Results 211 to 220 of about 390,079 (317)
Musculoskeletal humanoids exhibit rich biomechanical properties that remain insufficiently unified in prior discussions. This article systematically categorizes muscle characteristics into five properties: redundancy, independency, anisotropy, variable moment arm, and nonlinear elasticity, and analyzes their combined effects on control.
Kento Kawaharazuka +2 more
wiley +1 more source
Semantic integration of clinical laboratory tests from electronic health records for deep phenotyping and biomarker discovery. [PDF]
Zhang XA +29 more
europepmc +1 more source
An integrative approach for measuring semantic similarities using gene ontology [PDF]
Jiajie Peng +4 more
openalex +1 more source
FTGRN introduces an LLM‐enhanced framework for gene regulatory network inference through a two‐stage workflow. It combines a Transformer‐based model, pretrained on GPT‐4 derived gene embeddings and regulatory knowledge, with a fine‐tuning stage utilizing single‐cell RNA‐seq data.
Guangzheng Weng +7 more
wiley +1 more source
Towards Integrating Public Procurement Data into a Semantic Knowledge Graph
Ahmet Soylu +12 more
openalex +1 more source
Semantic Web Approach of Integrating Big Data- A Review
Jeelani Ahmed, Muqeem Ahmed
openalex +1 more source
Adaptive multi‐indicator contrastive predictive coding is introduced as a self‐supervised pretraining framework for multivariate EHR time series. An adaptive sliding‐window algorithm and 2D convolutional neural network encoder capture localized temporal patterns and global indicator dependencies, enabling label‐efficient disease prediction that ...
Hongxu Yuan +3 more
wiley +1 more source
Semantic Intelligence: Integrating GPT-4 with A Planning in Low-Cost Robotics [PDF]
Jesse Barkley +2 more
openalex +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
Semantic integration by pattern priming: experiment and cortical network model. [PDF]
Lavigne F +3 more
europepmc +1 more source

