Results 1 to 10 of about 915,368 (263)
Management Control Systems for Sustainability and Sustainability of Management Control Systems
MANAGEMENT CONTROL, 2021 Presentazione del numero speciale di MANAGEMENT CONTROL dedicato al “IX Online Workshop” del Management Control Journal tenuto a novembre 2020.
Nicola Castellano, Carsten Felden
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A Survey on Reinforcement Learning Methods in Bionic Underwater Robots
Biomimetics, 2023 Bionic robots possess inherent advantages for underwater operations, and research on motion control and intelligent decision making has expanded their application scope.
Ru Tong +5 more
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Corn and Soybean Futures Price Intelligent Forecasting Based on Deep Learning
智慧农业, 2022 Corn and soybean are upland grain in the same season, and the contradiction of scrambling for land between corn and soybean is prominent in China, so it is necessary to explore the price relations between corn and soybean.
XU Yulin +5 more
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Applied Sciences, 2021 The extensive proliferation of urban transit cards and smartphones has witnessed the feasibility of the collection of citywide travel behaviors and the estimation of traffic status in real-time.
Gang Xiong +6 more
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The Ethics of Management Control Systems [PDF]
SSRN Electronic Journal, 2004 In this paper we review the conventional analyses of management control systems, to conclude, first, that the illusion of control can mislead managers into believing that everything can be controlled and monitored, and, second, that no incentive system based only on extrinsic rewards can motivate individuals properly.
Rosanas, Josep M., Velilla, Manuel
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Agricultural Named Entity Recognition Based on Semantic Aggregation and Model Distillation
智慧农业, 2021 With the development of smart agriculture, automatic question and answer (Q&A) of agricultural knowledge is needed to improve the efficiency of agricultural information acquisition.
LI Liangde +4 more
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A New Parallel Intelligence Based Light Field Dataset for Depth Refinement and Scene Flow Estimation
Sensors, 2022 Computer vision tasks, such as motion estimation, depth estimation, object detection, etc., are better suited to light field images with more structural information than traditional 2D monocular images.
Yu Shen +4 more
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Real–Sim–Real Transfer for Real-World Robot Control Policy Learning with Deep Reinforcement Learning
Applied Sciences, 2020 Compared to traditional data-driven learning methods, recently developed deep reinforcement learning (DRL) approaches can be employed to train robot agents to obtain control policies with appealing performance. However, learning control policies for real-
Naijun Liu +4 more
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Machines, 2023 With improvements in social productivity and technology, along with the popularity of the Internet, consumer demands are becoming increasingly personalized and diversified, promoting the transformation from mass customization to social manufacturing (SM).
Yanpeng Li +6 more
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Sensors, 2023 3D modeling plays a significant role in many industrial applications that require geometry information for pose measurements, such as grasping, spraying, etc.
Xuanchang Gao, Junzhi Yu, Min Tan
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