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Classification of Motor-Imagery Tasks Using a Large EEG Dataset by Fusing Classifiers Learning on Wavelet-Scattering Features
Published 2023-01-01“…Brain-computer or brain-machine interface technology allows humans to control machines using their thoughts via brain signals. …”
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Cross-subject EEG signals-based emotion recognition using contrastive learning
Published 2025-08-01Get full text
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Distributed Heterogeneous Spiking Neural Network Simulator Using Sunway Accelerators
Published 2024-12-01“…Spiking Neural Network (SNN) simulation is very important for studying brain function and validating the hypotheses for neuroscience, and it can also be used in artificial intelligence. Recently, GPU-based simulators have been developed to support the real-time simulation of SNN. …”
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Enhancing Agricultural Sustainability Through Intelligent Irrigation Using PVT Energy Applications: Implementing Hybrid Machine and Deep Learning Models
Published 2025-04-01“…This research focuses on developing an intelligent irrigation solution for agricultural systems utilising solar photovoltaic-thermal (PVT) energy applications. …”
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Angiogenic Cell Precursors and Neural Cell Precursors in Service to the Brain–Computer Interface
Published 2025-07-01“…The application of artificial intelligence through the brain–computer interface (BCI) is proving to be one of the great advances in neuroscience today. …”
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ARTIFICIAL INTELLIGENCE AND TRADEMARK PROTECTION
Published 2023-06-01“…Artificial Intelligence became a very useful tool for intellectual property offices, being used to create an interface with users, to assist applicants in online filings and also in connection to examination proceedings. …”
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Identification method of roof rock interface based on response characteristics of drilling parameters
Published 2025-02-01“…This paper investigates measurement while drilling for rock strata interface to achieve geological transparency, promote intelligence development, and address the limitations of traditional rock detection methods in coal mines, including slow speed, high costs, and poor accuracy. …”
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Enhancing Air Quality Forecasting Using Machine Learning Techniques
Published 2024-01-01“…The proposed approach presents the significance of the system as a transformative solution for sustainable urban living and air quality control, emphasizing the use of cutting-edge technology, data-driven insights, and community engagement to address pressing urban challenges.…”
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Study on multimodal crack growth of FG-TBCs and its influence on interface cracking
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Boosting brain-computer interface performance through cognitive training: A brain-centric approach
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Development and Evaluation of a Tool for Blind Users Utilizing AI Object Detection and Haptic Feedback
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Navigating next-gen nutrition care using artificial intelligence-assisted dietary assessment tools—a scoping review of potential applications
Published 2025-01-01“…Hence, this review aimed to explore the applications of AI-assisted dietary assessment tools in real-world settings that could potentially enhance Next-Gen nutrition care delivery.Materials and methodsA total of 17,613 original, full-text articles using keywords such as “artificial intelligence OR food image analysis OR wearable devices AND dietary OR nutritional assessment,” published in English between January 2014 and September 2024 were extracted from Scopus, Web of Science, and PubMed databases. …”
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