FedSULP: A communication-efficient federated learning framework with selective updating and loss penalization

E Nanor, MB Cobbinah, Y Qinli, S Junming… - Information Sciences, 2023 - Elsevier
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 …

Detection of external defects in tomatoes using deep learning

A Chaturvedi, S Sharma, RR Janghel - Journal of Ambient Intelligence …, 2023 - Springer
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 …

LungVision: X-ray Imagery Classification for On-Edge Diagnosis Applications

R Aldamani, DA Abuhani, T Shanableh - Algorithms, 2024 - mdpi.com
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 …

[HTML][HTML] Sunpheno: a deep neural network for phenological classification of sunflower images

SAB Luoni, R Ricci, MA Corzo, G Hoxha, F Melgani… - Plants, 2024 - mdpi.com
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 …

[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 …

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 …

Optimizing MobileNet Algorithms for Real-time Vessel Detection on Smartphones

LA Gjesteby, E Haber, S Hakozaki, A Xu… - 2023 IEEE 19th …, 2023 - ieeexplore.ieee.org
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 …

ARTIFICIAL INTELLIGENCE IN HEALTHCARE APPLICATIONS TARGETING CANCER DIAGNOSIS–PART II: INTERPRETING THE MODEL OUTPUTS AND …

ALD Araújo, M Sperandio, GC dos Santos… - Oral surgery, oral …, 2025 - Elsevier
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 …