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Andrei Konstantinov, Lev Utkin and Vladimir Muliukha
A new random forest-based model for solving the Multiple Instance Learning problem under small tabular data, called the Soft Tree Ensemble Multiple Instance Learning, is proposed. A new type of soft decision trees is considered, which is similar to the w...
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Dan Parsons, Jason Ryan, Michael Malouf and Wayne Martin
Wildlife strikes in aviation represent a serious economic concern; however, in some jurisdictions, the costs associated with this phenomenon are not collected or shared. This hampers the industry?s ability to quantify the risk and assess the potential be...
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Zhan Tan, Jiu Ren, Shaoda Li, Wei Li, Rui Zhang and Tiegang Sun
Remote sensing is widely used for lake-water-quality monitoring, but the inversion of the total nitrogen (TN) and total phosphorus (TP) of rivers and non-optical parameters is still a difficult problem. The use of high spatial and temporal resolution mul...
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Goldendeep Kaur, Kiran Jyoti, Nitin Mittal, Vikas Mittal and Rohit Salgotra
Wireless Sensor Networks (WSNs) have a wonderful potential to interconnect with the physical world and collect data. Data estimation, long lifespan, deployment, routing, task scheduling, safety, and localization are the primary performance difficulties f...
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Yuxing Wang, Nan Liu, Zhiwen Pan and Xiaohu You
Network slicing is a key technology for 5G networks, which divides the traditional physical network into multiple independent logical networks to meet the diverse requirements of end-users. This paper focuses on the resource allocation problem in the sce...
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