Results 201 to 210 of about 245,725 (289)
A multimodal deep learning model for predicting early neurological deterioration in patients with acute ischemic stroke. [PDF]
Sun C, Zhang Y, Zhou P, Lu Z.
europepmc +1 more source
A Novel Milli‐Scale Magnetic Robot Exploiting Rotation for Controlled Magnetic Particles Release
Delivering magnetic particles can become a game changer in minimally invasive medicine. To cope with this challenge, a magnetically actuated milli‐scale carrier leveraging rotation to perform on‐demand tunable release of magnetic particles across multiple release events is presented.
Giordano De Angelis +3 more
wiley +1 more source
Hierarchical Compositional Alignment for Zero-Shot Part-Level Segmentation. [PDF]
Yang S, Ji S, Xiao Z, Liu X, Wei W.
europepmc +1 more source
Proactive Robotic Grasp Stability via Tactile Safety Margin Feedback
We introduce the tactile safety margin (TSM), defined as the ratio between applied friction force (Ffric) and maximum friction (Fmax) derived from grip force. A bilayer E‐skin with decoupled temperature, strain, and pressure sensing enables real‐time grasp stability monitoring through measured TSM values, allowing robots to proactively adjust grip ...
Yebin Park +10 more
wiley +1 more source
Saurashtra: An Indo-Aryan language dataset. [PDF]
Veeramani K, Jaganathan S.
europepmc +1 more source
Droplet‐based microfluidics enables precise, high‐throughput microscale reactions but continues to face challenges in scalability, reproducibility, and data complexity. This review examines how artificial intelligence enhances droplet generation, detection, sorting, and adaptive control and discusses emerging opportunities for clinical and industrial ...
Junyan Lai +10 more
wiley +1 more source
Performance of GPT-5 and Gemini 2.5 Pro on the Orthopaedic In-Training Examination. [PDF]
Huy LD +7 more
europepmc +1 more source
An Attention‐Assisted Machine Learning System for Deep Microorganism Image Classification
An attention‐assisted DenseNet201 framework was developed for the classification of eight microorganism classes from microscopic images. The proposed model improved classification performance and achieved an accuracy of 87.38%. Advances in microbiology and environmental health fundamentally depend on precise and timely microorganism identification ...
Yujie Li +6 more
wiley +1 more source

