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Titlebook: Intelligent Systems, Technologies and Applications; Proceedings of Fifth Sabu M. Thampi,Ljiljana Trajkovic,Deepak Mishra Conference proceed

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31#
發(fā)表于 2025-3-27 17:48:00 | 只看該作者
Application of Coverage Path Planning Algorithm for Milling Operations,gion that is required to be removed, without any gaps. We demonstrate the possibility of using mobile robot coverage path planning (CPP) algorithms for such applications. In the place of the robot footprint size that is used in a mobile robot CPP algorithm, here we use the size (diameter) of the too
32#
發(fā)表于 2025-3-28 00:05:47 | 只看該作者
33#
發(fā)表于 2025-3-28 04:06:18 | 只看該作者
A Real-Time IoT-Based Nitrate Sensing System Using Interdigital Transducer,quality. Being colorless and odorless it is difficult to find nitrate with human senses. An Internet of Things (IoT)-based smart nitrate sensor design is presented here. The portable system makes use of the impedance change of interdigital transducers (IDT) with nitrate concentration in solution. Th
34#
發(fā)表于 2025-3-28 08:14:03 | 只看該作者
Interpreting Microgrid Reliability Using RBD-Quantitative Approaches,mpasses probabilistic scrutiny of works accomplished by a variety of large-scale microgrid systems following qualitative and quantitative analysis. Generally, the qualitative approach is in compliance with the best practices of maintenance and reliability activities. Using reliability block diagram
35#
發(fā)表于 2025-3-28 11:36:35 | 只看該作者
36#
發(fā)表于 2025-3-28 16:03:23 | 只看該作者
37#
發(fā)表于 2025-3-28 21:09:53 | 只看該作者
2194-5357 019, it covers a variety of topics, such as knowledge discovery, data mining, pattern recognition, signal processing, intelligent image processing, artificial vision, ad hoc and wireless sensor networks, business intelligence and big data analytics..978-981-15-3913-8978-981-15-3914-5Series ISSN 2194-5357 Series E-ISSN 2194-5365
38#
發(fā)表于 2025-3-29 01:27:34 | 只看該作者
39#
發(fā)表于 2025-3-29 05:27:57 | 只看該作者
40#
發(fā)表于 2025-3-29 07:49:18 | 只看該作者
,Soft Computing Approach to Determine Students’ Level of Comprehension Using a Mamdani Fuzzy System,proved, before taking an examination. Using a simple questionnaire, to obtain inputs from the student, and a Mamdani fuzzy inference system (FIS) to process the inputs, the proposed model determines the level of understanding of a student, based on a three-level comprehension guide.
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