[HTML][HTML] Artificial intelligence frameworks to detect and investigate the pathophysiology of spaceflight associated neuro-ocular syndrome (SANS)

J Ong, E Waisberg, M Masalkhi, SA Kamran, K Lowry… - Brain Sciences, 2023 - mdpi.com
Brain Sciences | Free Full-Text | Artificial Intelligence Frameworks to Detect and Investigate the
Pathophysiology of Spaceflight Associated Neuro-Ocular Syndrome (SANS) Next Article in …

Identification of autism in children using static facial features and deep neural networks

KK Mujeeb Rahman, MM Subashini - Brain Sciences, 2022 - mdpi.com
Autism spectrum disorder (ASD) is a complicated neurological developmental disorder that
manifests itself in a variety of ways. The child diagnosed with ASD and their parents' daily …

[PDF][PDF] Image-based tomato leaves diseases detection using deep learning

BAM Ashqar, SS Abu-Naser - 2018 - academia.edu
Crop diseases are a key danger for food security, but their speedy identification still difficult
in many portions of the world because of the lack of the essential infrastructure. The mixture …

[HTML][HTML] An integrated convolutional neural network and sorting algorithm for image classification for efficient flood disaster management

MA Islam, SI Rashid, NUI Hossain, R Fleming… - Decision Analytics …, 2023 - Elsevier
Drones are used for post-flood disaster management and delivering relief goods to flood-
affected areas. Autonomous drones are an alternative means of prioritizing assistance due …

Alcoholism identification based on an AlexNet transfer learning model

SH Wang, S **e, X Chen, DS Guttery, C Tang… - Frontiers in …, 2019 - frontiersin.org
Aim: This paper proposes a novel alcoholism identification approach that can assist
radiologists in patient diagnosis. Method: AlexNet was used as the basic transfer learning …

[HTML][HTML] Evaluation of different bearing fault classifiers in utilizing CNN feature extraction ability

W **e, Z Li, Y Xu, P Gardoni, W Li - Sensors, 2022 - mdpi.com
In aerospace, marine, and other heavy industries, bearing fault diagnosis has been an
essential part of improving machine life, reducing economic losses, and avoiding safety …

The performance analysis of transfer learning for steel defect detection by using deep learning

M Abu, A Amir, YH Lean, NAH Zahri… - Journal of Physics …, 2021 - iopscience.iop.org
Detecting steel surface defects is one of the challenging problems for industries worldwide
that had been used in manufacturing quality management. Manual inspection of the steel …

[HTML][HTML] Non-invasive detection and staging of colorectal cancer using a portable electronic nose

H Tyagi, E Daulton, AS Bannaga, RP Arasaradnam… - Sensors, 2021 - mdpi.com
Electronic noses (e-nose) offer potential for the detection of cancer in its early stages. The
ability to analyse samples in real time, at a low cost, applying easy–to-use and portable …

[HTML][HTML] Tomato leaf disease recognition on leaf images based on fine-tuned residual neural networks

PS Kanda, K **a, A Kyslytysna, EO Owoola - Plants, 2022 - mdpi.com
Humans depend heavily on agriculture, which is the main source of prosperity. The various
plant diseases that farmers must contend with have constituted a lot of challenges in crop …

[HTML][HTML] Spatio-temporal abnormal behavior prediction in elderly persons using deep learning models

M Zerkouk, B Chikhaoui - Sensors, 2020 - mdpi.com
The ability to identify and accurately predict abnormal behavior is important for health
monitoring systems in smart environments. Specifically, for elderly persons wishing to …