AIMC Topic: Recognition, Psychology

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Image Recognition and Parameter Analysis of Concrete Vibration State Based on Support Vector Machine.

Journal of visualized experiments : JoVE Jan 5, 2024
In this paper, the directional gradient histogram technology is employed to extract the features of concrete image samples captured under different vibration states. The support vector machine (SVM) is utilized to learn the relationship between image...
Machine Learning Vibration Recognition, Psychology Technology Support Vector Machine
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Hierarchical attention-guided multiscale aggregation network for infrared small target detection.

Neural networks : the official journal of the International Neural Network Society Dec 22, 2023
All man-made flying objects in the sky, ships in the ocean can be regarded as small infrared targets, and the method of tracking them has been received widespread attention in recent years. In search of a further efficient method for infrared small t...
Humans Image Processing, Computer-Assisted Recognition, Psychology Neural Networks, Computer Semantics
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Neural networks need real-world behavior.

The Behavioral and brain sciences Dec 6, 2023
Bowers et al. propose to use controlled behavioral experiments when evaluating deep neural networks as models of biological vision. We agree with the sentiment and draw parallels to the notion that "neuroscience needs behavior." As a promising path f...
Recognition, Psychology Humans Neural Networks, Computer Vision, Ocular Visual Perception Neurosciences
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Enhancing robustness in video recognition models: Sparse adversarial attacks and beyond.

Neural networks : the official journal of the International Neural Network Society Nov 25, 2023
Recent years have witnessed increasing interest in adversarial attacks on images, while adversarial video attacks have seldom been explored. In this paper, we propose a sparse adversarial attack strategy on videos (DeepSAVA). Our model aims to add a ...
Humans Neural Networks, Computer Recognition, Psychology Algorithms Time Factors Bayes Theorem
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An Effective Hybrid Deep Learning Model for Single-Channel EEG-Based Subject-Independent Drowsiness Recognition.

Brain topography Nov 23, 2023
Nowadays, road accidents pose a severe risk in cases of sleep disorders. We proposed a novel hybrid deep-learning model for detecting drowsiness to address this issue. The proposed model combines the strengths of discrete wavelet long short-term memo...
Recognition, Psychology Deep Learning Electroencephalography Benchmarking Mental Recall Humans
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Unavoidable social contagion of false memory from robots to humans.

The American psychologist Nov 20, 2023
Many of us interact with voice- or text-based conversational agents daily, but these conversational agents may unintentionally retrieve misinformation from human knowledge databases, confabulate responses on their own, or purposefully spread disinfor...
Recognition, Psychology Robotics Memory Mental Recall Social Interaction Humans Communication
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Development of a deep learning based image processing tool for enhanced organoid analysis.

Scientific reports Nov 13, 2023
Contrary to 2D cells, 3D organoid structures are composed of diverse cell types and exhibit morphologies of various sizes. Although researchers frequently monitor morphological changes, analyzing every structure with the naked eye is difficult. Given...
Deep Learning Image Processing, Computer-Assisted Humans Organoids Research Personnel Recognition, Psychology
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Segment-Based Unsupervised Learning Method in Sensor-Based Human Activity Recognition.

Sensors (Basel, Switzerland) Oct 13, 2023
Sensor-based human activity recognition (HAR) is a task to recognize human activities, and HAR has an important role in analyzing human behavior such as in the healthcare field. HAR is typically implemented using traditional machine learning methods....
Recognition, Psychology Labor, Obstetric Pregnancy Human Activities Unsupervised Machine Learning Female Humans Machine Learning
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Multi-level perception fusion dehazing network.

PloS one Oct 2, 2023
Image dehazing models are critical in improving the recognition and classification capabilities of image-related artificial intelligence systems. However, existing methods often ignore the limitations of receptive field size during feature extraction...
Empirical Research Research Design Artificial Intelligence Recognition, Psychology Perception
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Real-Time Sensor-Embedded Neural Network for Human Activity Recognition.

Sensors (Basel, Switzerland) Sep 28, 2023
This article introduces a novel approach to human activity recognition (HAR) by presenting a sensor that utilizes a real-time embedded neural network. The sensor incorporates a low-cost microcontroller and an inertial measurement unit (IMU), which is...
Human Activities Recognition, Psychology Movement Humans Neural Networks, Computer
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