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Improving operational reliability in hydropower units using incremental learning-based monitoring

• Authors : Lang, Xiao, 1992; Nilsson, Håkan, 1971; Mao, Wengang, 1980

Subjects: renewable energy system; data-driven modeling; hydropower operation

• Source: Renewable Energy. 256

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Augmented geometry assurance digital twin with physics-based incremental learning

• Authors : Sadeghi Tabar, Roham, 1989; Söderberg, Rikard, 1963; Ceglarek, Dariusz

Subjects: digital twin; quality assurance; Tolerancing

• Source: Digital synkronisering av geometridata för effektiva värdekedjor (DigiSync) CIRP Annals - Manufacturing Technology. 74(1):151-155

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Uncertainty aware domain incremental learning for cross domain depression detection

• Authors : Lifelo, Zita; Ding, Jianguo, 1968; Ning, Huansheng

Subjects: Major depressive disorder; Data-free domain alignment; Incremental learning

• Source: Scientific Reports. 15(1)

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A Data-Adaptive Loss Function for Incomplete Data and Incremental Learning in Semantic Image Segmentation

• Authors : Vu, Minh Hoang; Norman, Gabriella; Nyholm, Tufve

Subjects: Adaptation models; Computational modeling; CT

• Source: IEEE Transactions on Medical Imaging. 41(6):1320-1330

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Learning optimal inter-class margin adaptively for few-shot class-incremental learning via neural collapse-based meta-learning

• Authors : Ran, Hang; Li, Weijun; Li, Lusi

Subjects: Few-shot class-incremental learning; Meta-learning; Neural collapse

• Source: Information Processing & Management. 61(3)

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A survey on few-shot class-incremental learning

• Authors : Tian, Songsong; Li, Lusi; Li, Weijun

Subjects: Catastrophic forgetting; Class-incremental learning; Few-shot learning

• Source: Neural Networks. 169:307-324

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Liquid Neural Network-based Adaptive Learning vs. Incremental Learning for Link Load Prediction amid Concept Drift due to Network Failures

• Authors : Ayoub, Omran; Andreoletti, Davide; Knapinska, Aleksandra, 1996

Subjects: Adaptive Learning; Incremental Learning; Traffic Prediction

• Source: 2024 International Conference on Optical Network Design and Modeling, Madrid, Spain Proceedings of the 2024 International Conference on Optical Network Design and Modeling, ONDM 2024.

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Leveraging Federated Learning & Blockchain to counter Adversarial Attacks in Incremental Learning

• Authors : Kebande, Victor R., Dr; Alawadi, Sadi; Bugeja, Joseph

Subjects: Federated learning; adversarial; blockchain

• Source: IoT '20 Companion. :1-5

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Correctness and Performance of an Incremental Learning Algorithm for Finite Automata

• Authors : Meinke, Karl; Sindhu, Muddassar

Subjects: SOCIAL SCIENCES; Statistics; computer and systems science

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Incremental Learning and Testing of Reactive Systems

• Authors : Sindhu, Muddassar;

Subjects: Incremental learning; software testing; specification based testing

• Source: Trita-CSC-A.

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