Embodied intelligence emphasizes direct interaction between machines and the physical world, enabling intelligent agents to exhibit intelligent behaviors and autonomous evolution through the interplay of the brain, bo...
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Withthe rapid growth of autonomy, robotics is undergoing a major transformation. Trends indicate a shift from manually programmed, predefined algorithms to adaptive, learning-based systems capable of navigating the c...
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this paper presents a streamlined approach to address the challenges of integrating heterogeneous clusters in deep learning(DL) accelerators. As the demand for scalable and high-performance computing in DL continues t...
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this paper introduces a novel approach to optimizing cloud resource allocation using genetic algorithms and machine learning. the goal is to reduce costs while meeting service-level agreement (SLA) requirements. It co...
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Accurate forecasting of short-term power generation is the key to improve the efficiency of electric power company. To address the issue of inadequate prediction accuracy by current models, a new short-term power gene...
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Morphing aircraft have garnered significant attention due to their adaptability across a broad spectrum of operational scenarios. these aircraft exhibit superior aerodynamic performance compared to conventional fixedw...
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Facial emotion recognition is crucial for interaction between human & computer. this paper delves into understanding various methods and techniques used for emotion recognition. Moreover, this study goes beyond em...
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Automation systems for mobile robots have advanced significantly in artificial intelligence, especially in autonomous learning. Nevertheless, prior research has mostly concentrated on predetermined routes, ignoring ob...
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Deep learning is now considered to be almost the most potent tool in personal medicine that has changed how healthcare is perceived into data-based and most precise at the same time. It makes decisions for aficionado ...
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Power system transformation is crucial in a dual-carbon context. In this paper, we propose an optimized Transformer architecture, Romember model, which improves the accuracy of power consumption prediction by introduc...
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