Teacher Adaptability and Student Development in Online Teaching Environments: A Survey of Teachers of Chinese Mathematics Competitions for Gifted Students. [PDF]
Lin T, Jiang P, Xiong B.
europepmc +1 more source
Statistical and reliability analysis of communication disability severity in Saudi Arabia using novel probability distribution. [PDF]
Al-Essa LA+3 more
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The article introduces WACEfNet, a new convolutional neural network architecture optimized for efficient aerial image analysis under resource constraints. It creatively integrates attention mechanisms and atrous convolutions into a compact widened residual network framework.
Md Meftahul Ferdaus+4 more
wiley +1 more source
General Ability Level Moderates Cognitive-Achievement Relations for Mathematics. [PDF]
Niileksela CR, Robbins J, Hajovsky DB.
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Joint Situational Assessment‐Hierarchical Decision‐Making Framework for Maneuver Intent Decisions
This study introduces a new framework for decision‐making in unmanned combat aerial vehicles (UCAVs), integrating graph convolutional networks and hierarchical reinforcement learning (HRL). The method tackles adopts a curriculum‐based training approach guided by cross‐entropy rewards.
Ruihai Chen+4 more
wiley +1 more source
Factors Influencing College Students' Generative Artificial Intelligence Usage Behavior in Mathematics Learning: A Case from China. [PDF]
Lin W, Jiang P.
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Robot‐Assisted Measurement of the Critical Micelle Concentration
The study introduces (SIMO) smart integrator for manual operations, a robotic platform for precise, repeatable determination of (CMC) critical micelle concentration in surfactants. SIMO reduces standard deviation by 80% compared to manual methods. Surfactant, dye, and diluent selection, robotic protocols, and data handling are detailed.
Vincenzo Scamarcio+3 more
wiley +1 more source
Bayesian inference of a spatially dependent semi-Markovian model with application to Madagascar Covid'19 data. [PDF]
Raherinirina A+3 more
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Large Language Model‐Based Chatbots in Higher Education
The use of large language models (LLMs) in higher education can facilitate personalized learning experiences, advance asynchronized learning, and support instructors, students, and researchers across diverse fields. The development of regulations and guidelines that address ethical and legal issues is essential to ensure safe and responsible adaptation
Defne Yigci+4 more
wiley +1 more source
AI-driven energy management system based on hesitant bipolar complex fuzzy Hamacher power aggregation operators and their applications in MADM. [PDF]
Emam W+4 more
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