Results 181 to 190 of about 10,804 (248)

CBAM meets DropBlock: enhancing robot steering-angle prediction with hybrid attention and structured dropout. [PDF]

Sci Rep
Niu J, Gao G, Shen C, Zheng J, Liu S, Wang Y, Wei J.   +6 more
europepmc   +1 more source

BrainFusionNet: an attention-augmented deep convolutional framework with hybrid loss optimisation and test-time augmentation for multi-class brain tumour detection in magnetic resonance images. [PDF]

Front Oncol
Chidambaram S, Venugopal J.
europepmc   +1 more source

AgroDualNet: a dual deep learning-based crop disease forecasting and fruit ripening detection. [PDF]

Sci Rep
K M, C V, N K.
europepmc   +1 more source

Dynamic-Attentive Selective Mamba with Group-Aware Convolution for Wearable Sensor-Based Sports and Daily Activity Recognition. [PDF]

Sensors (Basel)
Li Z, Kang W.
europepmc   +1 more source

CaliDent-Net: domain-constrained self-supervised pre-training with parallel attention and prototype calibration for dental radiograph analysis. [PDF]

Front Med (Lausanne)
Miao Y, Zhang X, Leng F, Zhu Y.
europepmc   +1 more source

DeepInsight-Net: a CBAM-enhanced ResNet50 framework with focal loss for robust cervical cancer classification on multi-center datasets. [PDF]

Front Med (Lausanne)
Kılıç Eİ, Kılıç Ş.
europepmc   +1 more source

Network security situation prediction method based on KG and Parsimonious memory unit. [PDF]

Sci Rep
Sun Z, Li L, Zong Y, Qu D.
europepmc   +1 more source

Impact of simulated glasses noise on facial emotion recognition with deep learning models. [PDF]

Sci Rep
Baharvand D, Jodati F, Shirini K, Gharehveran SS.   +3 more
europepmc   +1 more source

Fault diagnosis of ORC expanders using a multiscale residual network with convolutional block attention. [PDF]

Sci Rep
Li J, Gao Z.
europepmc   +1 more source

ACSE: an efficient deep learning model for wheat disease identification. [PDF]

Front Plant Sci
Yan X, Dong J, Wu L, Xu P, Shang Z, Liu M, Xu L.   +6 more
europepmc   +1 more source