510 20 11858 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 Stock market prediction using DQN with DQNReg loss function Description An account of the resource There have been many developments in predicting stock market prices usingreinforcement learning. Recently, Google released a paper that designed a new loss function,specifically for meta-learning reinforcement learning. In this paper, implementation is doneusing this loss function to the reinforcement learning model, whose objective is to predict thestock price based on certain parameters. The reinforcement learning used is an encoderdecoderframework that is useful for extracting features from long sequence prices. TheDQNReg loss function is implemented in the encoder-decoder model as it could providestrong adaptation performance in a variety of settings. The model can buy and sell the index, and the reward is the portfolio return after the days trading has concluded. To maximizeyield the model must optimize reward function. The DQNReg loss implemented DQN network and the Huber loss DQN network is compared with the Sharpe ratio considered for return. 2024 The Author(s). Creator An entity primarily responsible for making the resource Sebastian A.; Habis K.V.; Shukla S. Source A related resource from which the described resource is derived Artificial Intelligence, Blockchain, Computing and Security - Proceedings of the International Conference on Artificial Intelligence, Blockchain, Computing and Security, ICABCS 2023, Vol-1, pp. 58-63. Publisher An entity responsible for making the resource available CRC Press/Balkema 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/10.1201/9781003393580-10" target="_blank" rel="noreferrer noopener">https://doi.org/10.1201/9781003393580-10</a> <a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85186684014&doi=10.1201%2F9781003393580-10&partnerID=40&md5=affeb80f0aeacad64370be9350a3f613" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85186684014&doi=10.1201%2f9781003393580-10&partnerID=40&md5=affeb80f0aeacad64370be9350a3f613</a> Rights Information about rights held in and over the resource Restricted Access Relation A related resource ISBN: 978-103266966-3 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 Sebastian A., Department of Computer Science Christ University, Bangalore, India; Habis K.V., Department of Computer Science Christ University, Bangalore, India; Shukla S., Department of Computer Science Christ 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 Stock market prediction using subtractive clustering for a neuro fuzzy hybrid approach Subject The topic of the resource ANFIS training method; Neuro fuzzy approach; Stock market prediction; Technical indicators Description An account of the resource Stock market prediction is the challenging area for the investors to yield profits in the financial markets. The investors need to understand the financial markets which are more volatile and affected by many external factors. This paper proposes a subtractive clustering based adaptive neuro fuzzy approach for predicting apple stock data prices. The research data used in this study is from 3rd Jan 2005 to 30th Jan 2015. Four technical indicators are proposed in this study. They are Simple moving average for 1week, simple moving average for 2weeks, 14days Disparity and Larry Williams R%. These variables are used as inputs to the neuro fuzzy system to predict the daily apple stock prices. Also, this study compares the proposed work with the ANFIS training method and subtractive clustering method etc. The performance of all these models is analyzed. The measures like training error, testing error, number of rules and number of parameters are calculated and compared for analysis. From the simulation results, the average performance of subtractive clustering based neuro fuzzy approach was found considerably better than the other networks. 2017, Springer Science+Business Media, LLC. Creator An entity primarily responsible for making the resource Chandar S.K. Source A related resource from which the described resource is derived Cluster Computing, Vol-22, pp. 13159-13166. Publisher An entity responsible for making the resource available Springer 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/10.1007/s10586-017-1321-6" target="_blank" rel="noreferrer noopener">https://doi.org/10.1007/s10586-017-1321-6</a> <a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85033572347&doi=10.1007%2Fs10586-017-1321-6&partnerID=40&md5=62b0aca48d64ccd9964a4345b43a2fb0" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85033572347&doi=10.1007%2fs10586-017-1321-6&partnerID=40&md5=62b0aca48d64ccd9964a4345b43a2fb0</a> Rights Information about rights held in and over the resource Restricted Access Relation A related resource ISSN: 13867857 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 Chandar S.K., Department of Management Studies, Christ University, Bengaluru, India https://archives.christuniversity.in/files/original/1283fd1b0bbec398688056b7694c1b5a.jpg c12d8cd52781b538234a968684454ef5 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 Stock market prediction using subtractive clustering for a neuro fuzzy hybrid approach / Subject The topic of the resource Management Description An account of the resource Cluster Computing (The Journal Of Networks, Software Tools And Applications), Vol.22, pp.13159–13166. Creator An entity primarily responsible for making the resource Chandar, S Kumar. Source A related resource from which the described resource is derived <a href="https://link.springer.com/article/10.1007/s10586-017-1321-6" target="_blank" title="Stock market prediction using subtractive clustering for a neuro fuzzy hybrid approach" rel="noreferrer noopener">https://link.springer.com/article/10.1007/s10586-017-1321-6</a> Publisher An entity responsible for making the resource available Springer Date A point or period of time associated with an event in the lifecycle of the resource 2017-03-07 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 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 Stock market sensitivity to macroeconomic factors: Evidence from China and India Subject The topic of the resource Composite index; Consumer price index; Exchange rate; Interest rate; Macroeconomic factors; Nifty; Quantile regression; Shanghai stock exchange; Stock market returns Description An account of the resource The purpose of this study is to analyse the impact of Chinese macroeconomic factors on Shanghai Stock Exchange (SSE) Composite returns and Indian macroeconomic factors on Nifty returns based on monthly data from January 1998 to December 2018. This study adopts quantile regression approach. The QR allows examining the conditional dependence of specific quantile of SSE and Nifty returns with respect to the conditioning factors. The authors present results for two sample periods that are pre-recession and recession period from 1998 to 2008 and the post-recession period from 2009 to 2018. This paper also documents quite interesting and useful results for the entire period. From the results, It is concluded that Chinese consumer price index significantly affects the SSE returns only for lower quantiles. However, Indian consumer price index has a significant and positive impact on the Nifty returns for the upper quantiles. Further, Chinese interest rates and Indian interest rates have no impact on the SSE and Nifty returns respectively across the different quantiles. Moreover, the Chinese exchange rate influence the SSE returns at the extreme dataset. However, the Indian exchange rate is insignificant. It is important to note that the dependence structure of China shows a negligible change during the post-recession period. Conversely, the dependence structure has changed significantly for India post-recession. The implication of this paper would guide stock market participants. 2020 AESS Publications. All Rights Reserved. Creator An entity primarily responsible for making the resource Chellaswamy K.P.; Natchimuthu N.; Faniband M. Source A related resource from which the described resource is derived Asian Economic and Financial Review, Vol-10, No. 2, pp. 146-159. Publisher An entity responsible for making the resource available Asian Economic and Social Society Date A point or period of time associated with an event in the lifecycle of the resource 2020-01-01 Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.18488/journal.aefr.2020.102.146.159" target="_blank" rel="noreferrer noopener">https://doi.org/10.18488/journal.aefr.2020.102.146.159</a> <a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85081606611&doi=10.18488%2Fjournal.aefr.2020.102.146.159&partnerID=40&md5=ee7f824d2aa94b71302fd68105728c16" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85081606611&doi=10.18488%2fjournal.aefr.2020.102.146.159&partnerID=40&md5=ee7f824d2aa94b71302fd68105728c16</a> Rights Information about rights held in and over the resource All Open Access; Gold Open Access Relation A related resource ISSN: 23052147 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 Chellaswamy K.P., Department of Commerce, CHRIST (Deemed to be University), Bengaluru, India; Natchimuthu N., Department of Commerce, CHRIST (Deemed to be University), Bengaluru, India; Faniband M., Department of Commerce, CHRIST (Deemed to be University), 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 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 Stock Market Trend Analysis on Indian Financial News Headlines with Natural Language Processing Subject The topic of the resource Data Mining; Machine Learning; NLP; Sentiment Analysis; stock prediction; Trend Analysis Description An account of the resource Predicting the stock movement in the real-time scenario has been the most challenging and sophisticated in business. This business is affected by several factors from physical to psychological as well as rational to irrational. So far only few aspects have been taken into account while breaking down the conclusion. Implementing sentiment analysis, a subfield of Natural Language Processing (NLP), from the news, social media or financial document, investors decide whether they should invest for the company. The results have shown a significant and a feasible method for predicting the stock market trend with higher accuracy. The current research has mainly focus on finding the sentiment score from the news headlines and finding the hidden trend from it. Further the trading signals are generated based on the prevailing trend and trends are executed by the automated trading system. Using this algorithm, traders can reduce the manual intervention in the buy and sell decisions related to the stock market. 2021 IEEE. Creator An entity primarily responsible for making the resource Saxena A.; Vijay Bhagat V.; Tamang A. Source A related resource from which the described resource is derived 2021 Asian Conference on Innovation in Technology, ASIANCON 2021 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 2021-01-01 Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.1109/ASIANCON51346.2021.9544965" target="_blank" rel="noreferrer noopener">https://doi.org/10.1109/ASIANCON51346.2021.9544965</a> <a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85117622721&doi=10.1109%2FASIANCON51346.2021.9544965&partnerID=40&md5=190562bf484e813b30b679786d2cbf51" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85117622721&doi=10.1109%2fASIANCON51346.2021.9544965&partnerID=40&md5=190562bf484e813b30b679786d2cbf51</a> Rights Information about rights held in and over the resource Restricted Access Relation A related resource ISBN: 978-172818583-5 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 Saxena A., Christ (Deemed to Be University), Bangalore, India; Vijay Bhagat V., Christ (Deemed to Be University), Bangalore, India; Tamang A., Independent Consultant, 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 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 Stock Performance Prediction of HRM Firms: A Machine Learning Approach Utilizing Info Edge and Quess Corp Subject The topic of the resource HRM firms; Machine Learning; Neural Networks; Statistical methods; Stock price prediction Description An account of the resource HR firms help drive economic growth by facilitating the acquisition and retention of top talent, fostering innovation and optimizing operational efficiency. The stock prices of these firms serve as a nuanced representation of their standing in the market. However, predicting stock prices proves to be a complex task due to the dynamic nature of the market. This paper delves into finding the most effective approach for forecasting stock prices within the HR sector, employing a diverse range of machine learning techniques. The investigation encompasses utilizing statistical methods like Simple Moving Average, RSI, Stochastic Indicators, and VIX India data alongside 'Machine learning approaches such as Linear Regression, K-Nearest Neighbors, Random Forest, Support Vector Machine, Gradient Boosting, and Neural Network.' To augment the analysis, a comprehensive study is conducted, integrating both top-performing and bottom-performing HRM firms (Info Edge Ltd and Quess Corporation) based on market capitalization. The outcomes derived from this study aim to lay the groundwork for future research endeavors in the realm of stock predictions specific to the HRM industry. 2024 IEEE. Creator An entity primarily responsible for making the resource Singh A.; Kandala R.; Nair R.; Suryanarayanan U.; Sharma M. Source A related resource from which the described resource is derived TQCEBT 2024 - 2nd IEEE International Conference on Trends in Quantum Computing and Emerging Business Technologies 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/TQCEBT59414.2024.10545132" target="_blank" rel="noreferrer noopener">https://doi.org/10.1109/TQCEBT59414.2024.10545132</a> <a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85204477089&doi=10.1109%2FTQCEBT59414.2024.10545132&partnerID=40&md5=aaa664b097e8b7ed54dc0b4583fcc3e9" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85204477089&doi=10.1109%2fTQCEBT59414.2024.10545132&partnerID=40&md5=aaa664b097e8b7ed54dc0b4583fcc3e9</a> Rights Information about rights held in and over the resource Restricted Access Relation A related resource ISBN: 979-835038427-7 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 Singh A., Christ University, India; Kandala R., Christ University, India; Nair R., Christ University, India; Suryanarayanan U., Christ University, India; Sharma M., 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 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 Stock price forecasting using ANN method Subject The topic of the resource Data mining; Decision tree; Index; Investor; Neural networks; Stock market prediction; Stock price; Volatile market Description An account of the resource Ability to predict stock price direction accurately is essential for investors to maximize their wealth. Neural networks, as a highly effective data mining method, have been used in many different complex pattern recognition problems including stock market prediction. But the ongoing way of using neural networks for a dynamic and volatile behavior of stock markets has not resulted in more efficient and correct values. In this research paper, we propose methods to provide more accurately by hidden layer data processing and decision tree methods for stock market prediction for the case of volatile markets. We also compare and determine our proposed method against three layer feed forward neural network for the accuracy of market direction. From the analysis, we prove that with our way of application of neural networks, the accuracy of prediction is improved. Springer India 2016. Creator An entity primarily responsible for making the resource Ravichandra T.; Thingom C. Source A related resource from which the described resource is derived Advances in Intelligent Systems and Computing, Vol-435, pp. 599-605. Publisher An entity responsible for making the resource available Springer Verlag Date A point or period of time associated with an event in the lifecycle of the resource 2016-01-01 Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.1007/978-81-322-2757-1_59" target="_blank" rel="noreferrer noopener">https://doi.org/10.1007/978-81-322-2757-1_59</a> <a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-84959149198&doi=10.1007%2F978-81-322-2757-1_59&partnerID=40&md5=b38362d24d87d3eb5931a483be888d57" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-84959149198&doi=10.1007%2f978-81-322-2757-1_59&partnerID=40&md5=b38362d24d87d3eb5931a483be888d57</a> Rights Information about rights held in and over the resource Restricted Access Relation A related resource ISSN: 21945357; ISBN: 978-813222756-4 Format The file format, physical medium, or dimensions of the resource Online Language A language of the resource English Type The nature or genre of the resource Conference paper Coverage The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant Ravichandra T., Department of Professional Studies, Christ University, Bangalore, India; Thingom C., Centre for Digital Innovation, Christ 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 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 Stock price prediction based on technical indicators with soft computing models Subject The topic of the resource Back Propagation Neural Network (BPNN); Intraday stock price prediction; MAE; MAPE; Technical indicators; Time Delay Neural Network (TDNN) Description An account of the resource Stock market prediction is a very tough task in the finance world. Since stock prices are dynamic, noisy, non-scalable, non-linear, non-parametric and complicated. In recent years, soft computing techniques are used for developing stock prediction model. The main focus of this study is to develop and compare the efficiency of the three different soft computing techniques for predicting the intraday price of individual stocks. The proposed models are based on Time Delay Neural Network (TDNN), Radial Basis Function Neural Network (RBFNN) and Back Propagation Neural Network (BPNN). The predictive models are developed using technical indicators. Sixteen technical indicators were calculated from the historical price and used as inputs of the developed models. Historical prices from 01/01/2018 to 28/02/2018, where the time interval between samples is one minute, are utilized for developing models. The performance of the proposed models is evaluated by measuring some metrics. Also, this study compares the results with other existing models. The experimental result revealed that the BPNN outperforms TDNN, RBFNN as well as other existing models considered for comparison. The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerland AG 2021. Creator An entity primarily responsible for making the resource Kumar Chandar S. Source A related resource from which the described resource is derived Advances in Intelligent Systems and Computing, Vol-1200 AISC, pp. 685-699. Publisher An entity responsible for making the resource available Springer 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/10.1007/978-3-030-51859-2_62" target="_blank" rel="noreferrer noopener">https://doi.org/10.1007/978-3-030-51859-2_62</a> <a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85089241595&doi=10.1007%2F978-3-030-51859-2_62&partnerID=40&md5=7230cfc4b7f19eb41ae1a5a5262d58a8" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85089241595&doi=10.1007%2f978-3-030-51859-2_62&partnerID=40&md5=7230cfc4b7f19eb41ae1a5a5262d58a8</a> Rights Information about rights held in and over the resource Restricted Access Relation A related resource ISSN: 21945357; ISBN: 978-303051858-5 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 Kumar Chandar S., School of Business and Management, CHRIST (Deemed to Be University), Bangalore, India, Department of Management Studies, Christ 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 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 Stock Price Prediction using Deep Learning and FLASK Subject The topic of the resource Deep Learning; Kaggle; LSTM; RNN; Stock Prediction Description An account of the resource The forecasting of stock prices is one of the most explored issues, and it attracts the attention of both academics and business professionals. It is quite difficult to make predictions about the stock market, and it takes extensive research into the patterns of data. With the expansion of the internet and indeed the growth of social media, online media and opinions frequently mirror investor sentiment. The volatility and non-linear structure of the financial stock markets makes accurate forecasting difficult. One of the sophisticated analysis techniques that is being used by academics in a variety of fields is the neural network. In this paper, we proposed deep learning techniques for google stock price prediction. A dataset from Kaggle was collected and applied deep learning techniques RNN, LSTM variants. We achieved better results with Bidirectional LSTM. We also created a web app for stock prediction using Christ University python FLASK. 2022 IEEE. Creator An entity primarily responsible for making the resource Lakshmanarao A.; Babu M.R.; Gupta C.; Lakshmi A.S.G. Source A related resource from which the described resource is derived Proceedings of the 2022 International Conference on Innovative Computing, Intelligent Communication and Smart Electrical Systems, ICSES 2022 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 2022-01-01 Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.1109/ICSES55317.2022.9914347" target="_blank" rel="noreferrer noopener">https://doi.org/10.1109/ICSES55317.2022.9914347</a> <a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85141527949&doi=10.1109%2FICSES55317.2022.9914347&partnerID=40&md5=d9637e795e7dda1b281712d9ab792de9" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85141527949&doi=10.1109%2fICSES55317.2022.9914347&partnerID=40&md5=d9637e795e7dda1b281712d9ab792de9</a> Rights Information about rights held in and over the resource Restricted Access Relation A related resource ISBN: 978-166547413-9 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 Lakshmanarao A., Aditya Engineering College, Department of IT, Surampalem, India; Babu M.R., Aditya Engineering College, Department of IT, Surampalem, India; Gupta C., Christ University, School of Commerce, Finance and Accountancy, India; Lakshmi A.S.G., Mallareddy College of Engineering Maisammaguda, Department of CSE, Dhulapally, Secunderabad, 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 Stock Price Prediction Using RNNs: A Comparative Analysis of RNN, LSTM, GRU, and BiRNN Subject The topic of the resource BiRNN; GRU; LSTM; MAE; MAPE; MSE; Nifty 50 Forecasting; RNN; Stock Price Prediction Description An account of the resource Stock price prediction is a crucial area of financial market research, having significant implications for investors, traders, and analysts. However, given the dynamic and intricate nature of financial markets - which are impacted by a wide range of variables such as economic statistics, geopolitical developments, and market sentiment - accurately projecting stock prices is intrinsically difficult. Conventional techniques frequently fail to fully capture these dynamics, producing predictions that are not ideal. Recurrent Neural Networks (RNNs), one of the most recent developments in machine learning, provide potential methods to overcome these obstacles. Despite their potential, the effectiveness of different RNN architectures in stock price prediction remains an area of active research. This study compares four Recurrent Neural Network (RNN) architectures - Simple RNN, Long-Short Term Memory (LSTM), Gated Recurrent Unit (GRU), and Bidirectional Recurrent Neural Network (BiRNN) - for forecasting the Nifty 50 index values on the Indian National Stock Exchange (NSE) from the year 2000 to 2021. Using a comprehensive dataset spanning two decades, we assess each model's performance using the metrics Mean Absolute Error (MAE), Mean Absolute Percentage Error (MAPE), and Mean Squared Error (MSE). The data shows that the BiRNN model regularly outperforms the other models in all criteria i.e., MAE, MAPE, and MSE, indicating higher predictive accuracy. This study adds to the existing research by offering useful insights into the usefulness of RNN models, especially that of the BiRNN model for predicting stock prices, specifically in the setting of the Nifty 50 index. Our findings emphasize BiRNN's potential as a stock price prediction model and open new options for future research in this area. 2024 IEEE. Creator An entity primarily responsible for making the resource Agarwal S.; Alapatt B.P.; Nair A.M.; George F.J. Source A related resource from which the described resource is derived 2nd International Conference on Sustainable Computing and Smart Systems, ICSCSS 2024 - Proceedings, pp. 1074-1079. 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/ICSCSS60660.2024.10625047" target="_blank" rel="noreferrer noopener">https://doi.org/10.1109/ICSCSS60660.2024.10625047</a> <a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85203107322&doi=10.1109%2FICSCSS60660.2024.10625047&partnerID=40&md5=d3f0f2561efbd90e4222feeba49f129f" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85203107322&doi=10.1109%2fICSCSS60660.2024.10625047&partnerID=40&md5=d3f0f2561efbd90e4222feeba49f129f</a> Rights Information about rights held in and over the resource Restricted Access Relation A related resource ISBN: 979-835037999-0 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 Agarwal S., School of Sciences, CHRIST(Deemed to Be University), Delhi NCR, India; Alapatt B.P., School of Sciences, CHRIST(Deemed to Be University), Delhi NCR, India; Nair A.M., School of Business and Management, CHRIST(Deemed to Be University), Delhi NCR, India; George F.J., CHRIST(Deemed to Be University), Delhi NCR, 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 Stocks and throughput Accounting on Material Management and its Impact on Cost Management Subject The topic of the resource Management Studies Description An account of the resource Global Journal of Arts and Management, Vol. 2, No. 3, pp. 244-246, ISSN No. 2249-2658 Creator An entity primarily responsible for making the resource Kavitha Jayakumar and Sekar S Publisher An entity responsible for making the resource available Global Journal of Arts and Management Date A point or period of time associated with an event in the lifecycle of the resource 2012 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 Stormy minds and the long-term mental health impact of climate-linked natural disasters Description An account of the resource This chapter delves into the enduring psychological ramifications stemming from climate-linked natural disasters, encapsulated in the term "Stormy Minds." As our planet grapples with an escalating frequency of such events, understanding the protracted effects on mental health becomes imperative. This abstract provides an insightful overview of the research, focusing on the intricate interplay between climate-induced disasters and the long-term well-being of individuals. Drawing on interdisciplinary perspectives, the study explores the psychological dimensions of enduring stress, anxiety, and trauma caused by these disasters. By assessing and documenting the persistent mental health impact, the research aims to contribute valuable insights for policymakers, mental health professionals, and communities striving to build resilience in the face of an increasingly turbulent climate. 2024, IGI Global. All rights reserved. Creator An entity primarily responsible for making the resource Rajendran R.K.; Priya T.M.; Jose D.V.; Selvi G.V.; Senthilkumar S.P.; Mahalakshmi S.B. Source A related resource from which the described resource is derived The Climate Change Crisis and Its Impact on Mental Health, pp. 1-11. 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/10.4018/979-8-3693-3272-6.ch001" target="_blank" rel="noreferrer noopener">https://doi.org/10.4018/979-8-3693-3272-6.ch001</a> <a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85191822320&doi=10.4018%2F979-8-3693-3272-6.ch001&partnerID=40&md5=bfd1b10f6c400f5fbae3d57981bae7d0" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85191822320&doi=10.4018%2f979-8-3693-3272-6.ch001&partnerID=40&md5=bfd1b10f6c400f5fbae3d57981bae7d0</a> Rights Information about rights held in and over the resource Restricted Access Relation A related resource ISBN: 979-836933273-3; 979-836933272-6 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 Rajendran R.K., Christ University, India; Priya T.M., Christ University, India; Jose D.V., Christ University, India; Selvi G.V., Presidency University, India; Senthilkumar S.P., Dr N.G.P. Arts and Science College, India; Mahalakshmi S.B., Coimbatore Institute of Technology, 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 Newspaper 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 storytelling a transformative technique Subject The topic of the resource Education, Teachers Description An account of the resource Complex philosophical and ethical teachings are often conveyed through parables and fables, ensuring that wisdom is passed down through generations, writes John J Kennedy Creator An entity primarily responsible for making the resource John J Kennedy Source A related resource from which the described resource is derived Deccan Herald, 10-September-2024 Publisher An entity responsible for making the resource available Deccan Herald Date A point or period of time associated with an event in the lifecycle of the resource 2024-September-10 Identifier An unambiguous reference to the resource within a given context <a href="https://www.deccanherald.com/education/storytelling-a-transformative-technique-3183397" target="_blank" rel="noreferrer noopener">https://www.deccanherald.com/education/storytelling-a-transformative-technique-3183397</a> Rights Information about rights held in and over the resource Open Access Relation A related resource NA 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 Newspaper 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 India https://archives.christuniversity.in/files/original/11f077fe65df2c43c5285403ee3cf5bc.pdf bf21045d9783a2029a58308426a3d018 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 MASTERS Masters' Dissertation Masters Dissertation 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 Storytelling: An effective way of advertisement / Subject The topic of the resource Media studies Description An account of the resource When the word advertisement strikes the minds of the audience, the very first thing they tend to do is either change the channel or skip it. The term advertisement has always been as something that is only meant to promote a product or a service. Until the last few years, have always seen advertisement as just an Integrated Marketing Communication. Storytelling form of advertisement is not something we see very often on TV or on the Internet. Creator An entity primarily responsible for making the resource Naidu, Deepthi. - 1537139 Source A related resource from which the described resource is derived Master of Arts in Media and Communication Studies Publisher An entity responsible for making the resource available CHRIST (Deemed To Be University) Date A point or period of time associated with an event in the lifecycle of the resource 2017-02-03 Contributor An entity responsible for making contributions to the resource Department of Media Studies Format The file format, physical medium, or dimensions of the resource PDF Language A language of the resource English Type The nature or genre of the resource Masters Dissertation 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 Straightforward synthesis of mn3o4/zno/eu2o3-based ternary heterostructure nano-photocatalyst and its application for the photodegradation of methyl orange and methylene blue dyes Subject The topic of the resource Dye degradation; Methyl orange; Methylene blue; Mn3O4/ZnO/Eu2O3; Photocatalyst; Ternary heterostructure Description An account of the resource Zinc oxide-ternary heterostructure Mn3O4/ZnO/Eu2O3 nanocomposites were successfully prepared via waste curd as fuel by a facile one-pot combustion procedure. The fabricated heterostructures were characterized utilizing XRD, UVVisible, FT-IR, FE-SEM, HRTEM and EDX analysis. The photocatalytic degradation efficacy of the synthesized ternary nanocomposite was evaluated utilizing model organic pollutants of methylene blue (MB) and methyl orange (MO) in water as examples of cationic dyes and anionic dyes, respectively, under natural solar irradiation. The effect of various experimental factors, viz. the effect of a light source, catalyst dosage, irradiation time, pH of dye solution and dye concentration on the photodegradation activity, was systematically studied. The ternary Mn3O4/ZnO/Eu2O3 photocatalyst exhibited excellent MB and MO degradation activity of 98% and 96%, respectively, at 150 min under natural sunlight irradiation. Experiments further conclude that the fabricated nanocomposite exhibits pH-dependent photocatalytic efficacy, and for best results, concentrations of dye and catalysts have to be maintained in a specific range. The prepared photocatalysts are exemplary and could be employed for wastewater handling and several ecological applications. 2021 by the authors. Licensee MDPI, Basel, Switzerland. Creator An entity primarily responsible for making the resource Shubha J.P.; Savitha H.S.; Adil S.F.; Khan M.; Hatshan M.R.; Kavalli K.; Shaik B. Source A related resource from which the described resource is derived Molecules, Vol-26, No. 15 Publisher An entity responsible for making the resource available MDPI AG 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/10.3390/molecules26154661" target="_blank" rel="noreferrer noopener">https://doi.org/10.3390/molecules26154661</a> <a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85112594445&doi=10.3390%2Fmolecules26154661&partnerID=40&md5=b7ce40966c70830bb0562a2def2fa703" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85112594445&doi=10.3390%2fmolecules26154661&partnerID=40&md5=b7ce40966c70830bb0562a2def2fa703</a> Rights Information about rights held in and over the resource All Open Access; Gold Open Access; Green Open Access Relation A related resource ISSN: 14203049; PubMed ID: 34361813; CODEN: MOLEF 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 Shubha J.P., Department of Chemistry, Don Bosco Institute of Technology, Mysore Road, Bangalore, 560074, India; Savitha H.S., Department of Chemistry, SJB Institute of Technology, Kengeri, Bangalore, 560060, India; Adil S.F., Department of Chemistry, College of Science, King Saud University, P.O. Box 2455, Riyadh, 11451, Saudi Arabia; Khan M., Department of Chemistry, College of Science, King Saud University, P.O. Box 2455, Riyadh, 11451, Saudi Arabia; Hatshan M.R., Department of Chemistry, College of Science, King Saud University, P.O. Box 2455, Riyadh, 11451, Saudi Arabia; Kavalli K., Department of Mechanical and Automobile Engineering, School of Engineering and Technology, CHRIST University, Bangalore, 560074, India; Shaik B., Department of Advanced Materials Engineering for Information and Electronics, Kyung Hee University, 1732 Deogyeong-daero, Giheung-gu, Gyeonggi-do, Yongin-si, 446-701, South Korea 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 Strain-Induced Tribocatalytic Activity of 2D ZnO Quantum Dots Description An account of the resource The use of low-frequency vibration or high-frequency ultrasound waves to create polarization and an inherent electric field in piezo-tribocatalysts has recently been shown to be a novel advanced oxidation process. In this study, we have demonstrated the synthesis of two-dimensional (2D) ZnO quantum dots (QDs) and their strain-induced tribocatalytic effect, where the triboelectric charges generated under the influence of friction and strain are used to facilitate the decomposition of organic dye molecules. The catalytic performance of 2D QD catalysts can be tuned by modulation of the strain-induced band-gap variation, which are typically regarded as the active sites. The underlying mechanism for the strain-induced catalytic performance is due to the presence of defective dipole moments. Detailed theoretical investigations reveal strain-induced charge-transfer-dependent catalytic properties of the 2D ZnO QD-polymer interface. We believe that the present work provides a fundamental understanding of the design of high-performance catalysis applications for water cleaning and emerging technologies. 2024 American Chemical Society. Creator An entity primarily responsible for making the resource Kumbhakar P.; Mishra S.; Kumbhakar P.; Barik R.K.; Tiwary C.S.; Singh A.K. Source A related resource from which the described resource is derived Journal of Physical Chemistry C, Vol-128, No. 25, pp. 10733-10741. Publisher An entity responsible for making the resource available American Chemical Society 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/10.1021/acs.jpcc.4c02798" target="_blank" rel="noreferrer noopener">https://doi.org/10.1021/acs.jpcc.4c02798</a> <a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85196007564&doi=10.1021%2Facs.jpcc.4c02798&partnerID=40&md5=c7f9fdbba4bc095382fbed7a51334400" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85196007564&doi=10.1021%2facs.jpcc.4c02798&partnerID=40&md5=c7f9fdbba4bc095382fbed7a51334400</a> Rights Information about rights held in and over the resource Restricted Access Relation A related resource ISSN: 19327447 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 Kumbhakar P., Department of Physics and Electronics, CHRIST (Deemed to be University), Bangalore, 560029, India; Mishra S., Materials Research Centre, Indian Institute of Science, Bangalore, 560012, India; Kumbhakar P., Nanoscience Laboratory, Department of Physics, National Institute of Technology, West Bengal, Durgapur, 713209, India; Barik R.K., Materials Research Centre, Indian Institute of Science, Bangalore, 560012, India; Tiwary C.S., Department of Metallurgical and Materials Engineering, Indian Institute of Technology, West Bengal, Kharagpur, 721302, India; Singh A.K., Materials Research Centre, Indian Institute of Science, Bangalore, 560012, 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 Newspaper 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 Strained Symbiosis: AIADMK, BJP, and the Shrinking Space for Dravidian Politics in Tamil Nadu Subject The topic of the resource Politics Description An account of the resource In Tamil Nadu, the electorate still listens keenly for ideological clarity. The question is: will the AIADMK find the courage to speak? Creator An entity primarily responsible for making the resource John J Kennedy Source A related resource from which the described resource is derived The Wire, 28-June-2025 Publisher An entity responsible for making the resource available The Wire Date A point or period of time associated with an event in the lifecycle of the resource 2025-June-28 Identifier An unambiguous reference to the resource within a given context <a href="https://thewire.in/politics/aiadmk-bjp-dravidian-politics-tamil-nadu-amit-shah" target="_blank" rel="noreferrer noopener">https://thewire.in/politics/aiadmk-bjp-dravidian-politics-tamil-nadu-amit-shah</a> Relation A related resource NA 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 Newspaper 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 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 Strategic Data Analytics for Sustainable Competitive Advantage Subject The topic of the resource Analytics; Big data; Competitive advantage; Data; Strategy Description An account of the resource Data and analytics have become major assets for all organizations to leverage into superior strategic positions in this cut-throat competitive world with buzzwords like data crunch, metrics, and dark data. This chapter discusses the structural and economic reasons of why business analytics is necessary for organizations. The ability to collect different resources and entities such as talent, process, data, and information technology to bring out a valuable output is crucial for business analytics success. The most common difficulty of big data begins when organizations are in the journey of business analytics. Since a number of organizations are still in the baby steps of basic, tackling data challenges is humongous for them. This situation calls for the need to foster a business analytics ecosystem by every organization. This paper discusses how optimizing analytics could lead to a sustainable competitive advantage, building data strategy, and setting Key Performance Indicators (KPI) for business analytics. The chapter further explores how analytics is used across business domains and the challenges in crafting a business analytics strategy. The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2024. Creator An entity primarily responsible for making the resource Nagarathinam A.; Chellasamy A.; Rangasamy S. Source A related resource from which the described resource is derived Data-Driven Decision Making, pp. 77-106. Publisher An entity responsible for making the resource available Springer Nature 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/10.1007/978-981-97-2902-9_4" target="_blank" rel="noreferrer noopener">https://doi.org/10.1007/978-981-97-2902-9_4</a> <a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85205571082&doi=10.1007%2F978-981-97-2902-9_4&partnerID=40&md5=a26ada11db93a94e64897ffa491b53ff" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85205571082&doi=10.1007%2f978-981-97-2902-9_4&partnerID=40&md5=a26ada11db93a94e64897ffa491b53ff</a> Rights Information about rights held in and over the resource Restricted Access Relation A related resource ISBN: 978-981972902-9; 978-981972901-2 Format The file format, physical medium, or dimensions of the resource Online Language A language of the resource English Type The nature or genre of the resource Book chapter Coverage The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant Nagarathinam A., CHRIST University, Bangalore, India; Chellasamy A., CHRIST University, Bangalore, India; Rangasamy S., CHRIST 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 Strategic design of MXene/CoFe2O4/g-C3N4 electrode for high-energy asymmetric supercapacitors Subject The topic of the resource Electrode; Energy; MXene; Supercapacitor; Ultrasonication Description An account of the resource MXenes are emerging as the next-generation materials for energy storage due to their substantial surface area, exceptional conductivity, and abundant surface-terminating groups. However, the tortuous path for ion transfer within the restacked layers significantly limits the electrochemical performance of multilayered MXenes. To overcome this, interlayer spacers have been introduced. These spacers help mitigate ion diffusion barriers and enhance the accessibility of active sites, thereby improving the overall efficiency and longevity of MXene-based supercapacitors and related devices. In this study, a rational material is designed by incorporating CoFe2O4 and g-C3N4 into the layers of MXene through ultrasonication for supercapacitor application. The physicochemical properties of the synthesized materials have been comprehensively characterized using diverse techniques, revealing that MXene/CoFe2O4/g-C3N4 has successfully evolved into a multilayered structure possessing enhanced surface area, low restacking tendency, high pore diameter, and excellent pore volume. Leveraging these properties, it performs as a viable material for fabricating the working electrode with a specific capacitance (Csp) of 1506.2 F g?1 at a current density of 5 A g?1 in 3 M KOH. It shows good stability with 89 % capacitance retention over 7000 cycles. An asymmetric supercapacitor (ASC) constructed with MXene/CoFe2O4/g-C3N4 as positive electrode and activated carbon as negative electrode exhibits an energy density of 79.8 Wh Kg?1 and power density of 1343.3 W Kg?1. Furthermore, it shows a capacitive retention of 91 % over 10,000 cycles. This MXene based composite, with excellent capacitance and outstanding stability, offers an appreciable performance in the field of sustainable energy storage. 2024 Elsevier B.V. Creator An entity primarily responsible for making the resource Mathew S.; Devi K.R. S.; Saravanakumar B.; Pinheiro D. Source A related resource from which the described resource is derived Journal of Alloys and Compounds, Vol-1008 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 2024-01-01 Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.1016/j.jallcom.2024.176488" target="_blank" rel="noreferrer noopener">https://doi.org/10.1016/j.jallcom.2024.176488</a> <a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85204349724&doi=10.1016%2Fj.jallcom.2024.176488&partnerID=40&md5=fdba43bc97dd8b86b237b7be329c6667" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85204349724&doi=10.1016%2fj.jallcom.2024.176488&partnerID=40&md5=fdba43bc97dd8b86b237b7be329c6667</a> Rights Information about rights held in and over the resource Restricted Access Relation A related resource ISSN: 9258388; CODEN: JALCE 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 Mathew S., Department of Chemistry, CHRIST (Deemed to be University), Karnataka, Bengaluru, 560029, India; Devi K.R. S., Department of Chemistry, CHRIST (Deemed to be University), Karnataka, Bengaluru, 560029, India; Saravanakumar B., Department of Physics, Dr. Mahalingam College of Engineering and Technology, Tamil Nadu, Pollachi, 642003, India; Pinheiro D., Department of Chemistry, 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 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 Strategic Integration of HR, Organizational Management, Big Data, IoT, and AI: A Comprehensive Framework for Future-Ready Enterprises Subject The topic of the resource AI integration; Big data analytics; Future-ready enterprises; HR management; IoT implementation; Organizational efficiency; Strategic integration Description An account of the resource This exploration paper proposes a comprehensive frame aimed at fostering unborn-ready enterprises through the strategic integration of Human coffers(HR), Organizational Management, Big Data, the Internet of Things (IoT), and Artificial Intelligence(AI). By synthesizing these critical factors, the frame seeks to optimize organizational effectiveness, enhance decision-making processes, and acclimatize proactively to evolving request dynamics. Through a methodical review of being literature and empirical substantiation, the paper delineates the interconnectedness of these rudiments and elucidates their collaborative impact on organizational performance and dexterity. likewise, it explores perpetration strategies and implicit challenges associated with espousing such an intertwined approach. This paper not only contributes to the theoretical understanding of strategic operation but also provides practical perceptivity for directors and directors seeking to navigate the complications of the contemporary business geography and place their associations for sustained success in a decreasingly digitized and competitive terrain. 2024 IEEE. Creator An entity primarily responsible for making the resource Chavan V.; Nagendra; Mohammad Roshif U.; Abhijith R.; Joshi A.; Jha D. Source A related resource from which the described resource is derived Proceedings of 9th International Conference on Science, Technology, Engineering and Mathematics: The Role of Emerging Technologies in Digital Transformation, ICONSTEM 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/ICONSTEM60960.2024.10568704" target="_blank" rel="noreferrer noopener">https://doi.org/10.1109/ICONSTEM60960.2024.10568704</a> <a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85198825703&doi=10.1109%2FICONSTEM60960.2024.10568704&partnerID=40&md5=655b2e4bea7c266e3cf6e9de514286c8" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85198825703&doi=10.1109%2fICONSTEM60960.2024.10568704&partnerID=40&md5=655b2e4bea7c266e3cf6e9de514286c8</a> Rights Information about rights held in and over the resource Restricted Access Relation A related resource ISBN: 979-835036509-2 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 Chavan V., Ravensbourne University London, Project Management, United Kingdom; Nagendra, Manipal Law School, Manipal Academy of Higher Education, Karnataka, Bengaluru, India; Mohammad Roshif U., Malabar College of Advanced Studies Vengara, University of Calicut, Department of Management Studies, Kerala, India; Abhijith R., Cet School of Management, College of Engineering Trivandrum, Apj Abdul Kalam Technological University, Kerala, India; Joshi A., Ba School of Business And Finance, Riga, Latvia; Jha D., Christ (Deemed To Be University, Delhi-NCR), Uttar Pradesh, India