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Titlebook: Industry 4.0 Driven Manufacturing Technologies; Ajay Kumar,Parveen Kumar,Yang Liu Book 2024 The Editor(s) (if applicable) and The Author(s

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31#
發(fā)表于 2025-3-26 22:49:52 | 只看該作者
D. Seenivasagam,R. Ananthanarayanan,A. K. Jeevanantham,P. Kumarsub-basin, forming a part of the Vedavati basin and having an area of 958 Sq. Km., covered with granite, gneisses, and schists. Recharge was measured at 20 sites, of which 6 were in schists and the rest in gneisses. Displacement of Tritium tracer peak in the unsaturated Alfisol zone was used for mea
32#
發(fā)表于 2025-3-27 01:41:07 | 只看該作者
Abhishek Agarwal,Parveen Kumar,Ajay Kumar,Ranjan Kumar Ghadai. Casual observations in ephemeral rivers in SWA/Namibia have indicated that variable recharge quantities result from similar flood events. For this reason the Department of Water Affairs initiated a research project to identify and investigate relevant parameters. To achieve these objectives three
33#
發(fā)表于 2025-3-27 08:17:14 | 只看該作者
34#
發(fā)表于 2025-3-27 09:46:28 | 只看該作者
Sourabh Anand,Gayatri,Manoj Kumar Satyarthi,Pushpendra S. Bharti,Ajay Kumar,Sarita Ratheelized in the best possible way. Given this, it is advantageous to make use of the increasing availability and accessibility of combinations of time-series and cross-sectional data in the estimation of economic models. But such data call for a new methodology of estimation and hence for the developme
35#
發(fā)表于 2025-3-27 17:28:27 | 只看該作者
Sunny Diyaley,Shankar Chakraborty,Ajay Kumar,Kanak Kalita to be utilized in the best possible way. Given this, it is advantageous to make use of the increasing availability and accessibility of combinations of time-series and cross-sectional data in the estimation of economic models. But such data call for a new methodology of estimation and hence for the
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發(fā)表于 2025-3-27 21:43:37 | 只看該作者
37#
發(fā)表于 2025-3-27 22:53:54 | 只看該作者
38#
發(fā)表于 2025-3-28 04:36:56 | 只看該作者
39#
發(fā)表于 2025-3-28 07:02:19 | 只看該作者
40#
發(fā)表于 2025-3-28 11:26:52 | 只看該作者
Exploring the Challenges of Integrating Lean Green Practices in Industry 4.0 Manufacturing Framewornitiatives. Lack of motivation surfaced as the most salient barrier, significantly impacting operational efficacy. These findings underscore the critical importance of addressing motivational factors to propel sustainable manufacturing practices amidst Industry 4.0 advancements.
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