Publications:

SCIE Indexed Journal

• Aditya Dubey and Akhtar Rasool, “Efficient technique of microarray missing data imputation using clustering and weighted nearest neighbour,” Scientific Reports, vol. 11, 24297, 2021, pp. 1–12.
• Aditya Dubey, and Akhtar Rasool, “Usage of Clustering and Weighted Nearest Neighbors for Efficient Missing Data Imputation of Microarray Gene Expression Dataset,” Adv. The. Sim., 2022, pp. 1–16. 
• Aditya Dubey, Rahul Ahirwar, Akhtar Rasool, Ankit Kumar, and Sachin Mehra, “Employing Transfer Learning and LSTM Networks for COVID-19 Detection via Chest Xray Imagery”, Traitement du Signal, Vol. 40, No. 4, 2023, pp. 1319–1328. 

• Aditya Dubey, et al., Usage of Statistical Techniques to Monitor the Performance of Wind Turbines. International Arab Journal of Information Technology, 2024, 21(2), pp. 338–349. doi: 10.34028/iajit/21/2/15.

Scopus Indexed Conferences

• Aditya Dubey, and Akhtar Rasool, "Data Mining based Handling Missing Data," 2019 Third International conference on I-SMAC (IoT in Social, Mobile, Analytics, and Cloud) (I-SMAC), Palladam, India, 2019, pp. 483–489.
• Aditya Dubey, and Akhtar Rasool, “Time-Series Missing Value Prediction: Algorithms and Applications,” Information, Communication, and Computing Technology. ICICCT 2020. Communications in Computer and Information Science, vol. 1170. Springer, Singapore, 21–36.
• R. Sikarwar, P. Yadav, and Aditya Dubey, "A Survey on IOT enabled cloud platforms," 2020 IEEE 9th International Conference on Communication Systems and Network Technologies (CSNT), Gwalior, India, 2020, pp. 120–124.
• A. M A, Akhtar Rasool, Aditya Dubey, and B. N. Roy, "Optimized Weighted Samples Based Semi-supervised Learning," 2021 Second International Conference on Electronics and Sustainable Communication Systems (ICESC), 2021, pp. 1311–1318.
• V. K. Gond, Aditya Dubey, and Akhtar Rasool, “A Survey of Machine Learning-Based Approaches for Missing Value Imputation,” Proceedings of the 3rd International Conference on Inventive Research in Computing Applications, ICIRCA 2021, 2021, pp. 841–846.
• M. K. Sharma, P. Kumar, Akhtar Rasool, Aditya Dubey, V. K. Mahto, Classification of Actual and Fake News in Pandemic, Fifth International Conference on I-SMAC (IoT in Social, Mobile, Analytics, and Cloud) (I-SMAC), 2021, pp. 1168–1174.
• P. Vyas, F. Sharma, Akhtar Rasool, and Aditya Dubey, “Supervised Multimodal Emotion Analysis of Violence on Doctors  Tweets," Fifth International Conference on I-SMAC (IoT in Social, Mobile, Analytics, and Cloud) (I-SMAC), 2021, pp. 962–967.
• Das, C., Aditya Dubey, and Rasool, A. (2022), “Outlier Detection Techniques: A Comparative Study,"  Edge Analytics. Lecture Notes in Electrical Engineering, vol. 869. Springer, 2022, pp. 551–566.
• A. Soni, Akhtar Rasool, Aditya Dubey, and N. Khare, “Data Mining based Dimensionality Reduction Techniques,” 2022 International Conference for Advancement in Technology (ICONAT), 2022, pp. 1–8.
• V. S. Charan, Akhtar Rasool, and Aditya Dubey, "Stock Closing Price Forecasting using Machine Learning Models," International Conference for Advancement in Technology (ICONAT), 2022, pp. 1–7.
• Mayank Shukla, Akhtar Rasool, Aditya Jain, Vishwas Sahu, Prerak Verma, and Aditya Dubey, “COVID-19 Detection Using Raw Chest X-Ray Images,” IEEE World Conference on Applied Intelligence and Computing, 2022, pp. 320–325.
• Rahul Ahirwar, Akhtar Rasool, Aanya Chauhan, Aditya Dubey, Sachin Mehra, and Ankit Kumar, “Covid-19 Detection based on Transfer Learning & LSTM Network using X-ray Images,” IEEE World Conference on Applied Intelligence and Computing, 2022, pp. 300-306.
• Vikesh Kumar Gond, Aditya Dubey, Akhtar Rasool, and Nilay Khare, Missing Value Imputation Using Weighted KNN and Genetic Algorithm, ICT Analysis and Applications: Proceedings of ICT4SD 2022, 161--169, 2022.
• Ayush Soni, Akhtar Rasool, Aditya Dubey, and Nilay Khare, Visualizing Commenters Opinions Through Topic Analysis, ICT Analysis and Applications: Proceedings of ICT4SD 2022, 249--257, 2022.
• Amarjeet Yadav, Akhtar Rasool, Aditya Dubey, and Nilay Khare, “A Hybrid Approach for Missing Data Imputation in Gene Expression Dataset Using Extra Tree Regressor and a Genetic Algorithm”, Lecture Notes in Electrical Engineering, 2023, 998, pp. 127–138.
• Parth Vyas, Manish Sharma, Akhtar Rasool, and Aditya Dubey, “Comparative Study of Loss Functions for Imbalanced Dataset of Online Reviews”, Lecture Notes in Electrical Engineering, 2023, 998, pp. 115–126.
• Rane, R., Aditya Dubey, Rasool, A., Wadhvani, R. “Neural Network Based Mortality Prediction in Covid-19 Dataset”, Communications in Computer and Information Science, 2024, 1929, pp. 354–366.
• A. Raj, Aditya Dubey, A. Rasool and R. Wadwani, "Machine Learning based Missing Data Imputation Techniques," 2023 14th International Conference on Computing Communication and Networking Technologies (ICCCNT), Delhi, India, 2023, pp. 1-6.
• S. Ahmed, Aditya Dubey, A. Rasool and M. Gyanchandani, "Access Control and Encryption Techniques during Big Data Accessing Stage," 2023, 14th International Conference on Computing Communication and Networking Technologies (ICCCNT), Delhi, India, 2023, pp. 1–7.
• Pansari, R.K., Rasool, A., Wadhvani, R., and Aditya Dubey, “Machine Learning-Based Stock Market Prediction”, Lecture Notes in Networks and Systems, 2023, 641 LNNS, pp. 57–67.

Scopus Indexed Journals

• Aditya Dubey and Akhtar Rasool, “Clustering-Based Hybrid Approach for Multivariate Missing Data Imputation”, International Journal of Advanced Computer Science and Applications (IJACSA), vol. 11, no. 11, 2020, pp. 710-714.
• Chiranjit Das, Akhtar Rasool, Aditya Dubey, and N. Khare, “Analyzing the Performance of Anomaly Detection Algorithms, IJACSA, vol. 12, no. 06, 2021, pp. 439–445.
• A. Yadav, Aditya Dubey, Akhtar Rasool, and N. Khare, Data Mining Based Imputation Techniques to Handle Missing Values in Gene Expressed Datasets, International Journal of Engineering Trends and Technology, vol. 69, no. 9, 2021, pp. 242-250.
• Aditya Dubey, and Akhtar Rasool, “RECENT ADVANCES AND APPLICATIONS OF DEEP LEARNING TECHNIQUE,” vol. 100, no. 13, 5000-5009.
• Aditya Dubey and Akhtar Rasool, Usage of deep learning in recent applications, Archives of Materials Science and Engineering, vol. 115, no. 2, pp. 46–57.
• Aditya Dubey, Pradeep Yadav, Priusha Narwaria, Anand Kumar Pandey, and Jyoti Kumari (2023): “An extensive asynchronous symmetric rendezvous technique for cognitive radio networks.” International Journal of Experimental Research and Review, 36, 166–177.
• Rahul Rane, Aditya Dubey, Akhtar Rasool, and Rajesh Wadhvani, Data Mining-Based Techniques for COVID-19 Predictions, Procedia Computer Science, vol. 218, 210–219, 2023.
• Aditya Dubey and Akhtar Rasool, Impact on Air Quality Index of India Due to Lockdown, Procedia Computer Science, vol. 218, 969–978, 2023.

International Journals

• Aditya Dubey, and Akhtar Rasool, “Local Similarity-Based Approach for Multivariate Missing Data Imputation,” International Journal of Advanced Science and Technology, 29(06), 9208–9215.
• D. Shrivastava, C. P. Bhargava, and Aditya Dubey, " A collaborative Image Edge Detection binary data Using the concept of Fuzzy Logic," IPASJ International Journal of Computer Science (IIJCS), Volume 6, Issue 4, April 2018, pp. 018–022.
• Shirish Mohan Dubey, Deshdeepak Shrivastava, and Aditya Dubey, “Improve the Performance of Frequent Itemsets using Apriori and FP Tree Algorithm,” IJCRTE, 6(1), 2018, 450–453.
• Aditya Dubey and Sanjiv Sharma, “Performance Measurement of K-means & Spectral Clustering Graph Clustering Algorithms,” International Journal of Advanced Computer Science, Vol. 4, No. 12, pp. 565–570, Dec. 2014.
• Aditya Dubey and Sanjiv Sharma, “Comparison of Graph Clustering Algorithms, International Journal of Computer Trends & Technology,” 2013; 4 (9): 3230–3235.