AIMC Topic: Recognition, Psychology

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Exploring the role of texture features in deep convolutional neural networks: Insights from Portilla-Simoncelli statistics.

Neural networks : the official journal of the International Neural Network Society Sep 20, 2023
It is well-understood that the performance of Deep Convolutional Neural Networks (DCNNs) in image recognition tasks is influenced not only by shape but also by texture information. Despite this, understanding the internal representations of DCNNs rem...
Neural Networks, Computer Recognition, Psychology
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Deep Learning in the Recognition of Activities of Daily Living Using Smartwatch Data.

Sensors (Basel, Switzerland) Aug 29, 2023
The recognition of human activities (HAR) using wearable device data, such as smartwatches, has gained significant attention in the field of computer science due to its potential to provide insights into individuals' daily activities. This article ai...
Humans Deep Learning Benchmarking Activities of Daily Living Movement Recognition, Psychology
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A brain-inspired algorithm that mitigates catastrophic forgetting of artificial and spiking neural networks with low computational cost.

Science advances Aug 25, 2023
Neuromodulators in the brain act globally at many forms of synaptic plasticity, represented as metaplasticity, which is rarely considered by existing spiking (SNNs) and nonspiking artificial neural networks (ANNs). Here, we report an efficient brain-...
Neural Networks, Computer Algorithms Brain Learning Recognition, Psychology
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A novel feature-scrambling approach reveals the capacity of convolutional neural networks to learn spatial relations.

Neural networks : the official journal of the International Neural Network Society Aug 18, 2023
Convolutional neural networks (CNNs) are one of the most successful computer vision systems to solve object recognition. Furthermore, CNNs have major applications in understanding the nature of visual representations in the human brain. Yet it remain...
Humans Neural Networks, Computer Brain Visual Perception Recognition, Psychology
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Aphid cluster recognition and detection in the wild using deep learning models.

Scientific reports Aug 17, 2023
Aphid infestation poses a significant threat to crop production, rural communities, and global food security. While chemical pest control is crucial for maximizing yields, applying chemicals across entire fields is both environmentally unsustainable ...
Animals Deep Learning Edible Grain Mental Recall Recognition, Psychology Aphids
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Signer-Independent Arabic Sign Language Recognition System Using Deep Learning Model.

Sensors (Basel, Switzerland) Aug 14, 2023
Every one of us has a unique manner of communicating to explore the world, and such communication helps to interpret life. Sign language is the popular language of communication for hearing and speech-disabled people. When a sign language user intera...
Humans Language Communication Deep Learning Recognition, Psychology Sign Language
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Edge detection using fast pixel based matching and contours mapping algorithms.

PloS one Aug 11, 2023
Current methods of edge identification were constrained by issues like lighting changes, position disparity, colour changes, and gesture variability, among others. The aforementioned modifications have a significant impact, especially on scaled facto...
Artificial Intelligence Algorithms Recognition, Psychology
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Spatial oblivion channel attention targeting intra-class diversity feature learning.

Neural networks : the official journal of the International Neural Network Society Aug 10, 2023
Convolutional neural networks (CNNs) have successfully driven many visual recognition tasks including image classification. However, when dealing with classification tasks with intra-class sample style diversity, the network tends to be disturbed by ...
Neural Networks, Computer Learning Recognition, Psychology
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GACN: Generative Adversarial Classified Network for Balancing Plant Disease Dataset and Plant Disease Recognition.

Sensors (Basel, Switzerland) Aug 1, 2023
Plant diseases are a critical threat to the agricultural sector. Therefore, accurate plant disease classification is important. In recent years, some researchers have used synthetic images of GAN to enhance plant disease recognition accuracy. In this...
Humans Neural Networks, Computer Agriculture Plant Diseases Research Personnel Recognition, Psychology
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Hybrid convolution neural network with channel attention mechanism for sensor-based human activity recognition.

Scientific reports Jul 26, 2023
In the field of machine intelligence and ubiquitous computing, there has been a growing interest in human activity recognition using wearable sensors. Over the past few decades, researchers have extensively explored learning-based methods to develop ...
Humans Neural Networks, Computer Algorithms Movement Human Activities Recognition, Psychology
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