Image recognition and classification algorithms are more and more widely used in various complex scenes. However, the problems of diverse visual features, occlusion phenomenon, illumination variation and background in...
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This paper presents a deep learning-based cigarette recognition system that integrates image recognition with barcode scanning, enabling compatibility with various package forms. The system leverages the SkipNet archi...
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To address the problem of effectiveness evaluation of space reconnaissance systems with limited data sets, vast array of indexes and inadequate model interpretability, an interpretable effectiveness prediction method ...
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With the development of technology, inertial sensor-based motion capture systems are being widely used, and there is an increasing demand for their accuracy and practicality. This paper presents a three-dimensional hu...
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This paper presents a new strategy of a high-gain extended observer-based adaptive integral sliding mode control (HGEO-AISMC) on omni-directional AGV with mecanum wheels. Model uncertainties and unknown external distu...
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TPDH-graphene is a newly predicted two-dimensional carbon material with exceptional physical properties, positioning it as a promising candidate for nanoelectronics applications. Using classical molecular dynamics sim...
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How to carry out recognition process in a quick and effective way is important to the oracle bone inscriptions research area. In this paper, we proposed a recognition method which adopt a skeletonization process to no...
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To sustainably maintain the high competitions and prevent the cost, manufacturers usually pursue the accurate throughput design which helps avoid the production loss during the period of warming. Despite the extensive...
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Machine learning has become a critical tool in biological studies for both prediction and discovery. This paper specifically focuses on distinguishing between sea otters and their similar species, the river otter, usi...
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In this paper, the problem of iterative learning consensus control is studied for singular multiagent systems with the iteration-varying desired trajectories described by a high-order internal model (HOIM). Utilizing ...
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