故障
发表于 2025-3-21 19:30:14
书目名称Context-Aware Systems and Applications影响因子(影响力)<br> http://impactfactor.cn/if/?ISSN=BK0236894<br><br> <br><br>书目名称Context-Aware Systems and Applications影响因子(影响力)学科排名<br> http://impactfactor.cn/ifr/?ISSN=BK0236894<br><br> <br><br>书目名称Context-Aware Systems and Applications网络公开度<br> http://impactfactor.cn/at/?ISSN=BK0236894<br><br> <br><br>书目名称Context-Aware Systems and Applications网络公开度学科排名<br> http://impactfactor.cn/atr/?ISSN=BK0236894<br><br> <br><br>书目名称Context-Aware Systems and Applications被引频次<br> http://impactfactor.cn/tc/?ISSN=BK0236894<br><br> <br><br>书目名称Context-Aware Systems and Applications被引频次学科排名<br> http://impactfactor.cn/tcr/?ISSN=BK0236894<br><br> <br><br>书目名称Context-Aware Systems and Applications年度引用<br> http://impactfactor.cn/ii/?ISSN=BK0236894<br><br> <br><br>书目名称Context-Aware Systems and Applications年度引用学科排名<br> http://impactfactor.cn/iir/?ISSN=BK0236894<br><br> <br><br>书目名称Context-Aware Systems and Applications读者反馈<br> http://impactfactor.cn/5y/?ISSN=BK0236894<br><br> <br><br>书目名称Context-Aware Systems and Applications读者反馈学科排名<br> http://impactfactor.cn/5yr/?ISSN=BK0236894<br><br> <br><br>
defray
发表于 2025-3-22 00:06:02
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indifferent
发表于 2025-3-22 03:02:43
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Pantry
发表于 2025-3-22 07:45:43
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黄瓜
发表于 2025-3-22 09:31:34
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Haphazard
发表于 2025-3-22 14:52:12
Context-Based Classifier Grids Learning for Object Detection in Surveillance Systems,ully autonomous surveillance where the focus is on developing adaptive approaches for object detection from single and multiple stationary cameras that are able to incorporate unlabeled information using different types of context in order to collect scene specific samples from both, the background
Haphazard
发表于 2025-3-22 17:45:53
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CROW
发表于 2025-3-22 22:39:33
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预防注射
发表于 2025-3-23 02:24:44
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interior
发表于 2025-3-23 06:58:44
Travel Destination Recommendation Based on Probabilistic Spatio-temporal Inference,ent, local gourmet food and so on. A general method for recommendation system has a data sparseness and the first rate problem. This problem can be solved by ontology and inference rules. In this paper, we propose the travel destination recommendation using Markov Logic Networks based on probabilist