Showing 641 - 660 results of 13,271 for search 'Data aiming techniques', query time: 0.19s Refine Results
  1. 641

    Comparative Analysis of SMOTE and ROSE Oversampling Techniques for kNN-Based Autonomous Vehicle Behavior Modeling by Celine Serbouh Touazi, Iness Ahriz, Ndeye Niang, Alain Piperno

    Published 2025-03-01
    “…We integrate these resampling techniques with Leave- One-Out Cross-Validation (LOO-CV), applying resampling at each iteration to ensure data balancing is tailored to each training set. …”
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    An Empirical Analysis of Above-Ground Biomass and Carbon Sequestration Using UAV Photogrammetry and Machine Learning Techniques by Thinnakon Angkahad, Teerawong Laosuwan, Satith Sangpradid, Narueset Prasertsri, Yannawut Uttaruk, Titipong Phoophathong, Joe Nuchthapho

    Published 2024-01-01
    “…In contrast, the machine learning analysis using the Deepness technique from UAV data estimated an above-ground biomass of 463,689.13 kg (463.68 tons), with a carbon sequestration of 217,933.89 kgCO2e (217.93 tCO2e). …”
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  4. 644

    Research Trends in Studies on Lifelong Learning: A Bibliometric Analysis with Visual Mapping Technique (2016-2020) by Duygu Gür Erdoğan

    Published 2020-12-01
    “…This study aims to use the bibliometric analysis method to examine the scientific articles published in the last five years (2016-2020) in the field of “lifelong learning” and to visualize the obtained data with the visual mapping technique. …”
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  5. 645

    Statistical and density-based clustering techniques in the context of anomaly detection in network systems: A comparative analysis by Aleksandr S. Baklashov, Dmitry S. Kulyabov

    Published 2025-06-01
    “…Anomaly detection plays a crucial role in ensuring net security and safeguarding data against cyberattacks. This study aims to review statistical and density-based clustering methods used for anomaly detection in network systems and to perform a comparative analysis based on a specific task. …”
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    High-Resolution Seismic Detection Techniques of the Pebble Layer of Baodun Site City Wall, Sichuan, China by Lian Jiang, Quanfeng Wang, Yongfa Wang, Jingxin Wu, Tieyong Bai, Miao Tang

    Published 2025-06-01
    “…Through high-frequency data acquisition, specialized processing, and interpretative analysis of seismic data, we successfully distinguish the two strata and delineate pebble-related anomalous zones. …”
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  9. 649

    The application of artificial intelligence techniques in predicting game outcomes of professional basketball league: A systematic review. by Chuxuan Li, Hao Zhang, Yuan Zhang, Jing Shen, Ruopeng An

    Published 2025-01-01
    “…Studies were included if they utilized artificial intelligence techniques, focused on professional leagues, and aimed to predict game outcomes.…”
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    Implementation of Deep Learning with Multilayer Perceptron (MLP) for Heart Disease Prediction Using the SMOTE-ENN Technique by Erliyan Redy Susanto, Erik Saputra

    Published 2025-06-01
    “…Heart disease is a leading cause of global mortality, with its prevalence increasing annually. This study aims to develop a heart disease prediction model using a Multilayer Perceptron (MLP) combined with the SMOTE-ENN resampling technique to address data imbalance issues. …”
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  12. 652

    Enhancing the students problem-solving ability through situation-based learning with the six thinking hats technique by Suriwan Wongsa, Kanyarat Cojorn

    Published 2024-12-01
    “…Enhancing this skill is crucial for overcoming daily challenges. Aims: This research aims to improve the problem-solving ability of Grade 11 students in Electrochemistry, targeting a minimum criterion of 70 percent proficiency, through the integration of Situation-Based Learning and the Six Thinking Hats technique. …”
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  13. 653

    DESIGN OF SMART TOURISM SYSTEMS TO FORECAST FOREIGN TOURIST ARRIVAL RATE USING DEEP LEARNING TECHNIQUES by Ratna Kanth Gudala, Ravi Kumar Suggala, Venkata Nagaraju Datla, Sri Krishna Adusumalli

    Published 2025-03-01
    “…This research focuses on developing smart tourism systems through data analytics and deep learning techniques, like RNN, LSTM-RNN, GRU-RNN, CNN, and DNN, to forecast foreign tourist arrivals. …”
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    Eeg based smart emotion recognition using meta heuristic optimization and hybrid deep learning techniques by M Karthiga, E Suganya, S Sountharrajan, Balamurugan Balusamy, Shitharth Selvarajan

    Published 2024-12-01
    “…Significant research has recently been undertaken on emotion identification with electroencephalogram (EEG) data. The aim of this project is to develop a system that can analyse an individual’s EEG and differentiate among positive, neutral, and negative emotional states. …”
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  16. 656

    Manual toothbrushing techniques for plaque removal and the prevention of gingivitis-A systematic review with network meta-analysis. by Renate Deinzer, Ulrike Weik, Zdenka Eidenhardt, Daniel Leufkens, Sonja Sälzer

    Published 2024-01-01
    “…Ten studies assessing the Fones, Bass, and Scrub techniques provided data eligible for the NMA. The confidence rating of the evidence varied from very low to high in the case of plaque, and from very low to low in the case of gingivitis. …”
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  17. 657

    Analysis of the efficacy and factors affecting the prognosis of intracranial dissecting aneurysm treated with multi-stent overlap technique by Xiaolin Li, Huojun Hu, Lei Wang, Gao Yuan, Changtao Fu, Jinyang Ma, Quan Shao, Zhao Kang

    Published 2024-12-01
    “…Abstract Objective The study aims to identify characteristics that impact the postoperative prognosis and recurrence of intracranial dissecting aneurysms (IDA) patients treated using multi-stent overlapping techniques. …”
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