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  1. 141

    Hydrogen-centric machine learning approach for analyzing properties of tricyclic anti-depressant drugs by Simran Kour, J. Ravi Sankar

    Published 2025-06-01
    “…This study examines how topological indices can help to predict the properties of TCA drugs, with a special focus on the role of the hydrogen representation.MethodsTwo molecular configurations were analyzed: one with only explicit hydrogen and the other including all hydrogen atoms. …”
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  2. 142

    Marginalized two part model for analyzing multilevel semicontinuous medical costs in Iranian households by Elham Daghaghele, Kambiz Ahmadi Angali, Naser Kamyari, Maryam Seyedtabib

    Published 2025-03-01
    “…Abstract Medical costs (MCs) represent a significant burden on household finances and often lead to economic challenges. This study analyzed the data of 8,993 Iranian households from 2021 collected by the Iranian Statistical Center. …”
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  3. 143

    Deep learning-based action recognition for analyzing drug-induced bone remodeling mechanisms by Li Qinsheng, Li Ming, Li Yuening, Zhao Xiufeng

    Published 2025-05-01
    “…A predictive pharmacological interaction model is integrated to quantify drug-target interactions, assess their systemic impacts, and simulate off-target effects. …”
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    Model Predictive Control of Distributed Energy Resources with Predictive Set-Points for Grid-Connected Operation by A. Saleh, A. Deihimi

    Published 2018-12-01
    “…This paper proposes an MPC - based (model predictive control) scheme to control active and reactive powers of DERs (distributed energy resources) in a grid - connected mode (either through a bus with its associated loads as a PCC (point of common coupling) or an MG (micro - grid)). …”
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    Analyzing and forecasting under-5 mortality trends in Bangladesh using machine learning techniques. by Shayla Naznin, Md Jamal Uddin, Ishmam Ahmad, Ahmad Kabir

    Published 2025-01-01
    “…<h4>Methods</h4>Data from the 1993-94 to 2017-18 Bangladesh Demographic and Health Survey (BDHS) was analyzed using advanced machine learning algorithms. …”
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  11. 151

    Analyzing Driving Safety Using Vehicle-Water-Filled Rutting Dynamics Model and Simulation by Yandi Zhang, Bobo Yuan, Yukun Chou

    Published 2022-01-01
    “…However, there is still no theoretical methodology with simulation to evaluate and predict the driving safety caused by rut-induced hydroplaning using vehicle dynamics. …”
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  12. 152

    A Comprehensive Study on the Applications of NTIM and OAFM in Analyzing Fractional Navier–Stokes Equations by Siddiq Ur Rehman, Rashid Nawaz, Faisal Zia, Nick Fewster-Young

    Published 2025-07-01
    “…Navier–Stokes equations have numerous practical uses, including analyzing fluid flow in pipelines and channels, predicting weather patterns, and constructing aircraft and vehicles.…”
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  13. 153

    PROJECT FINANCING ON HOUSING AND MUNICIPAL UTILITIES: ANALYZING THE PROJECT EFFICIENCY AFTER PUTTING IT INTO OPERATION by Yuriy Yu. Rusanov, Gul’mira S. Bektenova

    Published 2017-11-01
    “…Projects being financed through project financing are estimated on the basis of forecast values and predictable condition of economy. There are different sectors of economy which are the most appealing from the point of view of investment effectiveness. …”
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    IoT-Powered Mental Healthcare: Sleep State Analyzing and Monitoring Based on EEG Signals by Cong Thuan do, Nguyen Duy Khai, Tuan Dat Nguyen, Nguyen Tri Thanh, Pham Hoang Minh Chau, Anh Nam Le, Van Duc Nguyen, Trinh van Chien

    Published 2025-01-01
    “…The Cloud Server is employed to process the collected EEG signals and relies on various modern AI models to analyze and predict EEG activities and sleep stages. …”
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  17. 157

    Health Belief Model Theory Approach to Analyze Pregnant Women's Ability to Prevent Anemia by Deasy Irawati, Ali Madinah, Sri Wayanti, Esyuananik Esyuananik

    Published 2024-04-01
    “…The inability of pregnant women to prevent anemia needs to be predicted based on various factors using the Health Belief Model theory. …”
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    Analyzing and Rewarding Credit Card Spending Habits in India: a Machine Learning Approach by Renuka Agrawal, Aryan Khanna, Safa Hamdare

    Published 2025-07-01
    “…The proposed work addresses this gap by leveraging machine learning techniques to analyze and assess credit card spending patterns and propose design targeted reward programs. …”
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