Innovation is taking solar panel maintenance to the next level.
A joint research team from the Daegu Gyeongbuk Institute of Science & Technology (DGIST) and Samsung Electronics has created a self-powered technology that removes dust from…
Innovation is taking solar panel maintenance to the next level.
A joint research team from the Daegu Gyeongbuk Institute of Science & Technology (DGIST) and Samsung Electronics has created a self-powered technology that removes dust from…
Artificial intelligence models developed by Google’s DeepMind team and OpenAI soaked themselves in a new form of glory recently. They have managed to beat some of the brightest high-school minds at mathematics, achieving a gold medal at the…
In this article, the test results of the literature14 are contrasted. In the post-processing module, the displacement and shear capacity at the previously set form-centered coupling point (RP) are directly…
Zadeh, L. A. Fuzzy sets. Inf. Control 8, 338–353. https://doi.org/10.1016/S0019-9958(65)90241-X (1965).
Atanassov, K. T. Intuitionistic fuzzy sets. Fuzzy Sets Syst. 20, 87–96.
Faheem, M., Kuusniemi, H., Eltahawy, B., Bhutta, M. S. & Raza, B. A lightweight smart contracts framework for blockchain-based secure communication in smart grid applications. IET Generation Transmission Distribution. 18 (3), 625–638 (2024).
Tedjopurnomo, D. A. et al. A survey on modern deep neural network for traffic prediction: trends, methods and challenges. IEEE Trans. Knowl. Data Eng. 34 (4), 1544–1561 (2020).
Santos, K.,…
We describe and discuss the experimental results obtained using the proposed ET-SSL model on the different datasets in this section. The evaluation measures used are detection rate, precision, recall, F1 measure, false positive rate (FPR) and…
Based on a thorough understanding of the stability of the triangular plate structure in the overlying rock, this section examines the hinge instability characteristics of the overlying rock structure following the weakening of mudstone through…
When we analyze information, uncertainty, and hesitation are permanently a problem. For instance, any point is either in a set or not in a set to a defined class, as explained in the model of crisp sets. Crisp sets give a satisfactory degree…
This paper presents a machine-learning method to predict the thrust generated by cold gas thrusters. The main focus is leveraging the FFNN to model the complex and nonlinear relationships between key operational parameters and the generated…