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Underdetermined mixing matrix estimation based on time-frequency single source points detection and eigenvalue decomposition
In this paper, a method of mixing matrix estimation based on time-frequency single source points detection and eigenvalue decomposition is proposed...
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An experimental study of existing tools for outlier detection and cleaning in trajectories
Outlier detection and cleaning are essential steps in data preprocessing to ensure the integrity and validity of data analyses. This paper focuses on...
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Face Detection
Face detection is the first step of most face-related applications such as face recognition, face tracking, facial expression recognition, facial...
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Low-light DEtection TRansformer (LDETR): object detection in low-light and adverse weather conditions
Object detection has recently gained popularity mainly due to the development of deep learning techniques. However, undesirable noise challenges...
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SmartBuoy: A Machine Learning-Based Detection Method for Interest Flooding Attacks in VNDN
Due to the advantages of multi-source, multi-path, and in-network caching, Named Data Networking (NDN) can improve the efficiency of data exchange in...
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Detection
Intrusion detection represents a fundamental security function. It consists of monitoring network traffic and host processes for suspicious activity,...
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Multilinguality in Misinformation Detection
This chapter examines the value of multilingualism and how it can be used to address different NLP issues. It first presents a multilingual...
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System Intrusion Detection and Prevention
Psychologically there is value attached to ownership of an asset. How much is spent on protecting the asset determines the value of the asset. Once a...
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Network intrusion detection and prevention strategy with data encryption using hybrid detection classifier
Advances in technology and communication have led to an increase in data and network sizes. As a result, many intrusions (attacks) are created and...
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Multimodality in Misinformation Detection
The fifth chapter explores the importance of multimodality in solving various NLP tasks. It begins with the discussion of the basic introduction of...
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AI-Based Android Malware Detection Methods
With the support of artificial intelligence technology, the integration of program analysis techniques and machine learning algorithms has gradually...
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Context-guided coarse-to-fine detection model for bird nest detection on high-speed railway catenary
As a critical component of ensuring the safe and stable operation of trains, the detection of bird’s nests on the rail catenary has always been...
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Future Trends in Android Malware Detection
To effectively protect users’ security, the field of Android malware detection is constantly evolving. Various technical means, such as static...
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Academic Plagiarism Detection
This chapter provides background information on academic plagiarism and reviews technical approaches to detect it. Section Chapter 1 derives a...
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Photovoltaic glass edge defect detection based on improved SqueezeNet
With the global energy shortage, countries all over the world are vigorously develo** new energy sources, and photovoltaic glass, as an important...
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Enhancing stance detection through sequential weighted multi-task learning
The exponential growth of user-generated content on social media platforms, online news outlets, and digital communication has necessitated the...
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A review of 3D object detection based on autonomous driving
3D object detection is a popular research direction in recent years, which plays an important role in the fields of automatic driving, intelligent...
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MDL Change Detection
In this chapter, we show an application of the MDL principle to change detection. It is one of most practically important issues in data science,...
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Multi-source-free Domain Adaptive Object Detection
To enhance the transferability of object detection models in real-world scenarios where data is sampled from disparate distributions, considerable...
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A gradient based dual detection model for shot boundary detection
An efficient video shot boundary detection is highly desirable for subsequent semantic video content analysis and retrieval applications. The major...
