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  1. 5381

    Feature Importance Analysis for Compressive Bearing Capacity of HSCM Piles Based on GA-BPNN by Fangzhou Chu, Jiakuan Ma, Yang Luan, Shilin Chen

    Published 2025-08-01
    “…To address the complex pile–soil interaction mechanisms in predicting the compressive bearing capacity of HSCM piles (Helix Stiffened Cement Mixing piles) in marine soft soil regions, this study proposes an intelligent prediction method based on a GA-BPNN (Genetic Algorithm-Optimized Back Propagation Neural Network). …”
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  2. 5382

    Electrochemical Sensing of Dopamine Neurotransmitter by Deep Eutectic Solvent–Carbon Black–Crosslinked Chitosan Films: Charge Transfer Kinetic Studies and Biological Sample Analysi... by Alencastro Gabriel Ribeiro Lopes, Rafael Matias Silva, Orlando Fatibello-Filho, Tiago Almeida Silva

    Published 2025-07-01
    “…Furthermore, the sensor presented good precision, as shown from the repeatability tests. The presented method to electrochemically detect DA has proven to be efficient and simple compared to the conventional methods commonly reported.…”
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  3. 5383

    Adaptive gradient scaling: integrating Adam and landscape modification for protein structure prediction by Vitalii Kapitan, Michael Choi

    Published 2025-07-01
    “…Abstract Background Protein structure prediction is one of the most important scientific problems, on the one hand, it is one of the NP-hard problems, and on the other hand, it has a wide range of applications including drug discovery and biotechnology development. Since experimental methods for structure determination remain expensive and time-consuming, computational structure prediction offers a scalable and cost-effective alternative and application of machine learning in structural biology has revolutionized protein structure prediction. …”
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  4. 5384

    Leveraging SPI-DMA for PROFINET Isochronous IRT Cyclic Communication by Oguz Ciloglu, Ihsan Gokhun Onel, Omer Korcak

    Published 2025-01-01
    “…SPI, a synchronous communication protocol widely used in embedded systems, facilitates efficient data exchange between MCUs and peripheral devices. …”
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    Article
  5. 5385

    The Role of Innovative Entrepreneurship in the Economic Development of EU Member Countries by Rodica Crudu

    Published 2019-01-01
    “…Given the nature of contemporary highlights of the literature review and the stated research objective, in this article, a model was tested that captures the new or young and innovative firms, as aspects of innovative entrepreneurship and determinants of the economic growth rates. The research method used is regression model analysis. …”
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  6. 5386

    Threat Modeling AI/ML With the Attack Tree by Seied Veria Hoseini, Jaakko Suutala, Juha Partala, Kimmo Halunen

    Published 2024-01-01
    “…This article aims to bridge this gap by proposing a simple, efficient, and time-saving approach to evaluate potential attacks and their security risks by utilizing the attack tree and a risk analysis method in the Adversarial Machine Learning (AML) field. …”
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  7. 5387

    Investigating critical thinking skills in Arabic textbooks exercises of junior high schools based on Lipman's Theory by Fatemeh Irandoost, Maryam Jalaei, Abbas Zare-ee Tajareh

    Published 2023-09-01
    “…The methodology applied in this research is descriptive as well as content analysis methodology and Shannon entropy weighting method has been used in order to determine the importance coefficient of the studied components. …”
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    Article
  8. 5388

    Smart technique for calculating fault current model parameters using short circuit current measurements by R. A. Mahmoud, O. P. Malik, W. M. Fayek

    Published 2025-08-01
    “…The quantitative findings indicate that the method has high feasibility, and can achieve reliability, accuracy, and speed in estimating fault current parameters. …”
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    Article
  9. 5389

    Research on Underwater Sensor Network Adaptive Clustering Algorithm for Marine Environment Monitoring by Libin Xue, Chunjie Cao, Rongxin Zhu

    Published 2024-11-01
    “…This demonstrates that the algorithm can achieve efficient energy utilization and notably enhance network performance.…”
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    Article
  10. 5390

    Notice of Violation of IEEE Publication Principles: VVC/H.266 Intra Mode QTMT Based CU Partition Using CNN by Sameena Javaid, Safdar Rizvi, Muhammad Talha Ubaid, Abdullah Tariq

    Published 2022-01-01
    “…The current paper proposes a deep learning technique to predict the QTMT based CU split rather than just the brute-force QTMT method to substantially speed up the time of the encoding process for VVC/H.266 intra mode. …”
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    Article
  11. 5391

    Exploration and Practice of Classification Indexing Combined with Large Language Models by JIANG Peng, REN Yan, ZHU Beiling

    Published 2024-05-01
    “…On this basis, the actual indexing workflow is optimized to increase the systematicity and coherence of the indexing work, ensuring that every step from document input to final classification is more efficient and accurate. This optimized workflow has been put into use in the R and F categories of the collection, and it can improve the efficiency of indexing by 1.1 to 1.4 times. …”
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  12. 5392

    Design of optimized single-switch capacitor cell balancing for EV battery management by Anjan N. Padmasali, Savitha G. Kini, Arun P. Parameswaran

    Published 2025-09-01
    “…The novelty of this study is the development of a selective combinational control algorithm based on the shuttling switched capacitor method, which dynamically switches between two balancing strategies depending on the number of high-SoC cells relative to the average, enabling efficient any-cell-to-any-cell active balancing across more than two series-connected cells. …”
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  13. 5393

    Hydrogen fueling station: review of the technological state of hydrogen fuel usage by A. A. Chichirov, R. I. Razakova, F. R. Gainutdinov, D. F. Gainutdinova

    Published 2024-06-01
    “…Determining the optimal operating parameters of HRS equipment based on the thermodynamics of processes, considering the specifics of temperature regimes of Russian regions, is important for reducing costs and increasing the energy efficiency of hydrogen fuel systems. …”
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  14. 5394

    Global strategies for implementing health financing equity – a state-of-the-art review of political declarations by Alexandre Nimubona, Innocent Yandemye, Chartière Nigaba, Beatrice Abura

    Published 2025-02-01
    “…Abstract Background Implementing health financing equity plays a determining role in achieving Universal Health Coverage. …”
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  15. 5395

    «Management of a pharmaceutical organization» – practical communicative lectures in English by Alexandra A. Efimova, Anastasia I. Liashko, Evgenia A. Tsitlionok

    Published 2022-09-01
    “…The key points of interaction with residents for more efficient work and increasing their motivation in the educational process have been identified. …”
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  16. 5396

    Sentiment analysis for depression detection: A stacking ensemble-based deep learning approach by Kinza Noor, Mariam Rehman, Maria Anjum, Afzaal Hussain, Rabia Saleem

    Published 2025-12-01
    “…Due to the widespread prevalence of this disorder in society, novel and efficient methods must be developed for effective detection and treatment. …”
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  17. 5397

    A blockchain technology for improving financial flows in humanitarian supply chains: benefits and challenges by Saurav Negi

    Published 2025-04-01
    “…Purpose – This study aims to determine how the applications of blockchain technology (BT) can play a crucial role in managing financial flows in the humanitarian supply chain (HSC) and what benefits and challenges are associated with BT in a humanitarian setting. …”
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  18. 5398

    FTLNet: federated deep learning model for multi-horizon wind power forecasting by Majad Mansoor, Gong Tao, Adeel Feroz Mirza, Balal Yousaf, Muhammad Irfan, Wei Chen

    Published 2025-03-01
    “…This paper presents a groundbreaking approach that leverages Federated Transfer Learning (FTL) in conjunction with Additive Attention Temporal Neural Network architectures, focusing on the competitive wind power forecasting. Our method integrates the sophisticated capabilities of Gated Residual Networks with a strategic process of feature selection, tailored for the unique demands of secure and efficient power forecasting. …”
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