Advertisement

Browse Subject Areas

?

Click through the PLOS taxonomy to find articles in your field.

For more information about PLOS Subject Areas, click here.

Convolution

ArsenicNet: An efficient way of arsenic skin disease detection using enriched fusion Xception model

Md Humaion Kabir Mehedi, Kh. Fardin Zubair Nafis, [ ... ], M.F. Mridha

Traffic flow prediction based on spatiotemporal encoder-decoder model

Yuanming Ding, Wei Zhao, [ ... ], Yunrui Tao

Enhancing the dataset of CycleGAN-M and YOLOv8s-KEF for identifying apple leaf diseases

Lijun Gao, Hongxin Wu, [ ... ], Xuedong Zhang

Segmentation-based deep 2D-3D multibranch learning approach for effective hyperspectral image classification

Tanver Ahmed, Adiba Mahjabin Nitu, [ ... ], Md Palash Uddin

DEFIF-Net: A lightweight dual-encoding feature interaction fusion network for medical image segmentation

Zhanlin Ji, Shengnan Hao, [ ... ], Ivan Ganchev

Informer-based DDoS attack detection method for the power Internet of Things

Wei Cui, Xiao Liao, [ ... ], Mingyan Song

A deep learning-based algorithm for the detection of personal protective equipment

Bo Tong, Guan Li, [ ... ], Xingchen Yu

MCF-Net: Personnel and machinery detection model for complex downhole drilling environments

Zhupeng Jin, Hongcai Li

AMD-FV: Adaptive margin loss and dual path network+ for deep face verification

Zeeshan Ahmed Khan, Waqar Ahmed, Panos Liatsis

BGM-YOLO: An accurate and efficient detector for detecting plant disease

Chenghai Yu, Junhao Xie, Fernandes Jean Adrian Tony

Image key information processing using convolutional neural network and rotational invariant-hierarchical max pooling algorithm

Guangmei Ma

Multi-convolutional neural networks for cotton disease detection using synergistic deep learning paradigm

Afira Aslam, Syed Muhammad Usman, [ ... ], Irfan Hussain

Lightweight wavelet-CNN tea leaf disease detection

Jing Yang, GaoJian Xu, MengDao Yang, ZhengPei Lin

Advertisement

Create a weekly email alert for: Convolution

You can change these options by clicking profile then "Alerts and Notifications"