Current continual learning methods can utilize labeled data to alleviate catastrophic forgetting effectively. However, ...
Classification of benthic habitats in the deep sea is instrumental in managing and monitoring marine ecosystems as it provides distinct units for which changes can be quantified over time. These ...
Abstract: Synthetic aperture radar (SAR) data classification has gained significant research interest, as accurate land-cover information is vital in a wide range of planning and management activities ...
Tesla just added full Robotaxi functionality in the latest app update—quietly prepping for launch next month. There is the need for Tesla to launch Supervised and unsupervised ridesharing in June in ...
Background: Free-text comments in patient-reported outcome measures (PROMs) data provide insights into health-related quality of life (HRQoL). However, these comments are typically analysed using ...
ABSTRACT: The stochastic configuration network (SCN) is an incremental neural network with fast convergence, efficient learning and strong generalization ability, and is widely used in fields such as ...
Abstract: Circulating tumor cell (CTC) detection is crucial for reducing cancer mortality and disease burden. Traditional methods rely on the physical or biological properties of CTCs and involve ...
Forbes contributors publish independent expert analyses and insights. Writes about the future of finance and technology, follow for more. We live in a world where machines can understand speech, ...
Department of Information Systems, College of Computer Science and Engineering, Taibah University, Madinah, Saudi Arabia. Therefore, further exploration is vital to discover a complete set of risk ...
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