AIMC Topic: Humans

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Attentional responses in toddlers: A protocol for assessing the impact of a robotic animated animal and a real dog.

PloS one Jul 2, 2025
BACKGROUND: Attentional processes in toddlers are characterized by a state of alertness in which they focus their waking state for short periods. It is essential to develop assessment and attention stimulation protocols from an early age to improve t...
Attention Photic Stimulation Animals Male Humans Female Infant Robotics Dogs Child, Preschool Cognition
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Towards real-world monitoring scenarios: An improved point prediction method for crowd counting based on contrastive learning.

PloS one Jul 2, 2025
In open environments, complex and variable backgrounds and dense multi-scale targets are two key challenges for crowd counting. Due to the reliance on supervised learning with labeled data, current methods struggle to adapt to crowd detection in comp...
Machine Learning Algorithms Crowding Humans Neural Networks, Computer
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Particle swarm optimization-based NLP methods for optimizing automatic document classification and retrieval.

PloS one Jul 2, 2025
Text classification plays an essential role in natural language processing and is commonly used in tasks like categorizing news, sentiment analysis, and retrieving relevant information. [0pc][-9pc]Please check and confirm the inserted city and countr...
Humans Machine Learning Particle Swarm Optimization Natural Language Processing Algorithms Information Storage and Retrieval Deep Learning
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The design of consumer behavior prediction and optimization model by integrating DQN and LSTM.

PloS one Jul 2, 2025
Amidst the rapid evolution of e-commerce and the growing abundance of consumer shopping data, accurately identifying consumer interests and enabling targeted outreach has become a critical focus for merchants and researchers. This study introduces th...
Humans Consumer Behavior Reinforcement, Psychology Deep Learning
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Understanding dimensions of trust in AI through quantitative cognition: Implications for human-AI collaboration.

PloS one Jul 2, 2025
Human-AI collaborative innovation relies on effective and clearly defined role allocation, yet empirical research in this area remains limited. To address this gap, we construct a cognitive taxonomy trust in AI framework to describe and explain its i...
Trust Cognition Cooperative Behavior Female Male Humans Artificial Intelligence
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Enhancing IDS for the IoMT based on advanced features selection and deep learning methods to increase the model trustworthiness.

PloS one Jul 2, 2025
Information technology has significantly impacted society. IoT and its specialized variant, IoMT, enable remote patient monitoring and improve healthcare. While it contributes to improving healthcare services, it may pose significant security challen...
Internet of Things Algorithms Deep Learning Humans Neural Networks, Computer
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MRI based early Temporal Lobe Epilepsy detection using DGWO based optimized HAETN and Fuzzy-AAL Segmentation Framework (FASF).

PloS one Jul 2, 2025
This work aims to promote early and accurate diagnosis of Temporal Lobe Epilepsy (TLE) by developing state-of-the-art deep learning techniques, with the goal of minimizing the consequences of epilepsy on individuals and society. Current approaches fo...
Humans Adult Male Deep Learning Algorithms Female Image Processing, Computer-Assisted Fuzzy Logic Magnetic Resonance Imaging Epilepsy, Temporal Lobe
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Educational improvement through machine learning: Strategic models for better PISA scores.

PloS one Jul 2, 2025
In this study, in addition to traditional variables such as economic wealth or the number of books read, on which many studies have already been conducted, variables that are thought to influence student achievement and better predict success are ide...
Educational Measurement Humans Machine Learning Reading Male Female Students
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Iron metabolism and preeclampsia: new insights from bioinformatics analysis.

The journal of maternal-fetal & neonatal medicine : the official journal of the European Association of Perinatal Medicine, the Federation of Asia and Oceania Perinatal Societies, the International Society of Perinatal Obstetricians Jul 1, 2025
OBJECTIVE: Preeclampsia (PE) is a multifactorial systemic pregnancy disease, in which iron metabolism and ferroptosis play significant roles during its pathogenesis. The diagnosis and prevention of PE remain urgent clinical issues that need to be add...
Gene Expression Profiling Computational Biology Pregnancy Humans Iron Female Ferroptosis Machine Learning Pre-Eclampsia
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Real-Time Detection of Trace Breath Isoprene Based on Circular Domain Spectral Reconstruction Filtering Combined with Convolutional Neural Network.

Analytical chemistry Jul 1, 2025
The detection of trace isoprene in breath provides a noninvasive method for lung cancer diagnosis. However, the presence of interfering components and the parts per billion (ppb) concentration levels of isoprene in breath complicate detection. In thi...
Humans Pentanes Neural Networks, Computer Butadienes Spectrophotometry, Ultraviolet Convolutional Neural Networks Hemiterpenes Breath Tests
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