67
20
16481
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https://archives.christuniversity.in/files/original/ba6f69911959d2155458331645b8aa94.pdf
21f1ed65b43b6016975444ca9eff1d18
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Title
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Title
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Sum signed graph
Subject
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Mathematics
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Athira P Ranjith - 1881506
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CHRIST (Deemed to be University)
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2023-10-26
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English
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PhD
-
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Articles
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Faculty Publications -Articles
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Non-linear convection in chemically reacting fluid with an induced magnetic field across a vertical porous plate in the presence of heat source/sink
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Analytical solution; Chemical reaction; Heat source/sink; Induced magnetic field; Magnetic field; Nonlinear convection
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An investigation is carried out to observe the impacts of non-linear convection and induced magnetic field in the flow of viscous fluid over a porous plate under the influence of chemical reaction and heat source/sink. The plate is subjected to a regular free stream velocity as well as a suction velocity. The subjected non-linear problem is non-dimensionalized and analytic solutions are presented via perturbation method. The graphs are plotted to analyze the effect of relevant parameters on velocity, induced magnetic field, heat and mass transfer fields as well as friction factor, current density, Nusselt and Sherwood numbers. It is established that nonlinear convection aspect is destructive for thermal field and its layer thickness. The magnetic field effect enhances the thermal field while it reduces the velocity field. Also, the nonlinear effect subsides heat transfer rate significantly. 2018 Trans Tech Publications, Switzerland.
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Athira P.R.; Mahanthesh B.; Gireesha B.J.; Makinde O.D.
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Defect and Diffusion Forum, Vol-387, pp. 428-441.
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Trans Tech Publications Ltd
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2018-01-01
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<a href="https://doi.org/10.4028/www.scientific.net/DDF.387.428" target="_blank" rel="noreferrer noopener">https://doi.org/10.4028/www.scientific.net/DDF.387.428</a>
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ISSN: 10120386; CODEN: DDAFE
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Online
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English
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Article
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Athira P.R., Department of Mathematics, Christ University, Bangalore, 560029, India; Mahanthesh B., Department of Mathematics, Christ University, Bangalore, 560029, India; Gireesha B.J., Department of Studies and Research in Mathematics, Kuvempu University, Shimoga, 577 451, India; Makinde O.D., Faculty of Military Science, Stellenbosch University, Saldanha, 7395, South Africa
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Conference Papers
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Faculty Publications- Conference Papers
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FOPID controller tuning: A comparative study of optimization techniques for an automatic voltage regulator
Subject
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Ant Lion Optimization; Automated Voltage Regulator; FOPID Controller; Particle swarm Optimization; Salp Swarm Algorithm
Description
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This study evaluated a fractional order proportional-integral-derivative (FOPID) controller optimization with a fractional filter for an automated voltage regulator (AVR) system. For the suggested controller, a variety of different parameters can be changed. For the purpose of creating the optimum PID controller for an automated voltage regulator system, comparative analysis using multiple optimization methodologies is carried out. The Salp Swarm Algorithm (SSA), Ant Lion Optimization (ALO), and Particle Swarm Optimization algorithm (PSO) are the techniques that are being examined in this study. The settling time, rising time, and overshoot performance indices is being used. The transient responsiveness of the AVR system was increased by each of the recommended optimization techniques in a different way, and early results were optimistic. The comparison with the most ideally tuned FOPID controllers for the AVR system also serves to support the superiority of the suggested controller. 2023 Author(s).
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Athira S.; Aneesh V.
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AIP Conference Proceedings, Vol-2904, No. 1
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American Institute of Physics Inc.
Date
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2023-01-01
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<a href="https://doi.org/10.1063/5.0170829" target="_blank" rel="noreferrer noopener">https://doi.org/10.1063/5.0170829</a>
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ISSN: 0094243X
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Online
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English
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Conference paper
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Athira S., Department of Electronics and Communication Engineering, CHRIST (Deemed to Be University), Bengaluru, India; Aneesh V., Department of Electronics and Communication Engineering, CHRIST (Deemed to Be University), Bengaluru, India
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Conference Papers
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IRIS Data Classification using Genetic Algorithm Tuned Random Forest Classification
Subject
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Random Forest; Randomized CV
Description
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Optimising hyper-parameters in Random Forest is a time-consuming undertaking for several academics as well as professionals. To acquire greater performance hyper-parameters, specialists should explicitly customize a series of hyper-parameter settings. The best outcomes from this manual setting are then modelled and implemented in a random forest algorithm. Several datasets, on the other side, need various prototypes or hyper-parameter combinations, which may be time-consuming. To solve this, we offered various machine learning models and classifiers for correctly optimising hyper-parameters. Both genetic algorithm-based random forest and randomised CV random forest were assessed on performance measures such as sensitivity, accuracy, specificity, and F1-score. Finally, when compared to randomised CV random forest, our suggested model genetic algorithm-based random forest delivers more incredible accuracy. 2022 IEEE.
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Athithan S.; Bhola A.; Mittal S.; Sambandam R.K.; Thaiyalnayaki S.; Swapna I.
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Proceedings of International Conference on Technological Advancements in Computational Sciences, ICTACS 2022, pp. 321-326.
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Institute of Electrical and Electronics Engineers Inc.
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2022-01-01
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<a href="https://doi.org/10.1109/ICTACS56270.2022.9987868" target="_blank" rel="noreferrer noopener">https://doi.org/10.1109/ICTACS56270.2022.9987868</a>
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ISBN: 978-166547657-7
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Online
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English
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Conference paper
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Athithan S., Koneru Lakshmaiah Education Foundation, Department of Computer Science and Engineering, Andhra Pradesh, Vaddeswaram, India; Bhola A., Koneru Lakshmaiah Education Foundation, Department of Computer Science and Engineering, Andhra Pradesh, Vaddeswaram, India; Mittal S., Rd Engineering College, Department of Computer Science and Engineering, U.P, Ghaziabad, India; Sambandam R.K., Christ (Deemed to Be University), Department of Computer Science and Engineering, Bengaluru, India; Thaiyalnayaki S., Bharat Institute of Higher Education and Research, Department of Computer Science and Engineering, Chennai, India; Swapna I., Princeton Institute of Engineering and Tech for Women, Department of CSE, Telangana, India
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Faculty Publications
Conference Paper
Faculty Publications- Conference Papers
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Athul Ghosh, P.; Chidambaram, S.
Title
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Hyperspectral Image Classification using Archimedes Optimized 3D CNN layers
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01-01-2025
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Proceedings of 5th International Conference on Ubiquitous Computing and Intelligent Information Systems, ICUIS 2025;pp.151-157
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<a href="https://doi.org/10.1109/ICUIS67429.2025.11380606" target="_blank" rel="noreferrer noopener">https://doi.org/10.1109/ICUIS67429.2025.11380606</a> <br /><br /><a href="https://www.scopus.com/pages/publications/105034832266?origin=resultslist" target="_blank" rel="noreferrer noopener">https://www.scopus.com/pages/publications/105034832266?origin=resultslist</a>
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Athul Ghosh P., Christ University, School of Engineering and Technology, Department of Ece, Bangalore, India; Chidambaram S., Christ University, School of Engineering and Technology, Department of Ece, Bangalore, India
Description
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Background: Hyperspectral Image (HSI) classification involves analyzing images captured across numerous spectral bands to identify and categorize materials or objects. By exploiting spectral information, HSI enables precise detection of materials based on their unique spectral signatures. This extensive spectral information allows for accurate identification of materials and land cover types, making HSI classification essential for various applications. This research developed an optimization-based Deep Learning (DL) framework for effective classification of HSI. The methodology begins with a preprocessing step using Minimum Noise Fraction (MNF), a technique that leverages the noise covariance structure of the dataset to reduce dimensionality while preserving the most informative spectral features. To enhance classification performance, a novel model is proposed, known as Archimedes Optimization Algorithm-3D Convolutional Neural Network (AOA based 3D CNN). Archimedes Optimization Algorithm (AOA) is applied to fine-tune learning rate of 3D Convolutional Neural Network (3D CNN), thereby optimizing training convergence and enhancing accuracy. Result: The proposed AOA based 3D CNN approach exhibits outstanding performance, achieving 95.6% accuracy, 95.9% TPR, 94.1% TNR, 94.9% PPV, a Kappa coefficient of 95.4%, and an F1-score of 95.5%.Keywords: These results highlight the model's effectiveness, adaptability and robustness for HSI classification. 2025 IEEE.
Subject
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deep learning; HSI classification; Hyperspectral images; MNF; optimization
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Institute of Electrical and Electronics Engineers Inc.
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ISBN: 979-833155284-8;
Language
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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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Conference Papers
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LegalMind System and the LLM-based Legal Judgment Query System
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Artificial intelligence; Claude AI; Comparative analysis; Evaluation; Finance sector; Financial legal contexts; FLAN-T5-Base; Large Language Models (LLMs); Legal analysis; Legal documents; Legal insights; Legal Judgment Query System; LegalMind-GPT; LLAMA-2; Natural language processing; Research paper; Technology integration
Description
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LegalMind-GPT represents a notable advancement in legal technology, specifically tailored for the finance sector. This research paper introduces LegalMind-GPT, a system that integrates Large Language Models (LLMs) to develop a Legal Judgment Query System for financial legal contexts. The study focuses on the application of LLMs, particularly LLAMA-2, Claude AI, and FLAN-T5-Base, for interpreting and analysing complex legal documents in finance. The aim is to evaluate the system's effectiveness in providing accurate legal judgments and insights. The comparative analysis of these LLMs shows that LegalMind-GPT, powered by these models, significantly improves the accuracy and efficiency of legal analysis in the finance domain. 2024 IEEE.
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Athul S.; Saxena A.; Mahajan J.; Panikulangara L.; Kulkarni S.; Bang D.S.
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TQCEBT 2024 - 2nd IEEE International Conference on Trends in Quantum Computing and Emerging Business Technologies 2024
Publisher
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Institute of Electrical and Electronics Engineers Inc.
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2024-01-01
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<a href="https://doi.org/10.1109/TQCEBT59414.2024.10545179" target="_blank" rel="noreferrer noopener">https://doi.org/10.1109/TQCEBT59414.2024.10545179</a>
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ISBN: 979-835038427-7
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Online
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English
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Conference paper
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Athul S., Christ University, India; Saxena A., Christ University, India; Mahajan J., Christ University, India; Panikulangara L., Synechron, India; Kulkarni S., Ibm, India; Bang D.S., Christ University, India
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Faculty Publications
Conference Paper
Faculty Publications- Conference Papers
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Athulya, S.; Reena, Melbin J.
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AI-Driven Continuous Learning Analysis and Blockchain Validation: A Review on Innovations in Digital Education
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01-01-2025
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2025 International Conference on Data Science and Business Systems, ICDSBS 2025;
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<a href="https://doi.org/10.1109/ICDSBS63635.2025.11032007" target="_blank" rel="noreferrer noopener">https://doi.org/10.1109/ICDSBS63635.2025.11032007</a> <br /><br /><a href="https://www.scopus.com/pages/publications/105011047046?origin=resultslist" target="_blank" rel="noreferrer noopener">https://www.scopus.com/pages/publications/105011047046?origin=resultslist</a>
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Athulya S., Department of Computer Science and Engineering, Christ University, Bangalore, India; Reena M.J., Department of Computer Science and Engineering, Christ University, Bangalore, India
Description
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The rapid evolution of digital education has necessitated innovative approaches to enhance learning experiences, provide personalized insights, and ensure the credibility of achievements. This study analyses the challenges in AI-based continuous learning analysis for students and how we can securely share certificates through blockchain technology. The amalgamation of artificial intelligence and blockchains can create a secure, open, and trustworthy environment that schools, students, and employers can make use of. It is important to protect student data along with technological advancements. In response to the dynamic landscape of digital education, novel approaches are essential to enrich learning experiences, offer personalized insights, and maintain the credibility of achievements. This research reviews existing AI-based framework that facilitates ongoing learning assessment for students while ensuring secure certificate sharing through blockchain technology. By amalgamating artificial intelligence and blockchain, a robust ecosystem emerges that fosters transparent, efficient, and secure interactions among educational institutions, learners, and employers. Drawing from these evaluations, the framework suggests customized learning paths, thus amplifying the effectiveness of learning journeys. The objective of this study is to analyze the existing methods and to suggest the latest technologies in education, which will help the education sector to keep track of technological advancements and be in the race. 2025 IEEE.
Subject
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Artificial Intelligence; Blockchain; data privacy; Edtech; Personalized learning
Publisher
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Institute of Electrical and Electronics Engineers Inc.
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ISBN: 979-833158560-0;
Language
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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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Book Chapter
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Faculty Publications- Book Chapter
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A comparative study on e-waste management systems in developed and developing countries: Legislative compliances and initiatives
Description
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E-waste is an ongoing issue that still lacks a suitable solution, particularly in developing nations. The environment and human health have suffered dramatically as a result of poor recycling practices of waste of electrical and electronic equipment (WEEE), transboundary movement, improper management of e-waste, the lack of environmentally sound management (ESM) programs, and the ineffective EPR (extended producer responsibility) schemes. Although developed nations have implemented efficient legislative frameworks and regulations, emerging nations suffer due to their plans. E-waste management systems differ in developed and developing countries; thus, this study evaluates the differences between the management systems and outlines the areas where the developing nations lack effective e-waste management and the advantages developed countries enjoy. Therefore, the current study results are crucial for comprehending the severe hazard posed by improper management of e-waste and the viability of future research into creating strategies to address these problems of developing nations. 2023, IGI Global.
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Atiya S.; Josephine Chung Y.; George G.
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Sustainable Approaches and Strategies for E-Waste Management and Utilization, pp. 90-121.
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IGI Global
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2023-01-01
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<a href="https://doi.org/10.4018/978-1-6684-7573-7.ch006" target="_blank" rel="noreferrer noopener">https://doi.org/10.4018/978-1-6684-7573-7.ch006</a>
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ISBN: 978-166847575-1; 978-166847573-7
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Online
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English
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Book chapter
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Atiya S., CHRIST University (Deemed), India; Josephine Chung Y., CHRIST University (Deemed), India; George G., CHRIST University (Deemed), India
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Articles
Article
Faculty Publications -Articles
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Title
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Anti-inflammatory activity of Sabicea brevipes Wernharm (Rubiaceae)
Subject
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anti-inflammatory; carrageenan; paw edema; phytochemicals; Sabicea brevipes
Description
An account of the resource
Over the years, medicinal plants have been employed in the treatment of inflammation and related ailments. This study evaluated the anti-inflammatory potential of the aerial parts of S. brevipes. The extracts and fractions were further evaluated for anti-inflammatory activity in carrageenan-induced rat model at varying doses (200 and 400 mg/kg doses, orally) for 5 h of treatment. The result of the phytochemical screening showed the presence of alkaloids, terpenoids, glycosides, flavonoids and tannins in the aerial parts of the plant. The in vivo anti-inflammatory study exhibited inhibition of 42% and 44%, 47% and 36%, 33% and 31%, and 43% and 42% for methanol extract n-hexane fraction, ethyl acetate fraction, and methanol fraction, at 200 and 400 mg/kg doses, respectively. The positive control (diclofenac sodium) showed an inhibition value of 51% at 5 mg/kg dose. Finally, it is concluded that S. brevipes possesses anti-inflammatory potential which validates the enthnomedicinal claim of the plant. 2022. Attah EI et al. All Rights Reserved.
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Attah E.I.; Ugwuagbo S.C.; Chinnam S.; Eze F.I.; Nnadi C.O.; Agbo M.O.; Obonga W.; Rudrapal M.; Walode S.G.; Nizam A.; Sahoo R.K.; Bendale A.R.; Khairnar S.J.; Jagtap M.R.
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Pharmacia, Vol-69, No. 2, pp. 311-317.
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Pensoft Publishers
Date
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2022-01-01
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<a href="https://doi.org/10.3897/pharmacia.69.e82311" target="_blank" rel="noreferrer noopener">https://doi.org/10.3897/pharmacia.69.e82311</a>
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All Open Access; Gold Open Access; Green Open Access
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ISSN: 4280296; CODEN: FMTYA
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Online
Language
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English
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Article
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Attah E.I., 1 Department of Pharmaceutical and Medicinal Chemistry, Faculty of Pharmaceutical Sciences, University of Nigeria, Nsukka, 410001, Nigeria; Ugwuagbo S.C., 1 Department of Pharmaceutical and Medicinal Chemistry, Faculty of Pharmaceutical Sciences, University of Nigeria, Nsukka, 410001, Nigeria; Chinnam S., 2 Department of Chemistry, M. S. Ramaiah Institute of Technology, Affiliated to Visvesvaraya Technological University, Karnataka, Bengaluru, 560054, India; Eze F.I., 1 Department of Pharmaceutical and Medicinal Chemistry, Faculty of Pharmaceutical Sciences, University of Nigeria, Nsukka, 410001, Nigeria; Nnadi C.O., 1 Department of Pharmaceutical and Medicinal Chemistry, Faculty of Pharmaceutical Sciences, University of Nigeria, Nsukka, 410001, Nigeria; Agbo M.O., 1 Department of Pharmaceutical and Medicinal Chemistry, Faculty of Pharmaceutical Sciences, University of Nigeria, Nsukka, 410001, Nigeria; Obonga W., 1 Department of Pharmaceutical and Medicinal Chemistry, Faculty of Pharmaceutical Sciences, University of Nigeria, Nsukka, 410001, Nigeria; Rudrapal M., 3 Department of Pharmaceutical Chemistry, Rasiklal M. Dhariwal Institute of Pharmaceutical Education and Research, Maharashtra, Pune, 411019, India; Walode S.G., 3 Department of Pharmaceutical Chemistry, Rasiklal M. Dhariwal Institute of Pharmaceutical Education and Research, Maharashtra, Pune, 411019, India; Nizam A., 4 Department of Chemistry, CHRIST (Deemed to be University), Karnataka, Bengaluru, 560029, India; Sahoo R.K., 5 School of Pharmacy and Life Sciences, Centurion University of Technology and Management, Odisha, Bhubaneswar, 752050, India; Bendale A.R., 6 Sandip Institute of Pharmaceutical Sciences, Maharashtra, Nashik, 422213, India; Khairnar S.J., 7 MET Institute of Pharmacy, Bhujbal Knowledge City, Maharashtra, Nashik, 422003, India; Jagtap M.R., 8 JMCT Institute of Pharmacy, Maharashtra, Nashik, 422006, India
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https://archives.christuniversity.in/files/original/d05ca3533959a14f39529af09b28b87a.pdf
4f2a17fb494948545645fb513812d17e
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MPHIL
Mphil
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Title
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An exploration of the factors contributing to psychological well-being of school counsellors in Kerala
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Augustine Laly
Date
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2014
Source
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Psychology
-
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Title
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Articles
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Research article toxicological evaluation of ethanolic leaf and fruit extracts of phaseolus vulgaris l. Treated with wastewater in danio rerio hamilton (zebrafish)
Subject
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Danio rerio; Histopathology; Liver; Phaseolus vulgaris; Toxicity
Description
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Background and Objective: The cultivation of Vegetables in the world is facing a shortage of water so that the farmers are forced to use sewage wastewater for cultivation in underdeveloped countries. Therefore, the present study was an attempt to examine the toxicity level of accumulated heavy metals in the vegetables irrigated with sewage water and treated sewage water. The concentration-dependent changes in toxicity of ethanolic leaf and fruit extracts of Phaseolus vulgaris treated with wastewater in Zebrafish were analysed in this study. Materials and Methods: For the experiment, finely ground powders of leaves and fruits of Phaseolus vulgaris were extracted with ethanol. Using different concentrations of these extracts, a toxicity test was done with Danio rerio as per the OECD guidelines 203. Results: Using AAS, heavy metals like lead and manganese were found in higher concentrations in untreated wastewater than in distilled water and treated wastewater. The results indicated that ethanolic leaf extracts of treated wastewater irrigated Phaseolus vulgaris does not induce toxicity when used at a dose below 400 mg LG1. Leaf extracts of Phaseolus vulgaris grown with wastewater showed the lowest and highest mortality at 100 and 400 mg LG1, respectively, when compared to other plant extracts. Histopathological variations were also observed in the fishes exposed to the lethal concentrations of plant extracts. Statistical evaluation of the correlation between concentration and mortality percentage was carried out using SPSS. Conclusion: The present study revealed that the leaf and fruit extracts of Phaseolus vulgaris grown with untreated wastewater were more toxic to Danio rerio than other extracts used in the experiment. 2022 Aleesa Augustine and Jobi Xavier.
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Augustine A.; Xavier J.
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Asian Journal of Plant Sciences, Vol-21, No. 1, pp. 24-31.
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Asian Network for Scientific Information
Date
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2022-01-01
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<a href="https://doi.org/10.3923/ajps.2022.24.31" target="_blank" rel="noreferrer noopener">https://doi.org/10.3923/ajps.2022.24.31</a>
<br /><br /><a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85119667063&doi=10.3923%2Fajps.2022.24.31&partnerID=40&md5=896076335e1f73a9f0e8deb1d4ebbc02" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85119667063&doi=10.3923%2fajps.2022.24.31&partnerID=40&md5=896076335e1f73a9f0e8deb1d4ebbc02</a>
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All Open Access; Gold Open Access
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ISSN: 16823974
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Online
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English
Type
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Article
Coverage
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Augustine A., Christ University, India; Xavier J., Christ University, India
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Articles
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Public debt - economic growth nexus in emerging and developing economies: Exploring nonlinearity
Subject
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Economic growth; Nonlinearity; Public debt; Threshold
Description
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This paper explores the nonlinear dynamics between public debt and economic growth by estimating the threshold level of debt for thirty-nine emerging and developing economies. The study found a considerable variation amongst the debt thresholds in these countries, ranging between 24 and 132 per cent. We observed the evidence for an inverted U-shape relationship either partially or fully only in six countries. On the contrary, our study found that expanding debt even beyond the threshold promotes economic growth in some countries, while debt hinders growth even at low debt levels in a few countries. 2022 Elsevier Inc.
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Augustine B.; Rafi O.P.C.M.
Source
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Finance Research Letters, Vol-52
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.frl.2022.103540" target="_blank" rel="noreferrer noopener">https://doi.org/10.1016/j.frl.2022.103540</a>
<br /><br /><a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85143505955&doi=10.1016%2Fj.frl.2022.103540&partnerID=40&md5=8db820476ee116fcd7f65e173f60b5e2" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85143505955&doi=10.1016%2fj.frl.2022.103540&partnerID=40&md5=8db820476ee116fcd7f65e173f60b5e2</a>
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ISSN: 15446123
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Online
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English
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Article
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Augustine B., Department of Economics, CHRIST (Deemed to be University), Hosur Road, Bengaluru, 560029, India; Rafi O.P.C.M., Dr. B.R. Ambedkar School of Economics University, Bengaluru, Jnana Bharathi Main Road, Nagarbhavi Post, Bengaluru, 560072, India
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https://archives.christuniversity.in/files/original/e4148fa0b3b33926d8df7af1c1612ef3.jpg
75c911ec6b7c23030c943a1b610c90b0
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Articles
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Faculty Publications -Articles
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Title
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Leveraging Big Data Analytics and Hadoop in Developing India's Healthcare Services
Subject
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Computer Science
Description
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International Journal of Computer Applications, Vol-89 (16), pp. 44-50. ISSN-0975-8887
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Augustine D. Peter
Publisher
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International Journal of Computer Applications
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English
-
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Book Chapter
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Title
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Insights into the performance of farmer producer companies: An exploratory analysis in kerala, india
Subject
The topic of the resource
Agricultural cooperatives; Farmer producer companies (FPCs); FPC in Kerala; Smallholder farmers; Sustainable agriculture
Description
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India faces challenges in farmers well-being due to small land holdings and the absence of an organized agricultural market system, prompting the introduc-tion of initiatives such as the promotion of Farmer Producer Organizations (FPOs) to fortify the agricultural market. However, ambiguity remains over the functioning of such initiatives. This study aims to tackle the aforementioned issue by collecting and analyzing data on the operations of 400 registered Farmer Producer Companies (FPCs) in the state of Kerala, India. The analysis focuses on key indicators such as the age of the FPC, paid-up capital, and activity status (whether active or struck-off). A primary survey has also been conducted, both telephonic and face-to-face inter-views, based on convenience, using a semi-structured questionnaire. Both farmers and representatives from FPCs are interviewed. The issues discussed are marketing assistance, input sales, type of services offered, managerial capacities, etc. The study finds that not all registered FPCs effectively improve the welfare of farmers. The most common service FPCs provide is marketing, which helps increase product sales through collective bargaining power and access to higher-paying markets. FPCs that engage in contract farming, sell through supermarkets, or explore inter-state or inter-national markets are more successful in increasing farmers revenues than those that only use traditional market chains. However, it is important to note that FPCs face several challenges, including a lack of infrastructure and support, limited access to credit, and a lack of skilled and trained staff. These essential factors must be addressed for FPCs to achieve their full potential. The Author(s).
Creator
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Augustine D.; Roy N.S.
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Studies in Systems, Decision and Control, Vol-525, pp. 749-766.
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Springer Science and Business Media Deutschland GmbH
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2024-01-01
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<a href="https://doi.org/10.1007/978-3-031-54383-8_58" target="_blank" rel="noreferrer noopener">https://doi.org/10.1007/978-3-031-54383-8_58</a>
<br /><br /><a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85200564278&doi=10.1007%2F978-3-031-54383-8_58&partnerID=40&md5=8f352e863067f439ce8aeaa27b42a1da" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85200564278&doi=10.1007%2f978-3-031-54383-8_58&partnerID=40&md5=8f352e863067f439ce8aeaa27b42a1da</a>
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Restricted Access
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ISSN: 21984182
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Online
Language
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English
Type
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Book chapter
Coverage
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Augustine D., Department of Economics, Christ (Deemed to Be University), Bangalore, India; Roy N.S., Department of Economics, Christ (Deemed to Be University), Bangalore, India
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Book Chapter
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Quantifying the Impact: Assessing FPO Penetration in Indian Agriculture Through the Lens of the 2019 Situation Assessment Survey
Subject
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Farmers producer organisation; FPO penetration; Input supply; Marginal farmers
Description
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In India, Farmer Producer Organisations (FPOs) are garnering significant attention as a potential solution to address the challenges faced by small-scale farmers. This research paper focuses on the engagement of farmers with more than 33,000 registered FPOs in India. It analyzes data from the Situation Assessment of Agricultural Households 2019 and the FPO dataset by the Tata Cornell Institute. The paper sheds light on how farmers are involved with FPOs to meet their agricultural needs, such as acquiring inputs, managing the sale of farm produce, and receiving technical support for farming activities. Despite the anticipated benefits for farmers through their engagement with FPOs, the actual achievements have not met initial expectations. The impact of FPOs on farmers remains minimal, with fewer than 1% of farmers in India utilizing FPO services. This emphasizes the crucial need for reassessment and targeted interventions to enhance the effectiveness of these organizations. The Author(s), under exclusive license to Springer Nature Switzerland AG 2024.
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Augustine D.; Singha Roy N.
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Studies in Systems, Decision and Control, Vol-535, pp. 587-597.
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Springer Science and Business Media Deutschland GmbH
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2024-01-01
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<a href="https://doi.org/10.1007/978-3-031-63569-4_51" target="_blank" rel="noreferrer noopener">https://doi.org/10.1007/978-3-031-63569-4_51</a>
<br /><br /><a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85202587428&doi=10.1007%2F978-3-031-63569-4_51&partnerID=40&md5=afb84e14a9458646755e14f2fe5ababa" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85202587428&doi=10.1007%2f978-3-031-63569-4_51&partnerID=40&md5=afb84e14a9458646755e14f2fe5ababa</a>
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Restricted Access
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ISSN: 21984182
Format
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Online
Language
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English
Type
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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
Augustine D., Christ University, Bengaluru, India; Singha Roy N., Christ University, Bengaluru, India
-
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Book Chapter
Book Chapter
Faculty Publications- Book Chapter
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Title
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The industry use cases for the Digital Twin idea
Subject
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Artificial intelligence; Data analytics; Digital Twin; IIot; IoT; Smart cities; Use cases of Digital Twin; Virtual replicas
Description
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Digital Twin Technology has taken the place in top 10 strategic technology trends in 2017 termed by Gartner Inc. Digital Twin concept brings out the virtual depiction or the digital representation of the real world equipment, device or system whereas the real world and the virtual world gets the highest synchronization. The digital representation of the complete life cycle of a product from its design phase to the maintenance phase will give the prophetic analysis of the problems to the business. This greatest advantage of foreseeing problems in the development of a device will give early warnings, foil downtime, cultivate novel prospects and inventing enhanced devices or gadgets for the later use at the lesser expense by means of digital representations. Indeed, these will devise a larger influence on conveying superior consumer feeling also in the enterprise. The emerging trends such as Artificial Intelligence, Machine Learning, Deep Learning, Internet of Things and Big Data used in Industry 4.0 play a vital role in Digital Twin and they are mostly adopted in the world of manufacturing, Industrial Internet of Things, and automobile business world. The penetration, wide coverage and the advancement of the Internet of Things in real-world have elevated the power of Digital Twins more economical and reachable for the world of various businesses. 1. Manufacturing: Digital Twin has brought out the change in the existing manner of the manufacturing segment. Digital Twins have a substantial influence on the design of products and their manufacturing and maintenance. Because of its influence the manufacturing more competent and augmented while dropping throughput times. 2. Industrial IoT: Integrating digital twin with industrial firms will facilitate the activities such as monitoring, tracking and controlling industrial systems in digital means. We can potentially experience the power of digital twin since it captures environmental data such as locality, settings of the devices, financial frameworks, etc., other than the operational data, which benefits in foreseeing the forthcoming operations and incongruities. 3. Healthcare: Since the healthcare sector demands higher accuracy in diagnosis and treatment, with the important data from IoT, digital twins can play a vital role by reducing the expense for the patient, precautionary alerts to avoid health deterioration and giving tailored health support system. This will be great support especially in developing countries like India. 4. Smart cities: Digital Twin coupled with IoT data can augment the efficient planning of the smart city and execution of its building by supplementing financial progress, effectual administration of resources, lessening of environmental impression and escalate the complete worth of a resident's life. The digital twin prototypical can aid city organizers and legislators in the smart city planning by retrieving the visions from numerous sensor networks and smart systems. The information received from the digital twins supports them in reaching well-versed choices concerning the future as well. 5. Automobile: Automobile industry can get voluminous benefits out of Digital Twins for producing the simulated framework of a coupled vehicle. It retrieves the behavioral and functional information of the vehicle and services in examining the inclusive performance efficiency of the vehicle as well as the features connected along with it. Digital Twin also supports in supplying a justly enhance support and service for the consumers. 6. Retail: Alluring client satisfaction is a fundamental factor in the merchandising world. Digital twin employment can play a key role in supplementing the retail customer experience by forming virtual twins for customers and modeling fashions for them on it. Digital Twins also supports enhanced planning of stock maintenance, safekeeping procedures, and human resource administration in an augmented means. 2020 Elsevier Inc.
Creator
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Augustine P.
Source
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Advances in Computers, Vol-117, No. 1, pp. 79-105.
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Academic Press Inc.
Date
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2020-01-01
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<a href="https://doi.org/10.1016/bs.adcom.2019.10.008" target="_blank" rel="noreferrer noopener">https://doi.org/10.1016/bs.adcom.2019.10.008</a>
<br /><br /><a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85076597178&doi=10.1016%2Fbs.adcom.2019.10.008&partnerID=40&md5=8d05b0d79aeba58d05dd99f07cab2e4c" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85076597178&doi=10.1016%2fbs.adcom.2019.10.008&partnerID=40&md5=8d05b0d79aeba58d05dd99f07cab2e4c</a>
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ISSN: 652458; ISBN: 978-012818756-2
Format
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Online
Language
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English
Type
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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
Augustine P., Department of Computer Science, CHRIST (Deemed to be University), Bangalore, India
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Conference Papers
Conference Paper
Faculty Publications- Conference Papers
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Road Accident Prediction using Machine Learning Approaches
Subject
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Accident Prediction; Machine Learning; Traffic; Vehicle Safety
Description
An account of the resource
Road accidents create a significant number of serious injuries reported per year and are a chief concern of the world, mostly in underdeveloped countries. Many people have lost their near and dear ones due to these road accidents. Hence a system that can potentially save lives is required. The system detects essential contributing elements for an accident or creates a link among accidents and various factors for the occurrence of accidents. This research proposes an Accident Prediction system that can help to analyze the potential safety issues and predict whether an accident will occur or not. A comparative study of various Machine Learning Algorithms was conducted to check which model can help predict accidents more accurately. The dataset used for this paper is the government record accidents that occurred in a district in India. Logistic Regression, Random Forest, Decision Tree, K-Nearest Neighbor, XGBoost, and Support Vector Machine are among the Machine Learning models used in this paper to predict accidents. The Random Forest algorithm gave the highest accuracy of 80.78% when the accuracies of the Machine Learning models were compared. 2022 IEEE.
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Augustine T.; Shukla S.
Source
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2022 2nd International Conference on Advance Computing and Innovative Technologies in Engineering, ICACITE 2022, pp. 808-811.
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Institute of Electrical and Electronics Engineers Inc.
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2022-01-01
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<a href="https://doi.org/10.1109/ICACITE53722.2022.9823499" target="_blank" rel="noreferrer noopener">https://doi.org/10.1109/ICACITE53722.2022.9823499</a>
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ISBN: 978-166543789-9
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
Augustine T., Christ University, Department of Data Science, Banglore, India; Shukla S., Christ University, Department of Data Science, Banglore, India
-
https://archives.christuniversity.in/files/original/a041e5ea4332d2f525d1f5acc44315a7.jpg
aef8f902d41826f50c5dcaac97c0760b
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Articles
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Title
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Performance evaluation of parallel genetic algorithm for brain MRI segmentation in hadoop and spark /
Subject
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Brain MRI Segmentation
Description
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Indian Journal of Science and Technology, Vol.8, Issue 48, pp.1-7, ISSN: 0974-6846 (Print), 0974-5645 (Online).
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Augustine, D. Peter., Raj, Pethuru.
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<a href="https://indjst.org/articles/performance-evaluation-of-parallel-genetic-algorithm-for-brain-mri-segmentation-in-hadoop-and-spark" target="_blank" title="Performance evaluation of parallel genetic algorithm for brain MRI segmentation in hadoop and spark" rel="noreferrer noopener">https://indjst.org/articles/performance-evaluation-of-parallel-genetic-algorithm-for-brain-mri-segmentation-in-hadoop-and-spark</a>
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Indian Society for Educations and Environment
Date
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2016-02-13
Language
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English
Type
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Journal Article
-
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Title
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Faculty Publications
Conference Paper
Faculty Publications- Conference Papers
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Augustine, Praveen; John, Nimitha
Title
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Autoregressive Model with Students t-Errors
Date
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01-01-2026
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Lecture Notes in Networks and Systems;Volume;1501 LNNS;pp.351-364
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<a href="https://doi.org/10.1007/978-981-96-8350-5_25" target="_blank" rel="noreferrer noopener">https://doi.org/10.1007/978-981-96-8350-5_25</a> <br /><br /><a href="https://www.scopus.com/pages/publications/105028365077?origin=resultslist" target="_blank" rel="noreferrer noopener">https://www.scopus.com/pages/publications/105028365077?origin=resultslist</a>
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Augustine P., Department of Data Science and Statistics, CHRIST (Deemed to be University), Bengaluru, India; John N., Department of Data Science and Statistics, CHRIST (Deemed to be University), Bengaluru, India
Description
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This paper examines a first-order autoregressive model that incorporates students t-distributed errors. The estimation procedure is developed using the maximum likelihood method, with the solutions demonstrated using a simulation approach. As the estimating equations were not in a closed-form expression, we obtained the parameter estimates using the NewtonRaphson method. For a finite sample size, a parametric bootstrap procedure for the unit root test has been illustrated. To demonstrate the applications of the proposed model, a time series of quarterly GDP percentage changes are analyzed. The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2026.
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Autoregressive model; Bootstrapping; Likelihood ratio test; Maximum likelihood; Students t-distribution
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Springer Science and Business Media Deutschland GmbH
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ISSN: 23673370; ISBN: 978-981968349-9;
Language
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English
Type
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Conference paper
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Restricted Access; Hardcopy may be available in the library
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Faculty Publications- Conference Papers
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Augustine, Praveen; John, Nimitha
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Detection andDealing ofMulticollinearity Using aNew RidgeEstimator
Date
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01-01-2026
Source
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Lecture Notes in Networks and Systems;Volume;1501 LNNS;pp.365-378
Identifier
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<a href="https://doi.org/10.1007/978-981-96-8350-5_26" target="_blank" rel="noreferrer noopener">https://doi.org/10.1007/978-981-96-8350-5_26</a> <br /><br /><a href="https://www.scopus.com/pages/publications/105028352404?origin=resultslist" target="_blank" rel="noreferrer noopener">https://www.scopus.com/pages/publications/105028352404?origin=resultslist</a>
Coverage
The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant
Augustine P., Department of Data Science and Statistics, CHRIST (Deemed to Be University), Bengaluru, India; John N., Department of Data Science and Statistics, CHRIST (Deemed to Be University), Bengaluru, India
Description
An account of the resource
The Ordinary Least Square (OLS) method is a widely used technique for estimating regression coefficients that describe the relationship between the independent variables and the dependent variable. The regression estimates obtained using this approach give a poor result in the presence of multicollinearity. Ridge regression is employed to address this problem. A ridge estimator, also called a biasing constant, plays a notable role in the parameter estimation of ridge regression. In this paper, we introduced a new ridge estimator and studied its properties. A comparative study of the proposed estimator with some of the existing ridge estimators under extreme multicollinearity has been illustrated by using a simulation technique. The estimator developed in this paper seems to perform better than all the other estimators because of the smaller ratio of average mean square error. The performance of the proposed estimator is analysed and verified using real-life data. The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2026.
Subject
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Generalised ridge regression; Multicollinearity; Ridge estimator; Ridge regression
Publisher
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Springer Science and Business Media Deutschland GmbH
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A related resource
ISSN: 23673370; ISBN: 978-981968349-9;
Language
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English
Type
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Conference paper
Rights
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Restricted Access; Hardcopy may be available in the library