Lumpy skin disease (LSD) is an important transboundary disease affecting cattle in
numerous countries in various continents. In Thailand, LSD is regarded as a serious threat …

Early time series classification is a variant of the time series classification task, in which a
label must be assigned to the incoming time series as quickly as possible without …

Social networks accelerate information communication in public health emergencies. Some
negative information may cause an outbreak of public opinion crisis. Accurately predicting …

Abstract Unsupervised Domain Adaptation (UDA) is an ideal transfer learning method,
which can use labeled source data to improve the classification performance of unlabeled …

Amidst global food security challenges driven by population growth and economic
fluctuations, the accurate prediction of food production has become increasingly important …

Semi-supervised time series classification has become an increasingly popular task due to
the limited availability of labeled data in practice. Recently, Similarity-aware Time Series …

Predicting the closing price of the stock market with accuracy is highly uncertain and volatile.
Deep learning (DL) can analyze vast amounts of historical stock data to identify patterns and …

Property technology (proptech) has developed proprietary systems by bringing properties
and their owners from offline to online and has stimulated several productive studies for …