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Updated: Jan 9, 2026

Implementation of a Real-Time Psychosis Risk Detection and Alerting System Based on Electronic Health Records using CogStack
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Implementation of a Real-Time Psychosis Risk Detection and Alerting System Based on Electronic Health Records using CogStack

Published on: May 15, 2020

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在whatsapp上使用PTS-GReLU-GRU进行有效的网络欺凌闪光识别,具有有害水平预测

M Karpagam1, N Naveenkumar2, Vani Panguluri3

  • 1Department of Computational Intelligence, Faculty of Engineering and Technology, SRM Institute of Science and Technology, SRM Nagar, Kattankulathur, Chennai, 603203, Tamil Nadu, India.

Scientific reports
|December 4, 2025
PubMed
概括

这项研究引入了一个新的模型来检测WhatsApp上的网络欺凌和网络闪光,准确地预测有害程度. 该模型实现了高精度,提高了社交媒体用户的在线安全性.

关键词:
网络闪光 网络闪光网络欺凌就是网络欺凌.基于日志的自适应性神经模糊推理系统 (LE-ANFIS)基于功率变压器扩展器的高斯直化线性单元门式循环单元 (PTS-GReLU-GRU)这是YOLOv3

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