2024
Sawarkar Ankush, Shrimankar D., and Singh L. (2024). “Bamboo Plant Classification Using Deep Transfer Learning with a Majority Multiclass Voting Algorithm" In: Applied Sciences, MDPI [SCIE, IF 3.5 ] https://doi.org/10.3390/app14031023
Mahule A. , Sawarkar Ankush , Pakle G., and Singh. L. (2024). “AquaBamboo data-driven suggested system for water management and sustainable growth of bamboo: A review" In: Advances in Bamboo Science, Elsevier [Scopus] https://doi.org/10.1016/j.bamboo.2024.100072
Manish Kumar, Sawarkar Ankush and Nanthi Bolan (2024). “A review on value-addition to plastic waste towards achieving a circular economy" In: Science of The Total Environment, Elsevier [SCIE, IF 9.8 ] https://doi.org/10.1016/j.scitotenv.2024.171106
2023
Sawarkar Ankush, Shrimankar D., and Singh L. (2023). “Bamboos as a cultivated medicinal grass for industries: A systematic review " In: Industrial Crops and Products, Elsevier [SCIE, IF 6.8 ] https://doi.org/10.1016/j.indcrop.2023.117210
Santosh Kumar Sahu and Sawarkar Ankush. (2023). “Analysis of Transfers Learning Techniques for Early Detection and Grading of Diabetic Retinopathy on Retinal Images”. In: ICACTA2023, India: IEEE (Scoups) https://doi.org/10.1109/ICACTA58201.2023.10392325
Sawarkar Ankush, Shrimankar, D., Bokde, N., Singh, L. (2023). “Commercial Clustering of Indian Bamboo Species Using Machine Learning Techniques”. In: PCEMS 2023, VNIT Nagpur, India: IEEE (Scoups). https://doi.org/10.1109/PCEMS58491.2023.10136094
Sawarkar Ankush, Shrimankar, D., Agrahari, A., Bokde, N., Singh, L. (2023). “Commercial Indian Bamboo species classification on matK DNA barcode sequences using Machine Learning techniques with K-mer”. In: ICE23 2023, NIT Uttarakhand, India: IEEE (Scoups) https://doi.org/10.1109/IC2E357697.2023.10262781.
Kumar, H., Prasad, K., Kumar, Munesh, Sawarkar, A.D., Kumar, Manish, Singh, L., 2023. Chapter 3 - Pesticide pollution in freshwater: Occurrence, distribution, impact, and remediation, In: Current Developments in Biotechnology and Bioengineering, Elsevier, pp. 53–98. DOI: 10.1016/B978-0-323-91900-5.00010-2
2022
Durge, R.A., Shrimankar, D.D., Sawarkar, A.D., (2022). "Heuristic Analysis of Genomic Sequence Processing Models for High Efficiency Prediction: A Statistical Perspective". In: Current. Genomics, Bentham Science, [SCIE, IF 3.528 ]. DOI:10.2174/1389202923666220927105311
Kumar, M., Sridharan, S., Sawarkar, A.D., Shakeel, A., Anerao, P., Mannina, G., Sharma, P., Pandey, A., 2023. Current research trends on emerging contaminants pharmaceutical and personal care products (PPCPs): A comprehensive review. In: Science of The Total Environment. 859, 160031.Elsevier, [SCIE]. DOI: 10.1016/j.scitotenv.2022.160031
Prasad, K., Kumar, H., Singh, L., Sawarkar, A.D., Kumar, M., Kumar, S., (2022). "28 - Phytocapping technology for sustainable management of contaminated sites: case studies, challenges, and future prospects", In: Phytoremediation Technology for the Removal of Heavy Metals and Other Contaminants from Soil and Water, Elsevier, [SCIE] DOI:10.1016/B978-0-323-85763-5.00041-6
2021
Sawarkar. A. and D. Shrimankar (2021). “TraditionalSystem Versus DNA Barcoding in Identification of Bamboo Species: A Systematic Review" In: Molecular Biotechnology, Springer Nature [SCIE, IF 2.86 ] DOI:10.1007/s12033-021-00337-4
Kumar, M., Bolan, N.S., Hoang, S.A., Sawarkar, A.D., Jasemizad, T., Gao, B., Keerthanan, S., Padhye, L.P., Singh, L., Kumar, S., Vithanage, M., Li, Y., Zhang, M., Kirkham, M.B., Vinu, A., Rinklebe, J., (2021). "Remediation of soils and sediments polluted with polycyclic aromatic hydrocarbons: To immobilize, mobilize, or degrade?" Journal of Hazardous Materials, Elsevier [SCIE, IF 14.24]. DOI:10.1016/j.jhazmat.2021.126534
Fuke, P., T, M.M., Kumar, M., Sawarkar, A.D., Pandey, A., Singh, L., (2021). "Role of microbial diversity to influence the growth and environmental remediation capacity of bamboo: A review". In: Industrial Crop and Products, Elsevier. [SCIE, IF 6.449]. 167, 113567. DOI:10.1016/j.indcrop.2021.113567
Kumar, M., Dutta, S., You, S., Luo, G., Zhang, S., Show, P.L., Sawarkar, A.D., Singh, L., Tsang, D.C.W., (2021). A critical review on biochar for enhancing biogas production from anaerobic digestion of food waste and sludge". In: Journal of Cleaner Production, Elsevier [SCIE, 11.072]. 127143. DOI:10.1016/j.jclepro.2021.127143
2020
Sawarkar. A. and D. Shrimankar (2020). “Commercial clustering of sustainable bamboo species in India" In: Industrial Crop and Products, Elsevier. [SCIE, IF 6.449] DOI:10.1016/j.indcrop.2020.112693
2015
Sawarkar., A. and A. Pande and S.Singh (2015). “Innovation for Crop Qualify Certification using ICT”. In: AGRINETS Workshop COMSNETS, 2015.Banglore, India: IEEE. DOI:10.1109/COMSNETS.2015.7098725
2014
Sawarkar, A.D., Waghmare, J., (2014). "Query Processing and Query Optimization in Distributed Database: A Survey", In: International Conference in on Computer Science, Electronics and Communication Engineering 2014. ICCECE, Pune , India, pp. 1–7.
Hanwate, T., Vaidya, M., Sawarkar, A., (2014). "Survey on: Integrated platform for Development Rural Agriculture in India using ICT platform". Int. J. Comput. Sci. Inf. Technol. 5, 2030–2032.
PROJECT IN PHD RESEARCH
Bamboo species classification applying EDA & ML Classify the 27 commercial bamboo species on 10 different features with 9000 tuples by applying EDA and different classification algorithm to get the more prominent result for predicting the next commercial bamboo species.
Commercial Bamboo species classification Using Deep Learning on image data (Ongoing) Creating a Deep learning classification Model to classify the bamboo images using transfer learning. Apply the computer vision and augmentation techniques for enhancing the result. For predicting the result, I am using Alexnet, Resnet, Vgg16.