Search Results - research algorithm

Enhancing action recognition in educational settings using AI-driven information systems for public health monitoring by Changchun Lu, Han Ruijuan

“…Traditional methods, which primarily rely on rule-based algorithms or handcrafted feature extraction, face significant challenges in adaptability, scalability, and real-time processing. …”
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Post COVID-19 Conditions and Neurocognitive Impairment—Current Findings and Clinical Implications by Tarek Jebrini, Michael Ruzicka, Hans Stubbe, Kristina Adorjan

“…This perspective emphasizes the need for evidence-based diagnostic algorithms that integrate both subjective and objective NCI, explicitly addressing the risk of stigmatization. …”
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Impacts of noise and interference on the bit error rate of the FBMC-OQAM modulation scheme in 5G systems by A. Androon, O. V. Tikhonova

“…The research results can be used in the development of 5G networks.…”
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Assessment of pulmonary embolism probability using a machine learning model by D. V. Gavrilov, A. E. Andreichenko, A. D. Ermak, T. Yu. Kuznetsova, A. V. Gusev

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Transcriptomic exploration yields novel perspectives on the regulatory network underlying trichome initiation in Gossypium arboreum hypocotyl by Yuxing Xie, Luying Yang, Zewei Zhao, Mingquan Ding, Yuefen Cao, Xin Hu, Junkang Rong

“…Utilizing three machine learning algorithms (SVM-RFE, Boruta, and LASSO), we consistently prioritized five key regulators: Ga02G1392 (TBR), Ga03G0474 (OMR1), Ga12G2860 (ACO1), Ga11G2117 (BBX19), and Ga12G2864 (CUE). …”
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Syllable-, Bigram-, and Morphology-Driven Pseudoword Generation in Greek by Kosmas Kosmidis, Vassiliki Apostolouda, Anthi Revithiadou

“…Pseudowords are essential in (psycho)linguistic research, offering a way to study language without meaning interference. …”
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A Comparative study of the Envisaged and Definite Stock Prices of BSE SMEs Using RNN during the COVID-19 Pandemic by S. Kaur, A. Munde, A. K. Goyal

“…The stock market is unstable, but the use of machine learning algorithms allows to predict its future dynamics before spending. …”
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A review of ultrasound monitoring applications in agriculture by Muhammad Awais Sattar, Dina Shona Laila

“…Finally, the review also discusses the current limitations and future research directions of how ultrasound-based monitoring can catalyse a new paradigm of sustainable data-driven agriculture that meets food security needs.…”
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Detecting Unbalanced Network Traffic Intrusions With Deep Learning by S. Pavithra, K. Venkata Vikas

“…To overcome these challenges, this project proposes a novel hybrid Intrusion Detection System using machine learning algorithms, which includes XGBoost, Long Short-Term Memory (LSTM), Mini-VGGNet, and AlexNet, which is used to handle the unbalanced network traffic data. …”
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Interactive Mitigation of Biases in Machine Learning Models for Undergraduate Student Admissions by Kelly Van Busum, Shiaofen Fang

“…Bias and fairness issues in artificial intelligence (AI) algorithms are major concerns, as people do not want to use software they cannot trust. …”
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The Use of Artificial Intelligence in Combating Financial Crimes and Money Laundering in International Trade A Data-Driven Analysis (2010–2024) by Balouz Mohamed

“…  This research paper evaluates the transformative impact of artificial intelligence (AI) in combating financial crimes and money laundering within international trade from 2010 to 2024. …”
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IMMUNOPATHOGENESIS OF MYASTHENIA GRAVIS (REVIEW) by E. D. Gasymly

“…Thanks to the development of biotechnological methods, the researchers were able to identify the subtype of lymphocytes involved in the development of myasthenia gravis. …”
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The role of artificial intelligence in enhancing disaster preparedness and trauma care by Mohamad Sorani

“…This article underscores the urgent need for interdisciplinary research, investment, and international cooperation to fully realize AI's transformative potential in these critical fields.…”
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Crash severity prediction using a virtual geometry-group-based deep learning approach with images-based feature representation by Nanon Sonnatthanon, Kasem Choocharukul

“…Accurate prediction of accident severity is essential for developing effective road safety interventions. While previous research has explored various statistical and machine learning models, their predictive performance has been limited due to a primary focus on accurate metrics and the challenges posed by discrete accident data. …”
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Averaging gate approximation error and performance of Unitary Coupled Cluster ansatz in Pre-FTQC Era by Kohdai Kuroiwa, Yuya O. Nakagawa

“…Fault-tolerant quantum computation (FTQC) is essential to implement quantum algorithms in a noise-resilient way, and thus to enjoy advantages of quantum computers even with presence of noise. …”
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A Review of Vibration Control Studies of Double-Layered Cylindrical Shells Under Transient Excitation in Water by Zhen Zhang, Yinglong Zhao, Feng Chen

“…Compared with the field of traditional mechanical noise, research on vibration control of the noise that is transiently excited underwater still has significant deficiencies in terms of its theoretical depth and systematicity. …”
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For a Semiotic Approach to Generative Image AI by Enzo D'Armenio, Maria Giulia Dondero, Adrien Deliège, Alessandro Sarti

“…Reciprocally, these tests on AIs aid our understanding of the two semiotic macro-criteria used, notably leading to a multiplication of enunciative instances in image production. Databases, algorithms, prompts, and aleatoric elements act as discursive agents.…”
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Non­Destructive Testing of Growth Productivity by A. P. Grishin, A. A. Grishin, N. A. Semenova

“…It is important to control the intensity of these processes in a dynamic mode. (Research purpose) To develop a non-destructive method for controlling the plant productivity growth to create algorithms for controlling the plant production processes. …”
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COMPARATIVE EVALUATION OF INDICATORS OF STRUCTURAL AND MECHANICAL PROPERTIES OF WHEAT GRAIN by P. V. Medvedev, V. A. Fedotov, E. S. Lukyanova

“…Information about them must be taken into account when preparing grain for processing.The aim of the research was a comparative assessment of the effect of virtuosity and hardness of grain on the quality of the obtained flour and bakery and pasta made from it. …”
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Frequency Characteristics of Rhythm Non-Assimilation in Canine Ventricular Fibrillation by M. I. Guryanov

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