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All issues Volume 552 (2024) E3S Web Conf., 552 (2024) 01136 References
Open Access
Issue
E3S Web Conf.
Volume 552, 2024
16th International Conference on Materials Processing and Characterization (ICMPC 2024)
Article Number 01136
Number of page(s) 10
DOI https://doi.org/10.1051/e3sconf/202455201136
Published online 23 July 2024
  1. Yogananda, H.S., Basavaraj, R.B., Darshan, G.P., Prasad, B.D., Naik, R., Sharma, S.C., & Nagabhushana, H. (2018). New design of highly sensitive and selective MoO3: Eu3+ micro-rods: Probing of latent fingerprints visualization and anti-counterfeiting applications. Journal of colloid and interface science, 528, 443-456. [CrossRef] [PubMed] [Google Scholar]
  2. Xie, Qiangqiang, Hongxun Hui, Yi Ding, Chengjin Ye, Zhenzhi Lin, Peng Wang, Yonghua Song, Ling Ji, and Rong Chen. “Use of demand response for voltage regulation in power distribution systems with flexible resources.” IET Generation, Transmission & Distribution 14, no. 5 (2020): 883-892. [CrossRef] [Google Scholar]
  3. Wang, Licheng, Ruifeng Yan, and Tapan Kumar Saha. “Voltage regulation challenges with unbalanced PV integration in low voltage distribution systems and the corresponding solution.” Applied Energy 256 (2019): 113927. [CrossRef] [Google Scholar]
  4. Vijayakumar, Y., Nagaraju, P., Yaragani, V., Parne, S.R., Awwad, N.S., & Reddy, M.R. (2020). Nanostructured Al and Fe co-doped ZnO thin films for enhanced ammonia detection. Physica B: Condensed Matter, 581, 411976. [CrossRef] [Google Scholar]
  5. Vandana, C.P., & Chikkamannur, A.A. (2021). Feature selection: An empirical study. International Journal of Engineering Trends and Technology, 69(2), 165-170. [Google Scholar]
  6. Telukunta, Vishnuvardhan, Janmejaya Pradhan, Anubha Agrawal, Manohar Singh, and Sankighatta Garudachar Srivani. “Protection challenges under bulk penetration of renewable energy resources in power systems: A review.” CSEE journal of power and energy systems 3, no. 4 (2017): 365-379. [CrossRef] [Google Scholar]
  7. Telagam, N., Kandasamy, N., & Nanjundan, M. (2017). Smart sensor network based high quality air pollution monitoring system using labview. International Journal of Online Engineering (iJOE), 13(08), 79-87. [CrossRef] [Google Scholar]
  8. Parashuram, L., Sreenivasa, S., Akshatha, S., & Udayakumar, V. (2019). A non-enzymatic electrochemical sensor based on ZrO2: Cu (I) nanosphere modified carbon paste electrode for electro-catalytic oxidative detection of glucose in raw Citrus aurantium var. sinensis. Food chemistry, 300, 125178. [CrossRef] [Google Scholar]
  9. Awasthi, A., Saxena, K.K., & Dwivedi, R.K. (2021). An investigation on classification and characterization of bio materials and additive manufacturing techniques for bioimplants. Materials Today: Proceedings, 44, 2061-2068. [CrossRef] [Google Scholar]
  10. Suganthi, S.T., Vinayagam, A., Veerasamy, V., Deepa, A., Abouhawwash, M., & Thirumeni, M. (2021). Detection and classification of multiple power quality disturbances in Microgrid network using probabilistic based intelligent classifier. Sustainable Energy Technologies and Assessments, 47, 101470. [CrossRef] [Google Scholar]
  11. Sridhara, V., Gowrishankar, B.S. Snehalatha, & Satapathy, L.N. (2009). Nanofluids— a new promising fluid for cooling. Transactions of the Indian Ceramic Society, 68(1), 117. [CrossRef] [Google Scholar]
  12. Sinsel, Simon R., Rhea L. Riemke, and Volker H. Hoffmann. “Challenges and solution technologies for the integration of variable renewable energy sources—a review.” Renewable energy 145 (2020): 2271-2285. [CrossRef] [Google Scholar]
  13. Ramu, G. (2018). A secure cloud framework to share EHRs using modified CP-ABE and the attribute bloom filter. Education and Information Technologies, 23(5), 2213-2233. [CrossRef] [Google Scholar]
  14. Ram, J.P., Pillai, D.S., Ghias, A.M., & Rajasekar, N. (2020). Performance enhancement of solar PV systems applying P&O assisted Flower Pollination Algorithm (FPA). Solar Energy, 199, 214-229. [CrossRef] [Google Scholar]
  15. Raghu, M.S., Kumar, C.P., Prashanth, M.K., Kumar, K.Y., Prathibha, B.S., Kanthimathi, G., & & Osman, S.M. (2021). Novel 1, 3, 5-triazine-based pyrazole derivatives as potential antitumor agents and EFGR kinase inhibitors: Synthesis, cytotoxicity, DNA binding, molecular docking and DFT studies. New Journal of Chemistry, 45(31), 13909-13924. [CrossRef] [Google Scholar]
  16. Awasthi, A., Saxena, K.K., Dwivedi, R.K., Buddhi, D., & Mohammed, K.A. (2023). Design and analysis of ECAP Processing for Al6061 Alloy: a microstructure and mechanical property study. International Journal on Interactive Design and Manufacturing (IJIDeM), 17(5), 2309-2321. [CrossRef] [Google Scholar]
  17. Prakash, S., Somiya, G., Elavarasan, N., Subashini, K., Kanaga, S., Dhandapani, R., & & Sujatha, V. (2021). Synthesis and characterization of novel bioactive azo compounds fused with benzothiazole and their versatile biological applications. Journal of Molecular Structure, 1224, 129016. [CrossRef] [Google Scholar]
  18. Cheruvu, A., Radhakrishna, V., & Rajasekhar, N. (2017, May). Using normal distribution to retrieve temporal associations by Euclidean distance. In 2017 International Conference on Engineering & MIS (ICEMIS) (pp. 1–3). IEEE. [Google Scholar]
  19. Awasthi, A., Saxena, K.K., & Arun, V. (2020). Sustainability and survivability in manufacturing sector. In Modern Manufacturing Processes (pp. 205-219). Woodhead Publishing. [CrossRef] [Google Scholar]
  20. Padmaja, B., Prasad, V.R., & Sunitha, K.V.N. (2018). A machine learning approach for stress detection using a wireless physical activity tracker. International Journal of Machine Learning and Computing, 8(1), 33-38. [CrossRef] [Google Scholar]
  21. Malagavelli, V., Angadi, S., Prasad, J.S.R., & Joshi, S. (2018). Influence of metakaolin in concrete as partial replacement of cement. Int J Civil Eng Technol, 9(7), 105-111. [Google Scholar]
  22. Mahmud, Nasif, and A. Zahedi. “Review of control strategies for voltage regulation of the smart distribution network with high penetration of renewable distributed generation.” Renewable and Sustainable Energy Reviews 64 (2016): 582-595. [CrossRef] [Google Scholar]
  23. Liang, Xiaodong. “Emerging power quality challenges due to integration of renewable energy sources.” IEEE Transactions on Industry Applications 53, no. 2 (2016): 855-866. [Google Scholar]
  24. Kumar, K.Y., Saini, H., Pandiarajan, D., Prashanth, M.K., Parashuram, L., & Raghu, M.S. (2020). Controllable synthesis of TiO2 chemically bonded graphene for photocatalytic hydrogen evolution and dye degradation. Catalysis Today, 340, 170-177. [CrossRef] [Google Scholar]
  25. Kumar, K.U., Babu, P., Basavapoornima, C., Praveena, R., Rani, D.S., & Jayasankar, C.K. (2022). Spectroscopic properties of Nd3+-doped boro-bismuth glasses for laser applications. Physica B: Condensed Matter, 646, 414327. [CrossRef] [Google Scholar]
  26. Awasthi, A., Saxena, K.K., & Arun, V. (2021). Sustainable and smart metal forming manufacturing process. Materials Today: Proceedings, 44, 2069-2079. [CrossRef] [Google Scholar]
  27. Kroposki, Benjamin, Brian Johnson, Yingchen Zhang, VahanGevorgian, Paul Denholm, Bri-Mathias Hodge, and Bryan Hannegan. “Achieving a 100% renewable grid: Operating electric power systems with extremely high levels of variable renewable energy.” IEEE Power and energy magazine 15, no. 2 (2017): 61-73 [CrossRef] [Google Scholar]
  28. Karimi, Mazaher, H. Mokhlis, Kanedra Naidu, Sohel Uddin, and A.H. Abu Bakar. “Photovoltaic penetration issues and impacts in distribution network-A review.” Renewable and Sustainable Energy Reviews 53 (2016): 594-605. [CrossRef] [Google Scholar]
  29. Ali, MdSawkat, Md Mejbaul Haque, and Peter Wolfs. “A review of topological ordering based voltage rise mitigation methods for LV distribution networks with high levels of photovoltaic penetration.” Renewable and Sustainable Energy Reviews 103 (2019): 463-476. [CrossRef] [Google Scholar]
  30. Adefarati, Temitope, and Ramesh C. Bansal. “Integration of renewable distributed generators into the distribution system: a review.” IET Renewable Power Generation 10, no. 7 (2016): 873-884. [CrossRef] [Google Scholar]
  31. Abdmouleh, Zeineb, Adel Gastli, Lazhar Ben-Brahim, Mohamed Haouari, and Nasser Ahmed Al-Emadi. “Review of optimization techniques applied for the integration of distributed generation from renewable energy sources.” Renewable Energy 113 (2017): 266-280. [CrossRef] [Google Scholar]
  32. Kalyani, G., Janakiramaiah, B., Karuna, A., & Prasad, L.N. (2023). Diabetic retinopathy detection and classification using capsule networks. Complex & Intelligent Systems, 9(3), 2651-2664. [CrossRef] [Google Scholar]
  33. Kalair, Anam, Naeem Abas, Muhammad ShoaibSaleem, Ali Raza Kalair, and Nasrullah Khan. “Role of energy storage systems in energy transition from fossil fuels to renewables.” Energy Storage 3, no. 1 (2021): e135. [CrossRef] [Google Scholar]
  34. Jayabal, R., Subramani, S., Dillikannan, D., Devarajan, Y., Thangavelu, L., Nedunchezhiyan, M., & & De Poures, M.V. (2022). Multi-objective optimization of performance and emission characteristics of a CRDI diesel engine fueled with sapota methyl ester/diesel blends. Energy, 250, 123709. [CrossRef] [Google Scholar]
  35. Impram, Semich, Secil VarbakNese, and Bülent Oral. “Challenges of renewable energy penetration on power system flexibility: A survey.” Energy Strategy Reviews 31 (2020): 100539. [CrossRef] [Google Scholar]
  36. Ehsan, Ali, and Qiang Yang. “Optimal integration and planning of renewable distributed generation in the power distribution networks: A review of analytical techniques.” Applied Energy 210 (2018): 44-59. [CrossRef] [Google Scholar]
  37. de Quevedo PilarMeneses. Javier Contreras, Marcos J. Rider, and Javad Allahdadian. “Contingency assessment and network reconfiguration in distribution grids including wind power and energy storage.” IEEE Transactions on Sustainable Energy 6, no. 4 (2015): 1524-1533. [CrossRef] [Google Scholar]
  38. Chaudhury, S., Krishna, A.N., Gupta, S., Sankaran, K.S., Khan, S., Sau, K., & & Sammy, F. (2022). Effective image processing and segmentation-based machine learning techniques for diagnosis of breast cancer. Computational and Mathematical Methods in Medicine, 2022. [Google Scholar]
  39. Bhukya, L., Kedika, N.R., & Salkuti, S.R. (2022). Enhanced maximum power point techniques for solar photovoltaic system under uniform insolation and partial shading conditions: a review. Algorithms, 15(10), 365. [CrossRef] [Google Scholar]

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