325 20 16481 Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Articles Article Faculty Publications -Articles Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Enhancing Stock Market Trend Prediction Using Explainable Artificial Intelligence and Multi-source Data Subject The topic of the resource Explainable artificial intelligence; Machine learning; Multi-source data; Sentiment analysis; Stock market prediction; Technical indicators Description An account of the resource Determining the trend of the stock market is a complex task influenced by numerous factors like fundamental variables, company performance, investor behavior, sentiments expressed in social media, etc. Although machine learning models support predicting stock market trends using historical or social media data, reliance on a single data source poses a serious challenge. This study introduces a novel Explainable artificial intelligence (XAI) to address a binary classification problem wherein the objective is to predict the trend of the stock market, utilizing an integration of multiple data sources. The dataset includes trading data, news and Twitter sentiment, and technical indicators. Sentiment analysis and the Natural Language Toolkit are utilized to extract the qualitative information from social media data. Technical indicators, or quantitative characteristics, are therefore generated from trade data. The technical indicators are fused with the stock sentiment features to predict the future stock market trend. Finally, a machine learning model is employed for upward or downward stock trend predictions. The proposed model in this study incorporates XAI to interpret the results. The presented model is evaluated using five bank stocks, and the results are promising, outperforming other models by reporting a mean accuracy of 90.14%. Additionally, the proposed model is explainable, exposing the rationale behind the classifier and furnishing a complete set of interpretations for the attained outcomes. 2024, American Scientific Publishing Group (ASPG). All rights reserved. Creator An entity primarily responsible for making the resource Ranjith J.; Chandar S.K. Source A related resource from which the described resource is derived Fusion: Practice and Applications, Vol-16, No. 2, pp. 178-189. Publisher An entity responsible for making the resource available American Scientific Publishing Group (ASPG) Date A point or period of time associated with an event in the lifecycle of the resource 2024-01-01 Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.54216/FPA.160211" target="_blank" rel="noreferrer noopener">https://doi.org/10.54216/FPA.160211</a> <a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85201629045&doi=10.54216%2FFPA.160211&partnerID=40&md5=0c98cd96375a5917d38668bb4cb6923c" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85201629045&doi=10.54216%2fFPA.160211&partnerID=40&md5=0c98cd96375a5917d38668bb4cb6923c</a> Rights Information about rights held in and over the resource Restricted Access Relation A related resource ISSN: 27700070 Format The file format, physical medium, or dimensions of the resource Online Language A language of the resource English Type The nature or genre of the resource 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 Ranjith J., School of Business and Management, CHRIST (Deemed to be University), Karnataka, Bengaluru, India; Chandar S.K., School of Business and Management, CHRIST (Deemed to be University), Karnataka, Bengaluru, India 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 Faculty Publications 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/. Creator An entity primarily responsible for making the resource Prakasan, Adwaidh; Harimoorthy, Karthikeyan; Ganesh Kumar, R. Title A name given to the resource Enhancing Stock Price Prediction: A Multi-Model Framework Integrating Technical Indicators and Sentiment Analysis Date A point or period of time associated with an event in the lifecycle of the resource 01-01-2026 Source A related resource from which the described resource is derived International Conference on Innovative Practices in Technology and Management, ICIPTM 2026; Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.1109/ICIPTM69057.2026.11465544" target="_blank" rel="noreferrer noopener">https://doi.org/10.1109/ICIPTM69057.2026.11465544</a> <a href="https://www.scopus.com/pages/publications/105037857949?origin=resultslist" target="_blank" rel="noreferrer noopener">https://www.scopus.com/pages/publications/105037857949?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 Prakasan A., Christ University, Department of Computer Science and Engineering, Bangalore, India; Harimoorthy K., Christ University, Department of Computer Science and Engineering, Bangalore, India; Ganesh Kumar R., Christ University, Department of Computer Science and Engineering, Bangalore, India Description An account of the resource This paper proposes a multi-model strategy that would improve the predictive power of stock prices by combining time-series analytics with external market indicators. The system allows five different base prediction methods; Long Short-Term Memory (LSTM), Enhanced Bidirectional LSTM (XLSTM), Support Vector Machine (SVM) which may use radial basis function (rbf), linear or polynomial (poly) kernels, Autoregressive integrated moving average (ARIMA), and Seasonal Autoregressive integrated moving average (SARIMA). A stacking procedure which uses linear regression as a meta-model together with a voting ensemble method is then employed to link these base models. The feature engineering is thorough, as it provides for general price and volume data, a battery of technical indicators (SMA10, SMA20, EMA 12, EMA 26, MACD elements, and RSI14) and a general sentiment indicator (summarised financial news). Sentiment analysis is performed by a pipeline that is trained using RoBERTa and yields discrete numerical values (0 negative, 1 neutral, 2 positive). The model's capability is very rigorously gauged by the conventional metrics Root Mean Squared Error (RMSE), Mean Absolute Error (MAE), Mean Absolute Percentage Error (MAPE), and Directional Accuracy (DA). The real-world results demonstrate that the ensemble method is very efficient where the stacking arrangement leads to the lowest total MAPE of 0.6027 % MSFT and the highest directional Accuracy of 75.86 % GOOGL, thus, providing a strong evidence for the effectiveness of the thorough integration of heterogeneous machine-learning, statistical, and sentiment- analysis methods to produce the most accurate financial forecasts. 2026 IEEE. Subject The topic of the resource ARIMA; Ensemble Learning; Financial Forecasting; LSTM; Sentiment Analysis; Stock Price Prediction; Support Vector Machine (SVM); Technical Indicators; Time Series Analysis; XLSTM Publisher An entity responsible for making the resource available Institute of Electrical and Electronics Engineers Inc. Relation A related resource ISBN: 979-831954328-8; 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 Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Conference Papers Conference Paper Faculty Publications- Conference Papers Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Enhancing Stroke Prediction: Leveraging Ensemble Learning for Improved Healthcare Subject The topic of the resource Bagging; Ensemble Learning; Machine Learning; Stacking; Stroke Prediction Description An account of the resource Stroke, a potentially deadly medical disorder, requires excellent prediction and prevention measures to minimize its impact on individuals and healthcare systems. In this study, ensemble learning techniques are employed to enhance the accuracy of stroke prediction. The method combines four different machine learning algorithms, Adaboost, CatBoost, XGBoost, and LightGBM, to produce a strong predictive model. The data was composed of a rich set of demographic, medical, and lifestyle information. The data was preprocessed and features were engineered to maximize predictive performance. Results showed that the stacked ensemble model, which is composed of Adaboost, CatBoost, XGB, LightGBM, and Logistic Regression, meta-model, outperformed other models. The model has the potential to be used as a decision support tool in an early stroke risk assessment system, enhancing clinician decision-making and improving healthcare outcomes. 2024 IEEE. Creator An entity primarily responsible for making the resource James E.; Jacob L.; Reddy K.B. Source A related resource from which the described resource is derived 2024 15th International Conference on Computing Communication and Networking Technologies, ICCCNT 2024 Publisher An entity responsible for making the resource available Institute of Electrical and Electronics Engineers Inc. Date A point or period of time associated with an event in the lifecycle of the resource 2024-01-01 Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.1109/ICCCNT61001.2024.10725209" target="_blank" rel="noreferrer noopener">https://doi.org/10.1109/ICCCNT61001.2024.10725209</a> <a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85211187039&doi=10.1109%2FICCCNT61001.2024.10725209&partnerID=40&md5=9ad2b2a9cbfcab860755f54f62522c14" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85211187039&doi=10.1109%2fICCCNT61001.2024.10725209&partnerID=40&md5=9ad2b2a9cbfcab860755f54f62522c14</a> Rights Information about rights held in and over the resource Restricted Access Relation A related resource ISBN: 979-835037024-9 Format The file format, physical medium, or dimensions of the resource Online Language A language of the resource English Type The nature or genre of the resource Conference paper Coverage The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant James E., CHRIST(Deemed to be University), Data Science, Lavasa, India; Jacob L., CHRIST(Deemed to be University), Data Science, Lavasa, India; Reddy K.B., CHRIST(Deemed to be University), Data Science, Lavasa, India 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 Faculty Publications Book Chapter Faculty Publications- Book Chapter Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Creator An entity primarily responsible for making the resource Joseph, Twinkle Sara; Paul, Ajith; Sharatchandran, K.; Kunnumpurath, Biju; Menon, Vishnu Achutha Title A name given to the resource Enhancing student engagement and learning experience through augmented reality: A study on the integration of assemblr studio into hybrid classrooms Date A point or period of time associated with an event in the lifecycle of the resource 01-01-2025 Source A related resource from which the described resource is derived Revolutionizing Pedagogy Through Smart Education;pp.321-334 Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.4018/979-8-3693-7793-2.ch015" target="_blank" rel="noreferrer noopener">https://doi.org/10.4018/979-8-3693-7793-2.ch015</a> <a href="https://www.scopus.com/pages/publications/85218067837?origin=resultslist" target="_blank" rel="noreferrer noopener">https://www.scopus.com/pages/publications/85218067837?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 Joseph T.S., Christ University, India; Paul A., Christ University, India; Sharatchandran K., Christ University, India; Kunnumpurath B., Christ University, India; Menon V.A., Institute for Educational and Developmental Studies, India Description An account of the resource The impact of technology, initiated during the fourth industrial revolution with concepts like AI, AR, and VR, has significantly influenced education. Integrating Augmented Reality (AR) in education enhances student engagement and learning. AR enables students to visualize complex theories through real actions, making learning interactive and fun. This paper explores student experiences with Assemblr Studio, a 3D AR visualization tool, in hybrid learning at Christ University, Bangalore. The study examines Assemblr Studio's educational impact, user experience, and classroom effectiveness using questionnaires and focus group discussions. Results show that AR via Assemblr Studio fosters innovative and effective learning, positively altering traditional educational strategies. 2025, IGI Global Scientific Publishing. All rights reserved. Publisher An entity responsible for making the resource available IGI Global Relation A related resource ISBN: 979-836937795-6; 979-836937793-2; Language A language of the resource English Type The nature or genre of the resource Book chapter Rights Information about rights held in and over the resource Restricted Access; Hardcopy may be available in the library 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 Faculty Publications Book Chapter Faculty Publications- Book Chapter Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Creator An entity primarily responsible for making the resource Roy, Ankita Priti; Anand, Kerena; Elangovan, N.; Halaswamy, D. Title A name given to the resource Enhancing student engagement in blended learning through personalization strategies on EdTech platforms: An MCDM-based approach Date A point or period of time associated with an event in the lifecycle of the resource 01-01-2025 Source A related resource from which the described resource is derived Multiple-Criteria Decision-Making (MCDM) Techniques and Statistics in Marketing;pp.147-175 Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.4018/979-8-3693-9122-8.ch007" target="_blank" rel="noreferrer noopener">https://doi.org/10.4018/979-8-3693-9122-8.ch007</a> <a href="https://www.scopus.com/pages/publications/105002930898?origin=resultslist" target="_blank" rel="noreferrer noopener">https://www.scopus.com/pages/publications/105002930898?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 Roy A.P., School of Business and Management, Christ University, Bengaluru, India; Anand K., School of Business and Management, Christ University, Bengaluru, India; Elangovan N., School of Business and Management, Christ University, Bengaluru, India; Halaswamy D., School of Business and Management, Christ University, Bengaluru, India Description An account of the resource The rapid growth of educational technology highlights the essential need for personalized learning in blended environments. This study uses Multi-Criteria Decision Making (MCDM) methodologies, including the Analytic Hierarchy Process (AHP), Fuzzy AHP, and Analytic Network Process (ANP), to evaluate and prioritize personalization strategies in EdTech platforms. The research identifies data-driven adaptive learning as the most critical strategy (36.46%), followed by AI-powered content recommendations (15.46%) and personalized learning paths (15.11%). It reveals that personalization strategies are interconnected, creating dynamic feedback loops that reinforce one another, enabling continuous learning optimization. The study provides a holistic framework for educational technologists, policymakers, and designers. This approach bridges technological innovation with pedagogy, emphasizing adaptive, datainformed systems that respond dynamically to learner needs, ensuring the balance between innovation and educational quality. 2025, IGI Global Scientific Publishing. Publisher An entity responsible for making the resource available IGI Global Relation A related resource ISBN: 979-836939124-2; 979-836939122-8; Language A language of the resource English Type The nature or genre of the resource Book chapter Rights Information about rights held in and over the resource Restricted Access; Hardcopy may be available in the library Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Articles Article Faculty Publications -Articles Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Enhancing Sustainable Urban Energy Management through Short-Term Wind Power Forecasting Using LSTM Neural Network Subject The topic of the resource LSTM; short-term wind power forecasting; urban city energy management systems; wind energy forecasting Description An account of the resource Integrating wind energy forecasting into urban city energy management systems offers significant potential for optimizing energy usage, reducing the carbon footprint, and improving overall energy efficiency. This article focuses on developing a wind power forecasting model using cutting-edge technologies to enhance urban city energy management systems. To effectively manage wind energy availability, a strategy is proposed to curtail energy consumption during periods of low wind energy availability and boost consumption during periods of high wind energy availability. For this purpose, an LSTM-based model is employed to forecast short-term wind power, leveraging a publicly available dataset. The LSTM model is trained with 27,310 instances and 10 wind energy system attributes, which were selected using the Pearson correlation feature selection method to identify crucial features. The evaluation of the LSTM-based forecasting model yields an impressive R2 score of 0.9107. The models performance metrics attest to its high accuracy, explaining a substantial proportion of the variance in the test data. This study not only contributes to advancing wind power forecasting, but also holds promise for sustainable urban energy management, enabling cities to make informed decisions in optimizing energy consumption and promoting a greener, more resilient future. 2023 by the authors. Creator An entity primarily responsible for making the resource Kanagarathinam K.; Aruna S.K.; Ravivarman S.; Safran M.; Alfarhood S.; Alrajhi W. Source A related resource from which the described resource is derived Sustainability (Switzerland), Vol-15, No. 18 Publisher An entity responsible for making the resource available Multidisciplinary Digital Publishing Institute (MDPI) Date A point or period of time associated with an event in the lifecycle of the resource 2023-01-01 Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.3390/su151813424" target="_blank" rel="noreferrer noopener">https://doi.org/10.3390/su151813424</a> <a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85172864555&doi=10.3390%2Fsu151813424&partnerID=40&md5=c9615f35f0b9e0b7ac70a0f67273dba5" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85172864555&doi=10.3390%2fsu151813424&partnerID=40&md5=c9615f35f0b9e0b7ac70a0f67273dba5</a> Rights Information about rights held in and over the resource All Open Access; Gold Open Access Relation A related resource ISSN: 20711050 Format The file format, physical medium, or dimensions of the resource Online Language A language of the resource English Type The nature or genre of the resource 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 Kanagarathinam K., Department of Electrical and Electronics Engineering, GMR Institute of Technology, Rajam, 532127, India; Aruna S.K., Department of Computer Science and Engineering, School of Engineering and Technology, CHRIST (Deemed to be University), Bangalore, 560029, India; Ravivarman S., Department of Electrical and Electronics Engineering, Vardhaman College of Engineering, Shamshabad, 501218, India; Safran M., Department of Computer Science, College of Computer and Information Sciences, King Saud University, P.O. Box 51178, Riyadh, 11543, Saudi Arabia; Alfarhood S., Department of Computer Science, College of Computer and Information Sciences, King Saud University, P.O. Box 51178, Riyadh, 11543, Saudi Arabia; Alrajhi W., Department of Computer Science, College of Computer and Information Sciences, King Saud University, P.O. Box 51178, Riyadh, 11543, Saudi Arabia 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 Faculty Publications Book Chapter Faculty Publications- Book Chapter Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Creator An entity primarily responsible for making the resource Shilpa, Das; Padmakumari, P. Title A name given to the resource Enhancing Teacher-Student Engagement: The Role of Intellectual Humility Date A point or period of time associated with an event in the lifecycle of the resource 01-01-2025 Source A related resource from which the described resource is derived Developing Student Engagement Opportunities in Higher Education;pp.231-253 Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.4018/979-8-3373-0644-5.ch008" target="_blank" rel="noreferrer noopener">https://doi.org/10.4018/979-8-3373-0644-5.ch008</a> <a href="https://www.scopus.com/pages/publications/105016031687?origin=resultslist" target="_blank" rel="noreferrer noopener">https://www.scopus.com/pages/publications/105016031687?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 Shilpa D., Christ University, India; Padmakumari P., Christ University, India Description An account of the resource The book chapter explores the significant role of intellectual humility in cultivating strong teacher-student engagement within the landscape of education. It proposes that teachers modelling intellectual humility by admitting their mistakes and uncertainties signal students to take intellectual risks by asking questions or expressing their perspectives. Furthermore, the chapter also highlights that intellectually humble students are more open towards diverse viewpoints, are eager to learn from new information and expand their cognitive capacity, which are pivotal for active participation. Lastly, the chapter suggests various strategies for fostering intellectual humility in both teachers and students as well as for enhancing the advancements in the educational environments. 2026 by IGI Global Scientific Publishing. All rights reserved. Publisher An entity responsible for making the resource available IGI Global Relation A related resource ISBN: 979-833730646-9; 979-833730644-5; Language A language of the resource English Type The nature or genre of the resource Book chapter Rights Information about rights held in and over the resource Restricted Access; Hardcopy may be available in the library Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Articles Article Faculty Publications -Articles Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Enhancing the biodegradability and environmental impact of microplastics utilizing Eisenia fetida earthworms with treated low-density polyethylene for sustainable plastic management Subject The topic of the resource Eisenia fetida; Low-density polyethylene; Microplastics; Thermo-oxidative reaction Description An account of the resource Low-density polyethylene (LDPE) is widely used in food packaging and agricultural mulching, but its disposal generates macro, meso and microplastics that infiltrate the food chain and carry harmful substances. The present study aimed to improve remediation strategies for soils contaminated with LDPE and enhance the survivability of Eisenia fetida. The study dissolved LDPE in trichloroethylene and treated it with starch, hydrogen peroxide, nitric acid and acetic acid, initiating thermo-oxidative reactions. The treatment decreased LDPE's crystallinity index from 48.48% to 44.06% (single treatment), 44.06% to 40.02% (double treat-ment) and 40.02% to 32.98% (triple treatment), achieving a 15.5% reduction in crystallinity. LDPE microplastics with 40.02% crystallinity showed lower mortality rates in Eisenia fetida earthworms compared to those with 44.06% and 32.98% crystallinity and untreated LDPE. When introduced to E. fetida, microbiota in the earthworm casts included unidentified species from Pseu-domonas and Zoopagomycota, known polyethylene degraders. Microbial analysis of treated LDPE microplastics showed changes in gut microbiota, including potential degraders from Aeromonas and Malassezia restricta. XRD (X-ray diffraction techniques analyses) and FTIR(Fourier Transform Infrared Spectroscopy) analyses provided insights into distinct LDPE degradation patterns, identifying hydroxyl and carboxylic groups as functional groups. The study also investigated the ability of altered mi-croflora with treated microplastics to degrade LDPE, favouring decreased earthworm mortality rates. The crystallinity index of treated polyethylene further reduced from 40.02% to 23.58% after 21 days of exposure to E. fetida. This research advances the understanding of oxidised plastics' ecological impacts and will help to develop environmentally sustainable and biodegradable LDPE. Author (s). Creator An entity primarily responsible for making the resource Palanna A.P.; Sayantan D. Source A related resource from which the described resource is derived Journal of Applied and Natural Science, Vol-16, No. 3, pp. 1202-1212. Publisher An entity responsible for making the resource available Applied and Natural Science Foundation Date A point or period of time associated with an event in the lifecycle of the resource 2024-01-01 Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.31018/jans.v16i3.5771" target="_blank" rel="noreferrer noopener">https://doi.org/10.31018/jans.v16i3.5771</a> <a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85213849200&doi=10.31018%2Fjans.v16i3.5771&partnerID=40&md5=384da63116fb3ab1b0cd2d56ed44099a" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85213849200&doi=10.31018%2fjans.v16i3.5771&partnerID=40&md5=384da63116fb3ab1b0cd2d56ed44099a</a> Rights Information about rights held in and over the resource Restricted Access Relation A related resource ISSN: 9749411 Format The file format, physical medium, or dimensions of the resource Online Language A language of the resource English Type The nature or genre of the resource 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 Palanna A.P., Department of Life Sciences, Christ University, Karnataka, Bengaluru, 560029, India; Sayantan D., Department of Life Sciences, Christ University, Karnataka, Bengaluru, 560029, India Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Conference Papers Conference Paper Faculty Publications- Conference Papers Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Enhancing the confidentiality of text embedding using image steganography in spatial domain Subject The topic of the resource Different color components; Least significant bit (LSB); One time pad (OTP); Stego-image Description An account of the resource Rapid growth in technological development, the use of the internet has grown many folds. Along with it, the sharing of privacy information in networks creates ownership issues. In order to create a high level of security for sharing private information, the concept of steganography is introduced along with encryption based invisible watermarking techniques. The proposed system hides the encrypted private messages by using onetime pad which follows the concept LSB algorithm in spatial domain. The system combines steganography and encryption for enhancing the confidentiality of the intended messages. At first, the private information of the user is encrypted by using the onetime pad algorithm. Then the encrypted text is hidden the Least Significant Bit (LSB) of the different components of the color image in such a way that as to minimize the perceived loss of quality of the cover image. The beneficiary of the message is able to retrieve the hidden back and from the stego-image and extract the cipher text and find the plaintext from using the onetime pad algorithm. The proposed algorithm will be tested and analysed against three different hiding positions of color image components. 2021 American Institute of Physics Inc.. All rights reserved. Creator An entity primarily responsible for making the resource Karthikeyan N.; Kousalya K.; Krishnamoorthy N.; Jayapandian N. Source A related resource from which the described resource is derived AIP Conference Proceedings, Vol-2387 Publisher An entity responsible for making the resource available American Institute of Physics Inc. Date A point or period of time associated with an event in the lifecycle of the resource 2021-01-01 Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.1063/5.0068807" target="_blank" rel="noreferrer noopener">https://doi.org/10.1063/5.0068807</a> <a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85118829352&doi=10.1063%2F5.0068807&partnerID=40&md5=068f63d9da5bf94cc0d78b84c230c94d" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85118829352&doi=10.1063%2f5.0068807&partnerID=40&md5=068f63d9da5bf94cc0d78b84c230c94d</a> Rights Information about rights held in and over the resource All Open Access; Bronze Open Access Relation A related resource ISSN: 0094243X; ISBN: 978-073544146-0 Format The file format, physical medium, or dimensions of the resource Online Language A language of the resource English Type The nature or genre of the resource Conference paper Coverage The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant Karthikeyan N., Department of Computer Science and Engineering, Government College of Engineering, Tamil Nadu, Sengipatti, Thanjavur, 613001, India; Kousalya K., Department of Computer Science and Engineering, Kongu Engineering College, Tamil Nadu, Perundurai, Erode, 638060, India; Krishnamoorthy N., Department of Computer Science and Engineering, Kongu Engineering College, Tamil Nadu, Perundurai, Erode, 638060, India; Jayapandian N., Department of Computer Science and Engineering, School of Engineering and Technology, CHRIST (Deemed to be University), Karnataka, Bangalore, 560029, India 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 Book Chapter Book Chapter Faculty Publications- Book Chapter Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Enhancing the digital consumer experience: The role of artificial intelligence Description An account of the resource In the era of rapid technological advancement, the integration of artificial intelligence (AI) and digital consumerism has created new trends in business. Consumers are able to communicate with brands in new ways owing to developments in digital media. AI-powered recommendation systems, chatbots and virtual assistants are the main drivers of this change. It allows businesses to offer product recommendations, customer support, and personalized content to increase user engagement and satisfaction. This chapter provides real-world examples of AI applications across industries, highlighting success stories of companies using AI to create better value and customer satisfaction. Finally, the integration of artificial intelligence and digital customer experience has the potential to transform the future of e-commerce, marketing, and customer service, opening new horizons for both businesses and consumers. 2024, IGI Global. All rights reserved. Creator An entity primarily responsible for making the resource Jaiwant S.V.; Vazirani K. Source A related resource from which the described resource is derived Enhancing and Predicting Digital Consumer Behavior with AI, pp. 173-185. Publisher An entity responsible for making the resource available IGI Global Date A point or period of time associated with an event in the lifecycle of the resource 2024-01-01 Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.4018/979-8-3693-4453-8.ch010" target="_blank" rel="noreferrer noopener">https://doi.org/10.4018/979-8-3693-4453-8.ch010</a> <a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85195767667&doi=10.4018%2F979-8-3693-4453-8.ch010&partnerID=40&md5=64bea4d689d7f97c8f468fb2cfd488d7" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85195767667&doi=10.4018%2f979-8-3693-4453-8.ch010&partnerID=40&md5=64bea4d689d7f97c8f468fb2cfd488d7</a> Rights Information about rights held in and over the resource Restricted Access Relation A related resource ISBN: 979-836934454-5; 979-836934453-8 Format The file format, physical medium, or dimensions of the resource Online Language A language of the resource English Type The nature or genre of the resource Book chapter Coverage The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant Jaiwant S.V., Christ University, India; Vazirani K., Christ University, India Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Articles Article Faculty Publications -Articles Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Enhancing the efficiency of parallel genetic algorithms for medical image processing with Hadoop / Subject The topic of the resource Computer Science Description An account of the resource International Journal of Computer Applications, Vol.108, Issue 17, pp.92-97, ISSN No: 0975-8887. Creator An entity primarily responsible for making the resource D. Peter Augustin Source A related resource from which the described resource is derived <a href="https://www.ijcaonline.org/archives/volume108/number17/19002-0483" target="_blank" title="Enhancing the efficiency of parallel genetic algorithms for medical image processing with Hadoop" rel="noreferrer noopener">https://www.ijcaonline.org/archives/volume108/number17/19002-0483</a> Publisher An entity responsible for making the resource available Foundation of Computer Science Date A point or period of time associated with an event in the lifecycle of the resource 2014-01-05 Language A language of the resource English Type The nature or genre of the resource Journal Article Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Faculty Publications 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/. Creator An entity primarily responsible for making the resource James, Nirosha; Krishna, Abhirami; Joseph, Amala Shaliya; Sreeja, P.B. Title A name given to the resource Enhancing the electrochemical performance of rGO-based ternary composite for next generation supercapacitors Date A point or period of time associated with an event in the lifecycle of the resource 01-01-2025 Source A related resource from which the described resource is derived RSC Advances;Volume;15;Issue;41;pp.34417-34433 Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.1039/d5ra05408g" target="_blank" rel="noreferrer noopener">https://doi.org/10.1039/d5ra05408g</a> <a href="https://www.scopus.com/pages/publications/105016323278?origin=resultslist" target="_blank" rel="noreferrer noopener">https://www.scopus.com/pages/publications/105016323278?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 James N., Department of Chemistry, Centre for Renewable Energy and Environmental Sustainability, CHRIST University, Bengaluru, 560029, India; Krishna A., Department of Chemistry, Centre for Renewable Energy and Environmental Sustainability, CHRIST University, Bengaluru, 560029, India; Joseph A.S., Inorganic and Bioinorganic Research Laboratory, Department of Chemistry, NIT Calicut, India; Sreeja P.B., Department of Chemistry, Centre for Renewable Energy and Environmental Sustainability, CHRIST University, Bengaluru, 560029, India Description An account of the resource This work explores the rational design and synthesis of a high-performance ternary nanocomposite rGO/CeO2/PPy, by incorporating cerium oxide and polypyrrole into the rGO matrix, through a hybrid approach of combining hydrothermal synthesis with in situ oxidative polymerization. Comprehensive structural characterization of the rGO/CeO2/PPy composite confirms the successful integration of components, revealing a hierarchically porous architecture that optimizes both charge transport and ion diffusion kinetics. The ternary composite exhibits exceptional interfacial interactions, including ?-? conjugation between rGO and PPy, coupled with electrostatic stabilization from CeO2, resulting in enhanced mechanical integrity and improved electrolyte accessibility. Electrochemical characterization reveals remarkable performance metrics, with a specific capacitance of 874 F g?1 and outstanding cyclic durability of 94% capacity retention after 5000 charge-discharge cycles at 1 A g?1. The configured rGO/CeO2/PPy//AC system exhibits exceptional energy storage performance, yielding an energy density of 39.6 Wh kg?1 while sustaining a power density of 2859 W kg?1. These outstanding characteristics underscore the material's suitability as a cutting-edge electrode for sophisticated energy storage systems, showcasing the benefits of strategic component integration in hybrid nanocomposite design. 2025 The Royal Society of Chemistry. Publisher An entity responsible for making the resource available Royal Society of Chemistry Relation A related resource ISSN: 20462069; CODEN: RSCAC Language A language of the resource English Type The nature or genre of the resource Article Rights Information about rights held in and over the resource All Open Access; Gold Open Access; Green Open Access Format The file format, physical medium, or dimensions of the resource 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 A name given to the resource Articles Article Faculty Publications -Articles Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Enhancing the energy efficiency for prolonging the network life time in multi-conditional multi-sensor based wireless sensor network Subject The topic of the resource clustering; energy efficiency; signal strength verification; Wireless sensor networks Description An account of the resource A wireless sensor network is one of the networks that is highly demanding by various real-time networking applications nowadays. A huge amount of sensor nodes is deployed in the network randomly and distributed. Most of the applications using wireless sensor network (WSN) are surveillance monitoring applications like a forest, home, healthcare, environment, and remote monitoring systems. Based on the application usage, the type of sensor, a number of sensor nodes are deployed in such a manner where the sensors can be used effectively. But the sensor nodes are restricted in the battery and sensing region. Thus, the battery of the sensor nodes is decreased based on the nodes function. The energy level of the sensor nodes highly affects the network lifetime. Improving the energy efficiency in WSN is one of the most important challenging tasks. Most of the earlier research works have proposed various methods, techniques, and routing protocols, but they are application dependent and as a common method. So, this paper is motivated to propose a Multi-Conditional Network Analysis (MCNA) framework for saving the energy level of the sensor nodes by reducing energy consumption. The MCNA framework involves two different clustering processes with cluster head selection, choosing the best nodes based on the signal strength, and the best route for data transmission. The data transmission is done by cluster based on source-destination based. The simulation results proved that the proposed MCNA framework outperforms the other existing methods. 2022 Northeastern University, China. Creator An entity primarily responsible for making the resource Kocherla R.; Chandra Sekhar M.; Vatambeti R. Source A related resource from which the described resource is derived Journal of Control and Decision, Vol-10, No. 1, pp. 72-81. Publisher An entity responsible for making the resource available Taylor and Francis Ltd. Date A point or period of time associated with an event in the lifecycle of the resource 2023-01-01 Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.1080/23307706.2022.2057362" target="_blank" rel="noreferrer noopener">https://doi.org/10.1080/23307706.2022.2057362</a> <a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85129172106&doi=10.1080%2F23307706.2022.2057362&partnerID=40&md5=d7f519f319ac4ef2a730343cec65b6c0" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85129172106&doi=10.1080%2f23307706.2022.2057362&partnerID=40&md5=d7f519f319ac4ef2a730343cec65b6c0</a> Rights Information about rights held in and over the resource Restricted Access Relation A related resource ISSN: 23307706 Format The file format, physical medium, or dimensions of the resource Online Language A language of the resource English Type The nature or genre of the resource 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 Kocherla R., Research scholar, Department of CSE, Presidency University, Bangalore, India; Chandra Sekhar M., Department of CSE, Presidency University, Bangalore, India; Vatambeti R., Department of CSE, CHRIST (Deemed to be University), Bangalore, India Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Articles Article Faculty Publications -Articles Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Enhancing the job scheduling procedure to develop an efficient cloud environment using near optimal clustering algorithm Subject The topic of the resource cloud computing; identicalness; node size; resource clustering; split up Description An account of the resource In this internet era, cloud computing and there are various problems in the cloud computing, where the consumers as well as the service providers facing in their day to day cloud activities. Job scheduling problem plays a vital role in the cloud environment. To provide an efficient job scheduling environment, it is necessary to perform efficient resource clustering. In this regard, the proposed system, concentrated on the resource clustering methodology by proposing an efficient resource clustering algorithm named identicalness split up periodic node size (ISPNS) in the cloud environment. The algorithm proposed helps in forming resource clusters with the help of cloud environment. The proposed system is compared with the existing systems to justify the performance of the proposed resource clustering algorithm and it produces near optimal solution for the resource clustering problem which helps to provide an efficient job scheduling in cloud environment. Copyright 2023 Inderscience Enterprises Ltd. Creator An entity primarily responsible for making the resource Suganya R.; Joseph N.P.; Rajadevi R.; Ramamoorthy S. Source A related resource from which the described resource is derived International Journal of Cloud Computing, Vol-12, No. 45749, pp. 134-147. Publisher An entity responsible for making the resource available Inderscience Publishers Date A point or period of time associated with an event in the lifecycle of the resource 2023-01-01 Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.1504/IJCC.2023.130894" target="_blank" rel="noreferrer noopener">https://doi.org/10.1504/IJCC.2023.130894</a> <a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85162767113&doi=10.1504%2FIJCC.2023.130894&partnerID=40&md5=8013fe384c9a86631f28f2f92f64c33f" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85162767113&doi=10.1504%2fIJCC.2023.130894&partnerID=40&md5=8013fe384c9a86631f28f2f92f64c33f</a> Rights Information about rights held in and over the resource Restricted Access Relation A related resource ISSN: 20439989 Format The file format, physical medium, or dimensions of the resource Online Language A language of the resource English Type The nature or genre of the resource 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 Suganya R., Department of Information Technology, Sri Krishna College of Technology, Tamil Nadu, India; Joseph N.P., Department of Computer Science, CHRIST (Deemed to be University), Bengaluru, India; Rajadevi R., Department of Information Technology, Kongu Engineering College, Perundurai, India; Ramamoorthy S., Department of Computer Science and Engineering, SRM Institute of Science and Technology, Kanchipuram, Tamilnadu, Kattankulathur, India 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 Faculty Publications Book Chapter Faculty Publications- Book Chapter Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Creator An entity primarily responsible for making the resource Sreelakshmi, P.; Basavaraj, Santosh; Josephine, V. L. Helen Title A name given to the resource Enhancing the Operational Efficiency of FPOs by Using Predictive Model Building in Machine Learning Through Feature Selection Method Date A point or period of time associated with an event in the lifecycle of the resource 01-01-2025 Source A related resource from which the described resource is derived Green Innovations in Computational Intelligence: Sustainable Strategies and Emerging Technologies;pp.159-187 Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.1002/9781394383658.ch8" target="_blank" rel="noreferrer noopener">https://doi.org/10.1002/9781394383658.ch8</a> <a href="https://www.scopus.com/pages/publications/105023235995?origin=resultslist" target="_blank" rel="noreferrer noopener">https://www.scopus.com/pages/publications/105023235995?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 Sreelakshmi P., School of Business and Management (SBM), Christ University, Bangalore, India; Basavaraj S., School of Business and Management (SBM), Christ University, Bangalore, India; Josephine V.L.H., School of Business and Management (SBM), Christ University, Bangalore, India Description An account of the resource This study employs a machine learningbased feature selection approach to identify key factors that significantly enhance the predictive accuracy of models assessing farmer producer organization (FPO) performance. It focused on an FPO in the Anantapur and Kadapa districts of Andhra Pradesh, India; the research investigated the operational effectiveness of small and marginal farmers who are members by the end of 2022. The study reviewed existing shortcomings and proposed necessary policy amendments to ensure the sustainability of FPOs. The study utilized a survey design method, with the exploratory questionnaire through the field study. A sample of 73 small-scale producer farmers from the region was selected for the analysis. The result indicated that a) the reason for the operational efficiency of FPOs, b) the gradient boosting regressor achieved the highest testing accuracy of 0.78 to predict the best feature for FPO performance, and c) FPO insights for policy guidelines. 2025 Scrivener Publishing LLC. Subject The topic of the resource feature selection method; FPO operational efficiency; FPO policy inputs; FPO shortcomings; predictive power Publisher An entity responsible for making the resource available wiley Relation A related resource ISBN: 978-139438365-8; 978-139438361-0; Language A language of the resource English Type The nature or genre of the resource Book chapter Rights Information about rights held in and over the resource Restricted Access; Hardcopy may be available in the library Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Articles Article Faculty Publications -Articles Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Enhancing the performance in education by implementing gamification Subject The topic of the resource E-learning; Enhanced learning; Game elements; Gamification; Gamified learning; Tool based learning Description An account of the resource The gaming industry is growing rapidly in the present generation along with the advancement of technology. Gaming has captured all the young minds with its high and realistic graphics. What makes the gaming industry so attractive is that the players have complete freedom in the game. Freedom to fail, they can try until they succeed another feature is that game is user-centric. Consequently, a lot of research is been in the field of education to increase student's engagement towards studies. The main aim of this paper is to combine these game elements with learning to see if it yields better results. A quantitative approach is used to analyze the student's performance and interest in learning. Using these game elements in education will encourage the students to learn as well as have the flexibility to complete the course at their own pace. Copyright 2019 American Scientific Publishers All rights reserved. Creator An entity primarily responsible for making the resource Ajith R.; Vinay M. Source A related resource from which the described resource is derived Journal of Computational and Theoretical Nanoscience, Vol-16, No. 45813, pp. 2609-2613. Publisher An entity responsible for making the resource available American Scientific Publishers Date A point or period of time associated with an event in the lifecycle of the resource 2019-01-01 Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.1166/jctn.2019.7938" target="_blank" rel="noreferrer noopener">https://doi.org/10.1166/jctn.2019.7938</a> <a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85068554427&doi=10.1166%2Fjctn.2019.7938&partnerID=40&md5=ac5122e3774e509e2ce7384bb30026a0" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85068554427&doi=10.1166%2fjctn.2019.7938&partnerID=40&md5=ac5122e3774e509e2ce7384bb30026a0</a> Rights Information about rights held in and over the resource Restricted Access Relation A related resource ISSN: 15461955 Format The file format, physical medium, or dimensions of the resource Online Language A language of the resource English Type The nature or genre of the resource 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 Ajith R., Department of Computer Science, CHRIST (Deemed to Be University), Karnataka, 560084, India; Vinay M., Department of Computer Science, CHRIST (Deemed to Be University), Karnataka, 560084, India Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Articles Article Faculty Publications -Articles Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Enhancing the performance of renewable biogas powered engine employing oxyhydrogen: Optimization with desirability and D-optimal design Subject The topic of the resource Biogas; D-optimal; Desirability; Optimization; Oxyhydrogen; Renewable Description An account of the resource The performance and exhaust characteristics of a dual-fuel compression ignition engine were explored, with biogas as the primary fuel, diesel as the pilot-injected fuel, and oxyhydrogen as the fortifying agent. The trials were carried out with the use of an RSM-based D-optimal design. ANOVA was used to create the relationship functions between input and output. Except for nitrogen oxide emissions, oxyhydrogen fortification increased biogas-diesel engine combustion and decreased carbon-based pollutants. For each result, RSM-ANOVA was utilized to generate mathematical formulations (models). The output of the models was predicted and compared to the observed findings. The prediction models showed robust prediction efficiency (R2 greater than 99.21%). The optimal engine operating parameters were discovered by desirability approach-based optimization to be 24 crank angles before the top dead center, 10.88 kg engine loading, and 1.1 lpm oxyhydrogen flow rate. All outcomes were within 3.75% of the model's predicted output when the optimized parameters were tested experimentally. The current research has the potential to be widely used in compression ignition engine-based transportation systems. 2023 Elsevier Ltd Creator An entity primarily responsible for making the resource Sharma P.; Balasubramanian D.; Thanh Khai C.; Papla Venugopal I.; Alruqi M.; Josephin JS F.; Sonthalia A.; Geo Varuvel E.; Khalife E.; Ravikumar R.; Wae-Hayee M. Source A related resource from which the described resource is derived Fuel, Vol-341 Publisher An entity responsible for making the resource available Elsevier Ltd Date A point or period of time associated with an event in the lifecycle of the resource 2023-01-01 Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.1016/j.fuel.2023.127575" target="_blank" rel="noreferrer noopener">https://doi.org/10.1016/j.fuel.2023.127575</a> <a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85147872811&doi=10.1016%2Fj.fuel.2023.127575&partnerID=40&md5=3f20e1e8a67ee8d342378d9412fe5e0a" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85147872811&doi=10.1016%2fj.fuel.2023.127575&partnerID=40&md5=3f20e1e8a67ee8d342378d9412fe5e0a</a> Rights Information about rights held in and over the resource Restricted Access Relation A related resource ISSN: 162361; CODEN: FUELA Format The file format, physical medium, or dimensions of the resource Online Language A language of the resource English Type The nature or genre of the resource 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 Sharma P., Mechanical Engineering Department, Delhi Skill and Entrepreneurship University, Delhi, 110089, India; Balasubramanian D., Department of Mechanical Engineering, Mepco Schlenk Engineering College, Tamilnadu, India; Thanh Khai C., Faculty of Technology, Dong Nai Technology University, Dong Nai, Bien Hoa, Viet Nam; Papla Venugopal I., Department of Mechanical Engineering, Mepco Schlenk Engineering College, Tamilnadu, India; Alruqi M., Department of Mechanical Engineering, College of Engineering, Shaqra University, Al Riyadh, 11911, Saudi Arabia; Josephin JS F., Department of Computer Engineering, Faculty of Engineering and Natural Sciences, Istinye University, Istanbul, Turkey; Sonthalia A., Department of Automobile Engineering, SRM Institute of Science and Technology, NCR Campus, Modi Nagar, 201204, India; Geo Varuvel E., Department of Mechanical Engineering, Faculty of Engineering and Natural Sciences, Istinye University, Istanbul, Turkey; Khalife E., Department of Civil Engineering, Cihan University-Erbil, Kurdistan Region, Iraq; Ravikumar R., Department of Mechanical and Automobile Engineering, CHRIST University, Bengalore, India; Wae-Hayee M., Department of Mechanical and Mechatronics Engineering, Faculty of Engineering, Prince of Songkla University, Songkhla, Hatyai, 90110, Thailand Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Conference Papers Conference Paper Faculty Publications- Conference Papers Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Enhancing the Recognition of Hand Written Telugu Characters: Natural Language Processing and Machine Learning Approach Subject The topic of the resource Machine Learning; Natural Language processing; Optical Character Recognition (OCR); Telugu Description An account of the resource Handwritten character recognition has wider application in many areas including heritage documents, education, document digitalization, language processing, and assisting the visually handicapped and other related areas. The paper tries to improve the accuracy and efficiency of recognizing handwritten letters of Telugu language scripts, a difficult task for computers. Telugu is most widely spoken language in southern part of India, it has rich cultural heritage. Using the Natural Language Toolkit (NLTK), this study investigates ways to enhance recognition accuracy by analyzing handwritten content and implementing methods such as feature extraction and classification. The purpose is to use NLTK's capabilities to develop handwritten character recognition. 2024 IEEE. Creator An entity primarily responsible for making the resource Reedy B.G.; Meghana G.; Subhadra T.; Mithun B.N.; Yogish D. Source A related resource from which the described resource is derived Proceedings of InC4 2024 - 2024 IEEE International Conference on Contemporary Computing and Communications Publisher An entity responsible for making the resource available Institute of Electrical and Electronics Engineers Inc. Date A point or period of time associated with an event in the lifecycle of the resource 2024-01-01 Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.1109/InC460750.2024.10649114" target="_blank" rel="noreferrer noopener">https://doi.org/10.1109/InC460750.2024.10649114</a> <a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85203834924&doi=10.1109%2FInC460750.2024.10649114&partnerID=40&md5=dce22a3b1383c52b4793320e31c07b19" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85203834924&doi=10.1109%2fInC460750.2024.10649114&partnerID=40&md5=dce22a3b1383c52b4793320e31c07b19</a> Rights Information about rights held in and over the resource Restricted Access Relation A related resource ISBN: 979-835038365-2 Format The file format, physical medium, or dimensions of the resource Online Language A language of the resource English Type The nature or genre of the resource 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 Reedy B.G., Christ University, Karnataka, Bangalore, India; Meghana G., Christ University, Karnataka, Bangalore, India; Subhadra T., Christ University, Karnataka, Bangalore, India; Mithun B.N., A P S College of Engineering, Dept of CSE, Karnataka, Bangalore, India; Yogish D., Christ University, Dept of CSE, Karnataka, Bangalore, India Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Articles Article Faculty Publications -Articles Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Enhancing the stability of DSSC by Co-activation of microwave synthesized TiO2 with biomass derived carbon dots Subject The topic of the resource Carbon dots; Citrus medica; DSSC; Microwave synthesis; Natural dyes; Titanium dioxide Description An account of the resource Dye-sensitized solar cells (DSSCs) that utilize natural dyes have garnered interest due to their low cost, eco-friendly manufacturing process, and competitive photovoltaic performance. However, their efficiency and stability issues have hindered their widespread implementation. To enhance their performance, this paper proposes a novel approach of modifying the photoanode with carbon dots (CDs) to align the band gap for easier carrier collection. The material properties were thoroughly characterized by examining their structural, morphological, optical, and electrical properties. In this study, titanium dioxide (TiO2) was synthesized using the microwave-assisted solvothermal method, while nitrogen-doped CDs derived from Citrus medica fruit juice were prepared using a simple hydrothermal treatment. Three sets of Natural Dye Sensitized Solar Cells (NDSSC) devices were created using co-activated photoanode (CD/TiO2) and unmodified photoanode (TiO2) with Platisol T/sp coated ITO serving as the counter electrode. Hibiscus (Hibiscus rosa-sinensis) and Onion (Allium cepa) peel extracts were utilized as sensitizers and Iodolyte HI-30 as the electrolyte. The most efficient device attained an efficiency of 3.5 % with Voc = 0.81 V and Jsc = 6.57 mA/cm2. This marks the highest efficiency reported using Hibiscus as a sensitizer with the current configuration, accompanied by prolonged device stability. This study showcases the potential of Citrus medica-derived nitrogen-doped CDs in achieving durable device stability. 2024 Elsevier B.V. Creator An entity primarily responsible for making the resource Ninan G.G.; Varghese M.; Balachandran M. Source A related resource from which the described resource is derived Optical Materials, Vol-154 Publisher An entity responsible for making the resource available Elsevier B.V. Date A point or period of time associated with an event in the lifecycle of the resource 2024-01-01 Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.1016/j.optmat.2024.115730" target="_blank" rel="noreferrer noopener">https://doi.org/10.1016/j.optmat.2024.115730</a> <a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85196788578&doi=10.1016%2Fj.optmat.2024.115730&partnerID=40&md5=d465f59c00d1873db34095cb79befec4" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85196788578&doi=10.1016%2fj.optmat.2024.115730&partnerID=40&md5=d465f59c00d1873db34095cb79befec4</a> Rights Information about rights held in and over the resource Restricted Access Relation A related resource ISSN: 9253467; CODEN: OMATE Format The file format, physical medium, or dimensions of the resource Online Language A language of the resource English Type The nature or genre of the resource 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 Ninan G.G., Department of Physics and Electronics, CHRIST (Deemed to be University), Karnataka, Bengaluru, 560029, India; Varghese M., Department of Physics and Electronics, CHRIST (Deemed to be University), Karnataka, Bengaluru, 560029, India; Balachandran M., Department of Physics and Electronics, CHRIST (Deemed to be University), Karnataka, Bengaluru, 560029, India Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Articles Article Faculty Publications -Articles Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Enhancing the stability of electrochemical asymmetric supercapacitor by incorporating thiophene-pyrrole copolymer with nickel sulfide/nickel hydroxide composite Subject The topic of the resource Asymmetric supercapacitor; Copolymer; Modified activated carbon (MAC); Nickel hydroxide; Nickel sulphide; Pseudocapacitor Description An account of the resource The practical application of a supercapacitor predominantly relies on its sustained cyclic stability. Hence it is essential to develop materials with high stability for the efficient supercapacitor applications. Herein, we demonstrate the integration of a copolymer of poly thiophene-pyrrole (cPPyTh) to surpass the limited cyclic stability of the nickel sulfide/nickel hydroxide (NSH) composite. Though the lower electronegativity of sulfur in coexistence with hydroxide achieves a superior capacity for NSH, it lacks extended cyclic stability. By incorporating cPPyTh into the layers of NSH, the stability of the resultant composite (NCP) could be enhanced by preventing the aggregation of layered NSH during longer runs. NCP electrode provides a specific capacity of 87 C/g at a current density of 1 A/g in a three-electrode system. An energy density of 25.47 Wh/kg and power density of 8.65 kW/kg is obtained for the asymmetric supercapacitor fabricated with NCP as positive and modified activated carbon (MAC) as negative electrode. The NCP demonstrates a superior cyclic stability of over 94% for 10,000 cycles in comparison to NSH with stability ? 73% over 5,000 cycles for the asymmetric supercapacitor. 2021 Creator An entity primarily responsible for making the resource Nath A.R.; Madhu B.; Mohan A.; N S. Source A related resource from which the described resource is derived Journal of Energy Storage, Vol-46 Publisher An entity responsible for making the resource available Elsevier Ltd Date A point or period of time associated with an event in the lifecycle of the resource 2022-01-01 Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.1016/j.est.2021.103833" target="_blank" rel="noreferrer noopener">https://doi.org/10.1016/j.est.2021.103833</a> <a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85121931680&doi=10.1016%2Fj.est.2021.103833&partnerID=40&md5=38baca4a116ec9cc8ce5ffcfc3eb2518" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85121931680&doi=10.1016%2fj.est.2021.103833&partnerID=40&md5=38baca4a116ec9cc8ce5ffcfc3eb2518</a> Rights Information about rights held in and over the resource Restricted Access Relation A related resource ISSN: 2352152X Format The file format, physical medium, or dimensions of the resource Online Language A language of the resource English Type The nature or genre of the resource 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 Nath A.R., Nanoscience Research Laboratory, School of Materials Science and Engineering, National Institute of Technology Calicut, Calicut, Kerala, India; Madhu B., CHRIST (Deemed to be University), Hosur Road, Bengaluru, Karnataka, India; Mohan A., Materials Engineering, Indian Institute of Technology Gandhinagar, Gujarat, India; N S., Nanoscience Research Laboratory, School of Materials Science and Engineering, National Institute of Technology Calicut, Calicut, Kerala, India