Deep CNN and Deep GAN in Computational Visual Perception‐Driven Image Analysis

R Nandhini Abirami, PM Durai Raj Vincent… - …, 2021 - Wiley Online Library
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 …

Classification of fake news by fine-tuning deep bidirectional transformers based language model

A Aggarwal, A Chauhan, D Kumar… - EAI Endorsed …, 2020 - publications.eai.eu
With the ever-increasing rate of information dissemination and absorption,“Fake News” has
become a real menace. People these days often fall prey to fake news that is in line with …

[HTML][HTML] Towards automatic waste containers management in cities via computer vision: containers localization and geo-positioning in city maps

P Moral, Á García-Martín, M Escudero-Viñolo… - Waste Management, 2022 - Elsevier
This paper describes the scientific achievements of a collaboration between a research
group and the waste management division of a company. While these results might be the …

Pedestrian detection using RetinaNet with multi-branch structure and double pooling attention mechanism

L Huang, Z Wang, X Fu - Multimedia Tools and Applications, 2024 - Springer
Pedestrian detection technology, combined with techniques such as pedestrian tracking and
behavior analysis, can be widely applied in fields closely related to people's lives such as …

[HTML][HTML] A dynamic discarding technique to increase speed and preserve accuracy for YOLOv3

I Martinez-Alpiste, G Golcarenarenji, Q Wang… - Neural Computing and …, 2021 - Springer
This paper proposes an acceleration technique to minimise the unnecessary operations on
a state-of-the-art machine learning model and thus to improve the processing speed while …

Attention-based multi-modal fusion for improved real estate appraisal: a case study in Los Angeles

J Bin, B Gardiner, Z Liu, E Li - Multimedia Tools and Applications, 2019 - Springer
The geographical presentation of a house, which refers to the sightseeing and topography
near the house, is a critical factor to a house buyer. The street map is a type of common data …

Local bit-plane decoded convolutional neural network features for biomedical image retrieval

SR Dubey, SK Roy, S Chakraborty… - Neural Computing and …, 2020 - Springer
Biomedical image retrieval is a challenging problem due to the varying contrast and size of
structures in the images. The approaches for biomedical image retrieval generally rely on …

Pervasive computing of adaptable recommendation system for head-up display in smart transportation

A Abu-Khadrah, M Jarrah, H Alrababah… - Computers and …, 2022 - Elsevier
Pervasive computing aims to simplify our lives by efficiently managing information in
different fields such as transportation, and healthcare. Smart transportation has become an …

[HTML][HTML] Basketball shooting technology based on acceleration sensor fusion motion capture technology

B Zhao, S Liu - EURASIP Journal on Advances in Signal Processing, 2021 - Springer
Computer vision recognition refers to the use of cameras and computers to replace the
human eyes with computer vision, such as target recognition, tracking, measurement, and in …

[HTML][HTML] Comprehensive comparison of modified deep convolutional neural networks for automated detection of external and middle ear conditions

K Akyol - Neural Computing and Applications, 2024 - Springer
Otitis media disease, a frequent childhood ailment, could have severe repercussions,
including mortality. This disease induces permanent hearing loss, commonly seen in …