For the last few years, one can see the emergence of a large number of intelligent products
and services, their commercial availability and the socioeconomic impact, this raises the …

One of the most important features of the Amazon Web Services (AWS) cloud is that the
program can be run and accessed from any location. You can access and monitor the result …

We introduce a neural cognitive mapping technique named long-term cognitive network
(LTCN) that is able to memorize long-term dependencies between a sequence of input and …

The superconductor single flux quantum (SFQ) logic family has been recognized as a
promising candidate to resolve the energy consumption crisis in the post-Moore era, owing …

This paper presents the proposed bird search-based shuffled shepherd optimization
algorithm (BSSSO) for face recognition. Initially, the input image undergoes a noise removal …

The combination of metaheuristic techniques and deep learning models has gained
significant attention in recent years due to their potential to address complex optimization …

Face recognition technology is presenting exciting opportunities, but its performance gets
degraded because of several factors, like pose variation, partial occlusion, expression …

Hopfield model (HM) classified under the category of recurrent networks has been used for
pattern retrieval and solving optimization problems. This network acts like a CAM (content …

The superconductor single flux quantum (SFQ) logic family has been recognized as a
promising candidate to resolve the energy consumption crisis in the post-Moore era, owing …

Can silicon-based computers be used to perform the intelligent tasks as recognition and
prediction? With the breakdown of Moore's law and Dennard scaling, the answer is seen as …