The goal of the growing discipline of neuro-symbolic artificial intelligence (AI) is to develop
AI systems with more human-like reasoning capabilities by combining symbolic reasoning …

Hyperspectral imaging has shown tremendous growth over the past three decades.
Hyperspectral imaging was evolved through remote sensing. Along, with the technological …

The analysis of human facial expressions from the thermal images captured by the Infrared
Thermal Imaging (IRTI) cameras has recently gained importance compared to images …

Clostridium sporogenes spores are used as surrogates for Clostridium botulinum, to verify
thermal exposure and lethality in sterilization regimes by food industries. Conventional …

With an increase in the consumption of fruits day by day, the yielding and production around
the world are also increasing at a steady rate. Meanwhile, the workforce in the field becomes …

Image captioning is an interesting and challenging task with applications in diverse domains
such as image retrieval, organizing and locating images of users' interest, etc. It has huge …

With the Internet of Multimedia Things (IoMT) becoming a reality, new approaches are
needed to process real-time multimodal event streams. Existing approaches to event …

Exploring the potential of neuro-symbolic hybrid approaches offers promising avenues for
seamless high-level understanding and reasoning about visual scenes. Scene Graph …

Reasoning is an essential part of human intelligence and thus has been a long-standing
goal in artificial intelligence research. With the recent success of deep learning …

Scene graph generation aims to capture the semantic elements in images by modelling
objects and their relationships in a structured manner, which are essential for visual …