Results 201 to 210 of about 550,353 (340)
A Hybrid Transfer Learning Framework for Brain Tumor Diagnosis
A novel hybrid transfer learning approach for brain tumor classification achieves 99.47% accuracy using magnetic resonance imaging (MRI) images. By combining image preprocessing, ensemble deep learning, and explainable artificial intelligence (XAI) techniques like gradient‐weighted class activation mapping and SHapley Additive exPlanations (SHAP), the ...
Sadia Islam Tonni +11 more
wiley +1 more source
Correction: PixCUE: Joint Uncertainty Estimation and Image Reconstruction in MRI using Deep Pixel Classification. [PDF]
Ekanayake M +4 more
europepmc +1 more source
EDUCATIONAL COMPUTER PRACTICE OF FUTURE TEACHERS OF INFORMATICS: PECULIARITIES OF ORGANIZATION [PDF]
Olga Duschenko
openalex +1 more source
This article proposes a lightweight YOLOv4‐based detection model using MobileNetV3 or CSPDarknet53_tiny, achieving 30+ FPS and higher mAP. It also presents a ShuffleNet‐based classification model with transfer learning and GAN‐augmented images, improving generalization and accuracy.
Qingyang Liu, Yanrong Hu, Hongjiu Liu
wiley +1 more source
Observer: creation of a novel multimodal dataset for outpatient care research. [PDF]
Johnson KB +5 more
europepmc +1 more source
Leveraging Health Informatics to Enhance Outpatient Chemotherapy Operations Management
Majed Hadid +2 more
openalex +1 more source
This study presents a new sampling‐based model predictive control minimizing reverse Kullback‐Leibler divergence to quickly find a local optimum. In addition, a modified Nesterov's acceleration method is introduced for faster convergence. The method is effective for real‐time simulations and real‐world operability improvement on a force‐driven mobile ...
Taisuke Kobayashi, Kota Fukumoto
wiley +1 more source

