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  1. 4961

    Experimental and Thermal Investigation on Powder Mixed EDM Using FEM and Artificial Neural Networks by Venkata N. Raju Jampana, P. S. V. Ramana Rao, A. Sampathkumar

    Published 2021-01-01
    “…In addition, finite element method (FEM) is utilized for thermal analysis on EDM of stainless-steel 630 (SS630) grade. …”
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    Composite Bayesian Optimization in function spaces using NEON—Neural Epistemic Operator Networks by Leonardo Ferreira Guilhoto, Paris Perdikaris

    Published 2024-11-01
    “…In this paper, we introduce Neon (Neural Epistemic Operator Networks), an architecture for generating predictions with uncertainty using a single operator network backbone, which presents orders of magnitude less trainable parameters than deep ensembles of comparable performance. We showcase the utility of this method for sequential decision-making by examining the problem of composite Bayesian Optimization (BO), where we aim to optimize a function $$f=g\circ h$$ f = g ∘ h , where $$h:X\rightarrow C(\mathscr {Y},{\mathbb {R}}^{d_s})$$ h : X → C ( Y , R d s ) is an unknown map which outputs elements of a function space, and $$g: C(\mathscr {Y},{\mathbb {R}}^{d_s})\rightarrow {\mathbb {R}}$$ g : C ( Y , R d s ) → R is a known and cheap-to-compute functional. …”
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    Experimental Study on Water-Jet Shock Microforming Process Using Different Incident Pressures by James Kwasi Quaisie, Wang Yun, Xu Zhenying, Yu Chao, Fuzhu Li, Philip Baidoo, Joseph Sekyi-Ansah, Emmanuel Asamoah

    Published 2020-01-01
    “…In this experiment, a KEYENCE VHX-1000C digital microscope, confocal laser-scanning microscope (Axio CSM 700), and micro-Vickers hardness tester were utilized to observe the forming depth, surface quality, thickness distribution, and section hardness distributions under different incident pressures. …”
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  17. 4977

    Assessing water status in rice plants in water-deficient environments using thermal imaging by Chin-Ying Yang, Yan-Ci Zhang, Ya-Ling Hou

    Published 2025-01-01
    “…Conclusion Our study demonstrate that infrared thermography can effectively detect early signs of water stress in rice, aiding farmers in irrigation planning and enabling precise management and optimal utilization of water resources.…”
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