A Study on impact of stress on employee’s productivity and job performance: implications for stress measurement and management MDSAB Dr M Martha Sucharitha Elementary Education Online 19 (4), 823-831, 2020 | 14 | 2020 |
Enhancing red wine quality prediction through Machine Learning approaches with Hyperparameters optimization technique MSA Basha, K Desai, S Christina, MM Sucharitha, A Maheshwari 2023 Second International Conference on Electrical, Electronics, Information …, 2023 | 9 | 2023 |
A Data Mining approach on the Performance of Machine Learning Methods for Share Price Forecasting using the Weka Environment AU Devi, RV Kumar, PS Priya, MSA Basha, MM Sucharitha, PM Oveis 2023 Fifth International Conference on Electrical, Computer and …, 2023 | 2 | 2023 |
An efficient machine learning approach: Analysis of supervised machine learning methods to forecast the diamond price MSA Basha, PM Oveis, C Prabavathi, MB Lakshmi, MM Sucharitha 2023 International Conference for Advancement in Technology (ICONAT), 1-6, 2023 | 2 | 2023 |
The impact of Covid-19 on global upstream and downstream supply chain management activities MM Sucharitha, MD Basha AIP Conference Proceedings 2421 (1), 2022 | 2 | 2022 |
A study on grievance handling KN Sumalatha, D Sucharıtha Journal of engineering sciences 10 (9), 2019 | 2 | 2019 |
Artificial intelligence in fostering sustainable development MM Sucharitha, MSA Basha, P Biswas, DR Krishnan AIP Conference Proceedings 2821 (1), 2023 | 1 | 2023 |
Exploring Machine Learning Models to Predict the Diamond Price: A Data Mining Utility Using Weka MSA Basha, MM Sucharitha, AU Devi, M Ashok, PM Oveis 2023 9th International Conference on Advanced Computing and Communication …, 2023 | 1 | 2023 |
Leveraging and deployment of AI/ML to simplify business operations among diverse sectors during Covid-19 battle MD Basha, R Raju, MM Sucharitha AIP Conference Proceedings 2648 (1), 2022 | 1 | 2022 |
Implementation of Time-Series Analysis: Prediction of Stock Prices using Machine Learning and Deep learning models: A Hybrid Approach MSA Basha, JPS Kumar, MM Sucharitha, S Ayesha, MB Laskhmi 2022 IEEE North Karnataka Subsection Flagship International Conference …, 2022 | 1 | 2022 |
Unveiling the Future: Exploring Stock Price Prediction in the Finance Sector through Machine Learning and Deep Learning-A Comprehensive Bibliometric Analysis MM Sucharitha, MSA Basha, C Prabhavathi, S Christina, O Varikunta 2024 International Conference on Smart Systems for applications in …, 2024 | | 2024 |
Gems of Prediction: From Clarity to Carats-Unveiling Diamond Prices with Machine Learning in Waikato Environment for Knowledge Analysis MSA Basha, PM Oveis, RPK Raju, MM Sucharitha 2024 International Conference on Distributed Computing and Optimization …, 2024 | | 2024 |
Predictive Modeling of Solar Energy Production: A Comparative Analysis of Machine Learning and Time Series Approaches MM Sucharitha, S Sowjanya, KN Sumalatha, S Ayesha, MSA Basha 2024 IEEE International Conference for Women in Innovation, Technology …, 2024 | | 2024 |
Artificial intelligence revolution in supply chain management MSA Basha, MM Sucharitha, GS Reddy, A Uma Devi AIP Conference Proceedings 2821 (1), 2023 | | 2023 |
Artificial intelligence & automation: Opportunities and challenges MM Sucharitha, MSA Basha, S Christina, YN Raja AIP Conference Proceedings 2821 (1), 2023 | | 2023 |
Leveraging robotic process automation (RPA) in business operations and its future perspective MSA Basha, MM Sucharitha, M Bhagyalakshmi, P Sasikumar AIP Conference Proceedings 2821 (1), 2023 | | 2023 |
Forecasting the Academic Horizon: Machine Learning Models Unraveling the Complex Web of Student Well-being Determinants MSA Basha, P Biswas, S Christina, DR Krishnan, MM Sucharitha 2023 IEEE North Karnataka Subsection Flagship International Conference …, 2023 | | 2023 |
Talent retention, job involvement satisfaction, and commitment towards the organization in the IT sector MD Basha, MM Sucharitha, MB Lakshmi, JP Kumar AIP Conference Proceedings 2888 (1), 2023 | | 2023 |
A LSTM based model for stock price analysis and prediction MSA Basha, MM Sucharitha, VS Krishnan, MB Lakshmi AIP Conference Proceedings 2888 (1), 2023 | | 2023 |
Predicting Graduate Admissions using Ensemble Machine Learning Techniques: A Comparative Study of Classifiers and Regressors MSA Basha, C Prabhavathi, V Khangembam, MM Sucharitha, PM Oveis 2023 2nd International Conference for Innovation in Technology (INOCON), 1-6, 2023 | | 2023 |