Artificial intelligence (AI) and machine learning (ML) tools play a significant role in the recent
evolution of smart systems. AI solutions are pushing towards a significant shift in many fields …

Computational visual perception, also known as computer vision, is a field of artificial
intelligence that enables computers to process digital images and videos in a similar way as …

This paper presents a neuromorphic system for visual pattern recognition realized in
hardware. A new learning rule based on modified spike-timing-dependent plasticity is also …

In this study, a probabilistic neural network (PNN) is used to estimate the state of health
(SOH) of Li-ion batteries. The accurate prediction of SOH can help avoid inconveniences or …

Image-based 3-D human pose recovery is usually conducted by retrieving relevant poses
with image features. However, it suffers from the high dimensionality of image features and …

In view-based 3-D object retrieval, each object is described by a set of views. Group
matching thus plays an important role. Previous research efforts have shown the …

Learning to recognize novel visual categories from a few examples is a challenging task for
machines in real-world industrial applications. In contrast, humans have the ability to …

Field Programmable Gate Array (FPGA) is a general purpose programmable logic device
that can be configured by a customer after manufacturing to perform from a simple logic gate …

In this paper, a new fine-grained image categorization system that improves spatial pyramid
matching is developed. In this method, multiple cells are combined into cellets in the …

Pulse-coupled neural networks (PCNN) have an inherent ability to process the signals
associated with the digital visual images because it is inspired from the neuronal activity in …