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Titlebook: Afro-European Conference for Industrial Advancement; Proceedings of the F Ajith Abraham,Pavel Kr?mer,Vaclav Snasel Conference proceedings 2

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21#
發(fā)表于 2025-3-25 03:50:08 | 只看該作者
Creep Behavior of Thick-Walled Tubes, model which is affected by more influences at the same time. The simulation time can be shortened in an exact ratio to the real time and thus an evaluation and implementation of changes of the model parameters can be performed more quickly.
22#
發(fā)表于 2025-3-25 08:40:20 | 只看該作者
K. Yagi,G. Merckling,H. Warlimontasonable energy sources for the consumer market. The design process involved calculating and optimizing the energy balance across the heat absorber, minimizing heat losses, analyzing heat transfer through the thermoelectric elements, and analyzing the electrical power system.
23#
發(fā)表于 2025-3-25 13:28:32 | 只看該作者
24#
發(fā)表于 2025-3-25 16:21:54 | 只看該作者
25#
發(fā)表于 2025-3-25 21:01:49 | 只看該作者
Design of a Single Stage Thermoelectric Power Generator Module with Specific Application on the Autasonable energy sources for the consumer market. The design process involved calculating and optimizing the energy balance across the heat absorber, minimizing heat losses, analyzing heat transfer through the thermoelectric elements, and analyzing the electrical power system.
26#
發(fā)表于 2025-3-26 00:33:06 | 只看該作者
27#
發(fā)表于 2025-3-26 04:23:55 | 只看該作者
Feature Subset Selection Approach by Gray-Wolf Optimization,ce. In this paper, a classification accuracy-based fitness function is proposed by gray-wolf optimizer to find optimal feature subset. Gray-wolf optimizer is a new evolutionary computation technique which mimics the leadership hierarchy and hunting mechanism of gray wolves in nature. The aim of the
28#
發(fā)表于 2025-3-26 09:36:38 | 只看該作者
Optimization of Wind Direction Distribution Parameters Using Particle Swarm Optimization,on and wind speed are the most important variables for wind energy generation, integration, and management. This work proposes and evaluates a new method for accurate estimation of wind direction distribution parameters utilizing the well-known Particle Swarm Optimization algorithm. It is used to op
29#
發(fā)表于 2025-3-26 14:17:34 | 只看該作者
30#
發(fā)表于 2025-3-26 19:41:52 | 只看該作者
Reliable Data Transmission for Multi-source Multi-sink Wireless Sensor Networks,parameters using a single sensor field/network. This type of WSN, beside its limited resources such as energy limitation like any WSNs are, has unique characteristics for instance network congestion, since multiple sensor nodes can send data to multiple/single sink at the same time. Research works o
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