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282“…Although multiple neurotechnological approaches have been reported in the literature, the detection and monitoring of neurotransmitters in the brain remains a challenge and continues to garner significant attention. …”
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283“…Also, the innate immune system can detect cellular and tissue perturbations caused by infections. …”
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284“…Skin detectors play a crucial role in many applications: face localization, person tracking, objectionable content screening, etc. Skin detection is a complicated process that involves not only the development of apposite classifiers but also many ancillary methods, including techniques for data preprocessing and postprocessing. …”
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288“…Thus, power may enhance focus on stereotypical cues to deception, thereby decreasing lie detection accuracy. In three studies, we tested whether having power affects lie detection accuracy. …”
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295“…The existing detection algorithms are not ideal for the detection of small objects. …”
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296por Shah, Asghar Ali, Alturise, Fahad, Alkhalifah, Tamim, Faisal, Amna, Khan, Yaser Daanial“…Many researchers work hard to detect cholangiocarcinoma, but this is after the appearance of symptoms, which is late detection. …”
Publicado 2023
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297por Chailloux Peguero, Juan David, Hernández-Rojas, Luis G., Mendoza-Montoya, Omar, Caraza, Ricardo, Antelis, Javier M.“…However, among multiple factors, the efficient performance of this technology is highly dependent on the stimulation paradigm applied in combination with the SSVEP detection algorithm employed. This paper proposes the performance assessment of the classification of target events with respect to non-target events by applying four types of visual paradigms, rectangular modulated On-Off (OOR), sinusoidal modulated On-Off (OOS), rectangular modulated Checkerboard (CBR), and sinusoidal modulated Checkerboard (CBS), with three types of SSVEP detection methods, Canonical Correlation Analysis (CCA), Filter-Bank CCA (FBCCA), and Minimum Energy Combination (MEC). …”
Publicado 2023
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298“…The findings confirm that the proposed object detection network effectively mitigates the impact of small targets in goat face detection, providing a solid basis for the development of intelligent management systems for modern livestock farms.…”
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299“…Developing accurate and rapid detection technology for malaria is important. Here, a novel hairpin-mediated amplification (HMA) technique was proposed for the detection of four Plasmodium species, including P. falciparum, P. vivax, P. malariae, and P. ovale. …”
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