2 天前 - … Leveraging remote sensing data for large geographic coverage and the capability
of DL algorithms to handle big data, recent experiments have extended beyond small-scale …

2 天前 - … large amounts of labeled data for … is challenging, such as in marine pollution data.
Moreover, these DNNs often lack generalization to new data, excelling only in specific tasks …

3 天前 - … understanding of IOT in the and their potential challenges [11]. The application of IoT
for … Smart sensor network based high quality air pollution monitoring system using labview. …

3 天前 - … With the advancement of remote sensing big data, deep learning techniques have
the … features from a large volume of remote sensing data. In the field of remote sensing, these …

3 天前 - … tasks with target domain data due to the domain shift phenomenon. To address
these challenges… , named DA&MTSS, which integrates data augmentation with self-supervision. …

3 天前 - … ), such as intelligent sensing terminals, to collect required data [1]… sensing equipment,
deployment of fixed sensing networks, and limitations of single sensing capability (ie, data …

3 天前 - … Big Data presents an unmatched image of our linked … challenges. The backbone
of Industry 4.0 is robust internet connectivity, cloud computing capacity, and sensor networks, …

3 天前 - … kind of mobile sensor network with a limited transmission bandwidth that has received
a lot of attention. An integrative subject called body area networks may provide affordable…

4 天前 - … An important strategy of artificial intelligence in studying big data is data fusion
which is … Data fusion systems are now widely used in various areas such as sensor networks, …

4 天前 - The main objective of this thesis work involves the improvement and disseminationof
digitization in agriculture. In fact, in the near future, the agricultural sector iscalled upon to …