Results 211 to 220 of about 104,097 (280)
To address the problems of insufficient utilization of multiscale features and inefficient feature sharing between tasks in the model, this study proposes an edge‐enhanced intelligent cervical cancer screening method that achieves feature reuse and improves efficiency by jointly optimizing nucleolus segmentation and lesion classification.
Li Wen +4 more
wiley +1 more source
Exploring the factors influencing college students' learning satisfaction in generative AI-supported MOOCs learning environment: a learning experience framework perspective. [PDF]
Lv P, Wang X, Nie Y, Wu R, Wang L.
europepmc +1 more source
Design of a Reconfigurable Microfluidic System Enabled by Magnetic Miniature Robots
Magnetic miniature robots are integrated into microfluidic chips to achieve real‐time reconfiguration. By external magnetic actuation, the robots perform sorting, mixing, flow regulation, and bubble removal on demand. This versatile platform eliminates the need for complex on‐chip hardware and enables adaptive control for biological and chemical ...
Yuanhe Chen +3 more
wiley +1 more source
The new frontier in assisted reproduction : Consumer Desire vs. Regulatory and Ethical Precaution in AI-assisted Polygenic Embryo Screening. [PDF]
Raz A +3 more
europepmc +1 more source
Royal courts of the ancient Maya, vol 1, Theory, comparison, and synthesis [PDF]
Graham, E
core
This work presents a tip‐growing eversion robot that uses phase‐changing alloys for reversible stiffening and localized actuation, achieving 43× stiffness modulation, 15× force amplification, and segmental steering. The system enables precise navigation and force delivery in constrained, tortuous pathways.
Shamsa Al Harthy +4 more
wiley +1 more source
Reconsidering "Aging Well" According to Multiple Definitions: A Multidimensional Approach to Clinical Psychology of Aging. [PDF]
Gaviano L +6 more
europepmc +1 more source
Robust Dysarthric Speech Recognition with GAN Enhancement and LLM Correction
This study tackles dysarthric speech recognition by combining generative adversarial network (GAN)‐generated synthetic data with large language model (LLM)‐based error correction. The approach integrates three key elements: an improved CycleGAN to generate synthetic dysarthric speech for data augmentation, a multimodal automatic speech recognition core
Yibo He +3 more
wiley +1 more source

