Results 171 to 180 of about 451,604 (277)

From Lab to Landscape: Environmental Biohybrid Robotics for Ecological Futures

Advanced Robotics Research, EarlyView.
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

Pursuing Better Representations: Balancing Discriminability and Transferability for Few-Shot Class-Incremental Learning. [PDF]

J Imaging
Li Q, Wang W, Fan H, Hui B, Wen F.
europepmc   +1 more source

An efficient real-time stock prediction exploiting incremental learning and deep learning. [PDF]

Evol Syst (Berl), 2022
Singh T, Kalra R, Mishra S, Satakshi, Kumar M.   +4 more
europepmc   +1 more source

Root‐Stimulated Movements in Mimosa Pudica for Biohybrid Robotic Systems

Advanced Robotics Research, EarlyView.
This study demonstrates that thermal and electrical stimulation of Mimosa pudica root induces movement of the petiole and pinnules without direct stimulation of the aerial organs, thereby enabling a plant‐based robotic gripper and providing a foundation for the development of intelligent and sustainable systems.
Misao Sato, Kazuya Murakami, Yu Ikeda, Yuki Sakashita, Hayato Kurusu, Ken Yokawa, Jun Shintake   +6 more
wiley   +1 more source

TSCL-LwF: A Cross-Subject Emotion Recognition Model via Multi-Scale CNN and Incremental Learning Strategy. [PDF]

Brain Sci
Wan C, Tang X, Hu C, Yang J, Zhang S, Chen D.   +5 more
europepmc   +1 more source

A Bio-Inspired Spiking Neural Network with Few-Shot Class-Incremental Learning for Gas Recognition. [PDF]

Sensors (Basel), 2023
Huo D, Zhang J, Dai X, Zhang P, Zhang S, Yang X, Wang J, Liu M, Sun X, Chen H.   +9 more
europepmc   +1 more source

AutomataGPT: Transformer‐Based Forecasting and Ruleset Inference for Two‐Dimensional Cellular Automata

Advanced Science, EarlyView.
We introduce AutomataGPT, a generative pretrained transformer (GPT) trained on synthetic spatiotemporal data from 2D cellular automata to learn symbolic rules. Demonstrating strong performance on both forward and inverse tasks, AutomataGPT establishes a scalable, domain‐agnostic framework for interpretable modeling, paving the way for future ...
Jaime A. Berkovich, Noah S. David, Markus J. Buehler   +2 more
wiley   +1 more source

Fusion of classical and deep learning features with incremental learning for improved classification of lung and colon cancer. [PDF]

Sci Rep
Anusha M, Reddy DS.
europepmc   +1 more source

Enhanced Intrusion Detection with Data Stream Classification and Concept Drift Guided by the Incremental Learning Genetic Programming Combiner. [PDF]

Sensors (Basel), 2023
Shyaa MA, Zainol Z, Abdullah R, Anbar M, Alzubaidi L, Santamaría J.   +5 more
europepmc   +1 more source

In Situ Characterisation of Hydrogels via Dynamic Interface Printing

Advanced Science, EarlyView.
ABSTRACT Hydrogels have become pivotal materials for tissue engineering, robotics, biomedical devices, and sensing applications due to their diverse material compositions and tunable mechanical properties. While significant effort has focused on developing novel manufacturing approaches such as extrusion bioprinting and light‐based fabrication methods,
Callum Vidler, Michael Halwes, David J. Collins   +2 more
wiley   +1 more source