[HTML][HTML] Artificial intelligence frameworks to detect and investigate the pathophysiology of spaceflight associated neuro-ocular syndrome (SANS)
Brain Sciences | Free Full-Text | Artificial Intelligence Frameworks to Detect and Investigate the
Pathophysiology of Spaceflight Associated Neuro-Ocular Syndrome (SANS) Next Article in …
Pathophysiology of Spaceflight Associated Neuro-Ocular Syndrome (SANS) Next Article in …
Identification of autism in children using static facial features and deep neural networks
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 …
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 …
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
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 …
affected areas. Autonomous drones are an alternative means of prioritizing assistance due …
Alcoholism identification based on an AlexNet transfer learning model
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 …
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
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 …
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
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 …
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 …
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 …
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 …
monitoring systems in smart environments. Specifically, for elderly persons wishing to …