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  1. 541
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  3. 543

    Transforming Manufacturing Quality Management with Cognitive Twins: A Data-Driven, Predictive Approach to Real-Time Optimization of Quality by Asif Ullah, Muhammad Younas, Mohd Shahneel Saharudin

    Published 2025-02-01
    “…Traditional quality management systems (QMS), through these reactive measures, are often inefficient because of their higher operational cost and delayed defect detection and mitigation. …”
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    Article
  4. 544

    BiCA-LI: A Cross-Attention Multi-Task Deep Learning Model for Time Series Forecasting and Anomaly Detection in IDC Equipment by Zhongxing Sun, Yuhao Zhou, Zheng Gong, Cong Wen, Zhenyu Cai, Xi Zeng

    Published 2025-06-01
    “…To accurately monitor the operational state of Internet Data Centers (IDCs) and fulfill integrated management objectives, this paper introduces a bidirectional cross-attention LSTM–Informer with uncertainty-aware multi-task learning framework (BiCA-LI) for time series analysis. …”
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  5. 545

    An Integrated Model for Circular Waste Management Using the Internet of Things, Semantic Web, and Gamification (Circonomy): Case Study in Indonesia by Vitri Tundjungsari, Bambang Purnomosidi Dwi Putranto, Muhamad Bahrul Ulum, Nizirwan Anwar

    Published 2025-05-01
    “…Like many developing countries, Indonesia has inadequate infrastructure to process the extremely high volume of waste produced throughout the country and minimal public participation in proper waste management. Although the Indonesian government regulates waste banks as a community-based waste management solution, there is a lack of integrated technological innovations to support waste banks. …”
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    Article
  6. 546

    Abnormality detection and privacy protection strategies for power marketing inspection business of cyber–physical–social systems using big data and artificial intelligence by Li Kai, Mo Pingyan, Yang Yongjiao, Xie Hanyang, Shen Zhixiong

    Published 2025-07-01
    “…Traditional inspection methods often fail to identify potential risks and abnormal behaviors effectively; to address this, we propose an intelligent security identification model for CPSS-based power marketing inspection by integrating advanced artificial intelligence techniques to enhance security defense and risk management. The proposed model incorporates a work order correlation matching algorithm, a fault interval detection algorithm, an electricity consumption prediction algorithm, and a business anomaly identification algorithm. …”
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    Article
  7. 547
  8. 548

    Improved crop row detection by employing attention-based vision transformers and convolutional neural networks with integrated depth modeling for precise spatial accuracy by Hassan Afzaal, Derek Rude, Aitazaz A. Farooque, Gurjit S. Randhawa, Arnold W. Schumann, Nicholas Krouglicof

    Published 2025-08-01
    “…This research presents a novel framework that integrates deep learning, precision agriculture, and depth modeling to detect crop rows and spatial information accurately. …”
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    Article
  9. 549
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    Development of Model for Traffic Flows on Urban Street and Road Network by D. V. Kapskiy, D. V. Navoy, P. A. Pegin

    Published 2019-02-01
    “…The first-level model has been implemented on the basis of fuzzy logic, for which a program has been developed and conditions have been determined, and operation of traffic light at a real local intersection of Minsk, which is included in the automated traffic management system, has been simulated. …”
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  11. 551

    Application of electrical nonlinear load harmonic analysis method integrating intelligent sensor data in intelligent agricultural power management by Jilei Qu, Meiying Niu, Qing Lin, Yanyan Li

    Published 2025-04-01
    “…In intelligent agricultural power management, the impact of harmonics on the power grid and its operating equipment cannot be ignored. …”
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    Article
  12. 552

    The Presence of An Avulsion Fracture of the 1st Tarso-Metatarsal Joint in Lisfranc Injuries is a Useful Adjunct in Detecting 1st TMTJ Instability by Prashant Singh FRCS, Neil Jones FRCS, Francesc Malagelada FRCS, Amit Patel FRCS, Lucky Jeyaseelan FRCS

    Published 2024-12-01
    “…Data were collected regarding the initial mechanism of injury, fracture classification (Myerson and Qenu). Injuries which were managed non-operatively were excluded from the study. …”
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  13. 553
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    Detection of the Cyclic Imines Pinnatoxin G, 13-Desmethyl Spirolide C and 20-Methyl Spirolide G in Bivalve Molluscs from Great Britain by Ryan P. Alexander, Alison O’Neill, Karl J. Dean, Andrew D. Turner, Benjamin H. Maskrey

    Published 2024-12-01
    “…Whilst official control monitoring provides ongoing risk management for regulated toxins in live bivalve molluscs, no routine monitoring system is currently in operation in the UK for other non-regulated toxins. …”
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    Machine learning based multi-stage intrusion detection system and feature selection ensemble security in cloud assisted vehicular ad hoc networks by C. Christy, A. Nirmala, A. Mary Odilya Teena, A. Isabella Amali

    Published 2025-07-01
    “…MLIDS-RFA has improved detection accuracy (96.2%) and computing efficiency (94.8%) for dynamic VANET management. …”
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  17. 557

    Challenges and Management Strategies for Mediterranean Cork Oak Forests: Impacts of Climate Change, Human Activities, and Invasive Species – A Review by Mesfin Boja, Kaouther Mechergui, Wahbi Jaouadi, Youssef Ammari

    Published 2025-07-01
    “…Long-term monitoring and proactive management strategies are crucial for early detection and control of invasive species and diseases, which will help mitigate their impacts and support forest health. …”
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  18. 558

    FPES-IDS: Forecast-Path and Exponential Smoothing-Based Intrusion Detection System to Mitigate Blackhole Attack in RPL-Based 6LoWPANs by V. R. Rajasekar, S. Rajkumar

    Published 2025-01-01
    “…This paper presents the Forecast-Path and Exponential Smoothing-based Intrusion Detection System (FPES-IDS) to detect and mitigate BHA in RPL-based IPv6 over Low-Power Wireless Personal Area Networks (6LoWPANs). …”
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    Validation of the Distress Thermometer for detecting psychological distress in patients with stable chronic obstructive pulmonary disease: optimal cut-off score and influencing fac... by Xu Tian, Xiaoling Liu, Xiuni Gan, Maria F. Jimenez-Herrera, Hongcai Shang, Yi Ren

    Published 2025-08-01
    “…The Distress Thermometer (DT), originally developed for cancer patients, is a brief screening tool for detecting psychological distress. However, the optimal cut-off in COPD patients remains unclear. …”
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