Zobrazeno 1 - 10
of 3 434
pro vyhledávání: '"Malik, A. K."'
Autor:
Kumar, Abhishek, Kalouni, Chirag, Posti, Raghvendra, Malik, Vivek K, Tiwari, Dhananjay, Roy, Debangsu
Magnetic nanotubes have garnered immense attention for their potential in high-density magnetic memory, owing to their stable flux closure configuration and fast, reproducible reversal processes. However, characterizing their magnetic configuration t
Externí odkaz:
http://arxiv.org/abs/2408.09542
Thermoelectric materials operating at cryogenic temperatures are in high demand for efficient cooling and power generation in applications ranging from superconductors to quantum computing. The narrow band-gap semiconductor FeSb2, known for its colos
Externí odkaz:
http://arxiv.org/abs/2311.00326
Publikováno v:
IEEE Transactions on Neural Networks and Learning Systems, 2024
The domain of machine learning is confronted with a crucial research area known as class imbalance learning, which presents considerable hurdles in precise classification of minority classes. This issue can result in biased models where the majority
Externí odkaz:
http://arxiv.org/abs/2307.07881
Publikováno v:
IEEE Transactions on Fuzzy Systems, 2024
In the realm of data classification, broad learning system (BLS) has proven to be a potent tool that utilizes a layer-by-layer feed-forward neural network. However, the traditional BLS treats all samples as equally significant, which makes it less ro
Externí odkaz:
http://arxiv.org/abs/2307.08713
Autor:
Malick, Sudip, Sarkar, A. B., Laha, Antu, Anas, M., Malik, V. K., Agarwal, Amit, Hossain, Z., Nayak, J.
Publikováno v:
Phys. Rev. B 106, 075105 (2022)
We explore the electronic and topological properties of single crystal SrAl$_2$Si$_2$ using magnetotransport experiments in conjunction with first-principle calculations. We find that the temperature-dependent resistivity shows a pronounced peak near
Externí odkaz:
http://arxiv.org/abs/2208.02060
Publikováno v:
Journal of Physics: Condensed Matter, 34, (2022), 435801
Combining experimental investigations and first-principles DFT calculations, we report physical and magnetic properties of Gd-substituted Y$_2$CoMnO$_6$ double perovskite, which are strongly influenced by antisite-disorder-driven spin configurations.
Externí odkaz:
http://arxiv.org/abs/2205.09793
Autor:
Shang, Zhenguo, Wang, Hui, Zhang, Di, Xu, Jiaxin, Chen, Wei, Zhang, Yingze, Malik, Atul K., Hou, Zhiyong
Publikováno v:
In World Neurosurgery October 2024 190:e595-e603
Publikováno v:
In Nuclear Physics, Section A January 2025 1053
Neural networks have been successfully employed in various domains such as classification, regression and clustering, etc. Generally, the back propagation (BP) based iterative approaches are used to train the neural networks, however, it results in t
Externí odkaz:
http://arxiv.org/abs/2203.11316
Publikováno v:
In Journal of Empirical Finance December 2024 79