Results 181 to 190 of about 26,697 (249)
A Safe-Domain Generative Adversarial Network with Swin Transformer for Noisy Imbalanced Fault Diagnosis. [PDF]
Lai X, Zhang X, Xie Z, Liu M.
europepmc +1 more source
A codesign multiobjective optimization framework was developed to enhance the morphology and controller of a snake‐like robot driven by artificial muscles. It improved planar locomotion, agility, and power efficiency. The approach optimized link geometry and controller gains, revealing that shorter muscles near joints and longer linkages maximize ...
Ayla Valles, Mahdi Haghshenas‐Jaryani
wiley +1 more source
Keeping up with the regions: a hybrid machine learning framework for estimating regional input-output tables. [PDF]
De Pretis F, Tortoli D, Caria S.
europepmc +1 more source
Degradable Magnetic Composites from Recycled NdFeB Magnets for Soft Actuation and Sensing
This work presents a degradable soft magnetic composite made from recycled NdFeB particles embedded in a gelatin‐based organogel. The material is processed into magnetic sensors and soft robotic components, which can later be dissolved in a green solvent to recover NdFeB magnetic particles.
Muhammad Bilal Khan +14 more
wiley +1 more source
Multi-Pattern Generalization in CO<sub>2</sub>‑EOR: Physically Consistent Surrogate for Saturation-Field Evolution. [PDF]
Zhao J, Dong Y, Zhang J, Wu K.
europepmc +1 more source
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
Exploiting explanations for model extraction via knowledge distillation and mitigation with private counterfactuals. [PDF]
Ezzeddine F, Giordano S, Ayoub O.
europepmc +1 more source
Automated poultry processing lines still rely on humans to lift slippery, easily bruised carcasses onto a shackle conveyor. Deformability, anatomical variance, and hygiene rules make conventional suction and scripted motions unreliable. We present ChicGrasp, an end‐to‐end hardware‐software co‐designed imitation learning framework, to offer a ...
Amirreza Davar +8 more
wiley +1 more source
Discovering TEAD4 modulators for hepatocellular carcinoma: a GAN-enabled generative modelling framework. [PDF]
Premnath V +3 more
europepmc +1 more source
This study explores how information processing is distributed between brains and bodies through a codesign approach. Using the “backpropagation through soft body” framework, brain–body coupling agents are developed and analyzed across several tasks in which output is generated through the agents’ physical dynamics.
Hiroki Tomioka +3 more
wiley +1 more source

