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    Indoor fire and smoke detection based on optimized YOLOv5. by Md Shafak Shahriar Sozol, M Rubaiyat Hossain Mondal, Achmad Husni Thamrin

    Published 2025-01-01
    “…Ensuring safety and safeguarding indoor properties require reliable fire detection methods. Traditional detection techniques that use smoke, heat, or fire sensors often fail due to false positives and slow response time. …”
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    Article
  4. 144

    FD-YOLO: A YOLO Network Optimized for Fall Detection by Hoseong Hwang, Donghyun Kim, Hochul Kim

    Published 2025-01-01
    “…This study focuses on detecting fall situations using image-based methods. …”
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    Article
  5. 145

    STID-Net: Optimizing Intrusion Detection in IoT with Gradient Descent by James Deva Koresh Hezekiah, Usha Nandini Duraisamy, Kalaichelvi Nallusamy, Avudaiammal Ramalingam, Saranya Chandran, Murugesan Rajeswari Thiyagupriyadharsan, Periasamy Selvaraju, Rajagopal Maheswar

    Published 2025-03-01
    “…The rapid evolution of IoT environment in medical and industrial applications has led to an increase in network vulnerabilities, making an intrusion detection system a critical requirement. Existing methods often struggle in capturing complex and irregular patterns from dynamic intrusion data, making them not suitable for different IoT applications. …”
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    An optimized anomaly detection framework in industrial control systems through grey wolf optimizer and autoencoder integration by Muhammad Muzamil Aslam, Liyanage Chandratilak De Silva, Rosyzie Anna Awg Haji Mohd Apong, Ali Tufail

    Published 2025-07-01
    “…The method operates in two stages: (1) Optimizing GWO for feature selection to identify relevant features and reduce feature errors, and (2) Utilizing AE for efficient anomaly detection. …”
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  10. 150

    Improving detection of Parkinson’s disease with acoustic feature optimization using particle swarm optimization and machine learning by Elmoundher Hadjaidji, Mohamed Cherif Amara Korba, Khaled Khelil

    Published 2025-01-01
    “…A 5-fold cross-validation technique was adopted to evaluate the effectiveness of our method for PD detection. The results show that our approach significantly improves performance regardless of the classifier used, demonstrating its generalization capability. …”
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  11. 151

    Establishment of an indirect ELISA method for detection of human cytomegalovirus by LI Xu, WANG Shan, HUANG Huan, WANG Bin, QIAN Dongmeng

    Published 2025-06-01
    “…An indirect ELISA method for HCMV was established by optimizing the detection conditions such as serum dilution ratio and the type of blocking solution, and the cut-off value of this method was determined; coefficient of variation (CV) was calculated to verify the repeatability of the method; the sensitivity and specificity of the method were assessed by detecting the serum samples from the patients with positive HCMV IgG, HSV-1, HSV-2, and EBV at various dilution ratios; the consistency rate between HCMV indirect ELISA and cytomegalovirus IgG ELISA kit was assessed by analyzing the serum samples of 349 healthy volunteers undergoing physical examination at the outpatient service. …”
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    DETERMINATION OF THE OPTIMAL METHOD OF TREATMENT OF PATIENTS WITH ACUTE DESTRUCTIVE PANCREATITIS by B. N. Gurmikov, M. S. Bolokov, A. B. Apsheva

    Published 2016-10-01
    “…Optimal methods for the presence of liquid components are minimally invasive interventions under ultrasound navigation and laparoscopy.…”
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    Outlier Detection and Explanation Method Based on FOLOF Algorithm by Lei Bai, Jiasheng Wang, Yu Zhou

    Published 2025-05-01
    “…This paper introduces a local outlier detection method named FOLOF (FCM Objective Function-based LOF) through an examination of existing algorithms. …”
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  20. 160

    A Method of Printing Defect Detection Based on DCGAN by WANG Hai-tao, GAO Yu-dong, HOU Jian-xin, HE Yong-jun, CHEN De-yun

    Published 2021-12-01
    “…This method adds denoising processing, optimizes the network structure, and improves the accuracy of DCGAN image generation.The experiment shows that the accuracy of the method can be improved by 10% in the defect detection experiment to less than 5 pixels compared with the existing method…”
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