过去一年中添加的文章，按日期排序
Estimation of cattle weight from composite image/height/length data with spatial and channel attention convolution network (SCA-ConvNet)
L Lan, L Shen, H Wang, Y Yao, P Zheng… - Signal, Image and Video …, 2024 - Springer
1 天前 - … algorithm in weight estimation showed gradual improvement. … including mean
absolute error (MAE), root mean square … automatic estimation of live weight utilizing deep learning …
absolute error (MAE), root mean square … automatic estimation of live weight utilizing deep learning …
[HTML][HTML] EC-YOLO: Improved YOLOv7 Model for PCB Electronic Component Detection
S Luo, F Wan, G Lei, L Xu, Z Ye, W Liu, W Zhou, C Xu - Sensors, 2024 - mdpi.com
1 天前 - … technologies using deep learning methods has … improve the network’s ability to
learn without affecting the gradient path. Group convolution is used to increase the channels …
learn without affecting the gradient path. Group convolution is used to increase the channels …
A GT-LSTM Spatio-Temporal Approach for Winter Wheat Yield Prediction: From the Field Scale to County Scale
E Cheng, F Wang, D Peng, B Zhang… - … on Geoscience and …, 2024 - ieeexplore.ieee.org
4 天前 - … deeplearning yield estimation models to interpret key features related to yields can
be enhanced … (b) changes in the root mean square error between the same two datasets. In …
be enhanced … (b) changes in the root mean square error between the same two datasets. In …
Explainable AI (XAI) for Wireless Communications: UWB Radar for Zone-based Obstacle Detection
M Cheraghinia, E De Poorter… - … and GNSS (ICL-GNSS), 2024 - ieeexplore.ieee.org
12 天前 - … This approach achieved Root Mean Square Errors (RMSEs… Similarly, [12] uses a
deep learning network for real-time … demonstrates how XAI can enhance the understanding of …
deep learning network for real-time … demonstrates how XAI can enhance the understanding of …
Reducing the Impact of DoS Attack on Static and Dynamic SE Using a Deep Learning-Based Model
P Kukadiya, T Jain, N Hubballi - IEEE Transactions on Industrial …, 2024 - ieeexplore.ieee.org
19 天前 - … least square (WLS) and cubature Kalman filter (CKF)-based hybrid SE. Second,
a method to improve … synchrophasor measurements using convolutional neural network (CNN) …
a method to improve … synchrophasor measurements using convolutional neural network (CNN) …
Image synthesis of interictal SPECT from MRI and PET using machine learning
AS Fard, DC Reutens, SC Ramsay… - Frontiers in …, 2024 - frontiersin.org
24 天前 - … Loss functions define how trainable weights evolve during training in a machine
learning … been proposed to improve machine learning model performance for image estimation. …
learning … been proposed to improve machine learning model performance for image estimation. …
[PDF][PDF] Channel Estimation for MIMO-OFDM Communication Systems Using Machine learning for 5G applications
AS Joshi, GA Bidkar - yjgkx.org
24 天前 - … of machine learning techniques (CNN, RNN) for channel estimation with the goal of
enhancing the Mean … the bit error rate (BER) and mean square error (MSE) versus signal to …
enhancing the Mean … the bit error rate (BER) and mean square error (MSE) versus signal to …
AttenReEsNet: Attention-Aided Residual Learning for Effective Model-Driven Channel Estimation
E Fola, Y Luo, C Luo - IEEE Communications Letters, 2024 - ieeexplore.ieee.org
26 天前 - … Abstract—In model-driven deep learning (DL)-based channel estimation methods
for … Fettweis, “Enhancing least square channel estimation using deep learning,” in 2020 …
for … Fettweis, “Enhancing least square channel estimation using deep learning,” in 2020 …
Incorporation of a modified temporal cepstrum smoothing in both signal-to-noise ratio and speech presence probability estimation for speech enhancement
D Wang, Z Hou, Y Hu, C Zhu, J Lu… - The Journal of the …, 2024 - pubs.aip.org
36 天前 - … estimation, the unbiased minimum mean square error noise power spectral density
… performance to several baseline systems based on lightweight deep neural networks. …
… performance to several baseline systems based on lightweight deep neural networks. …
[HTML][HTML] Learning-based sound speed estimation and aberration correction for linear-array photoacoustic imaging
43 天前 - … a deep learning framework for SoS estimation and … was further enhanced through
transfer learning using physical … This framework achieved a root mean square error of 10.2 …
transfer learning using physical … This framework achieved a root mean square error of 10.2 …