Mining large-scale data using AI-integrated lattice and poset structures
Priti C. Golarpgolar@stvincentngp.edu.inDepartment of Information TechnologySt. Vincent Pallotti College of Engineering and TechnologyNagpur, Maharashtra, 441108, IndiaView full profile → , *Archana R. PanhalkarCorresponding authorarchana10bhosale@rediffmail.comDepartment of Artificial Intelligence & Data ScienceAmrutvahini College of EngineeringSangamner, Maharashtra, 422605, IndiaView full profile → , Leena Kshitij Gautamlkgautam@sipnaengg.ac.inDepartment of Information TechnologySipna College of Engineering & TechnologyAmravati, Maharashtra, 444701, IndiaView full profile → , Anorgul Ashirovaashirova_anorgul@mamunedu.uzDepartment of General Professional SciencesMamun UniversityKhiva, Uzbekistan0000-0002-3399-7527View full profile → , Supriya Gupta Banisupriya17gupta@gmail.comDepartment of Computer Science & Engineering and Emerging TechnologiesRamdeobaba UniversityNagpur, Maharashtra, 440013, IndiaView full profile → , K.D.V. Prasadkdv.prasad@sibmhyd.edu.inSymbiosis International (Deemed University)Symbiosis Institute of Business Management HyderabadHyderabad, Telangana, 509217, IndiaView full profile →
* Corresponding author · click or hover a name for details
- Received:
- 07 May 2025
- Published Online:
- 31 Dec 2025
- Article type:
- Research Article
- Language:
- EN
- Article no.:
- JDMSC-2510
- Pages:
- 671–680
Abstract
Keywords
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References
[1] Y. Zhang, Z. Yan, M. Shen, Q. Jiang, W. Wang, Y. Sang, and B. Hao, “Study on the thermal control performance of lightweight minimal surface lattice structures for aerospace applications,” Appl. Therm. Eng., vol. 261, pp. 125110 (2025).
[2] T. Zhang, X. Chen, C. Guo, and N. Dai, “Toughness-improving design of lattice sandwich structures,” Mater. Des., vol. 226, pp. 111600 (2023).
[3] M. Jia, N. Dai, T. Wang, Q. Cao, L. Yan, and H. Dai, “A compact quasi-zero stiffness metamaterial for energy absorption and impact protection,” Thin-Walled Struct., vol. 205, pp. 112360 (2024).
[4] G. Oliveri and J. T. Overvelde, “Inverse design of mechanical metamaterials that undergo buckling,” Adv. Funct. Mater., vol. 30, pp. 1909033 (2020).
[5] X. Yu, J. Zhou, H. Liang, Z. Jiang, and L. Wu, “Mechanical metamaterials associated with stiffness, rigidity and compressibility: A brief review,” Prog. Mater. Sci., vol. 94, pp. 114–173 (2018).
[6] A. Challapalli, D. Patel, and G. Li, “Inverse machine learning framework for optimizing lightweight metamaterials,” Mater. Des., vol. 208, pp. 109937 (2021).
[7] V. Mohanavel, K. A. Ali, S. Prasath, T. Sathish, and M. Ravichandran, “Microstructural and tribological characteristics of AA6351/Si3N4 composites manufactured by stir casting,” J. Mater. Res. Technol., vol. 9, pp. 14662–14672 (2020).
[8] R. S. Kale, J. Hase, S. Deshmukh, S. N. Ajani, P. K. Agrawal, and C. S. Khandelwal, “Ensuring data confidentiality and integrity in edge computing environments: A security and privacy perspective,” Journal of Discrete Mathematical Sciences and Cryptography., vol. 27, no. 2-A, pp. 421–430 (2024).
[9] G. D. Bird, S. E. Gorrell, and J. L. Salmon, “Dimensionality-reduction-based surrogate models for real-time design space exploration of a jet engine compressor blade,” Aerosp. Sci. Technol., vol. 118, pp. 107077 (2021).
[10] Z. Zhu, W. Ning, X. Niu, Q. Wang, R. Shi, and Y. Zhao, “Designing high elastic modulus magnesium-based composite materials via machine learning approach,” Mater. Today Commun., vol. 37, pp. 107249 (2023).
[11] P. Thakre, R. Jangid, R. Batho, D. Bhadke, T. Meshram, and K. Tonpe, “A review fabrication of self-inflating tires and pressure monitoring systems,” Int. J. Theor. Appl. Res. Mech. Eng. (IJTARME), vol. 14, no. 1, pp. 1–5 (May 2025).
[12] N. Khan, H. Asad, S. Khan, and A. Riccio, “Towards defect-free lattice structures in additive manufacturing: A holistic review of machine learning advancements,” J. Manuf. Process., vol. 144, pp. 1–53 (2025).
