AIMC Topic: Mental Recall

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A quality grade classification method for fresh tea leaves based on an improved YOLOv8x-SPPCSPC-CBAM model.

Scientific reports Feb 20, 2024
In light of the prevalent issues concerning the mechanical grading of fresh tea leaves, characterized by high damage rates and poor accuracy, as well as the limited grading precision through the integration of machine vision and machine learning (ML)...
Plant Leaves Tea Machine Learning Algorithms Mental Recall
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Ensemble learning based transmission line fault classification using phasor measurement unit (PMU) data with explainable AI (XAI).

PloS one Feb 12, 2024
A large volume of data is being captured through the Phasor Measurement Unit (PMU), which opens new opportunities and challenges to the study of transmission line faults. To be specific, the Phasor Measurement Unit (PMU) data represents many differen...
Mental Recall Computer Simulation Machine Learning Cluster Analysis Research Design
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Using deep neural networks to disentangle visual and semantic information in human perception and memory.

Nature human behaviour Feb 8, 2024
Mental representations of familiar categories are composed of visual and semantic information. Disentangling the contributions of visual and semantic information in humans is challenging because they are intermixed in mental representations. Deep neu...
Semantics Memory Adult Male Facial Recognition Recognition, Psychology Humans Visual Perception Neural Networks, Computer Mental Recall Female Young Adult
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Quantitative evaluation of Saliency-Based Explainable artificial intelligence (XAI) methods in Deep Learning-Based mammogram analysis.

European journal of radiology Feb 5, 2024
BACKGROUND: Explainable Artificial Intelligence (XAI) is prominent in the diagnostics of opaque deep learning (DL) models, especially in medical imaging. Saliency methods are commonly used, yet there's a lack of quantitative evidence regarding their ...
Artificial Intelligence Female Humans Mammography Breast Neoplasms Deep Learning Mental Recall
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AMDDLmodel: Android smartphones malware detection using deep learning model.

PloS one Jan 19, 2024
Android is the most popular operating system of the latest mobile smart devices. With this operating system, many Android applications have been developed and become an essential part of our daily lives. Unfortunately, different kinds of Android malw...
Engineering Computers, Handheld Deep Learning Smartphone Mental Recall
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Automated scoring of the autobiographical interview with natural language processing.

Behavior research methods Jan 17, 2024
The autobiographical interview has been used in more than 200 studies to assess the content of autobiographical memories. In a typical experiment, participants recall memories, which are then scored manually for internal details (episodic details fro...
Narration Natural Language Processing Memory, Episodic Mental Recall Humans Language
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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...
Mental Recall Humans Electroencephalography Recognition, Psychology Benchmarking Deep Learning
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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 Humans Communication Mental Recall Robotics Social Interaction Memory
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Assessment of the capacity of ChatGPT as a self-learning tool in medical pharmacology: a study using MCQs.

BMC medical education Nov 13, 2023
BACKGROUND: ChatGPT is a large language model developed by OpenAI that exhibits a remarkable ability to simulate human speech. This investigation attempts to evaluate the potential of ChatGPT as a standalone self-learning tool, with specific attentio...
Learning Artificial Intelligence Humans Mental Recall Problem Solving Language Pharmacology, Clinical
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A multilayered bidirectional associative memory model for learning nonlinear tasks.

Neural networks : the official journal of the International Neural Network Society Aug 19, 2023
A multilayered bidirectional associative memory neural network is proposed to account for learning nonlinear types of association. The model (denoted as the MF-BAM) is composed of two modules, the Multi-Feature extracting bidirectional associative me...
Learning Neural Networks, Computer Algorithms Mental Recall
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