Tribological analysis—four-ball T-02U apparatus
The results of the seizure resistance of the tested oils, as well as the average values of the wear scar diameter on the balls, are presented in Table 5.
Category: Engineering
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Degradation of anti-wear additives and tribological properties of engine oils at extended oil change intervals in city buses
Table 5 Results of the tests carried out on… -
Redefining IoT networks for improving energy and memory efficiency through compressive sensing paradigm
In this research work first order energy model45 is considered and mathematically expressed as given in the Eqs. 1 and 2 as
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Torque and speed prediction of a brushless direct current motor using nonlinear autoregressive with exogenous inputs and neural network
Simulation of BLDC motor in simulink
Simulation of BLDC motor is carried out in Simulink with a multistep DC input Voltage signal fed to three-phase inverter, which gives phase voltages to the BLDC motor block. The gate signals of inverter are fed…
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Continuous reuse of polyamide 12 in powder bed fusion
Dual-beam laser sintering device
DBLS is an original modification of the standard PBF-LB/P process, in which the polymer preheating step in the process chamber (typically based on the use of heaters) is replaced by irradiation with a second laser…
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Studying the changes in the pressure transmission coefficient of the ultrasonic waves for ferrous and non-ferromagnetic alloys to find some of the most significant mechanical properties
PTC denotes the pressure amplitude of the transmitted wave between two materials. Theuse of PTC is nothing new in mechanical tests25,26, but the use of pure magnesium metal as a constant metal in each test is a different matter from other tests….
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Study on accumulative plastic deformation of cement-fly ash improved subgrade coarse-grained soil under heavy-haul traffic loads and relative prediction based on PSO-ANN
Grey relational analysis of accumulative deformation influencing factors
Grey relational analysis is a method for analyzing the relationships between multiple factors. As the system develops, if the trends of two factors change similarly and have…
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Robust techno-economic optimization of energy hubs under uncertainty using active learning with artificial neural networks
The proposed multi-objective functions can be performed mathematically, ensuring the system’s performance and reliable operation by considering technical and environmental impacts and system constraints. The main objective functions can be…
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CPD-KD: a cooperative perception network for discrepancy feature fusion through knowledge distillation
The cooperative perception network CPD-KD proposed in this work, as illustrated in Fig. 3, focuses on feature fusion for vehicle-infrastructure differences. It primarily consists of a teacher network trained with fused perspective data and a…
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A novel hybrid deep learning approach combining deep feature attention and statistical validation for enhanced thyroid ultrasound segmentation
The section corresponds to multiple experiments conducted in this study, serving as a comprehensive evaluation of the proposed model across various facets of its performance, robustness, and comparison with existing methods.
Experiment 1: dataset…
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Optimized predictive maintenance for streaming data in industrial IoT networks using deep reinforcement learning and ensemble techniques
The proposed methodology for Dynamic Network Optimization focuses on creating a robust and adaptive framework that integrates advanced machine learning techniques with real-time network dynamics to optimize Industrial IoT (IIoT) operations. The…
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