35-year period. The skewed food policies being followed in India are highlighted here. An unacceptably high distortion in inter-crop parity was found, which led to loss of profitability, increased costs, and lower prices for the nutri-cereals. The policymakers must take corrective measures in several aspects, including technologies, prices, input provision, processing, storage, and distributional policies to promote the production and consumption of nutri-cereals in India. 2023 Economic and Political Weekly. All rights reserved.
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Nuthalapati C.S.; Beero S.K.; Kumar A.; Sonkar V.; Areef M.
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Economic and Political Weekly, Vol-58, No. 34, pp. 54-63.
Publisher
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Economic and Political Weekly
Date
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2023-01-01
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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-s2.0-85171281103&partnerID=40&md5=38ec0c14d87868ee529b733106ef6b6a" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85171281103&partnerID=40&md5=38ec0c14d87868ee529b733106ef6b6a</a>
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Restricted Access
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A related resource
ISSN: 129976
Format
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Online
Language
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English
Type
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Conference paper
Coverage
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Nuthalapati C.S., Cornell University, New Delhi, India; Beero S.K., Christ Deemed University, Delhi NCR Campus, India; Kumar A., International Food Policy Research Institute, South Asia Office, New Delhi, India; Sonkar V., International Food Policy Research Institute, South Asia Office, New Delhi, India; Areef M., Mulla Areef is with the IEG, New Delhi, India
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Articles
Article
Faculty Publications -Articles
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Title
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Supermarket procurement and farmgate prices in India
Subject
The topic of the resource
Hedonic price models; India; Small-scale farmers; Supermarkets; Transaction costs
Description
An account of the resource
Supermarkets have gained in importance in the food systems of many developing countries, with profound implications for smallholder farmers. Several studies analyzed effects of selling to supermarkets on smallholder productivity and income. However, no previous work systematically analyzed effects of supermarkets on farmgate prices, even though prices are important determinants of farmers profits and livelihoods. Here, we use data from smallholder vegetable growers in India to compare output prices received in supermarket and traditional market channels. We also quantify farmers transport and transaction costs in both channels. Even after controlling for quality differences, prices are significantly higher in supermarket channels. Positive price effects are confirmed through hedonic price models and propensity score matching. Average effects of supermarkets on farmgate prices are in a magnitude of 20% or more. Higher farmgate prices are due to fewer intermediaries and lower transaction costs in supermarket channels. In the absence of binding contracts, supermarkets also need to pay higher prices to ensure regular supply of high-quality vegetables. These results suggest that the rise of supermarkets can contribute to increased market efficiency with positive effects on farmgate prices and revenues. 2020 The Authors
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Nuthalapati C.S.R.; Sutradhar R.; Reardon T.; Qaim M.
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World Development, Vol-134
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Elsevier Ltd
Date
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2020-01-01
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<a href="https://doi.org/10.1016/j.worlddev.2020.105034" target="_blank" rel="noreferrer noopener">https://doi.org/10.1016/j.worlddev.2020.105034</a>
<br /><br /><a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85086737315&doi=10.1016%2Fj.worlddev.2020.105034&partnerID=40&md5=9d9a760f9ef03869ea7c43cd7f07c87c" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85086737315&doi=10.1016%2fj.worlddev.2020.105034&partnerID=40&md5=9d9a760f9ef03869ea7c43cd7f07c87c</a>
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All Open Access; Hybrid Gold Open Access
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ISSN: 0305750X
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Online
Language
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English
Type
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Article
Coverage
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Nuthalapati C.S.R., Institute of Economic Growth, University of Delhi Enclave, New Delhi, India; Sutradhar R., Christ University, Bangalore, India; Reardon T., Michigan State University, East Lansing, MI, United States; Qaim M., University of Goettingen, Goettingen, Germany
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Title
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Faculty Publications
Conference Paper
Faculty Publications- Conference Papers
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Nwibo, Ezekiel Gabriel; Iwendi, Celestine; Sharma, Vandana; Nwigwe, Simon; Ojo, Olayinka Anthony; Odirichukwu, Jacinta Chioma
Title
A name given to the resource
Prediction of Campus Energy Consumption Patterns Using Machine Learning Techniques
Date
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01-01-2025
Source
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2025 12th International Conference on Reliability, Infocom Technologies and Optimization ,Trends and Future Directions, ICRITO 2025;
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<a href="https://doi.org/10.1109/ICRITO66076.2025.11241252" target="_blank" rel="noreferrer noopener">https://doi.org/10.1109/ICRITO66076.2025.11241252</a> <br /><br /><a href="https://www.scopus.com/pages/publications/105029841206?origin=resultslist" target="_blank" rel="noreferrer noopener">https://www.scopus.com/pages/publications/105029841206?origin=resultslist</a>
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Nwibo E.G., School of Arts and Creative Technologies, University of Greater Manchester, Department of Computing, Bolton, United Kingdom; Iwendi C., School of Arts and Creative Technologies, University of Greater Manchester, Department of Computing, Bolton, United Kingdom; Sharma V., Christ University, Computer Science Department, Bengaluru, India; Nwigwe S., Doctoral College, University of Greater Manchester, Department of Research, Bolton, United Kingdom; Ojo O.A., University of Greater Manchester, Department of Computing, Bolton, United Kingdom; Odirichukwu J.C., Federal University of Technology Owerri, Department of Computer Science, Nigeria
Description
An account of the resource
The exponential increase in campus energy consumption results from the rise in population density, leading to urbanisation and the use of higher energy-intensive devices within the environment. This study explored high-performance data analytics techniques to visualise energy consumption across buildings using datasets obtained from a load audit of the entire distribution network within the Federal University of Technology, Owerri (FUTO). Advanced time series models were used to predict and forecast the consumption patterns for a year. Visualisations for this research provided detailed insights into the energy profile across all the clusters, while the SARIMA, ARIMA, and Prophet models predicted the energy demands. The heatmap for the correlation matrix reveals a constant energy scale throughout the week (weekend average energy usage is at least 40% of the weekday). A comparative performance was done to analyse the scalability and predictive abilities of the individual models. Results from the study indicate that SARIMA has the lowest mean square error (4.4896) and the highest R2 score (0.8362). The study concludes that the adoption of machine learning models for energy forecasting and prediction is vital for modern-day energy management in the University. 2025 IEEE.
Subject
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ARIMA; Artificial Intelligence; Energy Management; Machine Learning; Prophet; Renewable Energy; SARIMA
Publisher
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Institute of Electrical and Electronics Engineers Inc.
Relation
A related resource
ISBN: 979-833155421-7;
Language
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English
Type
The nature or genre of the resource
Conference paper
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
A name given to the resource
Faculty Publications
Conference Paper
Faculty Publications- Conference Papers
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Creator
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Nwigwe, Simon; Iwendi, Celestine; Sharma, Vandana; Ojo, Olayinka Anthony; Uwah, Salome Enoshi; Nwibo, Ezekiel Gabriel
Title
A name given to the resource
Comparative Analysis of Machine Learning Models for Uterine Cancer Prediction Using Clinical and Genomic Data
Date
A point or period of time associated with an event in the lifecycle of the resource
01-01-2025
Source
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2025 12th International Conference on Reliability, Infocom Technologies and Optimization ,Trends and Future Directions, ICRITO 2025;
Identifier
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<a href="https://doi.org/10.1109/ICRITO66076.2025.11241682" target="_blank" rel="noreferrer noopener">https://doi.org/10.1109/ICRITO66076.2025.11241682</a> <br /><br /><a href="https://www.scopus.com/pages/publications/105029800501?origin=resultslist" target="_blank" rel="noreferrer noopener">https://www.scopus.com/pages/publications/105029800501?origin=resultslist</a>
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Nwigwe S., University of Greater Manchester, Centre of Intelligence of Things, Bolton, United Kingdom; Iwendi C., University of Greater Manchester, Centre of Intelligence of Things, Bolton, United Kingdom; Sharma V., Christ University, Computer Science Department, Bengaluru, India; Ojo O.A., University of Greater Manchester, Centre of Intelligence of Things, Bolton, United Kingdom; Uwah S.E., University of Greater Manchester, Centre of Intelligence of Things, Bolton, United Kingdom; Nwibo E.G., University of Greater Manchester, Centre of Intelligence of Things, Bolton, United Kingdom
Description
An account of the resource
Uterine cancer prediction accuracy is important in clinical decision-making because it improves the overall chances of patient recovery. Several machine learning models, such as Decision Tree, Random Forest, XGBoost Regressor, and Support Vector Regressor, were explored to determine which is more effective in predicting uterine cancer. Attributes such as mutation counts, diagnosis age, and MSI score, were used for the analysis. The different models were tested using the standard performance metrics such as the Mean Absolute Error (MAE), Root Mean Squared Error (RMSE), and R2 Score. Random Forest showed the highest predictive performance with an R2 score of 0.655, followed by XGBoost regressor, which was relatively close to the R2 score of Random Forest. Support Vector Regressor performed very poorly as the R2 score was negative, implying that the model is not suitable for such prediction. Ensemble-based models, which include Random Forest and XGBoost Regressor, have proven to be more effective in handling medical prediction tasks, and this is because of their robustness and their ability when it comes to handle overfitting. Though model generalizability was affected due to small data size and the absence of hyperparameter tuning. The future work will focus on expanding the dataset, implementing hyperparameter tuning, integrating deep learning, and leveraging explainable AI (XAI). The research has provided valuable insight for clinicians who wish to use machine learning for uterine cancer prognosis. 2025 IEEE.
Subject
The topic of the resource
Clinical Data; Genomic Data; Machine Learning; Medical AI; Prediction; Random Forest; Uterine Cancer; XGBoost
Publisher
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Institute of Electrical and Electronics Engineers Inc.
Relation
A related resource
ISBN: 979-833155421-7;
Language
A language of the resource
English
Type
The nature or genre of the resource
Conference paper
Rights
Information about rights held in and over the resource
Restricted Access; Hardcopy may be available in the library
Format
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online
-
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
A name given to the resource
Cellular agriculture research progress and prospects: Insights from bibliometric analysis
Subject
The topic of the resource
Bibliometrics; Cellular agriculture; Cultured meat; Insect-based meat; Plant-based meat; Scientometrics
Description
An account of the resource
World agriculture is facing a daunting task to feed the burgeoning population against multiple production and environmental threats. The alarming growth in population vis-vis current food production is expected to increase the global food insecurity levels. Inter alia, cellular agriculture an incipient technology is being considered as a potential alternative to cater for the growing demand for food and nutrition. The technology aims to develop edible agricultural products including meat with reduced environmental footprint against conventional farm production. In this context, an attempt has been made to review the progress of cellular agriculture research in four decades (19812020) through a bibliometric analysis and to suggest a roadmap for future research. The study sourced data from the Web of Science during October 2020. Using keywords, the database showed 212 searches pertaining to cellular agriculture from 135 journals worldwide. Of the journals, seven had at least five published articles and 33 had two articles each. Subsequently, the bibliographic coupling among the identified journals was carried out. It is found that the Journals: Appetite, Meat Science, and Journal of Agricultural and Environmental Ethics had the largest circles corresponding to their respective number of publications coupled with notable linkages with other journals. Also, a detailed analysis was performed on categories, growth trend, keywords, institutions, regions and leading researchers of cellular agriculture. The findings indicate that the Appetite Journal followed by the Journal of Agricultural and Environmental Ethics had published a significant percentage of articles on cellular agriculture, and Environmental Science and Technology was identified as the highly cited journal. The USA, England and the Netherlands were identified as the progressive regions in cellular agriculture research. The bibliometric analysis points to sluggish progress in cellular agriculture research and production despite its potential benefits. Future research should focus on the cost-effectiveness of the technology, consumer willingness to buy, development of food safety protocols on its merit and regional policy governance coupled with popularising its paybacks in the context of ensuring food security. 2021 The Author(s)
Creator
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Nyika J.; Mackolil J.; Workie E.; Adhav C.; Ramadas S.
Source
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Current Research in Biotechnology, Vol-3, pp. 215-224.
Publisher
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Elsevier B.V.
Date
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2021-01-01
Identifier
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<a href="https://doi.org/10.1016/j.crbiot.2021.07.001" target="_blank" rel="noreferrer noopener">https://doi.org/10.1016/j.crbiot.2021.07.001</a>
<br /><br /><a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85110011396&doi=10.1016%2Fj.crbiot.2021.07.001&partnerID=40&md5=7aeb95013fdf8ca9f90d8e2df6bdcc52" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85110011396&doi=10.1016%2fj.crbiot.2021.07.001&partnerID=40&md5=7aeb95013fdf8ca9f90d8e2df6bdcc52</a>
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All Open Access; Gold Open Access
Relation
A related resource
ISSN: 25902628
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
Nyika J., Technical University of Kenya, Nairobi, Kenya; Mackolil J., CHRIST (Deemed to be University), Bangalore, India; Workie E., School of Environmental Science and Engineering, Shanghai Jiao Tong University, China; Adhav C., ICAR-National Dairy Research Institute, Haryana, India; Ramadas S., ICAR-Indian Institute of Wheat and Barley Research, Haryana, India
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https://archives.christuniversity.in/files/original/e8eddd7cfa814c7f17c4cbc5f8e7ae47.jpg
0b6dfeeadbd8dbf97f5aef738454f6b9
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Title
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Patents
Subject
The topic of the resource
Patent
Description
An account of the resource
Patent
Patent
Patents
Dublin Core
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Title
A name given to the resource
IOT based intelligent traffic management system /
Subject
The topic of the resource
Internet of Things
Description
An account of the resource
Patent Number: 202131062286, Applicant: Bikas Mondal.
As the population grows and there are more cars on the roads, a large number of people may visit a site. It may be difficult for those who work there to keep track of everyone who comes in. Cloud-based interconnection between vehicles will benefit traffic cops by allowing them to monitor traffic and flow patterns without having to get out and do anything. Customers with valid driver's licences can only use a vehicle with an automatic ignition that is solely based on biometrics.
Creator
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O S, Gnana Prakasi.
Source
A related resource from which the described resource is derived
<a href="https://drive.google.com/file/d/1jryTNGbQ2b5geLedQaNubOqZhbLy9w_Q/view" target="_blank" title="IOT based intelligent traffic management system /" rel="noreferrer noopener">https://drive.google.com/file/d/1jryTNGbQ2b5geLedQaNubOqZhbLy9w_Q/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
2022-05-14
Language
A language of the resource
English
Type
The nature or genre of the resource
Patent
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https://archives.christuniversity.in/files/original/3b951170e4cb9e1e540a0b64b5b89933.png
ae8597b1fb62da5294ca14f6fc0ece85
Dublin Core
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Title
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Patents
Subject
The topic of the resource
Patent
Description
An account of the resource
Patent
Patent
Patents
Dublin Core
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
Photonic crystal based piston type micro pressure sensor /
Subject
The topic of the resource
Physics
Description
An account of the resource
Patent Number: 201741047023, Applicant: Dr. Preeta Sharan.
A pressure sensor comprising, A two piston shaped slab structure placed invertedly, this two piston are ket such that there is physical gap between them. Further the micro pressure is applied from top and bottom end.
Creator
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O V, Johnson.
Source
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<a href="https://drive.google.com/file/d/1KUt7RSZ0MYFnyK9G4L-5bY7mQVik4XQh/view" target="_blank" title="Photonic crystal based piston type micro pressure sensor /" rel="noreferrer noopener">https://drive.google.com/file/d/1KUt7RSZ0MYFnyK9G4L-5bY7mQVik4XQh/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
2019-03-15
Language
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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
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Articles
Article
Faculty Publications -Articles
Dublin Core
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Title
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A novel moems sensor design simulation and analysis with MEEP /
Subject
The topic of the resource
Electronics and Communication Engineering
Description
An account of the resource
International Journal Of Engineering Technology Science And Research, Vol.2, Issue 8, pp.319-325, ISSN No: 2394-3386.
Creator
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O V, Johnson., Sharan, Preeta
Source
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<a href="http://www.ijetsr.com/images/short_pdf/1440862636_johnson_ijetsr.pdf" target="_blank" title="A novel moems sensor design simulation and analysis with MEEP" rel="noreferrer noopener">http://www.ijetsr.com/images/short_pdf/1440862636_johnson_ijetsr.pdf</a>
Publisher
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IJETSR
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
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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
Online Health Information Behavior: A study based on PLS-SEM
Subject
The topic of the resource
behavioral intention; health belief model; online health information seeking behavior; perceived behavioral control; post search behavior
Description
An account of the resource
In this digital era, internet provides a speedy, economical and convenient platform for seeking information on health. Moreover, the presence of audio visual resources for health and option to get expert opinion directly makes online health information seeking behaviour more adaptable among the health consumers. The major purpose of this study is to investigate the relationship between online health information seeking behaviour and the consequences of post-search. For doing the analysis, Smart PLS2 is used to execute structural equation modelling technique to understand the relationship between variables under study. The results of the study recommend that one's intention to search health information online is a significant predictor of post-search behavior in terms of altering health condition, visiting physician or sharing the same information with others. The present study gives a strong indication to the health care practitioners to understand the mechanism of desires and intentions of a healthcare consumer towards online health information seeking behavior. 2021 IEEE.
Creator
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Oberai H.; Anand I.M.
Source
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2021 5th International Conference on Information Systems and Computer Networks, ISCON 2021
Publisher
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Institute of Electrical and Electronics Engineers Inc.
Date
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2021-01-01
Identifier
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<a href="https://doi.org/10.1109/ISCON52037.2021.9702326" target="_blank" rel="noreferrer noopener">https://doi.org/10.1109/ISCON52037.2021.9702326</a>
<br /><br /><a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85126478101&doi=10.1109%2FISCON52037.2021.9702326&partnerID=40&md5=b7930f1cd18acf3115262be03315a9b7" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85126478101&doi=10.1109%2fISCON52037.2021.9702326&partnerID=40&md5=b7930f1cd18acf3115262be03315a9b7</a>
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Restricted Access
Relation
A related resource
ISBN: 978-166540341-2
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
Oberai H., GLA University, Institute of Business Management, Mathura, India; Anand I.M., Christ University, School of Business Management, Ghaziabad, 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
Cooperation affects NGO staff performance patterns
Subject
The topic of the resource
compensation benefits; motivation; NGO; non-governmental organisation; organisational performance patterns; team trust; transparency
Description
An account of the resource
In order to optimise employee productivity and overall profitability, non-profits must invest heavily in their human resources. Contrarily, the focus of this study will be on the value of cooperation and the strategies the non-governmental organisation (NGO) should use to improve the performance of the bank as a whole. Once the data have been collected using quantitative and qualitative techniques, SPSS descriptive statistics will be utilised to maintain the findings and support the research hypothesis. According to the study, qualities like trust, camaraderie, job happiness, and benefits directly impact employees productivity at the bank. The degree of teamwork among co-workers directly affects how productive an employee is. Using the statistical program SPSS, managers and staff of NGOs were surveyed; the results revealed a favourable correlation between employee performance and NGO cooperation. When employees cooperate at work, their productivity increases, and the efficacy of the organisations they work for rises. Good news for charitable organisations. Because of this, the collaborative NGO outperforms the non-collaborative NGO in terms of productivity. It was found that better communication results in greater cooperation amongst NGOs. Copyright 2023 Inderscience Enterprises Ltd.
Creator
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Oberai H.; Mishra B.S.; Anand I.M.; Soundararajan L.R.A.; Singh S.; Kumar T.
Source
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International Journal of Intellectual Property Management, Vol-13, No. 45750, pp. 494-511.
Publisher
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Inderscience Publishers
Date
A point or period of time associated with an event in the lifecycle of the resource
2023-01-01
Identifier
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<a href="https://doi.org/10.1504/IJIPM.2023.134066" target="_blank" rel="noreferrer noopener">https://doi.org/10.1504/IJIPM.2023.134066</a>
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Restricted Access
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ISSN: 14789647
Format
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Online
Language
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English
Type
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Article
Coverage
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Oberai H., Department of Management, GLA University, Mathura, India; Mishra B.S., Department of Management, L.N. Mishra College of Business Management, Bihar, India; Anand I.M., School of Business Management, Christ (Deemed to be University), NCR, Ghaziabad, India; Soundararajan L.R.A., Physical Therapy Department, College of Applied Medical Sciences, University of Hail, Hail Province, Saudi Arabia; Singh S., Department of Management, NIET, Greater Noida, India; Kumar T., College of Science and Humanities at Sulail, Prince Sattam Bin Abdulaziz University, Al Kharj, Saudi Arabia
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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
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Evaluating the Role of Economic Factors in Sustainable Consumption Behaviour
Subject
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consumer goods; economic factors; Sustainable consumption behaviour
Description
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The research paper investigates the intricate nexus between economic factors and sustainable consumption behaviour, providing a nuanced exploration of how such considerations shape an individuals choice in the realm of environmental responsibility. Drawing on established theories of consumer behaviour and sustainability, this study employs a positivist approach encompassing quantitative surveys and analysis. It scrutinises the effects of prices, expectations and other broader economic conditions on the adoption of sustainable practices. The findings contribute significantly to the existing body of knowledge by providing a holistic understanding of the economic levers instrumental in driving towards sustainable consumption like taste and preferences and price or hindering the shift towards sustainable consumption like societal behaviour and availability of alternatives. This research aims to inform policymakers, businesses and consumers alike, facilitating the development of targeted interventions and initiatives that foster a harmonious convergence of economic and ecological goals. 2024 IOS Press BV. All rights reserved.
Creator
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Oberoi P.; Bhandari J.
Source
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Asian Journal of Water, Environment and Pollution, Vol-21, No. 2, pp. 23-32.
Publisher
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IOS Press BV
Date
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2024-01-01
Identifier
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<a href="https://doi.org/10.3233/AJW240018" target="_blank" rel="noreferrer noopener">https://doi.org/10.3233/AJW240018</a>
<br /><br /><a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85194178236&doi=10.3233%2FAJW240018&partnerID=40&md5=e7afc173a8effb778722c62407dec4ce" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85194178236&doi=10.3233%2fAJW240018&partnerID=40&md5=e7afc173a8effb778722c62407dec4ce</a>
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Restricted Access
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ISSN: 9729860
Format
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Online
Language
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English
Type
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Article
Coverage
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Oberoi P., CHRIST University, Bengaluru, India; Bhandari J., CHRIST University, Bengaluru, India
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Dublin Core
The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/.
Title
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Faculty Publications
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/.
Creator
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Odyuo, Sentsuthung; M, Maya
Title
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Nagalands democratic paradox: where are the Naga women in politics?
Date
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01-01-2026
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Round Table;Volume;115;Issue;1;pp.159-161
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<a href="https://doi.org/10.1080/00358533.2025.2545565" target="_blank" rel="noreferrer noopener">https://doi.org/10.1080/00358533.2025.2545565</a> <br /><br /><a href="https://www.scopus.com/pages/publications/105013199702?origin=resultslist" target="_blank" rel="noreferrer noopener">https://www.scopus.com/pages/publications/105013199702?origin=resultslist</a>
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Odyuo S., Department of Social Work, Christ University, Bangalore, India; M M., Department of Sociology, Christ University, Bangalore, India
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Routledge
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ISSN: 358533;
Language
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English
Type
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Notes
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Restricted Access; Hardcopy may be available in the library
Format
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online