Results 211 to 220 of about 452,378 (262)

Incremental learning algorithm for dynamic evolution of domain specific vocabulary with its stability and plasticity analysis. [PDF]

Sci Rep
Jain M, Kaur H, Gupta B, Gera J, Kalra V.   +4 more
europepmc   +1 more source

Deep Incremental Extreme Learning Machine: A Non-Iterative Constructive Sketch Via Greedy Feature Learning

, 2022
Siyuan Zhang, Linbo Xie
openalex   +1 more source

Biomechanical Phenotyping Reveals Unique Mechanobiological Signatures of Early‐Onset Colorectal Cancer

Advanced Science, EarlyView.
This study identifies a unique physical signature of colorectal cancer in younger adults: their tissues are mechanically stiffer than those in older patients with the same cancer. Furthermore, stromal remodeling in early‐onset colorectal cancer promotes epithelial mechanotransduction and proliferation, showing how mechanical alterations in the tissue ...
Nicole C. Huning, Munir H. Buhaya, Victor V. Nguyen, Afeefah Khazi‐Syed, Haider A. Ali, Adil Khan, Angela Fan, Robert C. Fisher, Zhikai Chi, Indu Raman, Guangchun Chen, Chengsong Zhu, Mengxi Yu, Andrew R. Jamieson, Sara Roccabianca, Victor D. Varner, Cheryl M. Lewis, Emina H. Huang, Jacopo Ferruzzi   +18 more
wiley   +1 more source

Meta-learning for real-world class incremental learning: a transformer-based approach. [PDF]

Sci Rep
Kumar S, Sharma A, Shokeen V, Azar AT, Amin SU, Khan ZI.   +5 more
europepmc   +1 more source

Active Force Dynamics in Red Blood Cells Under Non‐Invasive Optical Tweezers

Advanced Science, EarlyView.
A non‐invasive method combines low‐power optical tweezers with high‐speed microscopy to simultaneously monitor local membrane forces and displacements in single human red blood cells. This dual‐channel approach reveals a mechano‐dynamic signature that correlates the cell's metabolic state with its mechanical activity. This energetic framework serves as
Arnau Dorn, Clara Luque‐Rioja, Macarena Calero, Diego Herráez‐Aguilar, Francisco Monroy, Niccolò Caselli   +5 more
wiley   +1 more source

Incremental learning of humanoid robot behavior from natural interaction and large language models. [PDF]

Front Robot AI
Bärmann L, Kartmann R, Peller-Konrad F, Niehues J, Waibel A, Asfour T.   +5 more
europepmc   +1 more source

Stretchable Curvature Sensors for Motion Capture with Bending‐Stretching Coupling Deformation

Advanced Science, EarlyView.
Stretchable curvature sensors based on a wavy symmetric stacked‐layer structure (WSSLS) enable decoupled bending‐stretching detection with high linearity, repeatability, and durability. Integrated into smart gloves, the sensors achieved precise motion capture and human‐robot interaction, with slip‐simulation tests demonstrating a remarkable 93.6 ...
Tairan Wang, Xinkai Xu, Shuang Li, Yuqun Lan, Kai Chen, Wei Li, Guangyuan Wang, Kuai Yu, Lijuan Sun, Yewang Su   +9 more
wiley   +1 more source

PASS++: A Dual Bias Reduction Framework for Non-Exemplar Class-Incremental Learning [PDF]

Fei Zhu, Xu-Yao Zhang, Zhen Cheng, Cheng‐Lin Liu   +3 more
openalex   +1 more source

AI‐Directed 3D Printing of Hierarchical Polyurethane Foams

Advanced Science, EarlyView.
Digitally guided direct ink writing, combined with AI‐generated design, enables the fabrication of hierarchical polyurethane foams with tunable multiscale porosity. This approach produces architected foams featuring interconnected open‐cell networks and tailored mechanical properties, advancing the development of adaptive, high‐performance materials ...
Dhanush Patil, Jie Tian, Kun Jiang, Clarissa Westover, Sri Vaishnavi Thummalapalli, Arunachalam Ramanathan, Arpita Shome, Natalie Crutchfield, M. Taylor Sobczak, Sean Lee, Hongyue Sun, Elizabeth J. Brisbois, Hitesh Handa, Timothy E. Long, Xianqiao Wang, Kenan Song   +15 more
wiley   +1 more source

Replay-Based Incremental Learning Framework for Gesture Recognition Overcoming the Time-Varying Characteristics of sEMG Signals. [PDF]

Sensors (Basel)
Zhang X, Li T, Sun M, Zhang L, Zhang C, Zhang Y.   +5 more
europepmc   +1 more source