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Music time signature detection using ResNet18
Time signature detection is a fundamental task in music information retrieval, aiding in music organization. In recent years, the demand for robust...
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Real-Time Pedestrian Detection
Real-time object detection has become increasingly important. In this exploration we will study the real-time pedestrian detection on raspberry pi...
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DCM3-YOLOv4: A Real-Time Multi-Object Detection Framework
The key issues for roadside sensing system (RSS) include achieving accuracy and real-time sharing of over-horizon perception information. This study...
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Signature-Based Community Detection for Time Series
Community detection for time series without prior knowledge poses an open challenge within complex networks theory. Traditional approaches begin by...
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Harmonic Time–Frequency Analysis and Detection Method Based on Improved MSST
This paper proposes a method for harmonic time–frequency analysis and detection based on an improved multi-synchrosqueezing transform (MSST). The aim...
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Real-time chatter detection based on fast recursive variational mode decomposition
Real-time chatter detection is crucial for avoiding damage to machine tools and workpieces. Time–frequency analysis methods have been extensively...
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Time series anomaly detection via clustering-based representation
Time series anomaly detection is an important field of data science. Statistical, distance-based, clustering-based, or density-based approaches can...
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LLTH-YOLOv5: A Real-Time Traffic Sign Detection Algorithm for Low-Light Scenes
Traffic sign detection is a crucial task for autonomous driving systems. However, the performance of deep learning-based algorithms for traffic sign...
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Research on Real-time Detection of Stacked Objects Based on Deep Learning
Deep Learning has garnered significant attention in the field of object detection and is widely used in both industry and everyday life. The...
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Real-time multimodal sensory detection using widefield hippocampal calcium imaging
The hippocampus is a complex structure that has a major role in learning and memory. It also integrates information from multisensory modalities,...
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Damage detection of frame structure using a novel time-domain regression method
Shear structure model is the most frequently used to model for the damage detection of frame building structures. However, due to the existence of...
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Real-time hybrid method for maneuver detection and estimation of non-cooperative space targets
A novel hybrid scheme for the maneuver detection and estimation of a noncooperative space target was proposed in this study. The optical...
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A real-time and accurate convolutional neural network for fabric defect detection
As a practical and challenging task, deep learning-based methods have achieved effective results for fabric defect detection, however, most of them...
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Real-Time Driver Drowsiness Detection Using Transfer Learning
Among the primary causes of traffic accidents, drowsy driving is identified, which poses a significant threat to road safety on a global scale,...
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An enhanced abnormal information expression spatiotemporal model for anomaly detection in multivariate time-series
The detection of anomalies in high-dimensional time-series has always played a crucial role in the domain of system security. Recently, with rapid...
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Real-Time Grasp Detection Using Efficient Channel Attention
To realize the intelligence of robots, robots need to have the ability to grasp unknown objects. In this paper, a novel grasp detection network is...
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Real-Time Stress Detection from Raw Noisy PPG Signals Using LSTM Model Leveraging TinyML
The negative effects of stress on well-being demonstrate the need for real-time detection. The increasing prevalence of wearables with AI...
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A novel deep facenet framework for real-time face detection based on deep learning model
Real-time face detection has many challenges, such as non-frontal faces, tiny faces, occlusions, and multifarious backgrounds. Real-time face...
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Two-stage complex action recognition framework for real-time surveillance automatic violence detection
Violent action classification in community-based surveillance is a particularly challenging concept in itself. The ambiguity of violence as a complex...
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Time Synchronized Multivariate Regressive Convolution Deep Neural Network Model for Sinkhole Attack Detection in WSN
As a result of technological growth, WSNs enable creative practical solutions for anything from basic communication to sophisticated applications,...
