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FedSULP: A communication-efficient federated learning framework with selective updating and loss penalization
Federated Learning allows a myriad of clients to train a global model in a collaborative
process over a period of rounds without essentially sharing their privately-stored data. The …
process over a period of rounds without essentially sharing their privately-stored data. The …
Detection of external defects in tomatoes using deep learning
Computer vision helps a computer to understand, classify and label images. Digital cameras
can capture images and videos and then be analyzed with deep learning models for …
can capture images and videos and then be analyzed with deep learning models for …
LungVision: X-ray Imagery Classification for On-Edge Diagnosis Applications
This study presents a comprehensive analysis of utilizing TensorFlow Lite on mobile phones
for the on-edge medical diagnosis of lung diseases. This paper focuses on the technical …
for the on-edge medical diagnosis of lung diseases. This paper focuses on the technical …
[HTML][HTML] Sunpheno: a deep neural network for phenological classification of sunflower images
Leaf senescence is a complex trait which becomes crucial for grain filling because
photoassimilates are translocated to the seeds. Therefore, a correct sync between leaf …
photoassimilates are translocated to the seeds. Therefore, a correct sync between leaf …
[PDF][PDF] Sunpheno: A Deep Neural Network for Phenological Classification of Sunflower Images. Plants 2024, 13, 1998
SAB Luoni, R Ricci, MA Corzo, G Hoxha, F Melgani… - 2024 - iris.unitn.it
Leaf senescence is a complex trait which becomes crucial for grain filling because
photoassimilates are translocated to the seeds. Therefore, a correct sync between leaf …
photoassimilates are translocated to the seeds. Therefore, a correct sync between leaf …
Boosting Adversarial Transferability Through Intermediate Feature
C He, X Li, X Zhang, K Zhang, H Li, G **ong… - … Conference on Artificial …, 2023 - Springer
Deep neural networks are well known to be vulnerable to adversarial samples in the white-
box setting. However, as research progressed, researchers discovered that adversarial …
box setting. However, as research progressed, researchers discovered that adversarial …
Optimizing MobileNet Algorithms for Real-time Vessel Detection on Smartphones
Internal bleeding due to non-compressible torso hemorrhage is the leading cause of
prehospital fatalities in civilian and military trauma. A limited number of trauma surgeons are …
prehospital fatalities in civilian and military trauma. A limited number of trauma surgeons are …
ARTIFICIAL INTELLIGENCE IN HEALTHCARE APPLICATIONS TARGETING CANCER DIAGNOSIS–PART II: INTERPRETING THE MODEL OUTPUTS AND …
Background The lack of standardized performance assessment metrics and the inconsistent
reporting of results can lead to the presentation of overly optimistic outcomes that fail to …
reporting of results can lead to the presentation of overly optimistic outcomes that fail to …