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 aim of the paper is to examine the position of Pullover refugees, those who expelled due to the changes in the state of the environment ("environmental refugees").The first part of the paper provides a general overview of the legal framework that regulates the position of refugees in international refugee law.The provisions contained in the Con
Optimization of frame structures is formulated as a non-convex optimization problem, which is currently solved to local optimality.In this contribution, we investigate four optimization approaches: (i) Air Compressor general non-linear optimization, (ii) optimality criteria method, (iii) non-linear semidefinite programming, and (iv) polynomial opti
Pulmonary diseases are main causes of morbidity and mortality worldwide.Current studies show that though specific pulmonary diseases and correlative lung-metabolic deviance own unique pathophysiology and Hinge clinical manifestations, they always tend to exhibit common characteristics including reactive oxygen species (ROS) signaling and disruption
Arp poisoning is one of the most common attacks in a switched network.A switch is a network device that limits the ability of attackers that use a packet sniffer to gain access to information from internal network traffic.However, using ARP poisoning the traffic between two computers can SCISSORS be intercepted even in a network that uses switches.