Sustainable Industrial Machine Learning and Artificial Intelligence: A Framework for Environmentally Responsible Innovation
Abstract
As the world embraces the era of Industry 4.0, the integration of Machine Learning (ML) and Artificial Intelligence (AI) in industrial processes has become increasingly prevalent. However, the rapid adoption of these technologies has raised concerns regarding their environmental impact and long-term sustainability. This paper presents a comprehensive framework for sustainable industrial ML and AI, aiming to guide practitioners in developing environmentally responsible and ethically conscious solutions.
References
Meenigea , N., & kolla, V. ravi kiran. (2013). Heart Disease Prediction using Deep Learning and Artificial intelligence. International Journal of Statistical Computation and Simulation, 5(1). Retrieved from https://journals.threws.com/index.php/IJSCS/article/view/150
Meenigea, N. kolla, V. ravi kiran.(2017). DETERMINING TELECOM COMPANY CHURN PREDICTION USING MACHINE LEARNING. International Transactions in Artificial Intelligence, 1(1).
Meenigea, N. (2017). Infusion reaction incidence after switching all patients. International Journal of Sustainable Devlopment in Computer Science Engineering, 3(3).
Meenigea, N. kolla, V. ravi kiran.(2019). Classification of Fruits/Vegetables using TensorFlow. International Transactions in Artificial Intelligence, 3(3).
Meenigea, N., & Kolla, V. R. K. (2023). Exploring the Current Landscape of Artificial Intelligence in Healthcare. International Journal of Sustainable Development in Computing Science, 1(1).
Kolla, V. R. K. (2022). Machine Learning Application to automate and forecast human behaviours. International Journal of Machine Learning for Sustainable Development, 4(1), 1-10.
alag, r., & Kolla, V. (2023). Improving Fraud Detection in Financial Transactions using Machine Learning. International Journal of Machine Learning for Sustainable Development, 5(1), 16-21. Retrieved from https://www.ijsdcs.com/index.php/IJMLSD/article/view/289
sahni, R., & Kolla, V. (2022). Design of Daily Expense Manager using AI. International Journal of Sustainable Development in Computing Science, 4(2), 1-10. Retrieved from https://ijsdcs.com/index.php/ijsdcs/article/view/86
Kolla, V. (2020). India’s Experience with ICT in the Health Sector. Transactions on Latest Trends in Health Sector, 12(12). Retrieved from https://ijsdcs.com/index.php/TLHS/article/view/217
Whig, P., Gupta, K., Jiwani, N. et al. A novel method for diabetes classification and prediction with Pycaret. Microsyst Technol (2023). https://doi.org/10.1007/s00542-023-05473-2
WHIG, P. (2023). Harnessing AI for Sustainable Traffic Management: Enhancing Efficiency, Safety, and Mobility in Smart Cities. International Scientific Journal for Research, 5(5). Retrieved from https://isjr.co.in/index.php/ISJR/article/view/120
Bhatia, A. B., Mittal, K., Mahajan, R., & Whig, P. (2023). Computational Psychometrics Social Analysis of Learners in Their Learning Behaviour Using AI Algorithms. In AI-Enabled Social Robotics in Human Care Services (pp. 1-32). IGI Global.
Whig, P., Kouser, S., Puruhit, K., Alam, N., & Velu, A. (2022). Security and Privacy for IoT-based Smart Cities. In Internet of Things and Cyber Physical Systems (pp. 231-251). CRC Press.
Annam, S. R. K. K., Jupalle, H., Kouser, S., Nadikattu, R. R., & Whig, P. (2022, November). ICT for Identifying Safe Infrastructure to Prevent Accident Using the Application of AI. In Proceedings of Third Doctoral Symposium on Computational Intelligence: DoSCI 2022 (pp. 771-781). Singapore: Springer Nature Singapore.
Kolla, Venkata Ravi Kiran, A Comparative Analysis of OS Forensics Tools (April 2, 2022). International Journal of Research in IT and Management (IJRIM), Vol. 12 Issue 4, April- 2022 , Available at SSRN: https://ssrn.com/abstract=4413730
Kolla, Venkata Ravi Kiran, Emojify: A Deep Learning Approach for Custom Emoji Creation and Recognition (January 11, 2021). International Journal of Creative Research Thoughts, 2021, Available at SSRN: https://ssrn.com/abstract=4413719
Kolla, Venkata Ravi Kiran, Heart Disease Diagnosis Using Machine Learning Techniques In Python: A Comparative Study of Classification Algorithms For Predictive Modeling (September 6, 2015). International Journal of Electronics and Communication Engineering & Technology, 2015, Available at SSRN: https://ssrn.com/abstract=4413723
Kolla, Venkata Ravi Kiran, A Secure Artificial Intelligence Agriculture Monitoring System (July 31, 2021). JounalNX, 2021, Available at SSRN: https://ssrn.com/abstract=4413466
Kolla, Venkata Ravi Kiran, Paws And Reflect: A Comparative Study of Deep Learning Techniques For Cat Vs Dog Image Classification (December 20, 2020). International Journal of Computer Engineering and Technology, 2020, Available at SSRN: https://ssrn.com/abstract=4413724
Kolla, Venkata Ravi Kiran, Forecasting the Future of Crypto currency: A Machine Learning Approach for Price Prediction (December 1, 2020). International Research Journal of Mathematics, Engineering and IT, Volume 7, Issue 12, December 2020, Available at SSRN: https://ssrn.com/abstract=4413732
Kolla, Venkata Ravi Kiran, Forecasting the Future: A Deep Learning Approach for Accurate Weather Prediction (December 01, 2018). International Journal in IT & Engineering (IJITE), 2018, Available at SSRN: https://ssrn.com/abstract=4413727
Kolla, Venkata Ravi Kiran, Forecasting Laptop Prices: A Comparative Study of Machine Learning Algorithms for Predictive Modeling (December 30, 2016). International Journal of Information Technology & Management Information System, 2016, Available at SSRN: https://ssrn.com/abstract=4413726
Kolla, Venkata Ravi Kiran, Analyzing the Pulse of Twitter: Sentiment Analysis using Natural Language Processing Techniques (August 1, 2016). International Journal of Creative Research Thoughts, 2016, Available at SSRN: https://ssrn.com/abstract=4413716
Meenigea , N., & kolla, V. ravi kiran. (2013). Heart Disease Prediction using Deep Learning and Artificial intelligence. International Journal of Statistical Computation and Simulation, 5(1). Retrieved from https://journals.threws.com/index.php/IJSCS/article/view/150
Meenigea, N. (2014). Type 2 Diabetes mellitus treatment intensification and deintensification. Transaction on Recent Devlopment in Industrial IoT, 6 (6).
Meenigea, N. (2022). Evaluation of antioxidant potential and antimicrobial activity. Transactions on Latest Trends in Health Sector, 14(14). Retrieved from https://ijsdcs.com/index.php/TLHS/article/view/269
Meenigea, N. (2022). In hospital deprescribing in the real world. Transactions on Latest Trends in Artificial Intelligence, 3(3). Retrieved from https://ijsdcs.com/index.php/TLAI/article/view/276
Atluri, H., & Thummisetti, B. S. P. (2023). Optimizing Revenue Cycle Management in Healthcare: A Comprehensive Analysis of the Charge Navigator System. International Numeric Journal of Machine Learning and Robots, 7(7), 1-13.
Atluri, H., & Thummisetti, B. S. P. (2022). A Holistic Examination of Patient Outcomes, Healthcare Accessibility, and Technological Integration in Remote Healthcare Delivery. Transactions on Latest Trends in Health Sector, 14(14).
Meenigea, N. (2019). A systematic review OF splitting a tablet obtain an accurate dose. International Journal of Machine Learning for Sustainable Development, 1(2), 51-60. Retrieved from https://www.ijsdcs.com/index.php/IJMLSD/article/view/273
Meenigea, N. (2019). EMOJIFY-CREATE YOUR OWN EMOJIS WITH DEEP LEARNING. International Journal of Sustainable Development in Computing Science, 1(1), 31-39.
Meenigea, N. (2015). Assessing the acceptance of augmented-reality. Transaction on Recent Devlopment in Artificial Intellgence and Machine Learning, 7 (7).
Meenigea, N. kolla, V. ravi kiran.(2019). Classification of Fruits/Vegetables using TensorFlow. International Transactions in Artificial Intelligence, 3(3).
Meenigea, N. kolla, V. ravi kiran.(2013). Heart Disease Prediction using Deep Learning and Artificial intelligence. International Journal of Statistical Computation and Simulation, 5(1).
Meenigea, N. (2021). Safety of metaraminol in critically ill patients with shock. International Journal of Sustainable Devlopment in Computer Science Engineering, 7(7).
Meenigea, N. (2021). Virtual Objective Structured Clinical Examinations. International Scientific Journal for Research, 3 (3).
Meenigea, N. (2020). Experiential-based foundational pharmacy residency programs: a narrative review. International Scientific Journal for Research, 2 (2).
Meenigea, N. (2020). Exploring career advancement of pharmacy. Transaction on Recent Devlopment in Artificial Intellgence and Machine Learning, 12 (12).
Meenigea, N. (2018). Building a pharmacy workforce from the ground up to support the COVID-19 vaccine rollout. Transactions on Latest Trends in IoT, 1(1), 61-67. Retrieved from https://www.ijsdcs.com/index.php/TLIoT/article/view/278
Meenigea, N. (2018). Knowledge and perceptions of outpatients regarding upper respiratory tract. International Journal of Managment Education for Sustainable Development, 1(1), 50-55.
Meenigea, N. (2018). A Comparative Analysis of OS Forensics Tools in Health Sector. Transaction on Recent Devlopment in Industrial IoT, 10 (10).
Meenigea, N. (2017). Developing a mobile device-based medicines management application for people who are blind and visually impaired. Transaction on Recent Devlopment in Artificial Intellgence and Machine Learning, 9 (9).
Meenigea, N. kolla, V. ravi kiran.(2017). DETERMINING TELECOM COMPANY CHURN PREDICTION USING MACHINE LEARNING. International Transactions in Artificial Intelligence, 1(1).
Meenigea, N. (2023). Exploring the Current Landscape of Artificial Intelligence in Healthcare. International Journal of Sustainable Development in Computing Science, 1(1). Retrieved from https://www.ijsdcs.com/index.php/ijsdcs/article/view/285
Meenigea , N., & kolla, V. ravi kiran. (2013). Heart Disease Prediction using Deep Learning and Artificial intelligence. International Journal of Statistical Computation and Simulation, 5(1). Retrieved from https://journals.threws.com/index.php/IJSCS/article/view/150
Nadikattu, A., & Kolla, V. (2023). A method using deep learning to forecast Game of Champions results. International Journal of Machine Learning for Sustainable Development, 5(1), 1-15. Retrieved from https://ijsdcs.com/index.php/IJMLSD/article/view/284
alag, r., & Kolla, V. (2023). Improving Fraud Detection in Financial Transactions using Machine Learning. International Journal of Machine Learning for Sustainable Development, 5(1), 16-21. Retrieved from https://www.ijsdcs.com/index.php/IJMLSD/article/view/289
Kolla, V. (2022). Moodle as a tool for managing your own knowledge. International Journal of Managment Education for Sustainable Development, 5(5). Retrieved from https://www.ijsdcs.com/index.php/IJMESD/article/view/233
Jain, M., & Kolla, V. (2022). To the defence of online models for segmenting video instances. International Journal of Machine Learning for Sustainable Development, 4(3), 21-30. Retrieved from https://www.ijsdcs.com/index.php/IJMLSD/article/view/117
sahni, R., & Kolla, V. (2022). Design of Daily Expense Manager using AI. International Journal of Sustainable Development in Computing Science, 4(2), 1-10. Retrieved from https://ijsdcs.com/index.php/ijsdcs/article/view/86
Kolla, V. (2022). Machine Learning Application to automate and forecast human behaviours.. International Journal of Machine Learning for Sustainable Development, 4(1), 1-10. Retrieved from https://ijsdcs.com/index.php/IJMLSD/article/view/82
Kolla, V. (2021). Prediction in Stock Market using AI. Transactions on Latest Trends in Health Sector, 13(13). Retrieved from https://www.ijsdcs.com/index.php/TLHS/article/view/200
Kolla, V. (2021). Cyber security operations centre ML framework for the needs of the users. International Journal of Machine Learning for Sustainable Development, 3(3), 11-20. Retrieved from https://ijsdcs.com/index.php/IJMLSD/article/view/46
M. Nagaraju Naik, A. Kaur, N. Yathiraju, S. Das and K. Pant, "Improved and Accurate Face Mask Detection Using Machine Learning in the Crowded Places," 2023 3rd International Conference on Advance Computing and Innovative Technologies in Engineering (ICACITE), Greater Noida, India, 2023, pp. 572-576, doi: 10.1109/ICACITE57410.2023.10182567.
Yathiraju, N., & Mohapatra, A. (2023). "The Implications of IoT in the Modern Healthcare Industry post COVID-19," International Journal of Smart Sensor and Adhoc Network: Vol. 3: Iss. 4, Article 3. DOI: 10.47893/IJSSAN.2023.1226
Yathiraju, N., & Dash, B. (2023). BIG DATA AND METAVERSE REVOLUTIONIZING THE FUTURISTICFINTECH INDUSTRY,” International Journal of Computer Science & Information Technology(IJCSIT) Vol 15, No.1, 2023. DOI: 10.5121/ijcsit.2023.15101
Ahammad, D. S. H. ., & Yathiraju, D. . (2021). Maternity Risk Prediction Using IOT Module with Wearable Sensor and Deep Learning Based Feature Extraction and Classification Technique. Research Journal of Computer Systems and Engineering,2(1), 40:45