[PDF][PDF] GCS-YOLOV4-Tiny: A lightweight group convolution network for multi-stage fruit detection

ML Huang, YS Wu - Math. Biosci. Eng, 2023 - aimspress.com
Fruits require different planting techniques at different growth stages. Traditionally, the
maturity stage of fruit is judged visually, which is time-consuming and labor-intensive. Fruits …

PlaqueNet: deep learning enabled coronary artery plaque segmentation from coronary computed tomography angiography

L Wang, X Zhang, C Tian, S Chen, Y Deng… - Visual Computing for …, 2024 - Springer
Cardiovascular disease, primarily caused by atherosclerotic plaque formation, is a
significant health concern. The early detection of these plaques is crucial for targeted …

WBC-AMNet: Automatic classification of WBC images using deep feature fusion network based on focalized attention mechanism

Z Wang, J **ao, J Li, H Li, L Wang - Plos one, 2022 - journals.plos.org
The recognition and classification of White Blood Cell (WBC) play a remarkable role in blood-
related diseases (ie, leukemia, infections) diagnosis. For the highly similar morphology of …

Teat detection of dairy cows based on deep learning neural network FS-YOLOv4 model

Z Yu, Y Liu, S Yu, Z Song, Y Yan, F Li, Z Wang… - … and Electronics in …, 2022 - Elsevier
To realize automatic milking operation of large-scale dairy cow breeding, an efficient
detection method for dairy cow teats, based on the improved deep learning neural network …

[HTML][HTML] Self-ChakmaNet: A deep learning framework for indigenous language learning using handwritten characters

KK Podder, LE Khan, J Chakma… - Egyptian Informatics …, 2023 - Elsevier
According to UNESCO's Atlas of the World's Languages in Danger, 40% of the languages
today are counted as endangered in the future. Indigenous languages are endangered …

[PDF][PDF] Handwritten Javanese script recognition method based 12-layers deep convolutional neural network and data augmentation

A Susanto, IUW Mulyono, CA Sari… - Int J Artif Intell …, 2023 - academia.edu
Although numerous studies have been conducted on handwritten recognition, there is little
and non-optimal research on Javanese script recognition due to its limitation to basic …

Bangla handwritten character and digit recognition using deep convolutional neural network on augmented dataset and its applications

H Huda, MAI Fahad, M Islam… - 2022 16th International …, 2022 - ieeexplore.ieee.org
Bangla Handwritten digit and character recognition, a complex computer vision problem that
is important for the Bengali language as the progress in this segment for the Bengali …

[PDF][PDF] State-of-the-art bangla handwritten character recognition using a modified resnet-34 architecture

MAR Alif - Int. J. Innov. Sci. Res. Technol, 2024 - researchgate.net
Bangla Handwritten Character Recognition (HCR) remains a persistent challenge within the
domain of Optical Character Recognition (OCR) systems. Despite extensive research efforts …

[PDF][PDF] An ensemble-acute lymphoblastic leukemia model for acute lymphoblastic leukemia image classification

ML Huang, ZB Huang - Mathematical Biosciences and Engineering, 2024 - aimspress.com
The timely diagnosis of acute lymphoblastic leukemia (ALL) is of paramount importance for
enhancing the treatment efficacy and the survival rates of patients. In this study, we seek to …