| Issue Date | Title | Sub-Title | Author(s) | Journal Name | Volume Number | Issue Number | Pages |
| 2019 | A new approach to product development for AI based firm | - | Kumar, M Naveen ; Sylendran, A | | | | 19p. |
| 2019 | Applying machine learning/Artificial intelligence in pharmaceutical data research | - | Mitra, Neel Ratan | | | | 15p. |
| 2015 | Data analysis using machine learning and data mining | - | Sharma, Vaibhav | | | | 19p. |
| 2019 | Deep learning algorithm to detect presence of malaria parasite in Blood slides | - | Singh, Ayush ; Nag, Ishan | | | | 14p. |
| 2021 | Determinants of electronic waste generation in Bitcoin network: Evidence from the machine learning approach | - | Jana, Rabin K ; Ghosh, Indranil ; Das, Debojyoti ; Dutta, Anupam | Technological Forecasting and Social Change | Vol.173 | | 1-12p. |
| 2019 | Impact of artificial intelligence and machine learning on jobs in India | - | Bhartiya, Ruchika ; Aggarwal, Smriti | | | | 19p. |
| 2021 | Industrial applications of generative adversarial network (GANs) | - | Kamath, Dhanvi Laxmana ; Saha, Anamika | | | | 21p. |
| 2018 | Invited talk on machine learning at the symposium on machine learning | - | Dinesh Kumar, U | | | | |
| 2015 | Machine learning algorithms for analyzing debit card purchases | - | Bharadwaj, R Sriram ; Prithivirajan, S R | | | | 21p. |
| 2012 | Machine learning algorithms in trading | - | Sengupta, Arnab ; Rathi, Nilesh Omprakash | | | | 12p. |
| 2017 | Machine learning based estimation of delivery windows: A suggestion of how to implicitly mitigate the last mile problem | - | Lofstedt, Gunnar ; Arentof, Andreas T | | | | 41p. |
| 2015 | Machine learning research in quantitative finance | - | Dhingra, Nipun ; Raheja, Pranav | | | | 14p. |
| 2019 | Machine learning using Python | - | Pradhan, Manaranjan ; Dinesh Kumar, U | | | | 343p. |
| 2021 | Quantum computing | - | Tarun, Kumar Anmol Yash ; Maruti, Patil Milind | | | | 24p. |
| 2018 | Titanic: Machine learning from disaster | - | Nallamothu, Nikita ; Kumar, Nikhil | | | | 21p. |
| 2012 | Using fundamental indicators and machine learning to predict stock returns | - | Agarwal, Achin ; Kedia, Gaurav | | | | 11p. |
