News

Semiconductor Engineering3d
Domain Adaptation for Image Classification of Defects in Semiconductor Manufacturing (Infineon, U. Padova et al.)
A new technical paper titled “Domain Adaptation for Image Classification of Defects in Semiconductor Manufacturing” was ...
DeepSeek’s updated model showcases China’s core AI competency
DeepSeek's AI model propelled the Chinese firm to fourth in LiveBench's global LLM rankings amid the US-China AI race.
Frontiers19d
A deep learning model for the localization and extraction of brain tumors from MR images using YOLOv7 and grab cut algorithm - Frontiers
Therefore, in this study, we used a deep learning model combined with a segmentation algorithm to localize and extract tumors from MR images. Method: This paper presents a Deep Learning (DL) ... A ...
Frontiers20d
Efficient tree species classification using machine and deep learning algorithms based on UAV-LiDAR data in North China
Its architecture includes a geometric affine module, a local weighted learning module, and a deep feature ... RF and SVM model are recommended. Though the study achieved high accuracy for tree species ...
GitHub25d
codinglabsong/food101-end2end-classifier-sagemaker-gradio: End-to-end Food101 image classifier using PyTorch, AWS SageMaker, Gradio, and wandb - GitHub
EfficientNet-B2 transfer learning (feature extraction + fine-tuning) Simple, reproducible training with local or SageMaker workflows; Dataset preparation: full or small sample subsets; Logging and ...
Scientific Research Publishing25d
Lim, J.Z., Mountstephens, J. and Teo, J. (2022) Eye-Tracking Feature Extraction for Biometric Machine Learning. Frontiers in Neurorobotics, 15, Article ID: 796895.
While the keywords like online learning (TLS = 5185), education (TLS = 4012), students (TLS = 3391), performance (TLS = 3040), e-learning (TLS = 2934) were representing the general trends among the ...
IEEE27d
A Hybrid Deep Learning Framework With Local-Global Feature Extraction for Intelligent Power System Stability Assessment
In this paper, a novel hybrid deep learning (DL) framework is proposed to ... It can better capture local features than traditional GNN and help to improve model generalization ability. Further, ...
IEEE28d
Sample-Level Improved Cross-Source Contrastive Learning for PAN and MS Joint Classification - IEEE Xplore
In recent years, the number and ways of acquiring panchromatic (PAN) images and multispectral (MS) images have increased, and manual labeling costs have also increased. Processing these data ...