Time series classification (TSC) is a fundamental and challenging problem in machine learning.Deep learning models typically achieve remarkable performance in this task but are constrained by the need for vast amounts of labeled data to generalize effectively.In this paper, we present InverseTime, a method that addresses this limitation by incorpor
The first study of modified human remains using an electron microscope was carried out at the end of the 1950 and in 1979 the first result of the study involving a scanning electron microscope (SEM) was published for the first time.The study was mainly focused on the structure of tissues and cells.With the help of this technique cell and 12 survivo
Abstract Conceptual jewelry, the result of the "contemporary" paradigm, has provided a platform for the expression of social and political ideas as well as the active presence of artists by challenging and criticizing the accepted concepts and principles in classical and modern jewelry.It prioritizes conceptual and artistic expression as a cultural
Temporal consistency analysis is an important problem in Real-Time Database Systems (RTDBSs).Most of existing works on hybrid short stem pipet transaction co-scheduling focus on exploring effective deadline and period assignment methods which can guarantee the temporal consistency of data objects and the schedulability of transactions.To the best o