Water quality surveillance is tough, and a specific timely management is necessary for the
inland aquaculture ponds and ecology as well. Real time quality monitoring involves the …

Abstract Natural Language Processing (NLP) is the computational linguistics mode for the
identification and classification of text documents. The NLP process comprises the retrieval …

Knowledge on water quality and its assessment, is necessary for both human health and
environmental benefit. To account for spatial distribution, surface water quality parameters …

Multimodal emotion recognition, which combines several modalities including facial
expressions, physiological signs, voice, and gestures to assess and comprehend human …

Artificial intelligence (AI) applications in computer vision and natural language processing
(NLP) have made major advances in recent years, challenging a number of sectors and …

The amount of digital data is expanding rapidly because of the quick advancements in
digital technologies. As a result, several sources, including social media, smartphones …

Streaming analytics is one of the applications of big data. This technology has enhanced the
digital world in many folds ranging from simple customer analytics in a spreadsheet to …

In recent years and with the technological evolution, we can perform tasks that years ago
were impossible to develop. This is the case of being able to have records of brain activity …

Internal combustion engines, used for light duty transportation, represent a major role in
mobility, contributing 28.6% to CO emissions worldwide. To mitigate environmental impact …

This paper presents a research proposal on a deep convolutional neural network for the
problem of direction of arrival estimation of radio frequency signals (called DOA-CNN). The …