Results 151 to 160 of about 40,989 (265)
Personalized Network‐Guided Neuromodulation Enhances Human Working Memory
A personalized neuromodulation framework combining individualized functional brain network targeting with real‐time neural decoding is introduced. Using concurrent TMS–fMRI, participant‐specific stimulation targets and optimal frequencies are identified. Only optimal‐frequency stimulation improves working memory across sessions.
Ahsan Khan +13 more
wiley +1 more source
Utilizing Nearest-Neighbor Clustering for Addressing Imbalanced Datasets in Bioengineering. [PDF]
Huang CM +5 more
europepmc +1 more source
TaMYB7‐A1 directly activates TaABI5 to enhance ABA signaling and regulate ABA‐GA homeostasis, enforcing seed dormancy. Its superior allele, derived from wild einkorn introgression, harbors a MITE insertion that elevates expression and two amino acid substitutions that enhance transcriptional activity, collectively generating graded PHS resistance for ...
Hao Wang +18 more
wiley +1 more source
Pneumonia Detection from Chest X-Ray Images Using Deep Learning and Transfer Learning for Imbalanced Datasets. [PDF]
Alshanketi F +6 more
europepmc +1 more source
Sustainable Materials Design With Multi‐Modal Artificial Intelligence
Critical mineral scarcity, high embodied carbon, and persistent pollution from materials processing intensify the need for sustainable materials design. This review frames the problem as multi‐objective optimization under heterogeneous, high‐dimensional evidence and highlights multi‐modal AI as an enabling pathway.
Tianyi Xu +8 more
wiley +1 more source
A review on over-sampling techniques in classification of multi-class imbalanced datasets: insights for medical problems. [PDF]
Yang Y, Khorshidi HA, Aickelin U.
europepmc +1 more source
After spinal cord injury, adult microglia remain persistently activated with chronic PRMT6 (protein arginine methyltransferase 6) upregulation. Prmt6 deficiency or inhibition reestablishes microglial homeostasis and promotes a scar‐limited repairment, enhancing axonal regrowth.
Weilin Peng +9 more
wiley +1 more source
Synthetic Boosted Resampling Using Deep Generative Adversarial Networks: A Novel Approach to Improve Cancer Prediction from Imbalanced Datasets. [PDF]
Gurcan F, Soylu A.
europepmc +1 more source
This study achieves the synergistic integration of self‐powered sensing and edge AI acceleration to establish a real‐time fault diagnosis system. The proposed TENG‐based self‐powered bearing sensor (NSE‐TBS) and FPGA‐accelerated edge AI framework fundamentally break through the inherent limitations of conventional monitoring systems, including complex ...
Kehui Zhu +7 more
wiley +1 more source
Practical guide to building machine learning-based clinical prediction models using imbalanced datasets. [PDF]
Luu J +6 more
europepmc +1 more source

