55. Patil, S. S.; Rajak, R.; Ramteke, M.; Rathore, A. S.; MMIT-DDPM - Multilateral Medical Image Translation with Class and Structure Supervised Diffusion-Based Model. Computers in Biology and Medicine, Accepted (2024), IF: 7.000.
54. Jami, H.; Singh, P.; Kumar, A.; Bakshi, B.; Ramteke, M.; Kodamana, H.; CCU-Llama: A Knowledge Extraction LLM for Carbon Capture and Utilization by Mining Scientific Literature Data. Industrial & Engineering Chemistry Research, 63, 10692-10703 (2024), IF: 3.720.
53. Kumar, D.; Ramteke, M.; Kodamana, H.; A Framework for Model Maintenance Using Kernel-based Forward Propagating Neural Networks. Chemical Engineering Research and Design, 210, 352-364 (2024), IF: 3.739.
52. Alam, M. N.; Anurag, A.; Gangwar, N.; Ramteke, M.; Kodamana, H.; Rathore, A. S.; Physics-Informed Neural Networks Guided Modelling and Optimization of a mAb Production Process. Canadian Journal of Chemical Engineering, Accepted (2024), IF: 1.600.
51. Goswami, U.; Kodamana, H.; Ramteke, M.; Fault Detection Using Graph Neural Differential Auto-encoders (GNDAE). Computers & Chemical Engineering, 189, 108775 (2024), IF: 3.845.
50. Balraj, K.; Ramteke, M.; Mittal, S.; Bhargava, R.; Rathore, A. S.; MADR-Net: Multi-Level Attention Dilated Residual Neural Network for Segmentation of Medical Images. Scientific Reports, 14, 12699 (2024), IF: 4.6.
49. Haq, A.; Bakshi, B. R.; Kodamana, H.; Ramteke, M.; Assessing the Effectiveness of Improving Urban Air Quality with Solutions Based on Technology, Nature and Policy. Sustainable Cities and Society, 110, 105549 (2024), IF: 11.7.
48. Gupta, N.; Anand, S.; Kumar, D.; Ramteke, M.; Kandath, H.; Kodamana, H.; A Twin Agent Reinforcement Learning Framework by Integrating Deterministic and Stochastic Policies. Industrial & Engineering Chemistry Research, 63, 10692-10703 (2024), IF: 3.720.
47. Agrawal, A.; Ramteke, M.; Traveling of Multiple Salesmen to Dynamically Changing Locations for Satisfying Multiple Goals. Digital Chemical Engineering, 11, 100149 (2024), IF: 3.000.
46. Sharma, R.; Bakshi, B. R.; Ramteke, M.; Kodamana, H.; Quantifying Ecosystem Services from Trees by Using i-Tree with Low-Resolution Satellite Images. Ecosystem Services, 67, 101611 (2024), IF: 7.6.
45. Kumar, D.; Keerthiveena B; Seth, S.; Vashista, S.; Ramteke, M.; Rathore, A.S.; An improved Machine Learning-based Prediction Framework for Early Detection of Events in Heart Failure Patients using mHealth. Health and Technology, 14, 495-512 (2024), IF: 2.3.
44. Wolday, A. K.; Ramteke, M.; Surrogate Model-based Optimization of Methanol Synthesis Process for Multiple Objectives: A Pathway towards Achieving Sustainable Development Goals. Chemical Engineering Research and Design, 204, 172-182 (2024), IF: 3.739.
43. Agrawal, A.; Bakshi, B. R.; Kodamana, H.; Ramteke, M.; Multi-objective Optimization of Food-Energy-Water Nexus via Crops Land Allocation. Computers & Chemical Engineering, 183, 108610 (2024), IF: 3.845.
42. Sharma, R.; Haq, A.; Bakshi, B. R.; Ramteke, M.; Kodamana, H.; Designing Synergies between Hybrid Renewable Energy Systems and Ecosystems Developed by Different Afforestation Approaches. Journal of Cleaner Production, 434, 139804 (2024), IF: 11.1.
41. Haq, A.; Sharma, R.; Bakshi, B. R.; Kodamana, H.; Ramteke, M.; Forecasting Sustainable Power Generation Profiles to Achieve Net Zero Emissions Using Multi-Objective Techno-Ecological Framework: A Study in the Context of India. Computers & Chemical Engineering, 179, 108439 (2023), IF: 3.845.
40. Wolday, A. K.; Gujarathi, A. M.; Ramteke, M.; Multi-Objective Optimization of Methanol Production for Energy Efficiency and Environmental Sustainability. Computers & Chemical Engineering, 179, 108426 (2023), IF: 3.845.
39. Kumar, D.; Goswami, U.; Kodamana, H.; Ramteke, M.; Tamboli, P. K.; Variance-Capturing Forward-Forward Autoencoder (VFFAE): A Forward Learning Neural Network for Fault Detection and Isolation of Process Data. Process Safety and Environmental Protection, 178, 176 - 194 (2023), IF: 7.8.
38. Kumar, A.; Bakshi, B. R.; Ramteke, M.; Kodamana, H.; Recycle-BERT: Extracting Knowledge about Plastic Waste Recycling by Natural Language Processing. ACS Sustainable Chemistry & Engineering, 11, 12123 - 12134 (2023), IF: 9.224.
37. Patil, S. S.; Ramteke, M.; Verma, M.; Seth, S.; Bhargava, R.; Mittal, S.; Rathore, A. S.; A Domain-Shift Invariant CNN Framework for Cardiac MRI Segmentation Across Unseen Domains. Journal of Digital Imaging, 36, 2148 - 2163 (2023), IF: 4.903.
36. Gupta, N.; Anand, S.; Joshi, T.; Kumar, D.; Ramteke, M.; Kodamana, H.; Process Control of mAb Production using Multi-Actor Proximal Policy Optimization. Digital Chemical Engineering, 8, 100108 (2023), IF: 3.000.
35. Wolday, A. K.; Ramteke, M.; Optimization of Methanol Distillation using GA and Neural Network Hybrid. Materials and Manufacturing Processes, 38, 1911 - 1921 (2023), IF: 3.046.
34. Agrawal, A.; Bakshi, B. R.; Kodamana, H.; Ramteke, M.; Renewables Integrated Energy Systems can Provide Electricity at Lower Cost with Less Environmental and Social Damage. ACS Sustainable Chemistry & Engineering, 10, 13390 - 13401 (2022), IF: 9.224.
33. Kumar, A.; Iyer, J.; Jalid, F.; Ramteke, M.; Khan, T. S.; Haider, M. A.; Machine Learning Enabled Screening of Single Atom Alloys: Predicting Reactivity Trend for Ethanol Dehydrogenation. ChemCatChem, 14, e202101481 (2022), IF: 5.686.
32. Kumar, D.; Gangwar, N.; Rathore, A. S.; Ramteke, M.; Multi-objective Optimization of Monoclonal Antibody Production in Bioreactor. Chemical Engineering and Processing: Process Intensification, 180, 108720(2022), IF: 4.237.
31. Sharma, R.; Kodamana, H.; Ramteke, M.; Multi-objective Dynamic Optimization of Hybrid Renewable Energy Systems. Chemical Engineering and Processing: Process Intensification, 170, 108663 (2022) IF: 4.237.
30. Agrawal, D.; Sharma, R.; Ramteke, M.; Kodamana, H.; Hierarchical Two-Tier Optimization Framework for the Optimal Operation of a Network of Hybrid Renewable Energy Systems. Chemical Engineering Research and Design, 175, 37-50 (2021), IF: 3.739.
29. Agrawal, A.; Ghune, N.; Prakash, S.; Ramteke, M.; Evolutionary Algorithm Hybridized with Local Search and Intelligent Seeding for solving Multi-Objective Euclidian TSP. Expert Systems with Applications, 181, 115192 (2021), IF: 6.954.
28. Trivedi, V.; Ramteke, M.; Using Following Heroes Operation in Multi-objective Differential Evolution for Fast Convergence. Applied Soft Computing, 104, 107225 (2021), IF: 6.725.
27. Singh, S.; Agrawal, A.; Kodamana, H.; Ramteke, M.; Multi-objective Optimization based Recursive Feature Elimination for Process Monitoring. Neural Processing Letters, 53, 1081-1099 (2021), IF: 2.891.
26. Devi, A.; Niazi, A.; Ramteke, M.; Upadhyayula, S.; Techno-Economic Analysis of Ethanol Production from Lignocellulosic Biomass - A comparison of Fermentation, Thermo Catalytic and Chemocatalytic Technologies. Bioprocess and Biosystems Engineering, 44, 1093-1107 (2021), IF: 3.210.
25. Bayu, F.; Panda, D.; Ramteke, M.; Continuous Time Scheduling of Gasoline Production and Distribution with a Remarkable Formulation Size Reduction using Extended Graphical Genetic Algorithm. Chemical Engineering Research and Design, 164, 385-399 (2020), IF: 3.739.
24. Panda, D.; Bayu, F.; Ramteke, M.; Discrete Time Reactive Scheduling of Gasoline Blending and Product Delivery in presence of Demand and Component Uncertainties using Graphical Genetic Algorithm. Computers & Chemical Engineering, 143, 107100 (2020), IF: 3.845.
23. Bayu, F.; Shaik, M. A.; Ramteke, M.; Scheduling of Crude Oil Refinery Operation with Desalting as a Separate Task. Asia-Pacific Journal of Chemical Engineering, 15(6), e2539 (2020), IF: 1.447.
22. Panda, D.; Ramteke, M.; Dynamic Hybrid Scheduling of Crude Oil using Structure Adapted Genetic Algorithm for Uncertainty of Tank Unavailability. Chemical Engineering Research and Design, 159, 78-91 (2020), IF: 3.739.
21. Sharma, D.; Ramteke, M. In Vitro Identification of the Hamiltonian Cycle Using a Circular Structure Assisted DNA Computer. ACS Combinatorial Science, 22(5), 225-231 (2020), IF: 3.381.
20. Bayu, F.; Panda, D.; Shaik, M. A.; Ramteke, M. Scheduling of Gasoline Blending and Distribution using Graphical Genetic Algorithm. Computers & Chemical Engineering, 133, 106636 (2020), IF: 3.845.
19. Saxena, S.; Khan, T. S.; Jalid, F.; Ramteke, M.; Haider, M. A. In Silico High Throughput Screening of Bimetallic and Single Atom Alloys using Machine Learning and ab Initio Microkinetic Modelling. Journal of Materials Chemistry A, 8, 107-123(2020), IF: 12.732.
18. Trivedi, V.; Varshney, P.; Ramteke, M.; A Simplified Multi-Objective Particle Swarm Optimization Algorithm. Swarm Intelligence, 14, 83-116 (2020), IF: 2.143.
17. Panda, D.; Ramteke, M.; Preventive Crude Oil Scheduling Under Demand Uncertainty Using Structure Adapted Genetic Algorithm. Applied Energy, 235, 68-82 (2019), IF: 9.746.
16. Sharma, D.; Ramteke, M.; A Note on Short-term Scheduling of Multi-grade Polymer Plant using DNA Computing. Chemical Engineering Research and Design, 135, 78-93 (2018), IF: 3.739.
15. Panda, D.; Ramteke, M.; Reactive Scheduling of Crude Oil using Structure Adapted Genetic Algorithm under Multiple Uncertainties. Computers & Chemical Engineering, 116, 333-351 (2018), IF: 3.845.
14. Harode, H.; Ramteke, M.; Axial Dispersion Modeling of Industrial Hydrocracking Unit and its Multiobjective Optimization. Chemical Engineering Research and Design, 121, 57-68 (2017), IF: 3.739.
13. Trivedi, V.; Prakash, S.; Ramteke, M. Optimized On-line Control of MMA Polymerization using Fast Multi-objective DE. Materials and Manufacturing Processes, 32, 1144-1151 (2017), IF: 3.046.
12. Yadav, A.; Ramteke, M.; Pant, H. J.; Roy, S. Monte Carlo Real Coded Genetic Algorithm (MC-RGA) for Radioactive Particle Tracking (RPT) experimentation. AICHE Journal, 63, 2850-2863 (2016), IF: 3.993.
11. Rekha, P.; Muhammad, R.; Sharma, V.; Ramteke, M.; Mohanty, P. Unprecedented Adsorptive Removal of Cr2O72- and Methyl Orange by Using Low Surface Area Organosillica. Journal of Materials Chemistry A, 4, 17866-17874 (2016), IF: 12.732.
10. Ramteke, M.; Trivedi, V.; Ghune, N. Simulated Binary Jumping Gene: A Step towards Enhancing the Performance of Real-coded Genetic Algorithm. Information Sciences, 325, 429-454 (2015), IF: 6.795.
9. Ghosh, K.; Ramteke, M.; Srinivasan, R. Optimal Variable Selection for Effective Statistical Process Monitoring. Computers & Chemical Engineering, 60, 260-276 (2014), IF: 3.845.
8. Ramteke, M.; Srinivasan, R. Large-Scale Refinery Crude Oil Scheduling by Integrating Graph Representation and Genetic Algorithm. Industrial & Engineering Chemistry Research, 51, 5256-5272 (2012), IF: 3.720.
7. Ramteke, M.; Srinivasan, R. Novel Genetic Algorithm for Short-term Scheduling of Sequence Dependent Changeovers in Multiproduct Polymer Plants. Computers & Chemical Engineering, 35, 2945-2959 (2011), IF: 3.845.
6. Ramteke, M.; Gupta, S. K. Kinetic Modeling and Reactor Simulation and Optimization of Industrially Important Polymerization Processes: a Perspective, IJCRE, 9, 1-54 (2011), IF: 1.510.
5. Ramteke, M.; Gupta, S. K. Biomimicking Altruistic Behavior of Honey Bees in Multi-objective Genetic Algorithm, Industrial & Engineering Chemistry Research, 48, 9671-9685 (2009), IF: 3.720.
4. Ramteke, M.; Gupta, S. K. A Biomimetic Adaptation of Evolutionary Algorithm, NSGA-II-aJG, Using Biogenetic Law of Embryology for Intelligent Optimization, Industrial & Engineering Chemistry Research, 48, 8054-8067 (2009), IF: 3.720.
3. Ramteke, M.; Gupta, S. K. Bio-mimetic Adaptations of Genetic Algorithm (GA) and Simulated Annealing (SA) for the Robust Multi-Objective Optimization (MOO) of an Industrial Nylon-6 Reactor. Materials and Manufacturing Processes, 24 (1), 38-46 (2009), IF: 3.046.
2. Ramteke, M.; Gupta, S. K. Multi-objective Optimization of an Industrial Nylon-6 Semi Batch Reactor Using the a-Jumping Gene Adaptations of Genetic Algorithm and Simulated Annealing. Polymer Engineering Science, 48(11), 2198-2215 (2008), IF: 2.428.
1. Ramteke, M.; Gupta, S. K. Polymerizations in the Presence of Vaporization: Experimental Results on Nylon-6. Industrial & Engineering Chemistry Research, 47(23), 9061-9071 (2008), IF: 3.720.
1. Ramteke, M.; Saraf, D. N.; Gupta, S. K. "Optimization for Engineers", New Age International, 350 pages (2021).
6. Sharma, D.; Ramteke, M. DNA Computing based Big Data Storage, in "Advances in Computers", Editor: Suyel Namasudra, Elsevier, Accepted (2022).
5. Sharma, D.; Ramteke, M. DNA Computing: Methodologies and Challenges, in "DNA- and RNA-based Computing Systems", Editor: Evgeny Katz, Wiley-VCH, 15-30 (2020).
4. Trivedi, V.; Ramteke, M. Bio-mimetic Adaptations of Genetic Algorithm and their Applications to Chemical Engineering, in "Evolutionary Computation Techniques and Applications", Editor: Ashish M Gujrathi and B. V. Babu, Apple Academic Press, 21-54 (2016).
3. Gupta, S. K.; Ramteke, M. Application of Genetic Algorithm in Chemical Engineering II: Case Studies, in "Recent Advances in Application of Metaheuristics in Process Engineering", Editors: Jayaram Valadi and Patrick Siarry, Springer, 61-87 (2014).
2. Gupta, S. K.; Ramteke, M. Application of Genetic Algorithm in Chemical Engineering I: Methodology, in "Recent Advances in Application of Metaheuristics in Process Engineering", Editors: Jayaram Valadi and Patrick Siarry, Springer, 39-59 (2014).
1. Ramteke, M.; Gupta, S. K. Multi-objective Genetic Algorithm and Simulated Annealing with the Jumping Gene Adaptations, in Multi-Objective Optimization: Techniques and Applications in Chemical Engineering (Advances in Process System Engineering – Vol. 1), Ed., Rangaiah, G. P., World Scientific, Singapore, 2008.
4. Prakash, S.; Trivedi, V.; Ramteke, M. An Elitist Non-dominated Sorting Bat Algorithm NSBAT-II for Multi-objective Optimization of Phthalic anhydride reactor. Int. J. Sys. Assurance Eng. and Management, 7, 299-315 (2016).
3. Trivedi, V.; Ramteke, M. Multi-objective Optimization of Phthalic Anhydride Catalytic Reactor using Genetic Algorithm with Simulated Binary Jumping Genes Operator. Comput. Methods in Material Sci., 15, 111-117 (2015).
2. Ramteke, M.and Srinivasan, R*. Integrating graph-based representation and genetic algorithm for large-scale optimization: refinery crude oil scheduling, 21st European Symposium on Computer Aided Process Engineering, Computer Aided Chemical Engineering, Chalkidiki-Greece, 2011, 567-571.
1. Ghune, N.*, Trivedi, V. and Ramteke, M. Comparison of Adaptive Social Evolution and Genetic Algorithm for Multiobjective DTLZ Toolkit, SocPros, Roorkee, Advances in Intelligent Systems and Computing, 565-576, 2013.
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