Efficient Ensemble Learning with Curriculum-Based Masked Autoencoders for Retinal OCT Classification. [PDF]
Diagnostics (Basel)Yoon T, Kang D.
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Sustainable Development, EarlyView.ABSTRACT Sustainable livestock manure management sits at the nexus of climate, nutrient circularity and water quality. This review explores how artificial intelligence (AI) and digital platforms are used across four management stages, that is, treatment, storage, valorisation and distribution, and figures out where integration fails to deliver ...
Zhan Shi +3 more
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Bidirectional cross-day alignment of neural spikes and behavior using a hybrid SNN-ANN algorithm. [PDF]
Front NeurosciHong B, Xu Z, Zhang T, Zhang T.
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Strategic Management Journal, EarlyView.Abstract Research Summary Firm technological research has the potential to spawn multiple applications. Despite recognizing such potential, past literature disagrees on the process through which firms discover and grow new applications out of their past technological research.
Xirong (Subrina) Shen
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An Adaptive Blockchain Framework for Federated IoMT with Reinforcement Learning-Based Consensus and Resource Forecasting. [PDF]
Sci RepMurthy CHVNUB, Shri ML.
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Raman Microspectroscopy for Structural Indication in Ultrafast Laser Writing
Small Methods, EarlyView.Raman microspectroscopy is demonstrated as an in situ, phase‐specific probe for femtosecond laser fabrication in diamond. Multiple spectral indicators are systematically evaluated and correlated with electrical performance, establishing a robust methodology for process monitoring.
Xingrui Cheng +5 more
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Deep learning approaches for resolving genomic discrepancies in cancer: a systematic review and clinical perspective. [PDF]
Brief BioinformZubair M, Khan AH, Bilal SF, Li J.
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CAAI Transactions on Intelligence Technology, EarlyView.Abstract Graph neural networks (GNNs) have revolutionised the processing of information by facilitating the transmission of messages between graph nodes. Graph neural networks operate on graph‐structured data, which makes them suitable for a wide variety of computer vision problems, such as link prediction, node classification, and graph classification.
Amit Sharma +4 more
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Integrating state-space modeling, parameter estimation, deep learning, and docking techniques in drug repurposing: a case study on COVID-19 cytokine storm. [PDF]
J Am Med Inform AssocBakshi A +5 more
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Boosted unsupervised feature selection for tumor gene expression profiles
CAAI Transactions on Intelligence Technology, EarlyView.Abstract In an unsupervised scenario, it is challenging but essential to eliminate noise and redundant features for tumour gene expression profiles. However, the current unsupervised feature selection methods treat all samples equally, which tend to learn discriminative features from simple samples.
Yifan Shi +5 more
wiley +1 more source