NEURAL NETWORK FUNDAMENTALS WITH GRAPHS, ALGORITHMS, AND APPLICATIONS
Page 1 NEURAL NETWORK FUNDAMENTALS WITH GRAPHS, ALGORITHMS, AND …

A unique and comprehensive collection of submarine landslide data from different tectonic
environments in the North Atlantic, based on published literature and industry sources, is …

Three fast algorithms have been developed to solve the problem of data association in
multitarget tracking in clutter. In the first algorithm, the problem of data association is …

Kalman filtering is a fundamental building block of most multiple-target tracking (MTT)
algorithms. The other building block usually involves some type of data association …

A new multiple target tracking algorithm for tracking in clutter is developed. The new
algorithm uses a modified Hough transform (HT) for track initiation and a directional …

In this paper, a fuzzy logic data correlation approach for multisensor–multitarget tracking is
proposed. This fuzzy correlation approach is developed based on fuzzy clustering means …

A great deal of attention is currently focused on multisensor data fusion. Multisensor data
fusion combines data from multiple sensor systems to achieve improved performance and …

With the rising popularity of artificial intelligence (AI), also target surveillance based on radar
sensors aims to tap the potential of AI enabled through today's computational capacities …

A continuous-time network with piecewise linear neuron input-output characteristics is
proposed for optimization applications. Certain qualitative properties of the network of …

The main concern in Wireless Sensor Networks is how to handle with their limited energy
resources. The performance of Wireless Sensor Networks strongly depends on their lifetime …