Coma704
发表于 2025-3-30 08:16:45
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GIBE
发表于 2025-3-30 13:39:42
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看法等
发表于 2025-3-30 19:28:33
Pedestrian Tracking-by-Detection Using Image Density Projections and Particle Filters, on particle filters that are properly associated with detections. We test our system on different well-known benchmark datasets. Experimental results reveal that the proposed method is efficient and effective. Specifically, it obtains a processing rate of 22 frames per second on average when tracking a maximum number of 9 people.
飞行员
发表于 2025-3-30 23:42:06
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FACET
发表于 2025-3-31 04:42:01
Online Control of Enumeration Strategies via Bat-Inspired Optimization,strategies and its correct configuration can be seen itself as an optimization problem. In this paper, we present a new system for online control of enumeration strategies based on bat-inspired optimization. The bat algorithm is a relatively modern metaheuristic based on the location behavior of bat
水槽
发表于 2025-3-31 05:18:16
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institute
发表于 2025-3-31 09:52:16
Low-Power Occupancy Sensor for an Ambient Assisted Living System,cer conducted by us in this way is not present in the literature. This detection of force is used to trigger an active mechanism to measure the weight by means of the transducer capacity, now modelled by us. A low-power wireless sensor node prototype including this new sensor has been assembled and
Eulogy
发表于 2025-3-31 15:21:07
Self-sampling Strategies for Multimemetic Algorithms in Unstable Computational Environments,nvergence of the population and the progress of the search. We perform an extensive empirical assessment of those strategies on three different problems, considering a simulated computational environment featuring diverse degrees of instability. It is shown that these self-sampling strategies provid
强所
发表于 2025-3-31 20:11:50
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越自我
发表于 2025-4-1 01:26:16
https://doi.org/10.1007/978-94-007-7202-1strategies and its correct configuration can be seen itself as an optimization problem. In this paper, we present a new system for online control of enumeration strategies based on bat-inspired optimization. The bat algorithm is a relatively modern metaheuristic based on the location behavior of bat