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  1. 101

    Research on Adaptive Discriminating Method of Brain–Computer Interface for Motor Imagination by Jifeng Gong, Huitong Liu, Fang Duan, Yan Che, Zheng Yan

    Published 2025-04-01
    “…(1) <b>Background</b>: Brain–computer interface (BCI) technology represents a cutting-edge field that integrates brain intelligence with machine intelligence. …”
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  2. 102

    Advanced approaches to decoupled sensory signal monitoring in human interface systems by Se Gi Lee, Ki Jun Yu, Sang Min Won, Jae-Young Yoo

    Published 2025-01-01
    “…This review discusses methods for decoupling various stimuli and their applications in human interfaces. We cover the latest advancements in decoupled systems, including the design of sensing materials using micro/nanostructured materials, 3-dimensional (3D) sensory system architectures, and Artificial intelligence (AI)-based signal decoupling processing techniques. …”
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  3. 103
  4. 104

    Enhancing Agricultural Sustainability Through Intelligent Irrigation Using PVT Energy Applications: Implementing Hybrid Machine and Deep Learning Models by Youness El Mghouchi, Mihaela Tinca Udristioiu

    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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    Article
  5. 105

    Designing Predictive Tools for Personalized Functionalities in Knitted Performance Wear by Martijn ten Bhömer, Hai-Ning Liang, Difeng Yu, Yuanjin Liu, Yifan Zhang, Eva de Laat, Carola Leegwater

    Published 2019-07-01
    “…(2) How to design interactions and interfaces that use intelligent predictive algorithms to stimulate creativity during the fashion design process? …”
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    Article
  6. 106
  7. 107

    Smart Cognitive HMI With Automated Knowledge Extraction for Machine Tool by Jongsu Park, Jinho Son, Seongwoo Cho, Jumyung Um

    Published 2025-01-01
    “…In this case, the digital intelligent assistant can be used as an easy and unified interface to communicate with users and increase work efficiency. …”
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    Article
  8. 108

    Classification of Motor-Imagery Tasks Using a Large EEG Dataset by Fusing Classifiers Learning on Wavelet-Scattering Features by Tuan D. Pham

    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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  9. 109
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  11. 111

    ARTIFICIAL INTELLIGENCE AND TRADEMARK PROTECTION by George-Mihai IRIMESCU

    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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    Article
  12. 112

    Distributed Heterogeneous Spiking Neural Network Simulator Using Sunway Accelerators by Xuelei Li, Zhichao Wang, Yi Pan, Jintao Meng, Shengzhong Feng, Yanjie Wei

    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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  13. 113

    Angiogenic Cell Precursors and Neural Cell Precursors in Service to the Brain–Computer Interface by Fraser C. Henderson, Kelly Tuchman

    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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  14. 114
  15. 115

    Identification method of roof rock interface based on response characteristics of drilling parameters by LI Dianshang, LIU Cancan, WANG Chuanbing, REN Bo, REN Shuai, KANG Zhipeng

    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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  18. 118

    Navigating next-gen nutrition care using artificial intelligence-assisted dietary assessment tools—a scoping review of potential applications by Anuja Phalle, Devaki Gokhale

    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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  19. 119
  20. 120

    SD-YOLOv8: Automated Motion Detection System for Aerobics Students by Lian Tang, Ya Li, Qing Du, Jincheng Liang

    Published 2025-01-01
    “…Finally, we developed a user-friendly graphical interface using the PyQt framework, enabling visual deployment and real-time interaction with the model. …”
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    Article