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681
Behavior of buried sliplined corrugated metal pipes subjected to footing loading
Published 2025-03-01Get full text
Article -
682
LLM-Driven Social Influence for Cooperative Behavior in Multi-Agent Systems
Published 2025-01-01Get full text
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683
Investigating the Behavior and Spatiotemporal Variations of Green-line Emission in the Solar Corona
Published 2024-01-01Get full text
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684
Exploring the connecting potential of AI: Integrating human interpersonal listening and parasocial support into human-computer interactions
Published 2025-05-01“…Computers in Human Behavior: Artificial Humans…”
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685
Ensemble boosting-based soft-computing models for predicting the bond strength between steel and CFRP plate
Published 2025-07-01Get full text
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686
Magnetic tunnel junctions driven by hybrid optical-electrical signals as a flexible neuromorphic computing platform
Published 2025-08-01“…Abstract Magnetic tunnel junctions (MTJs) offer a promising pathway toward energy-efficient neuromorphic computing due to their nanoscale footprint, nonvolatile switching, and intrinsic nonlinear dynamics that emulate synaptic behavior. …”
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687
Online Buying Behavior among University Students: A Cross Cultural Empirical Analysis
Published 2020-06-01“…The main reason for the high usage of the internet is the affordable price of mobile gadgets and low internet tariff plans. Consumer behavior is influenced by various factors such as culture, social class, reference groups relationship, family, income level and income independency, age, gender, etc. …”
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688
Behavior-driven forecasts of neighborhood-level COVID-19 spread in New York City.
Published 2025-04-01Get full text
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689
Analyzing the learning behavior patterns of business english learners using deep learning technology
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690
Design and application of a music recommendation system based on user behavior and feature recognition
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691
A fully-integrated flexible in-sensor computing circuit based on gel-gated organic electrochemical transistors
Published 2025-08-01“…Abstract Organic electrochemical transistors (OECTs) are promising technologies for biosensing and brain-inspired computing due to their low-power signal amplification and neuron-like behavior. …”
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692
Polarity-tunable dye-sensitized optoelectronic artificial synapses for physical reservoir computing-based machine vision
Published 2025-05-01“…The wavelength-dependent bipolar behavior enables exceptional separation capabilities, achieving six-bit resolution with 64 distinct states and supporting multiple logic operations, including AND, OR, and XOR, within a single device. …”
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694
Edge Computing-Based Video Action Recognition Method and Its Application in Online Physical Education Teaching
Published 2024-01-01“…Given the characteristics of online PE teaching, introducing artificial intelligence technology to automatically detect or recognize students’ actions or behaviors has gradually emerged as a trend. However, traditional cloud computing-based intelligent online PE teaching systems often face various challenging issues, such as computational complexity and latency. …”
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Hardware-friendly implementation of physical reservoir computing with CMOS-based time-domain analog spiking neurons
Published 2025-01-01“…With behavioral system-level simulations, we demonstrate physical RC through short-term memory and exclusive OR tasks, and the spoken digit recognition task with an accuracy of 97.7% as well. …”
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697
Association of sex and training phase with physical activity and sedentary behavior in nursing students
Published 2024-03-01“…Men were more active in commuting and leisure than women. Sedentary behavior is associated with gender and a training phase. …”
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698
A Model for Predicting IoT User Behavior Based on Bayesian Learning and Neural Networks
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699
Academic cheating with generative AI: Exploring a moral extension of the theory of planned behavior
Published 2025-06-01Get full text
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700
The digital fingerprint of learner behavior: Empirical evidence for individuality in learning using deep learning
Published 2024-12-01“…Personalized learning builds upon the fundamental assumption of uniqueness in learning behavior, often taken for granted. Quite surprisingly, however, the literature provides little to no empirical evidence backing the existence of individual learning behaviors. …”
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