Results 221 to 230 of about 683,409 (316)
Robustness of CNN-augmented sequential models for Li-ion battery RUL prediction under data scarcity. [PDF]
Zhang J.
europepmc +1 more source
This article reviews the current state of bioinspired soft robotics. The article discusses soft actuators, soft sensors, materials selection, and control methods used in bioinspired soft robotics. It also highlights the challenges and future prospects of this field.
Abhirup Sarker +2 more
wiley +1 more source
Robust Activity Recognition via Redundancy-Aware CNNs and Novel Pooling for Noisy Mobile Sensor Data. [PDF]
Hamad Ameen BA, Aminifar SA.
europepmc +1 more source
Empowering Advanced Bone Cancer Detection Using ResNet-BEO Feature Extraction and AM-SE-CNN Classification [PDF]
B. Rajalakshmi +4 more
openalex +1 more source
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
LDSC: enhancing lung disease diagnosis using a simple 1D-CNN. [PDF]
Abbasi M +3 more
europepmc +1 more source
This article develops a soft magnetic sensor array to extract 3D and distributional muscle deformations, which has highly consistent measurements in amphibious environments, robustness to hydraulic pressure, and about 200 ms faster response than an inertial measurement unit, achieving over 98% classification accuracy and below 3% phase estimation ...
Yuchao Liu +8 more
wiley +1 more source

