Researchers at Shanghai Jiao Tong University have developed a lightweight, artificial intelligence (AI) based system that enables drone swarms to navigate complex environments at high speeds without relying on expensive hardware or human…
Category: Engineering
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Humanoid robot freaks out in viral clip, handler blames code error
A viral video showing a Unitree H1 humanoid robot violently thrashing mid-test has stirred fresh concerns about the risks of advanced robotics.
In the clip, the robot flails wildly before causing the crane suspending it to crash, narrowly missing…
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Old solar panels regain 96% power as wind tech wipes off 83% dust
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…
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OpenAI, Google models beat high school math elites in global contest
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…
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Study on the shear performance of GFRP perforated plate connectors
Validation of load-slip curve results
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…
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An intelligent algorithm for optimizing player positioning using circular intuitionistic fuzzy COCOSO with Einstein aggregation
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.
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Enhanced load frequency regulation in microgrids with renewable energy sources and electric vehicles
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).
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Prediction of traffic accidents trend with learning methods: a case study for Batman, Turkey
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.,…
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Anomaly detection in encrypted network traffic using self-supervised learning
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…
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Mechanisms and control of large deformation in mudstone roof gob side entry of inclined coal seams with water softening
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…
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