Results 101 to 110 of about 6,336,923 (296)

Privacy-Preserving Continual Federated Clustering via Adaptive Resonance Theory

IEEE Access
With the increasing importance of data privacy protection, various privacy-preserving machine learning methods have been proposed. In the clustering domain, various algorithms with a federated learning framework (i.e., federated clustering) have been ...
Naoki Masuyama, Yusuke Nojima, Yuichiro Toda, Chu Kiong Loo, Hisao Ishibuchi, Naoyuki Kubota   +5 more
doaj   +1 more source

Memory-Efficient Continual Learning for Visual Anomaly Detection: A Compressed Replay approach for Teacher-Student architectures [PDF]

openAnomaly Detection is a critical task in computer vision with numerous real-world applications. While traditional anomaly detection methods have achieved significant progress, the challenge of continual learning—where models must adapt to new data ...
D'ANTONI, LORENZO
core  

Anode‐Free Sodium Metal Batteries: From Materials Design to System‐Level Integration

Advanced Science, EarlyView.
Anode‐free sodium metal batteries hold no sodium reserve, so every inefficiency becomes permanent loss. Resolving the inventory into reversible, dead, and chemically bound fractions exposes what Coulombic efficiency hides. Practical 500‐cycle operation requires above 99.95%, a threshold few systems meet under lean electrolyte and high areal capacity ...
Hamid Hussain, Shazaib Ali, Muhammad Ali, Samia Aman, Moazzam Ali, Ufra Naseer, Sajid Farooq, Asif Mahmood, Sailing He, Yinzhu Jiang, Muhammad Yousaf   +10 more
wiley   +1 more source

Online Continual Physics-Informed Learning for Quadrotor State Estimation Under Wind-Induced Disturbances

Aerospace
Accurate state estimation for quadrotors under wind-induced disturbances remains a critical challenge in dynamic outdoor environments. Existing model-based and data-driven approaches often struggle with real-time adaptation and catastrophic forgetting ...
Yanhui Liu, Shuopeng Wang, Junhua Shi, Lina Hao   +3 more
doaj   +1 more source

Computational and Data‐Driven Strategies for Lignocellulosic Biomass Valorization: From Multiscale Modeling to Digitalized Biorefinery Design

Advanced Science, EarlyView.
This Review critically connects structural recalcitrance, molecular modeling, solvent and catalyst design, pyrolysis, machine learning, reactor simulation, and FAIR digital infrastructure. Emphasis is placed on experimentally validated information transfer across scales, uncertainty and applicability domains, and the recycle, durability, techno ...
Abdullahi Bello Umar, Jiaxian Zheng, Xiangfeng Lin, Hongwu Liao, Haoqian Xu, Yufei Huang, Zaharaddeen Nasiru Garba, Adamu Uzairu, Weiwei Zhao, Zhanhui Yuan   +9 more
wiley   +1 more source

Representational Continuity for Unsupervised Continual Learning

, 2022
Continual learning (CL) aims to learn a sequence of tasks without forgetting the previously acquired knowledge. However, recent CL advances are restricted to supervised continual learning (SCL) scenarios. Consequently, they are not scalable to real-world
Madaan, Divyam, Li, Yuanchun, Yoon, Jaehong, Liu, Yunxin, Hwang, Sung Ju   +4 more
core   +1 more source

Towards Adversarially Robust Continual Learning [PDF]

, 2023
Recent studies show that models trained by continual learning can achieve the comparable performances as the standard supervised learning and the learning flexibility of continual learning models enables their wide applications in the real world.
Lyu, Lingjuan, Chen, Chen, Bai, Tao, Zhao, Jun, Wen, Bihan   +4 more
core   +1 more source

A multifidelity approach to continual learning for physical systems

Machine Learning: Science and Technology
We introduce a novel continual learning method based on multifidelity deep neural networks. This method learns the correlation between the output of previously trained models and the desired output of the model on the current training dataset, limiting ...
Amanda Howard, Yucheng Fu, Panos Stinis
doaj   +1 more source

Field‐Driven Active Colloids as Distributed Micromachines: Bridging Physics, Control, and Function Across Length Scales

Advanced Science, EarlyView.
Field‐driven active colloids are framed as distributed micromachines in which externally supplied power, sensing, and control regulate task‐relevant states. By closing the loop between particle behavior, imaging, computation, and electric or magnetic actuation, these systems can progress from programmable motion toward adaptive functional outcomes ...
Ruchi Patel, Bhuvnesh Bharti
wiley   +1 more source

Continual Disentanglement Generation for Speech Emotion Recognition [PDF]

Jisuanji kexue yu tansuo
A continual disentanglement generation for speech emotion recognition is proposed to address the problems of the lack of large amounts of labeled training data for speech models and the inability of speech models to learn incrementally in the field of ...
NING Meiling, QI Jiayin, LIANG Kuai, ZHANG Xun, CHEN Kaifan
doaj   +1 more source