Results 171 to 180 of about 546,017 (306)
Continual Learning for Multimodal Data Fusion of a Soft Gripper
Models trained on a single data modality often struggle to generalize when exposed to a different modality. This work introduces a continual learning algorithm capable of incrementally learning different data modalities by leveraging both class‐incremental and domain‐incremental learning scenarios in an artificial environment where labeled data is ...
Nilay Kushawaha, Egidio Falotico
wiley +1 more source
Crowdsourced 3D Mapping: A Combined Multi-View Geometry and Self-Supervised Learning Approach [PDF]
Hemang Chawla +4 more
openalex +1 more source
A Simple Data Mixing Prior for Improving Self-Supervised Learning [PDF]
Sucheng Ren +6 more
openalex +1 more source
From Lab to Landscape: Environmental Biohybrid Robotics for Ecological Futures
This Perspective explores environmental biohybrid robotics, integrating living tissues, microorganisms, and insects for operation in real‐world ecosystems. It traces the leap from laboratory experiments to forests, wetlands, and urban environments and discusses key challenges, development pathways, and opportunities for ecological monitoring and ...
Miriam Filippi
wiley +1 more source
Omni-Granular Ego-Semantic Propagation for Self-Supervised Graph Representation Learning [PDF]
L. Yang, Shenda Hong
openalex +1 more source
Smart REASSURED Sensors via Machine‐Augmented Printable On‐Paper Arrays
This perspective highlights the emerging role of pattern‐recognition, printable on‐paper sensor arrays for intelligent PoC diagnostics. It discusses how paper's inherent limitations can be overcome through surface modification and scalable printing, and how machine‐learning analysis of cross‐reactive arrays enables multiplexed, low‐cost, and REASSURED ...
Naimeh Naseri, Saba Ranjbar
wiley +1 more source
GMSS: Graph-Based Multi-Task Self-Supervised Learning for EEG Emotion Recognition [PDF]
Yang Li +9 more
openalex +1 more source
Rheumatoid arthritis is a disease characterized by joint inflammation. Approximately 50% of patients show insufficient response to traditional synthetic disease‐modifying antirheumatic drugs. This study aims to elucidate differential molecular profiles of the mechanisms underlying drug responses through multi‐omics strategy.
Congcong Jian +26 more
wiley +1 more source
Multi‐Site Transfer Classification of Major Depressive Disorder: An fMRI Study in 3335 Subjects
The study proposes graph convolution network with sparse pooling to learn the hierarchical features of brain graph for MDD classification. Experiment is done on multi‐site fMRI samples (3335 subjects, the largest functional dataset of MDD to date) and transfer learning is applied, achieving an average accuracy of 70.14%.
Jianpo Su +14 more
wiley +1 more source
Single‐cell transcriptomic and functional analyses identify SEMA3C as a key regulator of tumor progression and tumor microenvironment remodeling in penile squamous cell carcinoma. SEMA3C promotes epithelial–mesenchymal transition, tumor growth, and invasion while shaping an immunosuppressive microenvironment, highlighting its potential as a prognostic ...
Xiheng Hu +21 more
wiley +1 more source

