5篇
您的检索式：作者名="Zander Sebastian"
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| 1 | In- vestigating the IPv6 Teredo tunneling capability and perfor- mance of intemet clients 显示文摘 | Zander Sebastian Andrew LH Lachlan Annitage Grenville | 2012 | ACM SIGCOMM Computer Communication Review2012，42，5： | 1 |
| 2 | A Survey of Cov-ert Channels and Countermeasures in Computer Network Protocols显示文摘 | Sebastian Zander Grenville Armitage Philip Branch | 2007 | Communications Surveys&Tutorials IEEE2007，9，3： | 1 |
| 3 | A Survey of CovertChannels and Countermeasures in Computer Network Protocols显示文摘 | Sebastian Zander Grenville Armitage Philip Branch | 2007 | Com-munications Surveys & Tutorials IEEE2007，9，3： | 1 |
| 4 | A surveyof covert channels and countermeasures in computer networkprotocols 显示文摘 | Sebastian Zander Grenville Armitage Philip Branch | 2007 | IEEE Communications Surveys &- Tutorials2007，9，3： | 1 |
| 5 | A survey of image-based computational learning techniques for frost detection in plants显示文摘Frost damage is one of the major concerns for crop growers as it can impact the growth of the plants and hence,yields.Early detection of frost can help farmers mitigating its impact.In the past,frost detection was a manual or visual process.Image-based techniques are increasingly being used to understand frost development in plants and automatic assessment of damage resulting from frost.This research presents a comprehensive survey of the state-of the-art methods applied to detect and analyse frost stress in plants.We identify three broad computational learning approaches i.e.,statistical,traditional machine learning and deep learning,applied to images to detect and analyse frost in plants.We propose a novel taxonomy to classify the existing studies based on several attributes.This taxonomy has been developed to classify the major characteristics of a significant body of published research.In this survey,we profile 80 relevant papers based on the proposed taxonomy.We thoroughly analyse and discuss the techniques used in the various approaches,i.e.,data acquisition,data preparation,feature extraction,computational learning,and evaluation.We summarise the current challenges and discuss the opportunities for future research and development in this area including in-field advanced artificial intelligence systems for real-time frost monitoring. | Sayma Shammi Ferdous Sohel Dean Diepeveen Sebastian Zander Michael G.K.Jones | 2023 | Information Processing in Agriculture2023，10，2： | 0 |
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