A long-term research goal of pulse-coupled neural network (PCNN) is to control neuronal
firing states at each iteration. Recently, we propose a fire-controlled MSPCNN model (FC …

Data clustering is a well-known data analysis technique for organizing unlabeled datapoints
into clusters on the basis of similarity measures. The real-world applications of data …

Particle swarm optimization (PSO) is the most well known of the swarm-based intelligence
algorithms and is inspired by the social behavior of bird flocking. However, the PSO …

Diagnosis of any disease at its early stage correct treatment of the patients is necessary to
save productive lives. Many techniques are adopted by different researchers to diagnose the …

Data clustering is a well-known data analysis methodology in the optimization community
that can be formulated as a Np-hard problem. The main concept of the clustering procedure …

A new heterogeneous pulse-coupled neural network (HPCNN) is proposed to prune the
boundary effects in image quantization. An oscillating sine–cosine pulse-coupled neural …

Optimization techniques, namely, the swarm intelligence (SI) ones, have a great impact in
numerous applications, including image processing and engineering practice. One of the …

Optimierungstechniken, insbesondere die der Schwarmintelligenz (SI), haben einen großen
Einfluss auf zahlreiche Anwendungen, einschließlich Bildverarbeitung und Ingenieurpraxis …

The crow is one of the most intelligent bird and infamous for observing other birds so that
they can steal their food. The crow search algorithm (CSA), a nature-based optimizer, is …

In this article an effort is made to identify brain tumor disease such as neoplastic,
cerebrovascular, Alzheimer's, lethal, sarcoma diseases by successful fusion of images from …