Search Results - signal data processing and classification

Electrophysiological effects of kappa-opioid analgesic, RU-1205, using machine learning methods by K. Yu. Kalitin, O. Yu. Mukha, A. A. Spasov

“…Subsequently, machine learning methods were employed to reduce the dimensionality and extract connectivity features using the principal component analysis method, then a signal classification was performed (models based on Gaussian processes). …”
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Pengaruh Ciri Temporal, Spasial, dan Frekuensi pada Klasifikasi Motor Imagery by Afin Muhammad Nurtsani, Muhammad Adib Syamlan, Agung Wahyu Setiawan

“…The first step of the classification process is data preprocessing that is performed using BPF Butterworth 5th order with a cut-off frequency of 8 - 30 Hz. …”
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Performance Enhancement of Steady-State Visual Evoked Field-Based Brain–Computer Interfaces Incorporating MEG Source Imaging by Ye-Sung Kim, Hyojeong Han, Cheong-Un Kim, Soo-In Choi, Min-Young Kim, Chang-Hwan Im

“…Additionally, the ASLW-FBMSI algorithm exhibited a short processing delay of 0.107 s at a 4-s data length and was successfully validated in online BCI experiments with 20 participants. …”
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Financial and Economic Consequences of Distribution of Artificial Intelligence as a General-Purpose Technology by V. E. Rasskazov

“…The research did not expose general-purpose technology signals in the given time interval. The author concluded that under a quality classification, artificial intelligence is a general-purpose technology; however, at this stage, it is impossible to empirically observe the economic effect of the technology distribution. …”
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Mechanistic and epidemiological evidence on the relationship between microbiota, virome and carcinogenesis by M. G. Yakubovskaya, T. I. Fetisov, L. G. Solenova, N. I. Ryzhova, A. V. Lokhonina, I. A. Antonova, G. A. Belitsky, K. I. Kirsanov, V. V. Aginova

“…The presented review is devoted to the analysis and generalization of modern data on microorganisms and viruses inhabiting the human body, their role in the processes of initiation, promotion and progression of carcinogenesis. …”
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The cognitive impacts of large language model interactions on problem solving and decision making using EEG analysis by Ting Jiang, Jihua Wu, Stephen C. H. Leung

“…Traditional evaluation methods have primarily focused on task performance, overlooking the underlying neural dynamics during interaction.MethodsIn this study, we introduce a novel framework that leverages electroencephalography (EEG) signals to assess how LLM interactions affect cognitive processes such as attention, cognitive load, and decision-making. …”
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Influence on mitogen-activated protein kinases as a new direction of connective tissue growth regulation by I. A. Shurygina, M. G. Shurygin, N. V. Zelenin, N. I. Ayushinova

“…This review presents current classification, functions of main groups of mitogen-activated protein kinases (MAPK) and summarizes data on the ways of their activation and functioning, giving particular emphasis to p38 MAPK. …”
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Associations between pre-cue parietal alpha oscillations and event related desynchronization in motor imagery-based brain-computer interface by Mohamed A. Mohamed, Joshua Giles, Mashael AlSaleh, Mahnaz Arvaneh

“…IntroductionMotor Imagery based brain-computer interfaces (MI-BCIs) offer a promising avenue for controlling external devices via neural signals generated through imagined movements. Despite their potential, the performance of MI-BCIs remains highly variable across users and sessions, presenting a barrier to broader adoption.MethodsThis study explores the influence of pre-cue parietal alpha power on the quality of the event-related desynchronization (ERD) responses, a critical indicator of MI processes. …”
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Predicting Return-to-Sport Timeline: Classifying Anterior Cruciate Ligament Health Levels Post-Reconstruction Surgery Using Convolutional Neural Networks by Zeinab Jafari, Ali Sharifnezhad, Mohammad Razi, Mohammad Haghpanahi, Arash Maghsoudi

“…This study demonstrates the potential of DCNN classification using sEMG signals to estimate RTS time, providing valuable insights into ACLR recovery in athletes.…”
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Spectro-Image Analysis with Vision Graph Neural Networks and Contrastive Learning for Parkinson’s Disease Detection by Nuwan Madusanka, Hadi Sedigh Malekroodi, H. M. K. K. M. B. Herath, Chaminda Hewage, Myunggi Yi, Byeong-Il Lee

“…This study presents a novel framework that integrates Vision Graph Neural Networks (ViGs) with supervised contrastive learning for enhanced spectro-temporal image analysis of speech signals in Parkinson’s disease (PD) detection. The approach introduces a frequency band decomposition strategy that transforms raw audio into three complementary spectral representations, capturing distinct PD-specific characteristics across low-frequency (0–2 kHz), mid-frequency (2–6 kHz), and high-frequency (6 kHz+) bands. …”
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Advanced Interpretation of Bullet-Affected Chest X-Rays Using Deep Transfer Learning by Shaheer Khan, Nirban Bhowmick, Azib Farooq, Muhammad Zahid, Sultan Shoaib, Saqlain Razzaq, Abdul Razzaq, Yasar Amin

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A LINK BETWEEN AUTOPHAGY REGULATORY PROTEINS M-TOR AND BECLIN-1 AND PARAMETERS OF LYMPHOGENIC METASTASIS IN COLORECTAL CANCER by S. V. Vtorushin, K. V. Rachkovsky, N. V. Krakhmal, I. V. Stepanov, M. V. Zavyalova

“…Autophagy regulation is a complicated and multi-stage process. The main regulator here is a  signaling pathway that activates serine/threonine protein kinase m-TOR (the mammalian  target of rapamycin). …”
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A Multi-Feature Fusion Approach for Road Surface Recognition Leveraging Millimeter-Wave Radar by Zhimin Qiu, Jinju Shao, Dong Guo, Xuehao Yin, Zhipeng Zhai, Zhibing Duan, Yi Xu

“…Subsequently, a novel radar data reconstruction approach is presented. This method involves fitting discrete echo signals into coordinate curves. …”
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