Integrating deep learning and pangenomics to recover missing heritability from wild structural variations. [PDF]
Wang Y, Cai M, Ma Y, Tellier A, Wei K.
europepmc +1 more source
Benchmarking Data‐Driven Control of Octopus‐Inspired Soft Arms in Underwater Environment
Underwater soft robots present safe, compliant interaction, yet reproducible control remains scarce. This work presents an open benchmark for octopus‐inspired arms: a smooth, velocity‐diverse data‐collection scheme produces a compact dataset to train a vanilla policy.
Muhammad Sunny Nazeer +6 more
wiley +1 more source
Multirobot Aerial Soft Manipulator for Floating Litter Collection
A multirobot aerial manipulator enables autonomous floating litter collection by controlling the shape of a flexible rope equipped with a hook‐based tool. Adaptive rope‐shape planning enhances grasping performance while reducing tension, demonstrating the potential of aerial robots for floating litter removal. Removing floating litter from water bodies
Antonio González‐Morgado +8 more
wiley +1 more source
New knowledge source pipelines for sociocultural representations in a cognitive architecture. [PDF]
Dulam S, Gay JR, Dancy CL.
europepmc +1 more source
A smartphone‐embedded fabric‐strip sensing interface captures side‐pressure sequences and grip‐position patterns for behavioral authentication. Probability‐based soft stacking integrates class‐wise predictive probabilities from multiple learners to improve verification‐style discrimination, supporting a sensor‐integrated mobile‐security framework that ...
Wonki Hong
wiley +1 more source
Competing Framings: Variability in AI-Generated Health Policy Guidance and Its Implications for Global Nursing. [PDF]
Silva A, Lino M.
europepmc +1 more source
Exploiting Edge Semantics in Job Shop Scheduling Problem With Heterogeneous Graph Transformers
A heterogeneous graph transformer (HGT) is introduced for reinforcement learning‐based job shop scheduling by explicitly distinguishing precedence and machine‐contention relations through edge‐type‐specific attention. The proposed framework learns richer scheduling representations, improves decision quality over homogeneous graph models, and highlights
Bulent Soykan, Fatih Kasimoglu
wiley +1 more source
Motion artifacts in electrocardiographic signals, conventionally dismissed as noise, are shown to encode discriminative activity information. A smart t‐shirt fusing textile strain sensors with textile ECG electrodes, processed through a complex‐valued residual network, recognizes 12 sport activities.
Nada Al‐azzawi +4 more
wiley +1 more source
KEMFF: A Knowledge-Enhanced and Multidimensional Feature Fusion Model for Aspect-Based Sentiment Analysis. [PDF]
Yang S, Liu P, Zhu W.
europepmc +1 more source
Graph Neural Network‐Based Reinforcement Learning for Decentralized Multi‐Robot Manipulation
Robot arms lifting a large object face a trade‐off: centralized controllers explode in parameters, while decentralized ones cannot coordinate. A GNN resolves this—each arm runs its own network but acts on the full team state, achieving centralized‐level coordination with decentralized execution. Trained across team sizes, a single policy scales to four‐
Tong Chen +3 more
wiley +1 more source

