Analysis of Surface Plasmon Resonance Indicators Using Bayesian Recognition Procedures with Independent Signs in Gliomas, Metastases and Meningiomas [PDF]
Кібернетика та комп'ютерні технології, 2021 Introduction. The article discusses the application of Bayesian recognition procedures with independent signs in relation to the data of the plasmon resonance indicators (PRI), which were taken from patients with gliomas, metastases, meningiomas ...
Andrii Tarasov
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Bayesian Recognition Procedures with Independent Signs of Inflammatory Processes in Gliomas, Metastases and Meningiomas by Indicators of Erythrocyte Sedimentation Rate [PDF]
Кібернетика та комп'ютерні технології, 2021 Introduction. The article discusses the application of Bayesian recognition procedures with independent signs in relation to the data of the modified erythrocyte sedimentation rate, which were taken from patients with gliomas, metastases, meningiomas ...
Andrii Tarasov
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Modification of the Use of Bayesian Recognition Procedures for Inflammatory Processes in Gliomas, Metastasis and Meningiomas by Indicators of Erythrocyte Sedimentation Rate [PDF]
Кібернетика та комп'ютерні технології, 2021 Introduction. The article discusses the application of Bayesian recognition procedures with one independent feature in relation to the erythrocyte sedimentation rate data taken from patients with gliomas, metastases, meningiomas, traumatic brain injury ...
A.L. Tarasov, A.M. Gupal, N.Ya. Gridina
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An Adaptive Task-Related Component Analysis Method for SSVEP Recognition [PDF]
Sensors, 2022 Steady-State Visual Evoked Potential (SSVEP) recognition methods use a subject’s calibration data to differentiate between brain responses, hence, providing the SSVEP-based brain–computer interfaces (BCIs) with high performance.
Vangelis P. Oikonomou
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Scientific ReportsEmotional facial expression recognition is a key ability for adequate social functioning. The current study aims to test if the differential outcomes procedure (DOP) may improve the recognition of dynamic facial expressions of emotions and to further ...
Antonio González-Rodríguez +5 more
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Sensors, 2018 Human activity recognition (HAR) is essential for understanding people’s habits and behaviors, providing an important data source for precise marketing and research in psychology and sociology. Different approaches have been proposed and applied to
Gaojing Wang +5 more
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Incorporating Uncertainty in Machine Learning Models to Improve Early Detection of Flavescence Dorée: A Demonstration of Applicability [PDF]
SensorsEarly detection of Flavescence dorée leaf symptoms remains an open question for the research community. This work tries to fill this gap by proposing a methodology exploiting per-pixel data obtained from hyperspectral imaging to produce features suitable
Cristina Nuzzi +3 more
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Bayesian and Neural Inference on LSTM-Based Object Recognition From Tactile and Kinesthetic Information [PDF]
IEEE Robotics and Automation Letters, 2021 Recent advances in the field of intelligent robotic manipulation pursue providing robotic hands with touch sensitivity. Haptic perception encompasses the sensing modalities encountered in the sense of touch (e.g., tactile and kinesthetic sensations ...
Francisco Pastor +6 more
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Deep Kernel and Image Quality Estimators for Optimizing Robotic Ultrasound Controller using Bayesian Optimization [PDF]
International Symposium on Medical Robotics, 2023 Ultrasound is a commonly used medical imaging modality that requires expert sonographers to manually maneuver the ultrasound probe based on the acquired image.
Deepak Raina +4 more
semanticscholar +1 more source
Investigation of the Effectiveness of the Method for Recognizing Pre-Emergency Situations at Mining Facilities [PDF]
E3S Web of Conferences, 2020 In previous reports, an analysis of the basic mathematical methods used to solve the pattern recognition problem was carried out. The inappropriateness of applying the Bayesian classification and cluster analysis to solve the problem of recognizing pre ...
Abu-Abed Fares
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