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Titlebook: Cognitive Systems and Information Processing; 8th International Co Fuchun Sun,Qinghu Meng,Bin Fang Conference proceedings 2024 The Editor(s

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Second Order Propositional Calculus,gnificant proportion of smooth regions is easier than images with complex textures or edge areas. This implies that the restoration for easy images requires fewer computational resources, whereas the restoration for difficult images requires more. Based on this, we have designed Model Depth Adaptati
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,Annotation—Adding Semantics to Data,h estimation tasks focus solely on predicting the depth of each pixel in an image and do not include object detection or object recognition. Depth estimation is the use of pixel transformations in the image to obtain distance information from each point in the scene to the camera to generate a depth
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Amit Sheth,Krishnaprasad Thirunarayane capacity and computing power, such as mobile terminals. A MobileNetv2-SSD target detection algorithm based on multi-scale feature fusion is proposed in this paper. We use MobileNetv2 to improve the SSD algorithm by replacing the original network’s backbone network VGG16 with the lightweight networ
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Methods for Ontology Developmentipulation strategies for hazardous object detection and manipulation processing. We conduct a series of experiments in indoor single-target, multi-target, and outdoor scenarios to complete the assigned tasks with improved manipulation sequences. These results serve as evidence of the effectiveness of the proposed framework.
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Mikhail Simonov,Flavia Mazzitellis the tracking error always in the planned steady-state region, and all variables of the closed-loop system are practical finite-time bounded. Finally, simulation results are shown to demonstrate the validity of the proposed method.
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