Showing 1,141 - 1,160 results of 21,111 for search 'Data analysis learning', query time: 0.33s Refine Results
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    Detection of Anomalies in Data Streams Using the LSTM-CNN Model by Agnieszka Duraj, Piotr S. Szczepaniak, Artur Sadok

    Published 2025-03-01
    “…This paper presents a comparative analysis of selected deep learning methods applied to anomaly detection in data streams. …”
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    Article
  3. 1143

    Censoring Sensitivity Analysis for Benchmarking Survival Machine Learning Methods by János Báskay, Tamás Mezei, Péter Banczerowski, Anna Horváth, Tamás Joó, Péter Pollner

    Published 2025-02-01
    “…(1) Background: Survival analysis models in clinical research must effectively handle censored data, where complete survival times are unknown for some subjects. …”
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    MACHINE LEARNING AND ECONOMETRICS: BRIDGING THE GAP FOR ENHANCED ECONOMIC ANALYSIS by Jamiu Adeniyi Yusuf, Abdulkadri IDRIS, Azeez Olawale AKINLOLU

    Published 2025-03-01
    “…The findings suggest that interdisciplinary collaboration between economists and data scientists will be crucial for advancing economic analysis and translating machine learning innovations into practical economic insights. …”
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    Comparative analysis of machine learning algorithms for money laundering detection by Sunday Adeola Ajagbe, Simphiwe Majola, Pragasen Mudali

    Published 2025-07-01
    “…This study’s approach involves data collecting, system design, implementation, data analysis, and experimental setup. …”
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    Article
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    LEARNING OBSTACLES ANALYSIS ON MULTIPLICATION OF NATURAL NUMBERS IN ELEMENTARY SCHOOL by Siti Maryam Rohimah, Salma Nur Anaya, Sarah Anida Putri, Yusup Nurdiansah

    Published 2024-11-01
    “…Data analysis techniques include data collection, reduction, display, and conclusion. …”
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    Prediction of stock market using sentiment analysis and ensemble learning by Dr․ Archana Y. Chaudhari, Dr․ Smita Mahajan

    Published 2025-06-01
    “…The created computational framework intends to deliver actionable insights, directing investors on optimal buy or sell decisions to maximize profit potential by synthesizing historical data within customized training and trading scenarios. • This study implements the Stock market prediction based on Deep Reinforcement Learning (DRL) using Technical Analysis and financials’ statement. • DRL models like A2C, PPO2, and SAC, using data from Yahoo Finance, enhance investment decisions. • The proposed Policy Adaptation with Trust Region Optimization (PACTRO) method optimizes policy adaptation within trust regions. • Key technical indicators like ROC, MACD, Bollinger Bands, and RSI are crucial inputs for the prediction framework, helping guide optimal investment decisions.…”
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  15. 1155

    Applications of machine learning in decision analysis for dose management for dofetilide. by Andrew E Levy, Minakshi Biswas, Rachel Weber, Khaldoun Tarakji, Mina Chung, Peter A Noseworthy, Christopher Newton-Cheh, Michael A Rosenberg

    Published 2019-01-01
    “…Principal component analysis and cluster analysis identified 8 clusters as a reasonable data reduction method. …”
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    ANALYSIS DIMENSIONS OF CREATIVITY IN STEM INTEGRATED PROJECT-BASED LEARNING by Prapawan Thongsri, Eko Susilowati

    Published 2021-11-01
    “…Data were analyzed by calculating the normality test, difference test, andn gain. …”
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    Comparative Analysis of Machine Learning Algorithms on Family Wellness Classification by Retno Budiarti, Febri Hemarani, Mohammad Reza, Rindi Melati Mulyasari

    Published 2024-11-01
    “…The data used in this study is demographic and social statistics data from the years 2017-2021, obtained from the bps.go.id website. …”
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    A simplified approach for efficiency analysis of machine learning algorithms by Muthuramalingam Sivakumar, Sudhaman Parthasarathy, Thiyagarajan Padmapriya

    Published 2024-11-01
    “…We applied this framework to two distinct datasets: medical image data and agricultural crop prediction data. The results demonstrate that our approach effectively differentiates algorithm performance based on the specific demands of each application. …”
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