Enhancing social media platforms with machine learning algorithms and neural networks

H Taherdoost - Algorithms, 2023 - mdpi.com
Network analysis aids management in reducing overall expenditures and maintenance
workload. Social media platforms frequently use neural networks to suggest material that …

[HTML][HTML] Surveying the deep: A review of computer vision in the benthos

C Trotter, HJ Griffiths, RJ Whittle - Ecological Informatics, 2025 - Elsevier
The analysis of image data for benthic biodiversity monitoring is now commonplace within
the domain of marine ecology. Whilst advances in imaging technologies have allowed for …

[HTML][HTML] Automated species classification and counting by deep-sea mobile crawler platforms using YOLO

L Ortenzi, J Aguzzi, C Costa, S Marini, D D'Agostino… - Ecological …, 2024 - Elsevier
Edge computing on mobile marine platform is paramount for automated ecological
monitoring. The goal of demonstrating the computational feasibility of an Artificial …

Automated vehicle lane centering system requirements informed by resilience engineering and a solution using Infrastructure-Based sensors

JF Rojas, P Patil, AM Masterson, T Bradley… - IEEE …, 2024 - ieeexplore.ieee.org
Advancements in driving automation systems such as Lane Kee** Assist has shown
improvements in safety by reducing traffic accidents. Nonetheless, despite the promise of …

Outlier-based autism detection using longitudinal structural MRI

K Devika, D Mahapatra, R Subramanian… - IEEE …, 2022 - ieeexplore.ieee.org
Diagnosis of Autism Spectrum Disorder (ASD) using clinical evaluation (cognitive tests) is
challenging due to wide variations amongst individuals. Since no effective treatment exists …

Machine learning applied to big data from marine cabled observatories: A case study of sablefish monitoring in the NE Pacific

F Bonofiglio, FC De Leo, C Yee… - Frontiers in Marine …, 2022 - frontiersin.org
Ocean observatories collect large volumes of video data, with some data archives now
spanning well over a few decades, and bringing the challenges of analytical capacity …

Long‐term automated visual monitoring of Antarctic benthic fauna

S Marini, F Bonofiglio, LP Corgnati… - Methods in Ecology …, 2022 - Wiley Online Library
The rapid changes in the climate of Antarctica are likely to pose challenges to living
communities, which makes monitoring of Antarctic fauna an urgent necessity. Benthos is …

Assessing the image concept drift at the OBSEA coastal underwater cabled observatory

E Ottaviani, M Francescangeli, N Gjeci… - Frontiers in Marine …, 2022 - frontiersin.org
The marine science community is engaged in the exploration and monitoring of biodiversity
dynamics, with a special interest for understanding the ecosystem functioning and for …

New interactive machine learning tool for marine image analysis

HP Clark, AG Smith… - Royal Society …, 2024 - royalsocietypublishing.org
Advancing imaging technologies are drastically increasing the rate of marine video and
image data collection. Often these datasets are not analysed to their full potential as …

Marine animal classification using deep learning and convolutional neural networks (cnn)

MSR Oion, M Islam, F Amir, ME Ali… - … on Computer and …, 2023 - ieeexplore.ieee.org
The development of artificial intelligence greatly helps in this challenging task of classifying
different species of marine animals based on their visual characteristics. Using …