Results 191 to 200 of about 156,774 (303)
Multimodal multi-instance evidence fusion neural networks for cancer survival prediction. [PDF]
Luo H, Huang J, Ju H, Zhou T, Ding W.
europepmc +1 more source
The first biometric framework to harness dynamic time warping (DTW) for single‐channel diaphragmatic surface electromyography authentication via post‐hoc alignment is presented. By optimally warping deep–normal–deep breath cycles, DTW achieves perfect genuine–impostor separation (equal error rates = 0%), while a parallel adaptive neuro‐fuzzy inference ...
Beyza Eraslan+2 more
wiley +1 more source
Mamba-fusion for privacy-preserving disease prediction. [PDF]
Jabbar MK, Jianjun H, Jabbar A, Bilal A.
europepmc +1 more source
Uniform lyndon interpolation for basic non-normal modal and conditional logics [PDF]
Amirhossein Akbar Tabatabai+2 more
openalex +1 more source
Normal proofs and tableaux for the Font-Rius tetravalent modal logic
Marcelo E. Coniglio, Martín Figallo
openalex +2 more sources
A memristor‐based associative learning circuit is presented for real‐time, fault‐tolerant sensor fusion in autonomous systems. The circuit mimics biological learning to recognize driving scenarios even with missing or degraded sensor inputs. Its low‐power, analog architecture enables robust decision‐making across diverse conditions, offering a ...
Kapil Bhardwaj+3 more
wiley +1 more source
Gene set optimization for single cell transcriptomics. [PDF]
Frost HR.
europepmc +1 more source
Improving Long‐Term Glucose Prediction Accuracy with Uncertainty‐Estimated ProbSparse‐Transformer
Wearable devices collect blood glucose and other physiological data, which serve as inputs to the prediction model. After data embedding, a structure utilizing ProbSparse self‐attention and a one‐step generative head within a Transformer‐based model is introduced, which is concurrently designed for deployment on edge devices, enabling real‐time ...
Wei Huang+5 more
wiley +1 more source
A Novel Cooperative AI-Based Fall Risk Prediction Model for Older Adults. [PDF]
Mohan D, Chong PHJ, Gutierrez J.
europepmc +1 more source
A novel medical image segmentation framework that integrates an enhanced Particle Swarm Optimization (EE‐PSO) into DeepLabV3+ to optimize feature selection. By dynamically identifying key channels in the atrous spatial pyramid pooling module, the method improves segmentation performance, achieving mIoU gains of 2.7% on Alzheimer's and 2.8% on brain ...
Alireza Norouziazad+8 more
wiley +1 more source