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Titlebook: Emerging Trends in Mechanical Engineering; Select Proceedings o L. M. Das,Naveen Kumar,Pramod Bhatia Conference proceedings 2021 The Editor

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41#
發(fā)表于 2025-3-28 15:13:53 | 只看該作者
42#
發(fā)表于 2025-3-28 22:04:32 | 只看該作者
Algorithm for Translation and Rotation Motions of Gantry Robotare compared with prediction following well-known D-H parameter. A good agreement on the end positions between the test and prediction are illustrated. Arduino code employed to control the real-time execution of the gantry robot movement in a semi-automatic mode is provided for the designer.
43#
發(fā)表于 2025-3-29 01:28:24 | 只看該作者
Evaluation of the Female for Infertility,ed in SciLab using literature data and found capable to show more accurate results. Feed forward back propagation algorithm is used in this ANN model to minimize the error and to update the weights. Sigmoid activation function is used for hidden layer neurons and output layer neuron. ANN is found as best predictor for journal bearing analysis.
44#
發(fā)表于 2025-3-29 06:32:45 | 只看該作者
https://doi.org/10.1007/978-3-7091-4726-9sses could be specified. The suggested algorithm is optimized for minimal machining time and enhanced surface roughness. The programming of the new interpolation scheme, using circular and linear segments, must be applied to the specific part.
45#
發(fā)表于 2025-3-29 09:23:45 | 只看該作者
46#
發(fā)表于 2025-3-29 14:58:18 | 只看該作者
47#
發(fā)表于 2025-3-29 16:33:13 | 只看該作者
Artificial Neural Network Model Development for the Analysis of Maximum Pressure of Hole Entry Journn developing computational approaches to analyse the complex and time-consuming problems. The present paper shows the ANN predictions for maximum pressure of hole entry hybrid journal bearing for different values of non-dimensional load and speed parameters. The present ANN model is trained and test
48#
發(fā)表于 2025-3-29 20:25:52 | 只看該作者
49#
發(fā)表于 2025-3-30 03:47:34 | 只看該作者
Evaluation of Seat to Head Transmissibility at Different Backrest Conditions During Whole Body Vibrath percentile anthropometric data of Indian male population when exposed to whole body vibration. Human model has been subjected to three different back support postures (without back support, vertical back support and inclined back support) at acceleration magnitudes of 0.25, 0.5 and 1.0?m/s. rms.
50#
發(fā)表于 2025-3-30 06:11:44 | 只看該作者
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