Asha Aruna Sheela Matta1, Venkata Purna Chandra Sekhara Rao Manukonda2

  • 1Department of Computer Science and Engineering, Acharya Nagarjuna University, Guntur, India.

Frontiers in big data
|March 16, 2026
PubMed
概括

这项研究引入了一个优化的深度学习框架,用于视频监控异常检测. 新的CNN-LSTM模型有效地识别了不寻常的活动,达到98.1%的准确性.

相关概念视频

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Detection of Black Holes

Although black holes were theoretically postulated in the 1920s, they remained outside the domain of observational astronomy until the 1970s.
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Not until the 1960s, when the first neutron...
Force Classification01:22

Force Classification

Forces play a crucial role in the study of physics and engineering. They are essential in describing the motion, behavior, and equilibrium of objects in the physical world. Forces can be classified based on their origin, type, and direction of action.
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State Space Representation01:27

State Space Representation

The frequency-domain technique, commonly used in analyzing and designing feedback control systems, is effective for linear, time-invariant systems. However, it falls short when dealing with nonlinear, time-varying, and multiple-input multiple-output systems. The time-domain or state-space approach addresses these limitations by utilizing state variables to construct simultaneous, first-order differential equations, known as state equations, for an nth-order system.
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