We propose a new tracking-free method for the quantification of multiscale dynamics in 2D and 3D cell collectives.

In high dynamic conditions, using vector tracking loops instead of scalar tracking loops in GPS receivers is proved as an efficient method to compensate the performance. The Minimum Mean Squared Error detector as a multiuser detector is applied in the vector tracking loop for more reliability and efficiency. The Kalman filter does the two tasks of tracking and extracting the navigation data aft...

One of the most important and typical application of wireless sensor networks (WSNs) is target tracking. Although target tracking, can provide benefits for large-scale WSNs and organize them into clusters but tracking a moving target in cluster-based WSNs suffers a boundary problem. The main goal of this paper was to introduce an efficient and novel mobility management protocol namely Target Tr...

One of the main problems in wind energy conversion system (WECS) is how to achieve maxim‌u‌m output power in different wind speeds. Maximum methods for maximum power point tracking in wind energy conversion syst‌e‌ms require the knowledge of system characteristics and mechanic sensors. So, using these methods practically will follow with high price and an abundant difficulties. In this pape...

Tracking of cells in live-imaging microscopy videos of epithelial sheets is a powerful tool for investigating fundamental processes in embryonic development. Characterizing cell growth, proliferation, intercalation and apoptosis in epithelia helps us to understand how morphogenetic processes such as tissue invagination and extension are locally regulated and controlled. Accurate cell tracking r...

Cell tracking and motility analysis are essential for understanding multicellular processes, automated quantification in biomedical experiments, medical diagnosis treatment. However, manual is labor-intensive, tedious, prone to selection bias errors. Building upon our previous work, we propose a new deep learning-based method, EDNet, cell detection, tracking, that more robust shape across diffe...